fix: make agent work with new tool mode backend updates (#7314)

* update tools in agents

* fix: update tool status check to default to True

* refactor: rename to_toolkit method to _get_tools and remove deprecated code

* [autofix.ci] apply automated fixes

* fix: makes agent tool metadata be correctly generated

* Update agent JSON files with new code for Agent component

* Enhance Financial Agent JSON configuration with updated code for the Agent component, including improved memory handling, tool validation, and error logging for better robustness and async functionality.

---------

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

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

@@ -238,7 +238,7 @@ class LCToolsAgentComponent(LCAgentComponent):
             tools_names = ", ".join([tool.name for tool in self.tools])
         return tools_names
 
-    async def to_toolkit(self) -> list[Tool]:
+    async def _get_tools(self) -> list[Tool]:
         component_toolkit = _get_component_toolkit()
         tools_names = self._build_tools_names()
         agent_description = self.get_tool_description()

src/backend/base/langflow/base/tools/component_tool.py

@@ -317,7 +317,7 @@ class ComponentToolkit:
                     if tag in metadata_dict:
                         tool_metadata = metadata_dict[tag]
                         # Only include tools with status=True
-                        if tool_metadata.get("status", False):
+                        if tool_metadata.get("status", True):
                             tool.name = tool_metadata.get("name", tool.name)
                             tool.description = tool_metadata.get("description", tool.description)
                             if tool_metadata.get("commands"):

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

@@ -12,9 +12,7 @@ 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
@@ -270,16 +268,3 @@ 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/tool_calling.py

@@ -2,8 +2,6 @@ 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
@@ -56,11 +54,3 @@ 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