为此，智能体工程通常通过以下几类手段给大模型加“外骨骼”以改善可靠性：引入检索与知识库（RAG）以降低幻觉和知识陈旧的影响；预先设计和约束工作流，而不是完全自由的“自治智能体”，以此限定可接受的执行路径；通过多次回答、自一致性检查或模型间交叉验证，识别并过滤高风险输出；在关键链路节点上设置人工审批，让人类对高风险动作“最后拍板”。
The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code – which would force async boundaries even when every component is synchronous.。快连下载安装对此有专业解读
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