workernode is inited with llm tools and vectorstoe

swarms/agents/workers/worker_agent.py

@@ -10,12 +10,12 @@ class WorkerNode(BaseTool):
     """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 = "A worker node that can perform complex tasks"
-    
-    def __init__(self, llm, tools, vectorstore):
-        super().__init__()
-        self.llm = llm
-        self.tools = tools
-        self.vectorstore = vectorstore
+    llm: Any = Field(description="Language model")
+    tools: List[Tool] = Field(description="List of tools")
+    vectorstore: VectorStore = Field(description="Vector store")
+
+    def __init__(self, **data):
+        super().__init__(**data)
 
     def create_agent(self, ai_name, ai_role, human_in_the_loop, search_kwargs):
         self.agent = AutoGPT.from_llm_and_tools(

swarms/swarms.py

@@ -32,13 +32,7 @@ class Swarms:
         return FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {})
 
     def initialize_worker_node(self, llm, tools, vectorstore):
-        worker_node = WorkerNode(
-            llm=llm, 
-            tools=tools, 
-            vectorstore=vectorstore, 
-            name="WorkerNode", 
-            description="A worker node that can perform complex tasks"
-        )
+        worker_node = WorkerNode(llm=llm, tools=tools, vectorstore=vectorstore)
         worker_node.create_agent(ai_name="AI Assistant", ai_role="Assistant", human_in_the_loop=False, search_kwargs={})
         return worker_node