Measuring and optimizing LLM tool-agent harnesses by adjusting prompts and middleware without retraining the model
Read the original at arxiv.org→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...
Original headline: "Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses"
Coverage timeline
- Sep 9, 04:00 UTC arXiv cs.AI lead source Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses