SmartRouter — One API for All AI Models
If you are building a production AI application with more than 100 daily active users, you need an API gateway. This is not optional — it is the same architectural pattern that every successful web service uses for their REST APIs, applied to LLM endpoints.
Directly calling LLM APIs from your application code creates several problems at scale:
5. Cost blind spots: You cannot route simple queries to cheaper models without application-level changes
```
Your App → API Gateway → [OpenAI, Anthropic, Google, DeepSeek, ...]
↓
[Observability, Rate Limiting, Auth, Billing]
```
The gateway:
After running an LLM gateway in production for 12 months, here is what we learned:
1. Latency is the real killer. A gateway adds 50-200ms of overhead. If your provider already takes 2-5 seconds, this is negligible. But if you are building real-time chat, optimize gateway latency aggressively.
2. Fallback must be instant. Users will not wait 10 seconds for a failed request to retry on another provider. Your gateway needs sub-second failover detection.
3. Cost routing is underrated. Most teams focus on failover, but the biggest ROI is cost optimization. Routing simple queries (classification, sentiment, extraction) to cheaper models saves 30-60% without quality loss.
4. Observability is the killer feature. Being able to see exactly which model handled which request, how much it cost, and how long it took — across all providers — changes how you build AI features.
Try SmartRouter as your LLM gateway: https://smartrouter.online
Try SmartRouter free — 50+ models, one OpenAI-compatible API. Auto-routing, failover, cost optimization.
Get Started