Cleanup AgentInitializer component

src/backend/langflow/custom/customs.py

@@ -13,7 +13,6 @@ CUSTOM_NODES = {
     "agents": {
         "JsonAgent": frontend_node.agents.JsonAgentNode(),
         "CSVAgent": frontend_node.agents.CSVAgentNode(),
-        "AgentInitializer": frontend_node.agents.InitializeAgentNode(),
         "VectorStoreAgent": frontend_node.agents.VectorStoreAgentNode(),
         "VectorStoreRouterAgent": frontend_node.agents.VectorStoreRouterAgentNode(),
         "SQLAgent": frontend_node.agents.SQLAgentNode(),

src/backend/langflow/interface/agents/custom.py

@@ -264,45 +264,9 @@ class VectorStoreRouterAgent(CustomAgentExecutor):
         return super().run(*args, **kwargs)
 
 
-class InitializeAgent(CustomAgentExecutor):
-    """Implementation of AgentInitializer function"""
-
-    @staticmethod
-    def function_name():
-        return "AgentInitializer"
-
-    @classmethod
-    def initialize(
-        cls,
-        llm: BaseLanguageModel,
-        tools: List[Tool],
-        agent: str,
-        memory: Optional[BaseChatMemory] = None,
-    ):
-        # Find which value in the AgentType enum corresponds to the string
-        # passed in as agent
-        agent = AgentType(agent)
-        return initialize_agent(
-            tools=tools,
-            llm=llm,
-            # LangChain now uses Enum for agent, but we still support string
-            agent=agent,  # type: ignore
-            memory=memory,
-            return_intermediate_steps=True,
-            handle_parsing_errors=True,
-        )
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-    def run(self, *args, **kwargs):
-        return super().run(*args, **kwargs)
-
-
 CUSTOM_AGENTS = {
     "JsonAgent": JsonAgent,
     "CSVAgent": CSVAgent,
-    "AgentInitializer": InitializeAgent,
     "VectorStoreAgent": VectorStoreAgent,
     "VectorStoreRouterAgent": VectorStoreRouterAgent,
     "SQLAgent": SQLAgent,

src/backend/langflow/template/frontend_node/agents.py

@@ -146,57 +146,6 @@ class CSVAgentNode(FrontendNode):
     base_classes: list[str] = ["AgentExecutor"]
 
 
-class InitializeAgentNode(FrontendNode):
-    name: str = "AgentInitializer"
-    display_name: str = "AgentInitializer"
-    template: Template = Template(
-        type_name="initialize_agent",
-        fields=[
-            TemplateField(
-                field_type="str",  # pyright: ignore
-                required=True,
-                is_list=True,  # pyright: ignore
-                show=True,
-                multiline=False,
-                options=list(NON_CHAT_AGENTS.keys()),
-                value=list(NON_CHAT_AGENTS.keys())[0],
-                name="agent",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="BaseChatMemory",  # pyright: ignore
-                required=False,
-                show=True,
-                name="memory",
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="Tool",  # pyright: ignore
-                required=True,
-                show=True,
-                name="tools",
-                is_list=True,  # pyright: ignore
-                advanced=False,
-            ),
-            TemplateField(
-                field_type="BaseLanguageModel",  # pyright: ignore
-                required=True,
-                show=True,
-                name="llm",
-                display_name="LLM",
-                advanced=False,
-            ),
-        ],
-    )
-    description: str = """Construct a zero shot agent from an LLM and tools."""
-    base_classes: list[str] = ["AgentExecutor", "Callable"]
-
-    @staticmethod
-    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
-        # do nothing and don't return anything
-        pass
-
-
 class JsonAgentNode(FrontendNode):
     name: str = "JsonAgent"
     template: Template = Template(