AI in HomeStack
Artificial intelligence has become an integral part of my HomeStack infrastructure. Rather than relying on individual AI service subscriptions or managing multiple API keys across different applications, I’ve built a unified AI layer that serves all my projects.
This series covers how I’ve integrated AI capabilities into my service-oriented architecture, focusing on practical implementation rather than theoretical concepts.
Architecture Overview
My AI setup consists of two main components:
- AI-API: A self-hosted Bifrost Gateway that acts as a reverse proxy for multiple AI providers, including OpenAI, Anthropic, and Google. It provides a single API endpoint for all AI interactions, with centralized authentication and cost tracking.
- Claudex: A secure, containerized development environment for CLI AI agents.
This architecture provides several key benefits:
- Single API endpoint for all AI providers (OpenAI, Anthropic, Google)
- Unified authentication using virtual master keys instead of individual provider keys
- Secure development environment for AI agent experimentation
Posts
1. AI-API: Self-Hosted Bifrost Gateway
How I unified multiple AI providers (OpenAI, Anthropic, Google) behind a single API endpoint using Bifrost, with centralized authentication and cost tracking.
2. Claudex: Secure Containerized AI Development
A Docker-based environment for running AI agents like Claude Code and Codex with strict network isolation and Git-based workspace tracking.
3. AI Integration in HomeStack Services
Practical examples of how AI capabilities are embedded across my HomeStack services, from code generation to content creation.