Version: 1.0.2 (Beta)
Last Updated: December 30, 2025
Status: Security features implemented (beta)
This guide provides comprehensive patterns and best practices for
designing systems that seamlessly integrate blockchain (onchain) and
traditional (offchain) infrastructure using
dist_agent_lang. The language's hybrid trust
model enables developers to build applications that leverage
the strengths of both paradigms while maintaining security, performance,
and user experience.
NEW in v1.0.2: Cryptography implementation with real JWT authentication, ECDSA (secp256k1), and EdDSA (Ed25519) signatures. Security features are ready for beta testing.
@trust("hybrid")
service HybridDataService {
// Combines blockchain immutability with offchain performance
}Key Principles:
@secure
@audit
service SecureHybridService {
// Implements defense-in-depth across all layers
}Security Layers:
@async
service EventDrivenSync {
// Real-time synchronization between onchain and offchain
}Synchronization Patterns:
Problem: Need to store data both onchain (for immutability) and offchain (for performance) while maintaining consistency.
Solution:
@trust("hybrid")
@persistent
service HybridDataPipeline {
blockchain_cache: Map<String, any>,
offchain_store: Map<String, any>,
fn store_hybrid_data(user_id: String, data: any) -> Result<HybridResult, Error> {
// Step 1: Validate data integrity
let validation = self.validate_data_integrity(data);
// Step 2: Store offchain first (faster, cheaper)
let offchain_result = self.store_offchain(user_id, data);
// Step 3: Generate data hash for onchain verification
let data_hash = crypto::hash(data);
// Step 4: Store hash onchain (immutable proof)
let onchain_result = self.store_onchain(user_id, data_hash);
// Step 5: Create verification record
let verification_record = {
"user_id": user_id,
"data_hash": data_hash,
"offchain_location": offchain_result.location,
"onchain_tx_hash": onchain_result.tx_hash,
"timestamp": chain::get_block_timestamp()
};
return Ok(HybridResult {
"offchain_id": offchain_result.id,
"onchain_tx_hash": onchain_result.tx_hash,
"verification_hash": crypto::hash(verification_record)
});
}
fn retrieve_hybrid_data(user_id: String) -> Result<VerifiedData, Error> {
// Step 1: Get onchain hash (source of truth)
let onchain_hash = chain::call("ethereum", "getUserDataHash", [user_id]);
// Step 2: Retrieve offchain data
let offchain_data = self.retrieve_offchain(user_id);
// Step 3: Verify data integrity
let current_hash = crypto::hash(offchain_data);
if current_hash != onchain_hash {
// Data mismatch - trigger reconciliation
return self.reconcile_data_mismatch(user_id, onchain_hash, offchain_data);
}
return Ok(VerifiedData {
"data": offchain_data,
"verification": "verified",
"trust_level": "hybrid"
});
}
}Benefits:
Problem: Users want to manage assets across multiple blockchains while maintaining a unified view and experience.
Solution:
@trust("hybrid")
@secure
service MultiChainAssetManager {
supported_chains: List<String>,
asset_balances: Map<String, Map<String, Float>>,
fn get_total_asset_balance(user_address: String, token_symbol: String) -> Result<AssetBalance, Error> {
let total_balance = 0.0;
let chain_balances = Map::new();
// Query balance on each supported chain
for chain in self.supported_chains {
let balance = chain::get_token_balance(chain, token_symbol, user_address);
chain_balances[chain] = balance;
total_balance += balance;
}
// Get USD value using multi-chain oracles
let usd_value = self.get_asset_usd_value(token_symbol, total_balance);
return Ok(AssetBalance {
"token": token_symbol,
"total_balance": total_balance,
"usd_value": usd_value,
"chain_breakdown": chain_balances
});
}
fn optimize_asset_distribution(user_address: String, token_symbol: String) -> Result<OptimizationResult, Error> {
let current_distribution = self.analyze_current_distribution(user_address, token_symbol);
let opportunities = self.find_optimization_opportunities(current_distribution);
let rebalance_result = self.execute_rebalancing(user_address, opportunities);
return Ok(OptimizationResult {
"gas_saved": rebalance_result.gas_saved,
"time_saved": rebalance_result.time_saved,
"new_distribution": rebalance_result.new_distribution
});
}
}Benefits:
Problem: Need to process real-time data streams while maintaining blockchain-verified integrity.
Solution:
@trust("hybrid")
@ai
service RealTimeDataStreamer {
data_streams: Map<String, any>,
blockchain_verifier: any,
fn process_real_time_data() -> Result<Unit, Error> {
for stream_name, stream in self.data_streams {
let raw_data = oracle::get_stream_data(stream);
// AI-powered data analysis
let analysis = ai::analyze_data(self.ai_analyzer, raw_data);
// Blockchain verification for critical data
if stream_name == "price_feed" {
let verification = chain::verify_data_integrity(self.blockchain_verifier, raw_data);
if !verification.is_valid {
log::error("verification", {
"stream": stream_name,
"event": "data_integrity_failed"
});
continue;
}
}
// Store verified data
self.store_verified_data(stream_name, raw_data, analysis);
// Trigger real-time actions
self.trigger_real_time_actions(stream_name, analysis);
}
return Ok(());
}
}Benefits:
@secure
@audit
fn verify_hybrid_transaction(transaction: any) -> Result<VerificationResult, Error> {
// Layer 1: JWT Authentication (NEW in v1.0.2)
let auth_result = http::validate_jwt_token(transaction.auth_token);
if !auth_result.is_valid {
return Err("Authentication failed");
}
// Layer 2: ECDSA Cryptographic Verification (NEW in v1.0.2)
// Production-grade secp256k1 signatures (Ethereum-compatible)
let crypto_check = crypto::verify_ecdsa_signature(
transaction.data,
transaction.signature,
transaction.public_key
);
// Layer 3: Oracle verification
let oracle_check = oracle::verify_data_sources(transaction);
// Layer 4: Business logic validation
let business_check = self.validate_business_rules(transaction);
// Layer 5: Risk assessment with CloudAdmin
let risk_check = self.assess_transaction_risk(transaction);
// Layer 6: CloudAdmin Policy Enforcement (NEW)
let admin_result = cloudadmin::authorize(
transaction.user_context,
"write",
transaction.resource
);
// Aggregate results
let final_decision = self.aggregate_verification_results([
auth_result, crypto_check, oracle_check, business_check, risk_check, admin_result
]);
return Ok(final_decision);
}Security Features (v1.0.2):
@trust("hybrid")
service ZeroTrustSystem {
fn implement_continuous_verification() -> Result<ZeroTrustResult, Error> {
// Continuous identity verification
let identity_verification = "continuous";
// Per-request access validation
let access_validation = "per_request";
// Real-time context awareness
let context_awareness = "real_time";
// Continuous threat detection
let threat_detection = "continuous";
return Ok(ZeroTrustResult {
"identity_verification": identity_verification,
"access_validation": access_validation,
"context_awareness": context_awareness,
"threat_detection": threat_detection
});
}
}@secure
service HybridKeyManager {
fn generate_hybrid_key_pair(user_id: String) -> Result<KeyPair, Error> {
// Generate ECDSA key pair with real secp256k1 (NEW in v1.0.2)
// Uses k256 crate for Ethereum-compatible keys
let key_pair = crypto::generate_ecdsa_keypair();
// Verify keypair is valid before proceeding
let test_signature = crypto::sign_ecdsa("test_message", key_pair.private_key);
let verification = crypto::verify_ecdsa_signature(
"test_message",
test_signature,
key_pair.public_key
);
if !verification {
return Err("Keypair generation failed verification");
}
// Store private key encrypted offchain with PBKDF2 (NEW)
let encrypted_private = crypto::encrypt_key_pbkdf2(
key_pair.private_key,
user_id
);
// Store public key hash onchain with SHA256 (NEW)
let public_hash = crypto::hash_sha256(key_pair.public_key);
let onchain_tx = chain::store_key_hash(user_id, public_hash);
// Create JWT for secure API access (NEW in v1.0.2)
let jwt_token = http::generate_jwt(
user_id,
["user"],
["read", "write", "sign"]
);
// Create backup and recovery options
let backup = self.create_key_backup(user_id, key_pair);
return Ok(KeyPair {
"public_key": key_pair.public_key,
"private_key_reference": encrypted_private.id,
"onchain_hash": public_hash,
"jwt_token": jwt_token,
"backup_created": true,
"key_type": "secp256k1_ecdsa",
"ethereum_compatible": true
});
}
fn generate_solana_key_pair(user_id: String) -> Result<KeyPair, Error> {
// Generate Ed25519 key pair for Solana (NEW in v1.0.2)
// Uses ed25519-dalek crate for Solana-compatible keys
let key_pair = crypto::generate_eddsa_keypair();
// Similar process as above but for Ed25519
return Ok(KeyPair {
"public_key": key_pair.public_key,
"key_type": "ed25519_eddsa",
"solana_compatible": true
});
}
}Key Management Features (v1.0.2):
@persistent
@cached
service IntelligentCache {
l1_cache: Map<String, any>, // Fast in-memory
l2_cache: Map<String, any>, // Distributed cache
l3_cache: Map<String, any>, // Onchain cache
fn get_optimized_data(key: String) -> Result<any, Error> {
// Try L1 cache first (fastest)
let l1_data = self.l1_cache.get(key);
if l1_data != null && !self.is_expired(l1_data) {
return Ok(l1_data);
}
// Try L2 cache
let l2_data = self.l2_cache.get(key);
if l2_data != null && !self.is_expired(l2_data) {
// Update L1 cache
self.l1_cache.set(key, l2_data);
return Ok(l2_data);
}
// Fetch from source and update all caches
let fresh_data = self.fetch_from_source(key);
self.update_all_caches(key, fresh_data);
return Ok(fresh_data);
}
}@ai
service HybridLoadBalancer {
onchain_load: Float,
offchain_load: Float,
fn route_request(request: any) -> Result<RoutingDecision, Error> {
// Analyze request characteristics
let request_profile = self.analyze_request_profile(request);
// Check current system loads
let current_loads = {
"onchain": self.get_onchain_load(),
"offchain": self.get_offchain_load()
};
// Predict optimal routing using AI
let prediction = ai::predict_optimal_routing(request_profile, current_loads);
// Make routing decision
let decision = if prediction.recommended_system == "offchain" &&
current_loads.offchain < 0.8 {
"route_to_offchain"
} else if prediction.recommended_system == "onchain" &&
current_loads.onchain < 0.9 {
"route_to_onchain"
} else {
"use_hybrid_approach"
};
return Ok(RoutingDecision {
"decision": decision,
"estimated_latency": prediction.estimated_latency,
"cost_savings": prediction.cost_savings,
"confidence_score": prediction.confidence
});
}
}@ai
service PredictiveScaler {
usage_patterns: Map<String, any>,
scaling_history: List<any>,
fn predict_and_scale() -> Result<ScalingDecision, Error> {
// Analyze usage patterns
let pattern_analysis = ai::analyze_usage_patterns(self.usage_patterns);
// Predict future demand
let demand_prediction = ai::predict_demand(pattern_analysis, "1_hour_ahead");
// Calculate optimal resource allocation
let optimal_allocation = self.calculate_optimal_allocation(demand_prediction);
// Execute scaling decisions
let scaling_result = self.execute_scaling_decisions(optimal_allocation);
// Learn from results
self.update_scaling_model(scaling_result);
return Ok(ScalingDecision {
"predicted_demand": demand_prediction,
"optimal_allocation": optimal_allocation,
"scaling_executed": scaling_result.success,
"cost_impact": scaling_result.cost_impact
});
}
}@async
service EventDrivenSync {
event_queue: any,
sync_workers: List<any>,
fn setup_event_sync() -> Result<Unit, Error> {
// Setup blockchain event listeners
let blockchain_events = chain::create_event_listener({
"contract_address": "0x...",
"events": ["Transfer", "Approval", "Deposit"],
"callback": "handle_blockchain_event"
});
// Setup offchain event listeners
let offchain_events = database::create_change_listener({
"table": "user_data",
"operations": ["INSERT", "UPDATE", "DELETE"],
"callback": "handle_database_event"
});
// Start sync workers
for i in 0..5 {
let worker = spawn sync_worker(i);
self.sync_workers.push(worker);
}
return Ok(());
}
fn handle_blockchain_event(event: any) -> Result<Unit, Error> {
// Process blockchain event
let processed_event = self.process_blockchain_event(event);
// Queue for offchain sync
self.event_queue.push({
"type": "blockchain_event",
"data": processed_event,
"priority": "high"
});
return Ok(());
}
fn handle_database_event(event: any) -> Result<Unit, Error> {
// Process database event
let processed_event = self.process_database_event(event);
// Queue for onchain sync if needed
if self.requires_onchain_sync(processed_event) {
self.event_queue.push({
"type": "database_event",
"data": processed_event,
"priority": "medium"
});
}
return Ok(());
}
}@trust("hybrid")
service StateReconciler {
reconciliation_schedule: any,
fn perform_reconciliation() -> Result<ReconciliationResult, Error> {
// Get current state from both systems
let onchain_state = self.get_onchain_state();
let offchain_state = self.get_offchain_state();
// Compare states
let differences = self.compare_states(onchain_state, offchain_state);
let reconciliation_actions = [];
for difference in differences {
let action = self.determine_reconciliation_action(difference);
reconciliation_actions.push(action);
}
// Execute reconciliation
let execution_result = self.execute_reconciliation_actions(reconciliation_actions);
// Verify reconciliation success
let verification = self.verify_reconciliation_success(execution_result);
return Ok(ReconciliationResult {
"differences_found": differences.length(),
"actions_taken": reconciliation_actions.length(),
"execution_success": execution_result.success,
"verification_passed": verification.passed,
"next_reconciliation": self.schedule_next_reconciliation()
});
}
fn determine_reconciliation_action(difference: any) -> ReconciliationAction {
return match difference.type {
"missing_onchain" => {
"action": "create_onchain_record",
"priority": "high",
"rollback_possible": true
},
"missing_offchain" => {
"action": "create_offchain_record",
"priority": "medium",
"rollback_possible": true
},
"data_mismatch" => {
"action": "resolve_conflict",
"priority": "critical",
"rollback_possible": false
},
_ => {
"action": "investigate_manually",
"priority": "low",
"rollback_possible": false
}
};
}
}@ai
service HybridHealthMonitor {
health_metrics: Map<String, any>,
alert_thresholds: Map<String, Float>,
fn monitor_system_health() -> Result<HealthReport, Error> {
let metrics = {
"blockchain_connectivity": self.check_blockchain_connectivity(),
"offchain_performance": self.measure_offchain_performance(),
"sync_status": self.check_synchronization_status(),
"security_status": self.assess_security_posture(),
"user_experience": self.measure_user_experience()
};
// Calculate overall health score
let health_score = self.calculate_health_score(metrics);
// Generate health report
let report = HealthReport {
"overall_score": health_score,
"metrics": metrics,
"recommendations": self.generate_recommendations(metrics),
"alerts": self.check_alert_conditions(metrics)
};
// Trigger alerts if necessary
if report.alerts.length() > 0 {
self.trigger_health_alerts(report.alerts);
}
return Ok(report);
}
fn check_synchronization_status() -> SyncStatus {
// Check data consistency
let consistency_check = self.verify_data_consistency();
// Check sync latency
let latency_check = self.measure_sync_latency();
// Check error rates
let error_check = self.analyze_sync_errors();
return SyncStatus {
"data_consistent": consistency_check.passed,
"average_latency": latency_check.average,
"error_rate": error_check.rate,
"last_sync": latency_check.last_sync,
"overall_status": self.determine_sync_status([
consistency_check, latency_check, error_check
])
};
}
}@ai
service PerformanceAnalytics {
performance_history: List<any>,
optimization_engine: any,
fn analyze_performance_patterns() -> Result<PerformanceAnalysis, Error> {
// Collect performance data
let current_metrics = self.collect_performance_metrics();
// Analyze trends
let trend_analysis = ai::analyze_performance_trends(
self.performance_history,
current_metrics
);
// Identify bottlenecks
let bottlenecks = self.identify_performance_bottlenecks(trend_analysis);
// Generate optimization recommendations
let recommendations = ai::generate_optimization_recommendations(
bottlenecks,
self.optimization_engine
);
// Predict future performance
let predictions = ai::predict_future_performance(
trend_analysis,
recommendations
);
return Ok(PerformanceAnalysis {
"current_metrics": current_metrics,
"trend_analysis": trend_analysis,
"bottlenecks": bottlenecks,
"recommendations": recommendations,
"predictions": predictions,
"confidence_score": predictions.confidence
});
}
}@ai
@trust("hybrid")
service AIDrivenOptimizer {
optimization_model: any,
learning_data: List<any>,
fn optimize_hybrid_operations() -> Result<OptimizationResult, Error> {
// Collect operational data
let operational_data = self.collect_operational_data();
// Analyze current performance
let performance_analysis = ai::analyze_current_performance(operational_data);
// Generate optimization strategies
let strategies = ai::generate_optimization_strategies(
performance_analysis,
self.optimization_model
);
// Simulate strategy outcomes
let simulations = [];
for strategy in strategies {
let simulation = self.simulate_strategy_outcome(strategy, operational_data);
simulations.push(simulation);
}
// Select best strategy
let best_strategy = ai::select_optimal_strategy(simulations);
// Implement strategy
let implementation = self.implement_optimization_strategy(best_strategy);
// Monitor results and learn
let monitoring = self.monitor_strategy_results(implementation);
return Ok(OptimizationResult {
"selected_strategy": best_strategy,
"expected_improvement": best_strategy.expected_improvement,
"implementation_status": implementation.status,
"monitoring_active": monitoring.active
});
}
}@quantum
@trust("hybrid")
service QuantumReadySystem {
quantum_verifier: any,
classical_fallback: any,
fn implement_quantum_resistance() -> Result<QuantumReadiness, Error> {
// Implement quantum-resistant cryptography
let quantum_crypto = crypto::implement_quantum_resistant_crypto({
"primary_algorithm": "CRYSTALS-Kyber",
"fallback_algorithm": "ECDSA",
"key_size": 4096
});
// Setup quantum verification
self.quantum_verifier = chain::create_quantum_verifier({
"verification_method": "lattice_based",
"tolerance_threshold": 0.99,
"fallback_enabled": true
});
// Implement classical fallback
self.classical_fallback = self.setup_classical_fallback();
// Test hybrid quantum/classical operation
let test_result = self.test_quantum_classical_hybrid();
return Ok(QuantumReadiness {
"quantum_crypto_implemented": quantum_crypto.success,
"quantum_verifier_active": true,
"classical_fallback_ready": true,
"hybrid_test_passed": test_result.passed,
"readiness_score": self.calculate_readiness_score([
quantum_crypto, test_result
])
});
}
}@trust("hybrid")
@secure
service MyHybridService {
// State
onchain_data: Map<String, any>,
offchain_cache: Map<String, any>,
fn initialize() -> Result<Unit, Error> {
// Setup connections
self.setup_connections();
// Initialize caches
self.initialize_caches();
// Setup monitoring
self.setup_monitoring();
return Ok(());
}
fn store_data(key: String, data: any) -> Result<StorageResult, Error> {
// Store offchain first
let offchain_result = self.store_offchain(key, data);
// Generate hash and store onchain
let data_hash = crypto::hash(data);
let onchain_result = chain::store_data_hash(key, data_hash);
return Ok(StorageResult {
"offchain_id": offchain_result.id,
"onchain_tx": onchain_result.tx_hash,
"data_hash": data_hash
});
}
fn retrieve_data(key: String) -> Result<RetrievedData, Error> {
// Get onchain hash
let onchain_hash = chain::get_data_hash(key);
// Get offchain data
let offchain_data = self.retrieve_offchain(key);
// Verify integrity
let current_hash = crypto::hash(offchain_data);
let verified = current_hash == onchain_hash;
return Ok(RetrievedData {
"data": offchain_data,
"verified": verified,
"onchain_hash": onchain_hash
});
}
}@trust("hybrid")
@ai
@secure
service AdvancedHybridService {
// Advanced features
ai_optimizer: any,
predictive_scaler: any,
security_monitor: any,
fn intelligent_operation(params: any) -> Result<OperationResult, Error> {
// AI-powered decision making
let decision = ai::make_decision(self.ai_optimizer, params);
// Execute operation
let result = self.execute_operation(decision);
// Monitor and learn
ai::learn_from_result(self.ai_optimizer, params, result);
return Ok(result);
}
fn predictive_maintenance() -> Result<MaintenanceAction, Error> {
// Predict system issues
let prediction = ai::predict_system_issues(self.predictive_scaler);
// Take preventive action
let action = self.take_preventive_action(prediction);
return Ok(action);
}
fn adaptive_security() -> Result<SecurityAdaptation, Error> {
// Monitor threat landscape
let threats = self.monitor_threats();
// Adapt security measures
let adaptation = self.adapt_security_measures(threats);
return Ok(adaptation);
}
}@trust("hybrid") for
services spanning onchain/offchainThis guide is continuously updated as new patterns and best practices emerge. Contributions and feedback are welcome! 🚀