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现在的量化交易早就不是简单的技术指标了。真正有效的交易系统需要像一个完整的投资团队一样工作——有专门的分析师收集各种数据，有研究员进行深度分析和辩论，有交易员制定具体策略，还有风险管理团队把关。问题是传统的程序很难模拟这种复杂的协作流程。 LangGraph的多智能体架构正好解决了这个问题。我们可以构建一个像真实投资公司一样运作的系统，每个智能体负责特定的职能，它们之间可以进行辩论、协商，最终形成 ...

在构建企业级AI Agent的路上，几乎每个团队都会经历一个从兴奋到痛苦的转折点——当接入的工具数量从几十个激增至上千个，“调用灾难”便不期而至。我们的团队正深陷其中。