from langchain.memory import ConversationSummaryBufferMemory
from chatbot.llm import gemini_llm  

memory = ConversationSummaryBufferMemory(
    llm=gemini_llm,
    memory_key="chat_history",  # this key will hold the conversation context
    max_token_limit=2000,       # adjust this limit based on your needs
    return_messages=True
)