summarize.py

import os
from langchain.chains.summarize import load_summarize_chain
from utils import openai_llm
from dotenv import load_dotenv

from langfuse.callback import CallbackHandler
load_dotenv()

os.environ["LANGFUSE_PUBLIC_KEY"] = os.getenv("LANGFUSE_PUBLIC_KEY")
os.environ["LANGFUSE_SECRET_KEY"] = os.getenv("LANGFUSE_SECRET_KEY")
os.environ["LANGFUSE_HOST"] = os.getenv("LANGFUSE_HOST") 


 
langfuse_handler = CallbackHandler()




def setup_summary_chain(api_key):
    """Set up a summary chain with a specified LLM."""
    llm = openai_llm(api_key=api_key)
    return load_summarize_chain(llm=llm, chain_type='map_reduce')


def summarize_documents(documents, api_key):
    """Generate summaries for provided documents."""
    summary_chain = setup_summary_chain(api_key)
    return summary_chain.run(documents, callbacks=[langfuse_handler])