LLM Runtime
AI CoreYour LLM calls fail at 3am. You don't know until morning. Switching models means rewriting code.
### How it works
Drop-in LLM proxy with 7 levels of fallback. Auto-calibrates model per request strategy. Detects user frustration and escalates to premium model. Tracks every token spent. Send one API call — the runtime handles provider selection, failover, streaming, and budget tracking automatically.
### API Example
curl -X POST https://api.nevrai.com/v1/chat \
-H "Authorization: Bearer nvr_live_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"messages": [
{"role": "user", "content": "What is JTBD?"}
]
}' ### Key Features
- > 7-level cascade (Groq → OpenRouter → bootstrap fallback)
- > speed_first / quality_first strategy selection
- > Auto-escalation on user frustration detection
- > SSE streaming out of the box
- > Per-request budget tracking and token accounting
### Pricing
Free: 1,000 req/mo
Starter ($49): 10,000 req/mo
Pro ($149): 100,000 req/mo