from langgraph.graph import StateGraph, START, END, MessagesState from langgraph.prebuilt import tools_condition, tool_node 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_tools 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 exi 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 with tool integration. This method creates a chatbot graph that includes both a chatbot node and 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 an entry point. """ ## Define the tool and tool node tools = get_tools() tool_node = create_tool_node(tools) ## Define LLM llm = self.llm # Define the 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 Tools": self.chatbot_with_tools_build_graph() return self.graph_builder.compile()