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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()
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