AI Integration Framework
Reusable TypeScript framework for integrating multiple AI providers with built-in rate limiting, caching, and fallback strategies.
Technical Architect
Open Source
Challenge
Create a production-grade framework for integrating AI providers that handles the real-world challenges of rate limits, costs, reliability, provider switching, and provides a clean developer experience.
Approach
Designed a provider-agnostic architecture with intelligent caching layer, request queuing with rate limiting, automatic fallback and retry strategies, and comprehensive cost tracking — all wrapped in a clean TypeScript API.
Key Responsibilities
Designed provider-agnostic architecture for multi-model support
Implemented intelligent caching layer with TTL and invalidation
Built request queue with rate limiting and backpressure
Created fallback and retry strategies across providers
Added comprehensive cost tracking and analytics dashboard
Results
- 01
45% cost reduction through smart caching
- 02
99.9% reliability with automatic fallbacks
- 03
500+ GitHub stars
- 04
Used in 10+ production applications
- 05
Active community contributions and maintenance