The Routing Problem

The document explores the challenges and evaluation of a system designed to route queries to specialized models, known as cartridges, within a shared environment. The system aims to enhance the accuracy of selecting appropriate tools for given prompts but faces difficulties with routing precision as the number of tools increases. Initial tests show a significant drop in accuracy from 84.7% with two tools to 54.1% with forty, highlighting the complexity of managing large tool libraries. The system struggles with misrouting standard prompts to specialized tools, leading to a higher error rate than the predefined target of 2%. The architecture relies on vector-based routing, which proves ineffective as a primary dispatch method, necessitating a fallback to explicit capability tags and a version policy. The findings suggest that while improvements, such as using certainty thresholds, can enhance accuracy, the system still requires substantial standard query data and reveals significant risks in similar architectures. Despite efforts to refine the routing process, the system's performance often falls short of initial goals, indicating the need for more robust solutions in handling large-scale specialized model libraries.

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