标题： 基于LLM的代理工作流和LLM配置组件的综述 显示英文标题

标题： A Survey on LLM-Based Agentic Workflows and LLM-Profiled Components

摘要： 最近大型语言模型（LLMs）的进展促进了复杂代理工作流的发展，相较于传统的单路径思维链（CoT）提示技术，提供了改进。 本综述总结了常见的工作流，特别关注于LLM-Profiled Components（LMPCs）和对非LLM组件的忽视。 这种探索的原因是为了促进对LLM角色的更清晰理解以及了解LMPCs的可重用性。 显示英文摘要

摘要： Recent advancements in Large Language Models (LLMs) have catalyzed the development of sophisticated agentic workflows, offering improvements over traditional single-path, Chain-of-Thought (CoT) prompting techniques. This survey summarize the common workflows, with the particular focus on LLM-Profiled Components (LMPCs) and ignorance of non-LLM components. The reason behind such exploration is to facilitate a clearer understanding of LLM roles and see how reusabile of the LMPCs.