Smart delegation pipeline for AI agents (up to 15-20% on costs) (github.com)

A new smart delegation pipeline for AI agents, named "laya-delegate," has been introduced, potentially reducing operational costs by 15-20%. This innovative pipeline utilizes RTK's output filtering and integrates the Laya classifier to enhance task management. It intelligently routes tasks based on their classification (bug, setup, write, data), optimizing which files the agents need to read and how they engage with commands. Notably, when dealing with data or writing tasks, it delegates the investigation to a sub-agent, improving efficiency and accuracy in task execution. The significance of this development lies in its ability to streamline the processing of complex coding tasks, allowing AI agents to avoid unnecessary computations and instead focus on critical information sourced through the Laya classifier. During trials with Claude Opus 5.5, the pipeline proved effective, achieving up to a 30% reduction in processing costs for certain tasks while maintaining consistent performance. This advancement not only showcases the capabilities of AI in managing technical workflows but also signals a trend toward cost-effective and resource-efficient AI solutions in the machine learning community.