Summary
This news highlights a critical issue in evaluating local LLM agents: relying solely on final outputs can be deceptive. Agents might produce correct answers despite exhibiting significant internal inefficiencies or risks, such as calling incorrect or unnecessary tools, looping excessively, or nearly executing dangerous actions. This suggests a need for more comprehensive internal monitoring to ensure agent reliability and safety beyond just the end result.
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