Not Diamond

Not Diamond predicts which model will give the best answer to a particular prompt and routes the call accordingly. You can train a custom router on your own evaluation data.

It also offers prompt adaptation, which rewrites prompts so they work well when you switch models. That helps when you want to move to a cheaper model without redoing everything by hand.

It is aimed at developers who run large volumes of LLM calls and care about cost and latency.