from langchain_openai import ChatOpenAI
from dotenv import load_dotenv
from os import getenv
import os
# Initialize OpenAI model  
from langchain_groq import ChatGroq
load_dotenv()
groq_api_key = os.environ['GROQ_API_KEY']
llm = ChatGroq(groq_api_key=groq_api_key, model_name="openai/gpt-oss-20b")


from typing import TypedDict, Annotated
from langgraph.graph import StateGraph, END, add_messages
class BasicChatState(TypedDict): 
    messages: Annotated[list, add_messages]
def chatbot(state: BasicChatState): 
    return {
       "messages": [llm.invoke(state["messages"])]
    }
# Create LangGraph nodes and edges 
graph = StateGraph(BasicChatState)
graph.add_node("chatbot", chatbot)
graph.add_edge("chatbot", END)

# Set graph entry point
graph.set_entry_point("chatbot")

# Compile the graph
chat_agent = graph.compile()