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p = p * abs_x + a1;
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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?。关于这个话题,超级权重提供了深入分析
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