Auriko

Auriko is a unified API platform that acts like a trading desk for AI inference. Instead of picking one LLM provider and sticking with it, you send each request through Auriko, and it automatically routes to the provider that gives you the lowest cost for that specific call. It factors in things like prompt caching mechanics, provider pricing quirks, and real-time performance data — not just headline prices. The result is that you can access models from OpenAI, Anthropic, Google, DeepSeek, Fireworks AI, and a dozen others through a single endpoint, and pay less than you would by going direct.

What makes Auriko interesting is how deep the optimization goes. It doesn't just compare per-token costs. It models how your particular workload interacts with each provider's caching system — because a cached prompt can be dramatically cheaper than a fresh one. You can set routing strategies that optimize for cost, latency, throughput, or a custom mix. There are also budget controls, automatic failover, and a global edge network for low latency. You can bring your own API keys, use Auriko's platform keys, or combine both. The integration is straightforward: change the base URL and API key in your existing OpenAI-compatible code, and you're done.

This tool is built for developers and teams who run significant LLM workloads and want to cut costs without switching providers manually. If you're building an AI-powered product, running batch inference jobs, or managing multiple models across different providers, Auriko saves you the headache of juggling keys and comparing bills. It's also useful for teams that need reliability — the automatic failover means if one provider goes down, requests are rerouted without breaking your app.