Summary
A new open-source framework called Agent-as-a-Router, with its implementation ACRouter, dynamically routes AI prompts to optimize speed and costs by learning from model successes and failures. This approach significantly outperforms static routing methods and expensive premium model defaults, offering a self-optimizing system for enterprise AI applications.