Ever hit a rate limit and watch your AI app stall? This repo lets you flip between dozens of free model APIs without missing a beat.
The Simple Version
Think of it as a traffic router for AI models. When one service runs out of credits, the system swaps to another free tier.
How It Actually Works
Endpoint Collection
The repo scrapes public free tiers from providers like Hugging Face, Replicate, and others.
Switching Logic
When a request fails, the code checks the response code and picks the next available endpoint.
Rate‑Limit Handling
Each provider has its own quota; the script tracks usage and triggers a failover when the limit is reached.
Technical Deep Dive
Written in Python, the library uses requests with a fallback loop.
It stores endpoint URLs in a JSON config and validates them on startup.
Why This Matters
For developers building AI agents, constant availability is critical; this tool reduces downtime without extra cost.
It also democratizes access to powerful models for hobbyists and startups.
Key Takeaways
- 34 free AI model endpoints are aggregated in one repo.
- Automatic failover kicks in when a provider hits its limit.
- The solution is lightweight, Python‑based, and easy to extend.
- It helps developers keep AI agents running 24/7.
- Free tiers often have hidden usage caps you should monitor.
- You can add new endpoints by editing a simple JSON file.
- Ideal for prototyping, hackathons, and low‑budget projects.