Development

Extend HolmesGPT with custom integrations, contribute to the project, or integrate it into your own applications.

Development Areas

Custom Extensions

• Custom Toolset Development - Build your own data source integrations
• Examples & Templates - Code samples and starter templates

Integration & API

• API Reference - Programmatic access to HolmesGPT
• Contributing Guidelines - How to contribute to the HolmesGPT project

Development Setup

To start developing with HolmesGPT:

1. Set up development environment - Local Kubernetes cluster and tools
2. Clone the repository - Get the latest source code
3. Build and test - Create your custom integrations
4. Deploy and validate - Test in a development environment

Common Development Tasks

Building Custom Toolsets

Create integrations for: - Internal APIs and services - Custom monitoring systems - Specialized data sources - Legacy systems

API Integration

Use HolmesGPT programmatically: - Trigger investigations from your applications - Integrate with incident management systems - Build custom dashboards and reporting - Automate investigation workflows

Contributing

Help improve HolmesGPT: - Fix bugs and improve performance - Add new built-in toolsets - Enhance documentation - Share examples and best practices

Development Resources

• Source Code: GitHub Repository
• Issue Tracker: GitHub Issues
• Community: Slack Channel
• Documentation: You're reading it!

Getting Started

New to HolmesGPT development? Start with:

1. Custom Toolset Development - Learn the basics of extending HolmesGPT
2. Examples & Templates - See practical code examples
3. Contributing Guidelines - Understand the development process

Ready to build something custom? Begin with Custom Toolset Development.