Overview
Advanced features and specialized use cases for WalletAgent with AI agents.
Overview
This section covers advanced topics for developers who need specialized functionality beyond basic blockchain operations. All features are designed to work with AI agents through prompts.
Topics Covered
Secure key management and encrypted storage options.
When to Use:
Production applications requiring enhanced security
Individual development with enhanced security needs
Applications handling sensitive blockchain operations
AI Agent Capabilities:
"Set up encrypted key storage for production"
"Import my encrypted private key with passphrase"
"Configure secure key rotation policies"
Best practices for private key management in AI-assisted development.
When to Use:
Real blockchain transactions (vs. testing)
Production deployments and operations
Mainnet interactions requiring real assets
AI Agent Capabilities:
"Import private key from environment variable"
"Switch from mock wallet to real private key"
"Set up secure private key management workflow"
Creating custom user instructions and prompts for AI agents.
When to Use:
Individual-specific blockchain workflows
Custom contract interaction patterns
Standardized development procedures
AI Agent Capabilities:
"Create user instructions for my DeFi protocol"
"Set up standard prompts for token operations"
"Configure personal blockchain workflows"
Integration with Hyperliquid decentralized exchange.
When to Use:
High-frequency trading operations
Advanced DeFi strategies
Perpetual futures trading
AI Agent Capabilities:
"Connect to Hyperliquid with my trading keys"
"Place limit orders on BTC perpetuals"
"Monitor my Hyperliquid positions and PnL"
Security Considerations
Production Readiness
Advanced topics often involve production-ready features that require careful security consideration:
Private Key Security:
Never hardcode private keys in configuration
Use environment variables or secure vaults
Implement key rotation policies
Monitor and audit key usage
Network Security:
Use HTTPS endpoints in production
Implement proper error handling
Avoid exposing sensitive information in logs
Use secure communication channels
Access Control:
Implement proper authentication
Use least-privilege access patterns
Monitor and log all operations
Implement session management
AI Agent Security
Special considerations when using AI agents with advanced features:
Prompt Security:
Avoid including sensitive information in prompts
Use secure channels for AI agent communication
Implement prompt validation and sanitization
Monitor AI agent interactions
Operation Validation:
Always validate high-value operations
Implement confirmation flows for critical actions
Use transaction simulation before execution
Maintain operation audit trails
Common Advanced Workflows
Production Deployment
Developer: "Help me set up WalletAgent for production with encrypted keys and monitoring"
AI Agent Response: The AI will guide through:
Encrypted key storage configuration
Production RPC endpoint setup
Monitoring and alerting configuration
Security best practices implementation
Multi-Chain Operations
Developer: "Set up multi-chain operations across Ethereum, Polygon, and Arbitrum with real assets"
AI Agent Response: The AI will configure:
Chain-specific RPC endpoints
Cross-chain asset management
Gas optimization strategies
Transaction monitoring across chains
DeFi Integration
Developer: "Integrate with multiple DeFi protocols for yield farming operations"
AI Agent Response: The AI will help with:
Protocol-specific contract interactions
Yield calculation and monitoring
Automated strategy execution
Risk management and safeguards
Trading Operations
Developer: "Set up automated trading on Hyperliquid with risk management"
AI Agent Response: The AI will configure:
Hyperliquid API integration
Trading strategy implementation
Position monitoring and management
Risk controls and stop-losses
Performance Considerations
High-Volume Operations
Advanced use cases often involve high-volume operations:
Optimization Strategies:
Use batch operations where possible
Implement intelligent caching
Optimize RPC endpoint selection
Monitor and tune performance
Resource Management:
Monitor memory usage for large operations
Implement proper cleanup procedures
Use connection pooling effectively
Scale resources based on demand
Real-Time Operations
Some advanced features require real-time performance:
Latency Optimization:
Use reliable RPC endpoints
Implement local caching strategies
Optimize network configurations
Monitor and measure latency
Reliability:
Implement retry logic and failover
Use redundant service endpoints
Monitor system health continuously
Implement proper error recovery
Troubleshooting Advanced Features
Common Issues
Key Management Problems: Developer: "My encrypted keys aren't loading properly" AI Response: The AI will help diagnose:
Key file permissions and accessibility
Encryption/decryption processes
Environment variable configuration
Security policy conflicts
Integration Failures: Developer: "My custom integration isn't working with the AI agent" AI Response: The AI will check:
Integration configuration and setup
API compatibility and versions
Network connectivity and permissions
Error logs and diagnostic information
Performance Issues: Developer: "Advanced operations are running too slowly" AI Response: The AI will analyze:
Network latency and RPC performance
Caching effectiveness and hit rates
Resource utilization and bottlenecks
Optimization opportunities
Debugging Strategies
Systematic Troubleshooting:
Verify basic connectivity and configuration
Test with minimal configurations
Check logs and error messages
Isolate problematic components
Test with known working configurations
Performance Analysis:
Measure baseline performance
Identify bottlenecks and constraints
Implement optimizations incrementally
Measure and validate improvements
Monitor long-term performance trends
Development Best Practices
Testing Advanced Features
Comprehensive Testing Approach:
Test with both mock and real environments
Validate security measures and access controls
Test failure scenarios and error handling
Performance test under realistic loads
Staging Environment:
Use staging environments for testing
Mirror production configurations
Test with realistic data volumes
Validate monitoring and alerting
Documentation and Maintenance
Operational Documentation:
Document all custom configurations
Maintain runbooks for common operations
Document troubleshooting procedures
Keep security procedures up to date
Monitoring and Maintenance:
Implement comprehensive monitoring
Regular security audits and updates
Performance monitoring and optimization
Regular backup and recovery testing
Getting Help
Community Resources
GitHub Discussions for advanced topics
Discord community for real-time help
Documentation feedback and improvements
Professional Support
Enterprise support for production deployments
Custom integration assistance
Security audit and review services
Performance optimization consulting
Navigation
Explore specific advanced topics:
Related Documentation
Developer Guide - Core development concepts
API Reference - Complete API documentation
Resources - Additional resources and support
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