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Исследования2026年9月9日
Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses
arXiv:2609.05736v1 Announce Type: new Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic. We study this setting as resource-bounded harness…
Cen (Mia), Zhao, Haibo Ruan, Wenjie Chen, Pei-fen Tu, Usman Abbasi, Joel Hesch·arXiv — cs.AI
Original SourceKey Takeaways
- 01.arXiv:2609.05736v1 Announce Type: new Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic
- 02.We study this setting as resource-bounded harness…
This material is provided as an extended analytical summary.
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