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Effort guides learned model behavior

A supported effort mode guides learned model behavior but does not imply a fixed token count. A separate runtime cap sets a generation limit. Measured outcomes guide subsequent request settings.

Effort guides learned model behaviorA supported effort mode guides learned model behavior but does not imply a fixed token count. A separate runtime cap sets a generation limit. Measured outcomes guide subsequent request settings. Effort mode supported settings Learned policy quality / cost Generated work reasoning + calls Task outcome quality / time / cost Hard limit generation cap Evaluate compare requests Select subsequent effort
An effort signal selects learned behavior, with adaptive token use. Evaluation supplies data for subsequent settings. A hard runtime cap separately sets a generation limit. The author made this explanatory diagram with example playback, and animation time is not measured runtime. Open full-size SVG