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Open-source LLM agents can get a 27% performance boost in tool use by strategically injecting context tailored to address common failure modes.
LLMs struggle to consistently use tools in dynamic environments, but a simple input reformulation strategy can boost performance by over 16% compared to standard methods like ReAct.
