EngineeringFeb 28, 2026·8 min read
How intelligent LLM routing cuts AI costs by 80%
A deep dive into our routing algorithm and how it selects the best model for each request based on task complexity, latency requirements, and cost targets.
Engineering insights, product updates, and AI research from the Auraon team.
A deep dive into our routing algorithm and how it selects the best model for each request based on task complexity, latency requirements, and cost targets.
Building a reliable LLM routing platform involves unique infrastructure challenges. Here's what we learned scaling to millions of API requests.
We tested both models with 10,000 coding prompts. The results were surprising — and have important implications for how you route coding tasks.
What we learned building a proxy layer that's 100% compatible with the OpenAI API spec while supporting 200+ models with different response formats.