Extensions and Customization

Extensions and Customization

This section covers how to extend Insight Ingenious - an enterprise-grade Python library for AI agent APIs - with custom components, advanced configurations, and Azure service integrations. The library’s extensive customization capabilities enable tailored solutions for specific enterprise requirements.

Available Extension Guides

Core Extensions

• Custom Agents - Create specialized AI agents for specific tasks
• Conversation Patterns - Design custom multi-agent conversation flows
• Flow Implementation - Implement custom workflow logic
• Custom Templates - Create and modify prompt templates

Getting Started with Extensions

Before creating custom extensions, ensure you have:

1. A working Insight Ingenious installation - See Getting Started
2. Understanding of core workflows - See Workflows
3. Development environment setup - See Development Guide

Extension Architecture

Insight Ingenious uses a modular architecture that allows for easy extension:

ingenious/
├── services/
│   └── chat_services/
│       └── multi_agent/
│           ├── agents/           # Custom agents
│           ├── conversation_patterns/  # Conversation patterns
│           └── conversation_flows/     # Flow implementations
├── templates/
│   └── prompts/                 # Custom prompt templates
└── ingenious_extensions_template/  # Extension template

Extension Development Workflow

1. Plan your extension - Define the specific functionality you want to add
2. Choose the right extension type - Agent, pattern, flow, or template
3. Follow the appropriate guide - Use the guides in this section
4. Test your extension - Ensure it works with existing workflows
5. Document your extension - Create clear documentation for others

Best Practices

• Follow naming conventions - Use descriptive, lowercase names with underscores
• Test thoroughly - Test your extensions with different inputs and scenarios
• Document well - Include clear instructions and examples
• Keep it modular - Design extensions to be reusable and maintainable
• Version control - Track changes to your custom extensions

Need Help?

• Check the Troubleshooting Guide
• Review existing extensions in the codebase for examples
• Consult the Development Documentation
• Ask questions in the project repository

Contributing Extensions

If you’ve created a useful extension, consider contributing it back to the project:

1. Fork the repository
2. Create a feature branch
3. Add your extension with proper documentation
4. Submit a pull request

See CONTRIBUTING.md for detailed contribution guidelines.