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We develop a reusable GLM5Agent class that operates a complete autonomous cycle, automatically routing requests to weather, calculation, temporal, and unit transformation tools across multiple rounds until arriving at a definitive solution. We evaluate it with a complicated multi-faceted question necessitating three distinct tool invocations in one turn. We then conduct a parallel analysis of the same challenging 12-coin logic problem with cognitive processing deactivated versus activated, quantifying both response duration and answer precision.
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Гражданам РФ сообщили о возможных проблемах при использовании лайфхаков для обхода ограничений на ручную кладь20:48
Раскрыт значимый аспект американо-иранских переговоров02:31