Stop Worrying About Model Availability
The Problem: You build a feature using GPT-4. Next month, it's deprecated. Your app breaks. Users complain. You scramble to update code, test new models, and redeploy.
The Solution: Freeference eliminates model anxiety with intelligent auto-routing and random fallbacks.
Why Developers Choose Freeference
🚀 Ship Once, Run Forever
No more model deprecation nightmares. Our auto-routing adapts to provider changes automatically. Your code stays the same.
🎯 Built for Developers Who Want to Ship
- Beginners: No model expertise needed. Just send your prompt.
- Fast Shippers: Integrate in 60 seconds with OpenAI-compatible API.
- Experienced Devs: Full control when you need it, automation when you don't.
🛡️ Never Break Again
- Auto-Routing: We detect intent and pick the best model
- Random Fallback:
GET /models/randomalways returns a working model - Multi-Provider: If one provider fails, we try the next automatically
How It Works
- You Send a Prompt: No model selection required
- We Classify Intent: Code? Reasoning? General chat?
- We Route Intelligently: Best model for your task
- Failover Happens: Provider down? We switch automatically
The Freeference Guarantee
Your app will never break due to model deprecation. We handle the complexity. You ship features.
Real-World Example
# Your code today
response = client.chat.completions.create(
messages=[{"role": "user", "content": "Explain quantum computing"}]
)
# Still works 6 months from now
# Even if every underlying model changes
Who We're For
- Startups: Focus on product, not infrastructure
- Indie Hackers: Ship side projects without DevOps overhead
- Agencies: Build client apps that don't require maintenance
- Enterprises: Eliminate vendor lock-in and model risk
Our Vision
AI should be a utility like electricity—always on, always reliable, always improving. Freeference is the abstraction layer that makes this possible.
Stop managing models. Start shipping features.