📄 中文摘要
人机协作（HITL）自主工作流程的构建是提升人工智能系统效率和可靠性的关键。该研究提供了在LangGraph中设置HITL工作流程的具体步骤和方法，强调了人类在决策过程中的重要性。通过结合人类的判断和机器的计算能力，可以实现更为灵活和智能的工作流程。文章还探讨了如何优化这些流程，以适应不同的应用场景和需求，从而提高整体系统的性能和用户体验。具体案例分析展示了HITL工作流程在实际应用中的有效性和可行性。
构建人机协作的自主工作流程
出处: Building Human-In-The-Loop Agentic Workflows
发布: 2026年3月25日
📄 English Summary
Building Human-In-The-Loop Agentic Workflows
The construction of human-in-the-loop (HITL) agentic workflows is crucial for enhancing the efficiency and reliability of AI systems. This study outlines specific steps and methods for setting up HITL workflows in LangGraph, emphasizing the importance of human judgment in the decision-making process. By combining human insights with machine computational capabilities, more flexible and intelligent workflows can be achieved. The article also explores how to optimize these workflows to adapt to various application scenarios and requirements, thereby improving overall system performance and user experience. Specific case studies demonstrate the effectiveness and feasibility of HITL workflows in practical applications.