from typing import Dict, Any

def analyze_output_safety(output_text: str) -> Dict[str, Any]:
    # Placeholder for sophisticated safety analysis
    safety_metrics = {
        "toxicity_score": 0.1,
        "is_harmful": False,
        "contains_pii": False
    }
    if "illegal act" in output_text.lower():
        safety_metrics["is_harmful"] = True
    # ... more complex analysis using dedicated models ...
    return safety_metrics

def redact_pii(output_text: str) -> str:
    # Placeholder for PII redaction logic
    return output_text.replace("[REDACTED_NAME]", "[REDACTED]")

generated_text = "The user asked about..." # LLM's output
safety_report = analyze_output_safety(generated_text)

if safety_report["is_harmful"]:
    print("Output rejected: Harmful content detected.")
    final_response = "I cannot provide information on that topic due to safety policies."
else:
    final_response = redact_pii(generated_text)
    # Further processing, e.g., formatting for display