Getting Started with Equilink

This guide will help you set up and run your own instance of Equilink. Follow these instructions carefully to ensure proper installation and configuration.

Prerequisites

System Requirements

• Python 3.11 or higher

• Node.js 18+ (for frontend components)

• 16GB RAM minimum (32GB recommended)

• Linux/macOS/Windows with WSL2

Required Accounts and API Keys

• Ethereum/Solana node access (Infura, Alchemy, or private node)

• AI API access:

  • Anthropic API key (Claude)

  • Groq API credentials

• Social platform access:

  • Twitter Developer API keys

  • Discord Bot tokens

• Blockchain explorer API keys (optional)

Installation

1. Clone the Equilink repository:

git clone https://github.com/yourusername/equilink.git
cd equilink

1. Set up a Python virtual environment:

python -m venv venv
source venv/bin/activate  # Linux/Mac
.\venv\Scripts\activate   # Windows

1. Install required dependencies:

pip install -r requirements.txt
npm install  # for frontend components

1. Configure your environment:

cp .env.example .env
# Edit .env with your API keys and configuration

Configuration

Core Configuration Files

1. config/main.yaml: Primary configuration file

api:
  anthropic:
    key: ${ANTHROPIC_API_KEY}
  groq:
    key: ${GROQ_API_KEY}
blockchain:
  ethereum:
    rpc_url: ${ETH_RPC_URL}
    chain_id: 1
  solana:
    rpc_url: ${SOLANA_RPC_URL}

1. config/agent.yaml: Agent behavior settings

agent:
  memory_size: 1000
  response_timeout: 30
  risk_tolerance: medium

1. config/defi.yaml: DeFi protocol settings

protocols:
  uniswap:
    version: 3
    enabled: true
  aave:
    version: 3
    enabled: true

Basic Usage

Starting the Agent

from equilink.core import EquilinkAgent

# Initialize the agent
agent = EquilinkAgent()

# Start the agent with default configuration
await agent.start()

# Or start with custom configuration
await agent.start(config_path="path/to/custom/config.yaml")

Basic Operations

1. Market Analysis

# Analyze specific token
analysis = await agent.analyze_market("ETH")

# Get portfolio recommendations
recommendations = await agent.get_recommendations(
    risk_level="medium",
    investment_size=1000
)

1. Portfolio Management

# Check portfolio status
portfolio = await agent.get_portfolio()

# Execute trade
trade_result = await agent.execute_trade(
    token_in="USDC",
    token_out="ETH",
    amount=1000
)

1. Social Analysis

# Get sentiment analysis
sentiment = await agent.analyze_sentiment("ETH")

# Monitor social trends
trends = await agent.get_social_trends(
    platforms=["twitter", "discord"],
    timeframe="24h"
)

Advanced Configuration

Customizing Agent Behavior

Create a custom configuration file custom_config.yaml:

agent:
  risk_tolerance: high
  trading:
    max_slippage: 0.5
    gas_limit: 500000
  analysis:
    depth: deep
    timeframe: 7d

Setting Up Automated Tasks

1. Create a task configuration:

task_config = {
    "name": "daily_portfolio_rebalance",
    "schedule": "0 0 * * *",  # Daily at midnight
    "parameters": {
        "max_deviation": 5,
        "gas_priority": "medium"
    }
}

# Register the task
await agent.register_task(task_config)

Monitoring and Maintenance

Health Checks

# Check system status
status = await agent.system_status()

# View performance metrics
metrics = await agent.get_metrics()

Logs and Debugging

• Logs are stored in logs/equilink.log

• Debug mode can be enabled in configuration:

debug:
  enabled: true
  level: verbose
  log_path: custom/path/debug.log

Troubleshooting

Common issues and solutions:

1. Connection Issues

# Reset connections
await agent.reset_connections()

# Test specific connection
connection_status = await agent.test_connection("ethereum")

1. API Rate Limits

• Implement retries in configuration:

api:
  retry:
    max_attempts: 3
    delay: 1000

Next Steps

• Review the API Documentation

• Explore Advanced Features

• Check out Example Scripts