# Declarative: Tell the system WHAT you want
WHEN customer.tier == "enterprise" AND risk_score > 0.8 THEN {
    provider: "anthropic",
    model: "claude-sonnet-4",
    explainability: "required",
    compliance_mode: "strict"
}

INTENT fraud_detection {
    triggers: ["transaction_analysis"],
    context: [transactions, customer_profiles, fraud_patterns],
    
    conditions: {
        # Ensemble for high-risk
        WHEN amount > 10000 AND location != customer.home THEN
            provider: "ensemble"
            models: ["claude-sonnet-4", "gpt-4-turbo"]
            consensus_required: true
        
        # Fast path for normal transactions
        DEFAULT
            provider: "anthropic"
            model: "claude-haiku"
    }
}

INTENT adaptive_routing {
    triggers: ["ai_request"],
    context: [provider_metrics, cost_tracking, audit_status],

    conditions: {
        # Fallback when provider is slow
        WHEN provider_latency > 2000ms THEN {
            action: "fallback",
            target_model: "faster_model",
            reason: "latency_threshold_exceeded"
        }

        # Cost optimization
        WHEN cost_per_request > 0.05 THEN {
            optimization_mode: "cost_over_speed",
            budget_alert: true
        }

        # Audit mode activation
        WHEN compliance_audit_active == true THEN {
            logging: "comprehensive",
            explainability: "mandatory",
            retention: "extended"
        }
    }
}

# Base pattern for high-risk assessments
INTENT high_risk_assessment {
    triggers: ["risk_evaluation"],
    context: [risk_score, assessment_type],

    conditions: {
        WHEN risk_score > 0.7 THEN {
            provider: "anthropic",
            model: "claude-sonnet-4",
            explainability: "detailed",
            audit_level: "comprehensive"
        }
    }
}

# Compose for specific domains
INTENT credit_risk_assessment {
    triggers: ["credit_decision"],
    context: [credit_score, loan_amount, applicant_history],

    conditions: {
        # High-stakes decisions use premium models
        WHEN credit_score < 650 AND loan_amount > 100000 THEN {
            provider: "openai",
            model: "gpt-4-turbo",
            explainability: "required",
            compliance_framework: "fair_lending"
        }

        # Standard decisions use efficient models
        DEFAULT {
            provider: "anthropic",
            model: "claude-haiku"
        }
    }
}

INTENT customer_service {
    context: [customer_profile, ticket_history, product_usage],
    
    conditions: {
        # VIP customers → premium model
        WHEN customer.lifetime_value > 100000 THEN
            provider: "anthropic"
            model: "claude-opus"
            sla: "1_minute"
        
        # Technical issues → specialized model
        WHEN ticket.category == "technical" THEN
            provider: "openai"
            model: "gpt-4-turbo"
            knowledge_base: "technical_docs"
        
        DEFAULT
            provider: "anthropic"
            model: "claude-haiku"
    }
}

MONITOR ai_operations {
    metrics: [
        "response_time",
        "accuracy_score",
        "cost_per_request",
        "compliance_violations"
    ],
    
    alerts: {
        accuracy_score < 0.95: escalate("ai_team"),
        compliance_violations > 0: escalate("legal_team")
    },
    
    audit_trail: {
        every_request: true,
        retention: "7_years",
        immutable: "blockchain_anchored"
    }
}

# V1: Basic routing
INTENT analyze_contract {
    DEFAULT
        provider: "anthropic"
        model: "claude-haiku"
}

# V2: Add risk-based routing
INTENT analyze_contract {
    WHEN contract_value > 1000000 THEN
        provider: "anthropic"
        model: "claude-sonnet-4"
    DEFAULT
        provider: "anthropic"
        model: "claude-haiku"
}

# V3: Add ensemble for critical decisions
INTENT analyze_contract {
    WHEN contract_value > 1000000 THEN
        provider: "ensemble"
        models: ["claude-sonnet-4", "gpt-4-turbo"]
        consensus_required: true
    DEFAULT
        provider: "anthropic"
        model: "claude-haiku"
}

# Detect manipulation techniques in AI systems
INTENT detect_prohibited_practices {
    triggers: ["ai_system_execution"],
    context: [ai_output, user_profile],
    
    conditions: {
        # Article 6(1)(a) - Subliminal manipulation
        WHEN manipulation_score > 0.7 THEN {
            prohibited_practice_type: "subliminal_manipulation",
            article_reference: "6_1_a",
            risk_level: "critical",
            compliance_action: "block_immediately"
        }
        
        # Article 6(1)(b) - Exploitation of vulnerabilities
        WHEN user.age < 18 AND psychological_pressure_detected == true THEN {
            prohibited_practice_type: "child_exploitation",
            article_reference: "6_1_b",
            risk_level: "critical",
            compliance_action: "block_and_report"
        }
    }
}

WHEN customer.country IN sanctions_list THEN
    deny: "Sanctioned jurisdiction" WITH {
        regulation: "OFAC",
        severity: "blocking"
    }

context: [customer_data, transaction_history, watchlist_screening]

requires: [gdpr_consent_check, hipaa_authorization, sox_audit_trail]

WHEN risk_detected THEN {
    risk_type: "high_value_transfer",
    risk_score: 0.85,
    mitigation_required: true
}