context_analysis_agent/utils/nodes.py

from langchain_core.messages import SystemMessage
from .prompts import introduction_prompt, details_extract_prompt
from .state import State , DetailsFormatter
from utils.models_loader import llm

# This node generates chatbot responses using the LLM
def introduction_node(state, llm):
    template = introduction_prompt
    messages = [SystemMessage(content=template)] + state["messages"]
    response = llm.invoke(messages)
    return {"messages": [response]}

# This function extracts structured business details
def extract_business_details(interactions):
    template = details_extract_prompt(interactions)
    messages = [SystemMessage(content=template)]
    response=llm.with_structured_output(DetailsFormatter).invoke(messages)
    return response