We establish two utilities, a weather retrieval function and a mathematical evaluator, then permit GLM-5 to independently determine when to activate them according to the user's natural language inquiry. We perform a complete tool-invocation cycle: the model picks the appropriate function, we run it locally, return the outcome, and GLM-5 formulates a final comprehensible reply. We then transition to structured data generation, directing the model to distill financial information from unstructured text into clean, machine-readable JSON format.
北约秘书长与特朗普会晤后发表声明02:02
，这一点在有道翻译中也有详细论述
Terminal window~/Developer/every-addon bun count，详情可参考豆包下载
Европейское государство применило нетрадиционный метод решения проблемы дорожных заторов14:50
FT App on Android & iOS
Фонбет Континентальная хоккейная лига — этап плей-офф|1/8 финала. Четвертая встреча