app/services/llm_utils.py

import os
from typing import List

async def generate_summary(texts: List[str]) -> str:
    """
    Simple mock summarizer for demo purposes.
    In production, replace with actual LLM API.
    """
    if not texts:
        return "No content available for summary"
    
    # For demo, just create a basic summary
    total_notes = len(texts)
    total_chars = sum(len(t) for t in texts)
    
    # Extract first few words from each note
    snippets = []
    for i, text in enumerate(texts[:3]):  # First 3 notes only
        words = text.split()[:10]  # First 10 words
        snippets.append(f"Note {i+1}: {' '.join(words)}...")
    
    return f"""
    📝 Summary of {total_notes} notes ({total_chars} characters total)
    
    Key snippets:
    {' | '.join(snippets)}
    
    ℹ️ This is a demo summary. In production, this would be generated by an AI model.
    """