Components
This document provides a detailed overview of Equilink's core components and their interactions.

1. Agent Core (equilink.core)
The central orchestration system that manages all component interactions and decision-making processes.
Key Modules
equilink/core/
├── agent.py # Main agent implementation
├── orchestrator.py # Component coordination
├── state.py # System state management
└── config.py # Configuration management
Features
Autonomous decision making
System state management
Component lifecycle management
Configuration handling
Error recovery and resilience
2. AI Engine (equilink.ai)
Manages AI model interactions and cognitive processes.
Architecture
equilink/ai/
├── models/
│ ├── claude.py # Claude model integration
│ ├── groq.py # Groq model integration
│ └── factory.py # Model initialization
├── prompts/
│ ├── templates.py # Prompt management
│ └── builder.py # Dynamic prompt construction
└── cognitive/
├── memory.py # Memory management
└── reasoning.py # Decision logic
Features
Multi-model orchestration
Dynamic prompt management
Context awareness
Memory systems
Learning capabilities
3. Blockchain Integration (equilink.blockchain)
Handles all blockchain interactions and transaction management.
Components
equilink/blockchain/
├── networks/
│ ├── ethereum.py # Ethereum integration
│ ├── solana.py # Solana integration
│ └── zksync.py # zkSync integration
├── transactions/
│ ├── manager.py # Transaction handling
│ └── builder.py # Transaction construction
└── contracts/
├── interfaces/ # Contract ABIs
└── deployer.py # Contract deployment
Features
Multi-chain support
Transaction management
Smart contract interaction
Gas optimization
Wallet management
4. DeFi Integration (equilink.defi)
Manages interactions with DeFi protocols and strategies.
Structure
equilink/defi/
├── protocols/
│ ├── uniswap.py # Uniswap integration
│ ├── aave.py # Aave integration
│ └── curve.py # Curve integration
├── strategies/
│ ├── yield.py # Yield strategies
│ └── liquidity.py # Liquidity management
└── analytics/
├── metrics.py # Protocol metrics
└── risk.py # Risk assessment
Features
Protocol integration
Strategy execution
Position management
Yield optimization
Risk assessment
5. Market Analysis (equilink.analysis)
Handles market data analysis and trading signals.
Components
equilink/analysis/
├── market/
│ ├── price.py # Price analysis
│ └── volume.py # Volume analysis
├── technical/
│ ├── indicators.py # Technical indicators
│ └── patterns.py # Pattern recognition
└── sentiment/
├── social.py # Social sentiment
└── news.py # News analysis
Features
Price analysis
Volume analysis
Technical indicators
Pattern recognition
Sentiment analysis
6. Social Integration (equilink.social)
Manages social media integration and community engagement.
Structure
equilink/social/
├── platforms/
│ ├── twitter.py # Twitter integration
│ ├── discord.py # Discord integration
│ └── telegram.py # Telegram integration
├── analytics/
│ ├── sentiment.py # Sentiment analysis
│ └── trends.py # Trend detection
└── engagement/
├── responder.py # Automated responses
└── manager.py # Community management
Features
Platform integration
Sentiment analysis
Trend detection
Community management
Automated engagement
7. Data Management (equilink.data)
Handles data storage, processing, and analytics.
Components
equilink/data/
├── storage/
│ ├── database.py # Database management
│ └── cache.py # Caching system
├── processing/
│ ├── pipeline.py # Data processing
│ └── transform.py # Data transformation
└── analytics/
├── metrics.py # System metrics
└── reports.py # Reporting
Features
Data storage
Caching
Processing pipelines
Analytics
Reporting
8. Security (equilink.security)
Manages system security and access control.
Structure
equilink/security/
├── auth/
│ ├── keys.py # Key management
│ └── access.py # Access control
├── monitoring/
│ ├── alerts.py # Security alerts
│ └── audit.py # Audit logging
└── protection/
├── firewall.py # Request filtering
└── rate_limit.py # Rate limiting
Features
Key management
Access control
Security monitoring
Audit logging
Rate limiting
Data Flow
graph TD
A[Agent Core] --> B[AI Engine]
A --> C[Blockchain]
A --> D[DeFi]
B --> E[Analysis]
E --> D
D --> C
A --> F[Social]
F --> E
Communication Patterns
Event-Based Communication
# Event emission
await event_bus.emit('market.price_update', {
'token': 'ETH',
'price': 2000
})
# Event handling
@event_handler('market.price_update')
async def handle_price_update(data):
await analyze_price_movement(data)
Component Coordination
# Component interaction
class TradingComponent:
async def execute_trade(self, params):
# Coordinate with other components
analysis = await self.analysis.get_market_state()
approval = await self.security.check_transaction()
if approval:
return await self.blockchain.send_transaction()
Component Configuration
components:
ai:
models:
- name: claude
version: 3
priority: 1
- name: groq
version: 1
priority: 2
blockchain:
networks:
- ethereum
- solana
max_gas_price: 100
defi:
protocols:
- uniswap_v3
- aave_v3
max_slippage: 0.5%
Integration Points
External Systems
Blockchain nodes
AI API endpoints
Social platforms
Data providers
Internal Services
Message queue
Cache layer
Database
Metrics collection
Health Checks
# Component health monitoring
async def check_component_health():
status = {
'ai': await ai_engine.health_check(),
'blockchain': await blockchain.health_check(),
'defi': await defi.health_check(),
'social': await social.health_check()
}
return status
Performance Metrics
Response times
Resource usage
Success rates
Error rates
Recovery Procedures
# Component error handling
try:
await component.execute()
except ComponentError as e:
await error_handler.handle(e)
await component.recover()
Fallback Mechanisms
Secondary AI models
Backup data sources
Alternative execution paths
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