Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents 事件

Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents arXiv:2605.22166v2 Announce Type: replace Abstract: LLM agents are shaped not only by their language models, but also by the runtime harness that mediates observation, tool use, action execution, feedback interpretation, and trajectory control. While existing agent adaptation methods mainly update model parameters, many failures in deterministic, rule-governed domains stem from mismatches at the model