AI & LLM integration patterns

# Demonstrate why system prompts can be bypassed by simulated user input
# This demo shows a naive filter being ignored via prompt injection

def process_user_message(message, system_rules):
    """Simulate an AI that follows system rules but gets tricked."""
    # Claim to check system rules
    for rule in system_ru…

import re

def contains_prompt_injection(user_input: str) -> bool:
    # Directives to ignore previous instructions or act as system
    ignore_patterns = [
        r"\bignore\s+(all\s+)?previous\s+instructions\b",
        r"\bdisregard\s+(all\s+)?previous\s+instructions\b",
        r"\bdon'?t\s+follow\s+(any\s+)?inst…

MODERATION_BLOCKLIST = {"spam", "scam", "fraud", "phishing", "malware", "abuse"}

def scan_text(text: str) -> dict:
    normalized = text.lower()
    words = normalized.replace(".", " ").replace(",", " ").replace("!", " ").replace("?", " ").split()
    
    found_terms = []
    for word in words:
        if word in MO…