operator@spacewhale:~/aegis-ai-gateway
Aegis AI Gateway
Aegis is a Go-based AI infrastructure gateway designed to centralize LLM provider calls behind one internal API.
The goal is to make AI integrations more reliable, observable, testable, and easier to operate.
Problem
Many applications call LLM providers directly from business logic. That creates problems:
- provider lock-in
- weak timeout control
- poor observability
- scattered retry logic
- inconsistent errors
- limited cost visibility
Design goals
- central API for LLM calls
- provider abstraction
- request IDs
- timeout and cancellation handling
- structured errors
- mock provider for testing
- future usage and cost tracking
Current implementation
- Go HTTP service
- health check endpoint
- graceful shutdown
- provider interface
- mock provider
- structured request and response types
Roadmap
- request logging
- provider routing
- usage tracking
- retry policy
- async jobs
- admin dashboard
Related posts
- Building Aegis: A Go-Based AI Gateway for Reliable LLM Calls
- Designing a Provider Interface in Go for LLM Backends
- What Observability Means for LLM Systems