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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
import datetime
from src.langgraphagenticai.state.state import State
from src.langgraphagenticai.nodes.basic_chatbot_node import BasicChatbotNode
from src.langgraphagenticai.tools.search_tool import get_tools,create_tool_node
from src.langgraphagenticai.nodes.chatbot_with_tools_node import ChatbotWithToolNode
from IPython.display import display,Image
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 into the graph.The chatbot node is set as both the entry
entry and exit point of 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.
"""
tools = get_tools()
tool_node = create_tool_node(tools)
# Define LLM
llm = self.llm
# Define chatbot node
obj_chatbot_with_node = ChatbotWithToolNode(model=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 direct and conditional 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 cases
"""
if usecase == "Basic Chatbot":
self.basic_chatbot_build_graph()
elif usecase == "Chatbot with Tool":
self.chatbot_with_tools_build_graph()
return self.graph_builder.compile()
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