fix: fixes langchain tool calling agent component toolkit (#5878)

* update tool kit in tool calling agent

* lint error

* Update agent.py

* [autofix.ci] apply automated fixes

* format errors

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes (attempt 2/3)

* Update component_tool.py

* [autofix.ci] apply automated fixes

* Refactor tool calling logic for improved readability and efficiency

* Add tool_mode parameter to agent outputs

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>

src/backend/base/langflow/base/agents/agent.py

@@ -69,7 +69,7 @@ class LCAgentComponent(Component):
     ]
 
     outputs = [
-        Output(display_name="Agent", name="agent", method="build_agent", hidden=True),
+        Output(display_name="Agent", name="agent", method="build_agent", hidden=True, tool_mode=False),
         Output(display_name="Response", name="response", method="message_response"),
     ]
 

src/backend/base/langflow/components/agents/agent.py

@@ -10,7 +10,9 @@ from langflow.base.models.model_utils import get_model_name
 from langflow.components.helpers import CurrentDateComponent
 from langflow.components.helpers.memory import MemoryComponent
 from langflow.components.langchain_utilities.tool_calling import ToolCallingAgentComponent
+from langflow.custom.custom_component.component import _get_component_toolkit
 from langflow.custom.utils import update_component_build_config
+from langflow.field_typing import Tool
 from langflow.io import BoolInput, DropdownInput, MultilineInput, Output
 from langflow.logging import logger
 from langflow.schema.dotdict import dotdict
@@ -264,3 +266,16 @@ class AgentComponent(ToolCallingAgentComponent):
                         component_class, build_config, field_value, "model_name"
                     )
         return dotdict({k: v.to_dict() if hasattr(v, "to_dict") else v for k, v in build_config.items()})
+
+    async def to_toolkit(self) -> list[Tool]:
+        component_toolkit = _get_component_toolkit()
+        tools_names = self._build_tools_names()
+        agent_description = self.get_tool_description()
+        # TODO: Agent Description Depreciated Feature to be removed
+        description = f"{agent_description}{tools_names}"
+        tools = component_toolkit(component=self).get_tools(
+            tool_name=self.get_tool_name(), tool_description=description, callbacks=self.get_langchain_callbacks()
+        )
+        if hasattr(self, "tools_metadata"):
+            tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)
+        return tools

src/backend/base/langflow/components/langchain_utilities/csv_agent.py

@@ -56,7 +56,7 @@ class CSVAgentComponent(LCAgentComponent):
 
     outputs = [
         Output(display_name="Response", name="response", method="build_agent_response"),
-        Output(display_name="Agent", name="agent", method="build_agent", hidden=True),
+        Output(display_name="Agent", name="agent", method="build_agent", hidden=True, tool_mode=False),
     ]
 
     def _path(self) -> str:

src/backend/base/langflow/components/langchain_utilities/tool_calling.py

@@ -2,6 +2,8 @@ from langchain.agents import create_tool_calling_agent
 from langchain_core.prompts import ChatPromptTemplate
 
 from langflow.base.agents.agent import LCToolsAgentComponent
+from langflow.custom.custom_component.component import _get_component_toolkit
+from langflow.field_typing import Tool
 from langflow.inputs import MessageTextInput
 from langflow.inputs.inputs import DataInput, HandleInput
 from langflow.schema import Data
@@ -54,3 +56,11 @@ class ToolCallingAgentComponent(LCToolsAgentComponent):
         except NotImplementedError as e:
             message = f"{self.display_name} does not support tool calling. Please try using a compatible model."
             raise NotImplementedError(message) from e
+
+    async def to_toolkit(self) -> list[Tool]:
+        component_toolkit = _get_component_toolkit()
+        toolkit = component_toolkit(component=self)
+        tools = toolkit.get_tools(callbacks=self.get_langchain_callbacks())
+        if hasattr(self, "tools_metadata"):
+            tools = toolkit.update_tools_metadata(tools=tools)
+        return tools