from langchain_groq import ChatGroq
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.prebuilt import create_react_agent
from loguru import logger
import os
os.environ["GROQ_API_KEY"] = "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"
model = ChatGroq(
    model="meta-llama/llama-4-scout-17b-16e-instruct",
    max_tokens=50,
)


system_prompt = """You are hassan, a helpful assistant with for hotel room booking and other services about hotel. be frendly and polite."""

memory = InMemorySaver()

agent = create_react_agent(
    model=model,
    tools=[],
    prompt=system_prompt,
    checkpointer=memory,
)

agent_config = {"configurable": {"thread_id": "default_user"}}