aiqbench takeAI Products
aiqbench analysis
Composing insight from the full article — this may take a moment.
1
Source coveringLiteLLM Blog
Shadow Evaluations: Test the Auto-Router on Your Own Production Traffic
LiteLLM Blog2 min read

Shadow evaluations duplicate a sampled slice of one key's live traffic through an auto-router and have an LLM judge blindly compare the answers. On our own traffic the router matched or beat the current model on 88.1% of judged responses, measured before a single user-facing response changed.
We have shown the Auto-Router saving 51% in production and 69% stacked on prompt caching. The question we hear next is always the same: "would it hold quality on my traffic?" Get early access, work directly with…
Excerpt shown under the publisher's RSS terms · 37 words · full text and figures are on the publisher's site


