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from langchain_core.messages import SystemMessage
from .prompts import introduction_prompt, details_extract_prompt
from .state import State , DetailsFormatter
from src.genai.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