worker node tool langchain setup

swarms/agents/workers/worker_agent.py

@@ -1,21 +1,13 @@
 from swarms.tools.agent_tools import *
-from langchain.tools import BaseTool
+from langchain.tools import BaseTool, tool
 from typing import Optional, Type
 from langchain.callbacks.manager import (
     AsyncCallbackManagerForToolRun,
     CallbackManagerForToolRun,
 )
-from langchain.tools import tool
 
-
+class WorkerNode(BaseTool):
-# ---------- Worker Node ----------
-from pydantic import Field
-#
-@tool
-class WorkerNode():
     """Useful for when you need to spawn an autonomous agent instance as a worker to accomplish complex tasks, it can search the internet or spawn child multi-modality models to process and generate images and text or audio and so on """
-    # name = "WorkerNode"
-    # description = "Useful for when you need to spawn an autonomous agent instance as a worker to accomplish complex tasks, it can search the internet or spawn child multi-modality models to process and generate images and text or audio and so on."
 
     def __init__(self, llm, tools, vectorstore):
         super().__init__()
@@ -34,6 +26,10 @@ class WorkerNode():
         )
         self.agent.chain.verbose = True
 
+    @tool(
+        name="Worker AutoBot Agent",
+        description="Useful for when you need to spawn an autonomous agent instance as a worker to accomplish complex tasks, it can search the internet or spawn child multi-modality models to process and generate images and text or audio and so on",
+    )
     def _run(
         self, prompt: str, run_manager: Optional[CallbackManagerForToolRun] = None
     ) -> str: