System Architecture

Understanding LP Agent’s technical infrastructure

High Level Architecture

LP Agent’s architecture is designed for optimal performance, security, and reliability in DeFi automation.

High-level system architecture of LP Agent

Core Components

API Tools Layer

Our frontend interface provides several key tools:

Suggestion Engine

AI-powered position optimization and recommendations

LP Info

Comprehensive liquidity position analytics

Pool Info

Detailed pool metrics and performance data

Wallet Info

Wallet integration and position management

Schedule Engine

Manages automated operations through three key modules:

• LP Actions: Executes position management operations
• Rebalancing: Handles automated position rebalancing
• TP/Stop Loss: Manages take-profit and stop-loss executions

AI Engine

Our intelligent core consists of:

LLM (Large Language Model)

• Natural language processing for user interactions
• Strategy explanation and recommendations
• Risk assessment communications
• Market analysis interpretation

Tools Integration

• Connects AI decision-making with execution tools
• Integrates market data analysis
• Manages automation workflows
• Coordinates with LP knowledge base

LP Knowledge Base

• Impermanent loss knowledge
• CLMM knowledge
• DLMM Knowledge
• Farming knowledge

Data Sources

On-Chain Data

• Solana RPC Node: Direct blockchain interaction for real-time data
• Market Data: Token pricing, pool metrics, and social indicators

User Interface

Multiple access points for users:

• Web interface for complete platform access
• Telegram integration for notifications and basic controls
• Chat API for direct communication with our AI

Security Architecture

User Sandbox

Secure environment for user operations:

• Private key/Privy key management
• Isolated LP action execution
• Delegated action system

Notification System

Real-time alerts for:

• Position changes
• Market events
• Strategy updates
• Risk notifications

Automation Flow

1. Data Collection

   Market and on-chain data are continuously gathered through our RPC node and market data feeds

2. Analysis

   The AI Engine processes data through our Tools and LP Knowledge systems

3. Decision Making

   Automated decisions are made based on user preferences and market conditions

4. Execution

   Actions are executed through the Schedule Engine with proper security measures

5. Monitoring

   Continuous monitoring and adjustments through our notification system

All components are designed to work seamlessly together, providing a secure, efficient, and user-friendly experience while maintaining high performance and reliability.

Technical Integration

Ready to integrate? Check our technical documentation for detailed API specifications and integration guides.