from langgraph.graph import StateGraph, START,END, MessagesState from langgraph.prebuilt import tools_condition,ToolNode from langchain_core.prompts import ChatPromptTemplate from src.langgraphagenticai.state.state import State from src.langgraphagenticai.nodes.basic_chatbot_node import BasicChatbotNode from src.langgraphagenticai.nodes.chatbot_with_Tool_node import ChatbotWithToolNode from src.langgraphagenticai.tools.search_tool import get_tools,create_tool_node class GraphBuilder: def __init__(self,model): self.llm=model self.graph_builder=StateGraph(State) def basic_chatbot_build_graph(self): """ Builds a basic chatbot graph using LangGraph. This method initializes a chatbot node using the `BasicChatbotNode` class and integrates it into the graph. The chatbot node is set as both the entry and exit point of the graph. """ self.basic_chatbot_node=BasicChatbotNode(self.llm) self.graph_builder.add_node("chatbot",self.basic_chatbot_node.process) self.graph_builder.add_edge(START,"chatbot") self.graph_builder.add_edge("chatbot",END) def chatbot_with_tools_build_graph(self): """ Builds an advanced chatbot graph with tool integration. This method creates a chatbot graph that includes both a chatbot node and a tool node. It defines tools, initializes the chatbot with tool capabilities, and sets up conditional and direct edges between nodes. The chatbot node is set as the entry point. """ ## Define the tool and tool node tools=get_tools() tool_node=create_tool_node(tools) ##Define LLM llm = self.llm # Define chatbot node obj_chatbot_with_node = ChatbotWithToolNode(llm) chatbot_node = obj_chatbot_with_node.create_chatbot(tools) # Add nodes self.graph_builder.add_node("chatbot", chatbot_node) self.graph_builder.add_node("tools", tool_node) # Define conditional and direct edges self.graph_builder.add_edge(START,"chatbot") self.graph_builder.add_conditional_edges("chatbot", tools_condition) self.graph_builder.add_edge("tools","chatbot") def setup_graph(self, usecase: str): """ Sets up the graph for the selected use case. """ if usecase == "Basic Chatbot": self.basic_chatbot_build_graph() if usecase == "Chatbot with Tool": self.chatbot_with_tools_build_graph() return self.graph_builder.compile()