Auriko treats LLM providers as trading venues, selecting inference paths based on token price, cache behavior, latency, reliability, and request quality. It provides a unified API, cost-arbitrage engine, and benchmarks to help development teams reduce inference spend while maintaining reliability.
Features
- Unified LLM API
- Cost-arbitrage routing
- Cache-aware optimization
- Latency and reliability tradeoffs
- Request-quality calibration
- Inference cost reporting
Use Cases
- LLM call cost optimization
- Multi-provider model routing
- Enterprise token budget management
- High-volume inference services
- Model gateway evaluation
- AI application cost control
FAQ
Auriko treats LLM providers as trading venues, selecting inference paths based on token price, cache behavior, latency, reliability, and request quality. It provides a unified API, cost-arbitrage engine, and benchmarks to help development teams reduce inference spend while maintaining reliability. Core capabilities include: Unified LLM API, Cost-arbitrage routing, Cache-aware optimization.
Common scenarios include: LLM call cost optimization, Multi-provider model routing, Enterprise token budget management.
