FInal changes2

src/langgraph_agenticAI/Nodes/chat_with_Tool_node.py

@@ -0,0 +1,43 @@
+from src.langgraph_agenticAI.States.state import State
+
+class ChatbotWithToolNode:
+    """
+    Chatbot logic enhanced with tool integration.
+    """
+    def __init__(self,model):
+        self.llm = model
+
+    def process(self, state: State) -> dict:
+        """
+        Processes the input state and generates a response with tool integration.
+        """
+        user_input = state["messages"][-1] if state["messages"] else ""
+        llm_response = self.llm.invoke([{"role": "user", "content": user_input}])
+
+        # Simulate tool-specific logic
+        tools_response = f"Tool integration for: '{user_input}'"
+
+        return {"messages": [llm_response, tools_response]}
+    
+    def create_chatbot(self, tools):
+        """
+        Returns a chatbot node function.
+        """
+        llm_with_tools = self.llm.bind_tools(tools)
+
+        def chatbot_node(state: State):
+            """
+            Chatbot logic for processing the input state and returning a response.
+            """
+            return {"messages": [llm_with_tools.invoke(state["messages"])]}
+
+        return chatbot_node
+ 
+        
+
+        
+    
+    
+    
+    
+    

src/langgraph_agenticAI/Tools/search_tools.py

@@ -1,4 +1,4 @@
-from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain_community.tools.tavily_search import TavilySearchResults  #also user serper api for search engine
 from langgraph.prebuilt import ToolNode
 
 def get_tools():