---
title: "Architecture"
description: "Documentation for Architecture"
---
[AIR-3][AIS-3][BPC-3][RES-3]
# Anya Core Architecture
## Table of Contents
- [Section 1](#section-1)
- [Section 2](#section-2)
## Overview
Anya Core is built on a hexagonal architecture (ports and adapters) pattern, emphasizing clean separation of concerns, domain-driven design, and modularity. The system is designed with security, privacy, and decentralization as core tenets.
## Core Components
### 1. Domain Layer (Core)
- Business logic and rules
- Domain entities and value objects
- Use cases and domain services
- Domain events and handlers
- Error types and handling
### 2. Application Layer (Ports)
#### Input Ports (Primary/Driving)
- Command handlers
- Query handlers
- Event handlers
- API interfaces
- RPC interfaces
#### Output Ports (Secondary/Driven)
- Repository interfaces
- External service interfaces
- Messaging interfaces
- Cache interfaces
- Storage interfaces
### 3. Infrastructure Layer (Adapters)
#### Input Adapters
- REST API controllers
- gRPC handlers
- CLI commands
- WebSocket handlers
- Message consumers
#### Output Adapters
- Database repositories
- External service clients
- Message publishers
- Cache implementations
- File system adapters
## System Architecture
### Visual System Map
```mermaid
flowchart TD
A[User/Contributor]
subgraph Docs[Documentation]
D1[INDEX_CORRECTED.md]
D2[docs/INDEX.md]
D4[docs/ML_SYSTEM_ARCHITECTURE.md]
D5[docs/SECURITY_ARCHITECTURE.md]
D6[docs/PERFORMANCE_ARCHITECTURE.md]
end
subgraph Core[Core System]
C1[core/ - Consensus, Mempool, Network]
C2[bitcoin/ - Primitives, Wallet, Taproot]
C3[layer2/ - RGB, DLC, RSK, Lightning, BitVM]
C4[dao/ - Governance, Voting, Tokenomics]
C5[infrastructure/ - Dev Rewards, Monitoring, HA]
C6[ml/ - Agents, Federated Learning]
C7[security/ - HSM, Crypto, Hardening]
C8[extensions/ - Alignment, Audit, Protocol]
end
subgraph Contracts[Smart Contracts]
S1[contracts/dao/vesting.clar]
S2[contracts/dao/treasury-management.clar]
S3[contracts/dao/license-manager.clar]
end
subgraph Tests[Testing]
T1[tests/ - Unit & Integration]
T2[tests/integration/]
T3[tests/modules/]
end
A-->|Reads|Docs
Docs-->|Guides|Core
Core-->|Implements|Contracts
Core-->|Tested by|Tests
A-->|Runs|Core
A-->|Proposes|dao/
dao/-->|Rewards|infrastructure/dev_rewards/
ml/-->|AI/ML|Core
security/-->|Secures|Core
```
### 1. Web5 Integration
- Decentralized identity (DID) management
- Web5 protocol implementation
- Schema validation
- Decentralized data storage
- Event-driven architecture
- Caching and batch operations
### 2. Bitcoin Integration
- Core Bitcoin functionality with RPC client
- Transaction validation and processing
- Network management and monitoring
- Advanced script validation
- Lightning Network integration
- Multi-signature support
### 3. Error Handling System
```rust
// Comprehensive error handling with context
pub struct ErrorContext {
error: HexagonalError,
severity: ErrorSeverity,
trace_id: Option<String>,
retry_count: u32,
metrics: ErrorMetrics
}
// Circuit breaker pattern
pub struct CircuitBreaker {
state: CircuitState,
failure_threshold: u32,
reset_timeout: Duration
}
```
### 4. Event System
```rust
// Event types and metadata
pub struct Event {
id: String,
event_type: EventType,
timestamp: DateTime<Utc>,
data: Value,
metadata: EventMetadata
}
// Event bus with pub/sub pattern
pub struct EventBus {
tx: broadcast::Sender<Event>
}
// Event filtering and routing
pub struct EventSubscriber {
rx: Receiver<Event>,
filters: Vec<Box<dyn Fn(&Event) -> bool>>
}
```
### 5. Health Monitoring
- Component-level health tracking
- System metrics collection
- Real-time health status
- Performance monitoring
- Resource utilization tracking
- Event-driven health updates
### 6. Caching System
```rust
// LRU cache with TTL support
pub struct Web5Cache {
cache: Arc<RwLock<LruCache>>,
config: CacheConfig
}
// Cache operations and events
pub trait Cache {
async fn get<T>(&self, key: &str) -> Result<Option<T>>;
async fn set<T>(&self, key: &str, value: T) -> Result<()>;
async fn delete(&self, key: &str) -> bool;
}
```
### 7. Batch Operations
```rust
// Batch processing with rate limiting
pub struct BatchProcessor<S: DataStore> {
store: S,
options: BatchOptions
}
// Batch operation types
pub enum BatchOperationType {
Create,
Update,
Delete
}
```
### 8. Metrics & Monitoring
- Real-time performance metrics
- Custom business metrics
- Error and failure metrics
- Resource utilization tracking
- Health check system
- Circuit breaker monitoring
### 9. Security Layer
- Multi-factor authentication
- Role-based access control
- Audit logging
- Encryption at rest
- Secure communication
- HSM integration
### 10. Machine Learning System
- Federated learning
- Model optimization
- Privacy-preserving ML
- Anomaly detection
- Predictive analytics
- Risk assessment
### 7. Layer 2 Integrations
Anya Core includes comprehensive support for Bitcoin Layer 2 solutions, with a primary focus on BOB (Bitcoin Optimistic Blockchain) hybrid L2.
#### BOB Hybrid L2 Architecture
BOB integration follows our hexagonal architecture pattern with clearly defined ports and adapters:
**Domain Layer (Core)**
- L2 transaction models and validation rules
- BitVM verification logic
- Cross-layer state management
- Smart contract execution environment
**Application Layer (Ports)**
- Input Ports:
- L2 transaction submission
- Smart contract execution
- Relay monitoring
- Fraud proof submission
- Output Ports:
- Bitcoin relay interaction
- Smart contract state access
- L2 state querying
- Cross-layer synchronization
**Infrastructure Layer (Adapters)**
- Input Adapters:
- BOB RPC client
- EVM contract caller
- Relay monitoring service
- BitVM verification adapter
- Output Adapters:
- Bitcoin relay client
- L2 state repository
- Smart contract state repository
- Cross-layer transaction processor
**Integration Architecture:**
```
┌───────────────────────────────────────────────────────────────────┐
│ Anya Core System │
│ │
│ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │
│ │ │ │ │ │ │ │
│ │ Bitcoin │ │ BOB Layer 2 │ │ EVM Contract │ │
│ │ Integration │◄──►│ Integration │◄──►│ Integration │ │
│ │ │ │ │ │ │ │
│ └───────┬───────┘ └───────┬───────┘ └───────┬───────┘ │
│ │ │ │ │
│ ┌───────▼───────────────────▼────────────────────▼───────┐ │
│ │ │ │
│ │ Hexagonal Architecture │ │
│ │ Core Domain Services │ │
│ │ │ │
│ └─────────────────────────────┬───────────────────────────┘ │
│ │ │
│ ┌─────────▼──────────┐ │
│ │ │ │
│ │ Security, ML, │ │
│ │ Performance │ │
│ │ │ │
│ └────────────────────┘ │
│ │
└───────────────────────────────────────────────────────────────────┘
```
#### BOB Integration Components
1. **Bitcoin Relay Monitor**
- Tracks the status of the BOB Bitcoin relay
- Validates relay state against Bitcoin L1
- Monitors relay performance metrics
- Alerts on relay inconsistencies
2. **EVM Compatibility Layer**
- Provides EVM execution environment
- Supports Solidity smart contracts
- Maps Bitcoin addresses to EVM addresses
- Handles gas and fee management
3. **BitVM Integration**
- Implements BitVM verification logic
- Processes optimistic rollup state transitions
- Handles fraud proof verification
- Manages dispute resolution
4. **Cross-Layer Transaction Manager**
- Coordinates transactions spanning Bitcoin L1 and BOB L2
- Ensures atomic transaction execution
- Manages cross-layer state consistency
- Optimizes cross-layer transaction fees
5. **Hybrid Analytics Engine**
- Collects metrics from both L1 and L2
- Analyzes cross-layer transaction patterns
- Provides insights on system performance
- Identifies optimization opportunities
#### Layer 2 Protocol Integrations
Anya Core provides comprehensive Layer2 support through a unified architecture:
1. **Lightning Network**
- Payment channel management
- Multi-hop routing
- Invoice generation and processing
- Channel monitoring and safety
2. **State Channels**
- Generic state transition support
- Off-chain execution environment
- On-chain settlement and dispute resolution
- State channel monitoring
3. **RGB Assets**
- Client-side validation protocol
- Asset issuance and transfers
- Privacy-preserving transactions
- Bitcoin UTXO-based implementation
4. **Discrete Log Contracts (DLC)**
- Oracle-based smart contracts
- Non-interactive setup
- Privacy-preserving outcomes
- Bitcoin-native implementation
5. **BOB (Build on Bitcoin)**
- EVM-compatible smart contracts
- Bitcoin security model
- Cross-chain bridging
- Hybrid transaction support
6. **Liquid Network**
- Confidential transactions
- Asset issuance platform
- Federation consensus
- Two-way peg with Bitcoin
7. **RSK (Rootstock)**
- Smart contracts secured by Bitcoin mining
- EVM compatibility
- Merged mining support
- DeFi ecosystem
8. **Stacks**
- Clarity smart contracts
- Proof of Transfer (PoX)
- Bitcoin finality
- STX stacking rewards
9. **Taproot Assets**
- Bitcoin-native asset protocol
- Taproot optimization
- Lightning Network compatible
- Scalable asset transfers
**Unified Interface**: All protocols implement the common `Layer2Protocol` trait for consistent integration and management.
### 8. Consensus Mechanisms
```rust
// Comprehensive error handling with context
pub struct ErrorContext {
error: HexagonalError,
severity: ErrorSeverity,
trace_id: Option<String>,
retry_count: u32,
metrics: ErrorMetrics
}
// Circuit breaker pattern
pub struct CircuitBreaker {
state: CircuitState,
failure_threshold: u32,
reset_timeout: Duration
}
```
## Component Interaction
### 1. Request Flow
```mermaid
graph LR
A[Client] --> B[Input Port]
B --> C[Domain Service]
C --> D[Output Port]
D --> E[External System]
```
### 2. Web5 Data Flow
```mermaid
graph LR
A[Client] --> B[Web5Store]
B --> C[Cache Layer]
C --> D[DWN Storage]
B --> E[Event Bus]
E --> F[Subscribers]
```
### 3. Error Handling Flow
```mermaid
graph TD
A[Error Occurs] --> B[Error Context]
B --> C[Circuit Breaker]
C --> D[Retry Logic]
D --> E[Metrics Collection]
E --> F[Logging]
```
### 4. Health Monitoring Flow
```mermaid
graph TD
A[Health Check] --> B[Component Status]
B --> C[System Metrics]
C --> D[Event Publication]
D --> E[Health Updates]
E --> F[Status Report]
```
## Implementation Details
### 1. Domain Layer
```rust
// Core domain types
pub trait DomainService {
async fn execute(&self, command: Command) -> DomainResult;
}
// Domain events
pub trait DomainEvent {
fn event_type(&self) -> &str;
fn occurred_at(&self) -> DateTime<Utc>;
}
```
### 2. Application Layer
```rust
// Input ports
#[async_trait]
pub trait CommandHandler<T> {
async fn handle(&self, command: T) -> ApplicationResult<()>;
}
// Output ports
#[async_trait]
pub trait Repository<T> {
async fn save(&self, entity: T) -> RepositoryResult<()>;
async fn find_by_id(&self, id: &str) -> RepositoryResult<Option<T>>;
}
```
### 3. Infrastructure Layer
```rust
// Input adapter
pub struct RestController {
command_handler: Arc<dyn CommandHandler>,
metrics: MetricsCollector
}
// Output adapter
pub struct PostgresRepository {
pool: PgPool,
circuit_breaker: CircuitBreaker
}
```
### 4. Web5 Layer
```rust
// Web5 store with caching and events
pub struct Web5Store {
cache: Web5Cache,
batch_processor: BatchProcessor,
event_publisher: EventPublisher,
health_monitor: HealthMonitor
}
// Health monitoring
pub struct HealthStatus {
status: SystemStatus,
components: HashMap<String, ComponentHealth>,
metrics: SystemMetrics
}
```
## Error Handling Strategy
### 1. Error Classification
- Domain Errors
- Application Errors
- Infrastructure Errors
- Integration Errors
- Security Errors
### 2. Error Recovery
- Retry Mechanisms
- Circuit Breaker
- Fallback Strategies
- Compensation Actions
### 3. Error Monitoring
- Error Metrics
- Error Patterns
- Recovery Success Rate
- System Health Impact
## Monitoring and Metrics
### 1. System Health
- Component health status
- Service availability
- Performance metrics
- Resource utilization
- Error rates and patterns
### 2. Operational Metrics
- Cache hit rates
- Batch operation throughput
- Event processing latency
- Storage operation times
- DID resolution performance
### 3. Core Metrics
- Transaction throughput
- Error rates and types
- Response times
- Resource utilization
- Cache hit rates
### 4. Business Metrics
- Transaction volumes
- User activity
- Feature usage
- Success rates
- Business KPIs
### 5. ML Metrics
- Model accuracy
- Training performance
- Prediction latency
- Feature importance
- Drift detection
## Security Considerations
### 1. Authentication
- Multi-factor authentication
- Token management
- Session handling
- Identity verification
### 2. Authorization
- Role-based access control
- Permission management
- Policy enforcement
- Access auditing
### 3. Data Protection
- Encryption at rest
- Secure communication
- Key management
- Data anonymization
## Development Guidelines
### 1. Code Organization
- Domain-driven structure
- Clean architecture principles
- SOLID principles
- Dependency injection
### 2. Testing Strategy
- Unit tests
- Integration tests
- Property-based tests
- Performance tests
- Security tests
### 3. Documentation
- API documentation
- Architecture diagrams
- Component interaction
- Error handling
- Security guidelines
## ML Agent System
### Auto-Adjustment System (`src/ml/auto_adjust.rs`)
The auto-adjustment system provides dynamic resource management and system optimization:
```rust
AutoAdjustSystem {
config: AutoAdjustConfig, // System-wide configuration
metrics: MetricsCollector, // Performance metrics
agent_coordinator: AgentCoordinator, // Agent management
health_status: HealthStatus // System health tracking
}
```
Key features:
- Dynamic resource scaling
- Health-based adjustments
- Emergency handling
- Performance optimization
- Configuration management
### Agent Coordinator (`src/ml/agents/coordinator.rs`)
Manages agent interactions and resource allocation:
```rust
AgentCoordinator {
agents: Vec<MLAgent>, // Managed agents
max_concurrent_actions: usize, // Concurrency control
observation_interval: Duration, // Monitoring frequency
metrics: MetricsCollector // Performance tracking
}
```
Capabilities:
- Resource management
- Dynamic scaling
- Performance monitoring
- Health tracking
- Emergency procedures
### ML Agent Interface (`src/ml/agents/mod.rs`)
Defines the core agent capabilities:
```rust
trait MLAgent {
// Core operations
async fn act(&mut self) -> Result<()>;
async fn observe(&self) -> Result<Vec<Observation>>;
// Resource management
async fn optimize_resources(&mut self) -> Result<()>;
async fn clear_cache(&mut self) -> Result<()>;
// Health and metrics
async fn get_health_metrics(&self) -> Result<AgentHealthMetrics>;
async fn get_resource_usage(&self) -> Result<AgentResourceUsage>;
}
```
## Web5 Integration
### Web5Store (`src/storage/web5_store.rs`)
Provides decentralized data storage with:
- DID-based authentication
- Schema validation
- Event notifications
- Cache management
- Batch operations
### Batch Processing (`src/web5/batch.rs`)
Handles bulk operations with:
- Rate limiting
- Concurrent processing
- Error handling
- Transaction management
### Caching System (`src/web5/cache.rs`)
Optimizes data access through:
- LRU caching
- TTL support
- Event notifications
- Thread-safe access
## System Interactions
### Auto-Adjustment Flow
1. **Monitoring**
```
[System Metrics] -> [Health Monitor] -> [Auto-Adjust System]
-> [Metrics Collection]
```
2. **Resource Management**
```
[Auto-Adjust System] -> [Resource Scaling]
-> [Configuration Updates]
-> [Emergency Procedures]
```
3. **Agent Coordination**
```
[Agent Coordinator] -> [Resource Allocation]
-> [Concurrency Control]
-> [Health Monitoring]
```
### Health Management
The system maintains health through multiple layers:
1. **Component Level**
- Individual agent health tracking
- Resource usage monitoring
- Performance metrics
2. **System Level**
- Overall system health status
- Resource availability
- Performance indicators
3. **Recovery Procedures**
- Automatic scaling
- Resource reallocation
- Emergency protocols
## Performance Optimization
### Resource Management
1. **Memory Optimization**
- Dynamic cache sizing
- Batch size adjustment
- Resource pooling
2. **CPU Utilization**
- Concurrent operation control
- Task scheduling
- Load balancing
3. **Network Efficiency**
- Request batching
- Connection pooling
- Rate limiting
### Metrics and Monitoring
1. **Performance Metrics**
- Response times
- Throughput
- Error rates
- Resource usage
2. **Health Indicators**
- Component status
- System stability
- Resource availability
3. **Adaptation Metrics**
- Scaling effectiveness
- Recovery success rates
- Optimization impact
## Security Architecture
### Authentication and Authorization
1. **DID-based Authentication**
- Decentralized identity management
- Key management
- Access control
2. **Authorization**
- Role-based access
- Permission management
- Resource restrictions
### Data Protection
1. **Encryption**
- Data at rest
- Data in transit
- Key management
2. **Validation**
- Schema validation
- Input sanitization
- Output encoding
## Error Handling
### Error Management
1. **Error Types**
- System errors
- Resource errors
- Network errors
- Application errors
2. **Recovery Procedures**
- Automatic retry
- Fallback mechanisms
- Circuit breaking
3. **Logging and Monitoring**
- Error tracking
- Performance impact
- Recovery metrics
## Development Guidelines
### Best Practices
1. **Code Organization**
- Modular design
- Clear separation of concerns
- Consistent error handling
2. **Testing**
- Unit tests
- Integration tests
- Performance tests
3. **Documentation**
- Code documentation
- API documentation
- Architecture documentation
### Performance Considerations
1. **Resource Usage**
- Memory management
- CPU utilization
- Network efficiency
2. **Optimization**
- Caching strategies
- Batch processing
- Concurrent operations
3. **Monitoring**
- Performance metrics
- Resource tracking
- Health monitoring
## Anya - Web5 Decentralized ML Agent Architecture
## System Overview
Anya is a decentralized ML agent system built on Web5 technology, featuring:
- Adaptive ML agents for various domains
- Decentralized data storage and processing
- Comprehensive business and market analysis
- Auto-tuning capabilities
- Resource optimization
## Core Components
### 1. ML Agent System
#### Market Agent
- Real-time market analysis
- Dynamic pricing strategy
- Trend detection
- Risk assessment
- Auto-tuning parameters
#### Business Agent
- Revenue optimization
- Cost management
- Profit margin analysis
- Growth projection
- Strategy adaptation
#### Agent Coordinator
- Agent lifecycle management
- Resource allocation
- Performance monitoring
- State synchronization
- Cross-agent optimization
### 2. Auto-Adjustment System
- Resource usage optimization
- Performance monitoring
- Health checks
- Dynamic scaling
- Emergency procedures
### 3. Business Logic
- Revenue distribution (40% DAO, 30% Developer Pool, 30% Operations)
- Tiered service pricing
- Usage-based billing
- Volume discounts
- Performance incentives
### 4. DAO Integration
- Proposal management
- Treasury control
- Voting system
- Emergency procedures
- Revenue distribution
## Technical Architecture
### 1. Core Technologies
- Rust async/await
- Tokio runtime
- Web5 DID system
- Decentralized storage
- ML frameworks
### 2. Data Flow
```
[Market Data] → Market Agent → Agent Coordinator
↓
[Business Data] → Business Agent → Strategy Optimization
↓
[System Metrics] → Auto-Adjust → Resource Management
```
### 3. Security Features
- DID-based authentication
- Encrypted communication
- Secure state management
- Access control
- Audit logging
### 4. Performance Optimization
- Adaptive batch sizing
- Dynamic concurrency
- Resource pooling
- Cache optimization
- Load balancing
## Implementation Details
### 1. Agent Implementation
- Trait-based design
- Async operations
- State management
- Error handling
- Metrics collection
### 2. Business Logic
- Revenue tracking
- Cost analysis
- Profit optimization
- Growth strategies
- Risk management
### 3. System Management
- Health monitoring
- Resource tracking
- Performance tuning
- Error recovery
- State synchronization
## Future Enhancements
1. Advanced ML Models
- Deep learning integration
- Reinforcement learning
- Transfer learning
- Federated learning
2. Enhanced Analytics
- Predictive analytics
- Risk assessment
- Pattern detection
- Anomaly detection
3. System Improvements
- Scalability enhancements
- Performance optimization
- Security hardening
- Integration expansion
*Last updated: 2025-06-02*
# Mobile SDK Architecture v2.5
## Core Components
- **BIP-341/342**: Taproot commitment verification
- **BIP-174**: PSBT v2 transaction handling
- **BIP-370**: Fee rate validation
- **HSM Integration**: Hardware Security Module support (Validated)
```rust:src/security/hsm/mod.rs
// ... existing code ...
#[cfg(test)]
mod tests {
use super::*;
use crate::crypto::mock_hsm::MockHsmProvider;
#[tokio::test]
async fn test_hsm_connection() {
let mut hsm = HsmBridge::default();
let config = HsmConfig {
provider_type: "mock".into(),
connection_string: "test://hsm".into(),
};
hsm.connect(config).await.unwrap();
assert!(hsm.connected);
}
#[test]
fn test_gpu_resistant_derivation() {
let sm = SecurityManager::new();
let key = sm.gpu_resistant_derive("test mnemonic").unwrap();
assert_eq!(key.depth, 0);
}
}
```
```typescript:mobile/src/BitcoinSDK.tsx
/**
* Bitcoin Mobile SDK React Native Interface
*
* Implements BIP-341/342/174/370 compliant operations
*
* @example
* ```typescript
* const sdk = NativeModules.BitcoinSDK;
* await sdk.createWallet(mnemonic);
* const txid = await sdk.sendTransaction(address, amount);
* ```
*/
interface MobileSDK {
createWallet(mnemonic: string): Promise<void>;
sendTransaction(recipient: string, amount: number): Promise<string>;
// ... other methods ...
}
```
## See Also
- [Agent Architecture](AGENT_ARCHITECTURE.md)
- [System Map](SYSTEM_MAP.md)
- [Master Implementation Plan](MASTER_IMPLEMENTATION_PLAN_CANONICAL.md)
- [Git Workflow](GIT_WORKFLOW.md)
- [Security Architecture](SECURITY_ARCHITECTURE.md)
- [Performance Architecture](PERFORMANCE_ARCHITECTURE.md)
- [Hexagonal Architecture](HEXAGONAL.md)