The Interplay of Harness Design and Post-Training in LLM Agents
This study investigates how designing a 'harness'—a structure wrapping tool-integrated LLM agents—affects their performance after training. It found that more informative harnesses significantly boost performance in both normal and difficult settings. Crucially, models trained with simple, low-effort harnesses fail dramatically when the tools change unexpectedly.