The series of Command objects generated by the pipeline is then run by an interpreter using runEffect(checkoutFlow(cartSummary)). Because our business logic consists of pure functions that interact with the world only through data, we can record those interactions simply by adding a few hooks for services like OpenTelemetry. And if we can record them, we can replay them deterministically. Best of all, there’s no need to mock a single database or external service.
首先，智能体应具备强大的目标理解和规划能力来体现智能的自主性。理想状态下，人类只需给出抽象目标，智能体便能理解目标、拆解任务、规划行动，并在尽量少的人工干预下完成执行闭环。就像影《星际穿越》中的机器TARS，在紧急情况下能够根据"拯救宇航员"这一目标，自主判断局势、制定和调整行动策略，甚至做出牺牲自己数据的决定来完成使命。这要求机器智能有深度“理解/思考”能力（推理、规划、决策），能够敏锐地决策，能够基于执行结果与环境反馈动态调整任务规划，而不是僵化地执行既定路径。
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