Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
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 o
Record details
Published: 21 May 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Incentive-Aligned Vehicle-to-Vehicle Energy Trading via Nash-Integrated Multi-Agent Reinforcement Learning
arXiv · 21 May 2026
Echo: Learning from Experience Data via User-Driven Refinement
arXiv · 21 May 2026
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents
arXiv · 21 May 2026
How Far Will They Go? Red-Teaming Online Influence with Large Language Models
arXiv · 20 May 2026
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
arXiv · 22 May 2026
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
arXiv · 22 May 2026
How to cite this record
ethics.ai (21 May 2026), “Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents,” evidence record 3928, https://ethics.ai/record/3928 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.