How to integrate LangGraph framework with existing AI chatbot for job interview simulations

I’m building a Python app that uses AI to conduct mock interviews with job candidates. My current code works but I want to make the conversation flow more natural using LangGraph.

Here’s what I have so far:

import os
import json
from openai import OpenAI
from personality_traits import BEHAVIORAL_PATTERNS

# Store chat history in JSON format
def store_chat_log(chat_data):
    session_id = f"interview_{hash(str(chat_data))}.json"
    with open(session_id, 'w') as output_file:
        json.dump(chat_data, output_file, indent=2)
    return session_id

# Get candidate information at start
def collect_candidate_info():
    client = OpenAI()
    greeting_prompt = "Create a welcoming message to ask for the candidate's full name. Keep it professional but warm."
    ai_response = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": greeting_prompt}]
    )
    greeting_text = ai_response.choices[0].message.content
    user_name = input(f"\nInterviewer: {greeting_text}\nYou: ").strip()
    print(f"\nInterviewer: Nice to meet you, {user_name}. We'll start with some behavioral questions.\n")
    return user_name

# Handle user input with validation
def get_candidate_response(question_text):
    while True:
        answer = input(f"\nInterviewer: {question_text}\n\nYour answer: ").strip()
        if answer:
            return answer
        print("Interviewer: I didn't catch that. Could you please respond?")

# Start the interview process
candidate_name = collect_candidate_info()
# Continue with interview logic...

I’ve been trying to figure out how to add LangGraph to make the conversation smarter. Right now the questions are pretty basic but I want the AI to ask follow-up questions based on what the candidate says.

I looked at some tutorials but most of them are too complicated for what I need. Has anyone here used LangGraph with interview bots before? I’m especially confused about how to set up the conversation nodes and make them work with my existing functions.

Any simple examples or tips would be really helpful. I’m not looking for anything fancy, just want to make the interview flow feel more natural.

honestly langgraph’s probably overkill here. just use basic conditional logic - check for keywords in responses and trigger followups. someone mentions “team conflict”? ask about resolution strategies. way easier than building graph nodes and all that complexity.