Customer query using AI Waterfall

customer_query_ai_waterfall.py

def process_customer_query(query):
    # Level 1: Check for FAQ matches
    faq_match = check_faq_database(query)
    if faq_match:
        return faq_match
    
    # Level 2: Intent classification with lightweight ML
    intent, confidence = classify_intent_ml(query)
    if confidence > 0.8:
        return handle_known_intent(intent, query)
    
    # Level 3: Few-shot with smaller model
    if len(query.split()) < 20:  # Simple queries
        return handle_with_gpt35(query)
    
    # Level 4: Full LLM reasoning for complex cases
    return handle_with_gpt4(query)