AI RESEARCH
Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
arXiv CS.AI
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ArXi:2605.22166v1 Announce Type: new 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--environment interface. We propose Life-Harness, a lifecycle-aware runtime harness that improves frozen LLM agents without changing model weights or evaluation environments. Life-Harness evolves from.