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Custom Agents

Learn how to build, deploy, and manage custom AI agents in Rezolve.ai.

Overview​

Rezolve.ai provides a flexible framework for creating custom AI agents to extend platform capabilities and automate specific business processes.

Suggested Image: "custom-agents-overview.png" - Custom agents framework architecture

Building Custom Agents​

1. Agent Framework​

Components:

  • Base classes
  • Extension points
  • Integration APIs
  • Utility functions

Suggested Image: "agent-framework.png" - Framework components diagram

2. Development Process​

Steps:

  1. Requirements analysis
  2. Agent design
  3. Implementation
  4. Testing
  5. Deployment
  6. Monitoring

Suggested Image: "development-process.png" - Development lifecycle

Agent Types​

1. Process Automation Agents​

Purpose: Automate specific business processes

Examples:

  • Approval workflows
  • Resource allocation
  • Budget management
  • Compliance checking

Suggested Image: "process-agents.png" - Process automation examples

2. Integration Agents​

Purpose: Connect with external systems

Features:

  • Data synchronization
  • API integration
  • Format conversion
  • State management

Suggested Image: "integration-agents.png" - Integration patterns

3. Analysis Agents​

Purpose: Perform specialized analysis

Capabilities:

  • Data processing
  • Pattern recognition
  • Trend analysis
  • Report generation

Suggested Image: "analysis-agents.png" - Analysis workflow

Deployment Options​

1. Ticket Process Events​

Configuration:

  • Event triggers
  • Process flow
  • Error handling
  • State management

Suggested Image: "ticket-deployment.png" - Ticket process flow

2. Knowledge Process Events​

Integration points:

  • Content creation
  • Update triggers
  • Review process
  • Publication workflow

Suggested Image: "knowledge-deployment.png" - Knowledge process integration

3. Scheduled Tasks​

Features:

  • Timing configuration
  • Resource management
  • Dependency handling
  • Error recovery

Suggested Image: "scheduled-tasks.png" - Task scheduling interface

Development Tools​

1. Agent SDK​

Components:

  • Core libraries
  • Development tools
  • Testing framework
  • Documentation

2. Development Environment​

Tools:

  • IDE integration
  • Debugging tools
  • Local testing
  • Performance profiling

Suggested Image: "development-tools.png" - Development environment

Testing and Quality​

1. Testing Framework​

Features:

  • Unit testing
  • Integration testing
  • Performance testing
  • Load testing

2. Quality Assurance​

Processes:

  • Code review
  • Security audit
  • Performance analysis
  • Compliance check

Suggested Image: "testing-framework.png" - Testing components

Performance Optimization​

1. Resource Management​

  • CPU optimization
  • Memory management
  • Network efficiency
  • Storage optimization

2. Scaling Strategies​

  • Horizontal scaling
  • Load balancing
  • Caching
  • Queue management

Suggested Image: "performance-optimization.png" - Optimization strategies

Security Considerations​

1. Authentication​

  • Identity verification
  • Access control
  • Token management
  • Session handling

2. Data Protection​

  • Encryption
  • Data masking
  • Audit logging
  • Compliance

Suggested Image: "security-measures.png" - Security implementation

Best Practices​

1. Development​

  • Modular design
  • Clean code
  • Documentation
  • Version control

2. Deployment​

  • Staged rollout
  • Monitoring setup
  • Backup procedures
  • Recovery plans

3. Maintenance​

  • Regular updates
  • Performance monitoring
  • Security patches
  • Documentation updates

Suggested Image: "best-practices.png" - Best practices checklist

Troubleshooting​

Common Issues​

  1. Development Issues

    • Build errors
    • Integration problems
    • Performance issues
    • Security concerns

  2. Runtime Issues

    • Execution errors
    • Resource constraints
    • Integration failures
    • State inconsistencies

Suggested Image: "troubleshooting-guide.png" - Troubleshooting flowchart

Example Implementations​

1. Custom Approval Agent​

class ApprovalAgent extends BaseAgent {
    async processRequest(request) {
        // Implementation details
    }
}

2. Data Integration Agent​

class DataSyncAgent extends BaseAgent {
    async syncData(source, target) {
        // Implementation details
    }
}

Suggested Image: "example-implementations.png" - Code examples