Quickstart

def evaluate_risk(result):
    """More sophisticated decision logic"""
    score = result['overall_score']
    scores = result.get('scores', {})
    
    # Block if any critical factors are too high
    if scores.get('data_sensitivity', 0) > 0.8:
        return False, "Sensitive data detected"
    
    if scores.get('blast_radius', 0) > 0.75:
        return False, "Impact too widespread"
    
    # Allow minimal risk
    if score < 0.2:
        return True, "Minimal risk approved"
    
    # Low risk - check for mitigating factors
    if score < 0.4:
        if scores.get('input_clarity', 1.0) < 0.4:
            return True, "Clear instructions, low risk"
        return False, "Requires clarification"
    
    # Medium/high risk requires review
    if score < 0.6:
        return False, "Medium risk - review recommended"
    
    return False, "High/critical risk - manual review required"

result = assess_risk_with_context(prompt, context)
approved, reason = evaluate_risk(result)

def should_deploy(risk_score, environment):
    """Environment-specific thresholds"""
    thresholds = {
        'development': 0.75,   # More permissive
        'staging': 0.5,        # Moderate
        'production': 0.25     # Strict
    }
    
    threshold = thresholds.get(environment, 0.25)
    
    if risk_score <= threshold:
        return True, f"Approved for {environment}"
    else:
        return False, f"Risk score {risk_score:.2f} exceeds {environment} threshold {threshold}"

result = assess_risk(prompt)
approved, reason = should_deploy(result['overall_score'], 'production')