📄 中文摘要
在现实世界的人工智能应用中，单一智能体响应查询往往无法满足需求。多步骤的过程需要明确的顺序，多个智能体需要协作完成任务的不同方面。此外，基于中间结果的条件分支和在关键决策点的人类审批也是不可或缺的。为了支持长时间运行的任务，系统需要具备耐久性。通过这些功能，智能体框架能够有效地管理复杂的AI任务，实现更高效的工作流。
智能体框架工作流：超越聊天——协调复杂的人工智能任务
出处: Agent Framework Workflows: Beyond Chat — Orchestrating Complex AI Tasks
发布: 2026年2月23日
📄 English Summary
Agent Framework Workflows: Beyond Chat — Orchestrating Complex AI Tasks
Real-world AI applications often require more than a single agent responding to queries. Multi-step processes with explicit ordering are necessary, along with multiple agents collaborating on different aspects of a task. Conditional branching based on intermediate results and human approval at critical decision points are also essential. Durability is required for long-running tasks. These features enable the agent framework to effectively manage complex AI tasks, leading to more efficient workflows.