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LLM agent harnesses

topic1 events
papersSEP 10 04:00 UTC

Paper proposes measuring and optimizing LLM agent harnesses without retraining models

A new arXiv paper studies how LLM tool agents can be improved by modifying the runtime harness around a fixed model, including prompts, tool interfaces, middleware, state handling, and recovery logic. The authors frame this as a resource-bounded harness selection problem, arguing that agent performance can be improved without retraining. The work offers ways to measure and optimize these harness components systematically.

agents/evaluation/benchmarks