Agentic workflows are driven by “supervising” agents and operated by “worker” agents, the latter of which have specialized instructions that are optimized for specific tasks (e.g. a “SQL Generation Agent” or “Request App Agent”). The tradeoff here is the complexity of state management: how do you store and route the necessary context between agents without it leaking into other workers, potentially leading to bad/noisy output?
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从目前的竞争格局来看，蔚来与比亚迪并未在同一个战场上短兵相接，而是各自在封闭生态内加深与用户的绑定。
never,) and thereby lay a stumbling block before weak Christians; as if