什么是代理工作流程?模式、用例、示例等

What Are Agentic Workflows? Patterns, Use Cases, Examples, and More

AI agents. Agentic AI. Agentic architectures. Agentic workflows. Agents are everywhere. But what are they really? And can they actually do anything?

AI 代理。代理 AI。代理架构。代理工作流程。代理无处不在。但它们到底是什么?它们真的能做些什么吗?

New technology brings with it a muddled mixture of confusing terminology, wild expectations, and self-proclaimed online experts. In this article, we cut through the noise and hype surrounding AI agents to explain and illustrate a critical tenet of agentic AI: agentic workflows.

新技术带来了混乱的术语、狂野的期望和自称的在线专家。在本文中,我们将穿透围绕AI代理的噪音和炒作,解释和阐明代理AI的一个关键原则:代理工作流程。

Agents, completely on their own, can’t do much. They need to be given roles, goals, and structure to achieve their goals. This is where workflows come in.

代理完全依靠自己,无法做太多事情。他们需要被赋予角色、目标和结构,以实现他们的目标。这就是工作流程的作用。

Understanding agentic workflows allows you to understand how and why AI agents operate as they do. To help you get there, we’ll go through the key components of AI agents, give you a concise definition of agentic workflows, explain what makes a workflow agentic, elaborate on key recurring patterns in agentic workflows, detail real-world examples and use cases, and give an honest overview of the benefits and challenges to using agentic workflows.

理解代理工作流程使您能够理解人工智能代理如何以及为何以特定方式运作。为了帮助您达到这一点,我们将介绍人工智能代理的关键组成部分,给您一个简明的代理工作流程定义,解释什么使工作流程具有代理性,详细阐述代理工作流程中的关键重复模式,提供现实世界的示例和用例,并诚实地概述使用代理工作流程的好处和挑战。

What are AI agents?

什么是人工智能代理?

AI agents are systems that combine LLMs for reasoning and decision-making with tools for real-world interaction, enabling them to complete complex tasks with limited human involvement. Agents are assigned specific roles and given varying degrees of autonomy to accomplish their end goal. They are also equipped with memory, allowing them to learn from past experiences and enhance their performance over time.

人工智能代理是将LLM用于推理和决策与用于现实世界交互的工具相结合的系统,使它们能够在有限的人类参与下完成复杂任务。代理被分配特定角色,并赋予不同程度的自主权以实现其最终目标。它们还配备了记忆,使它们能够从过去的经验中学习,并随着时间的推移提高其性能。

For a more in-depth explanation of AI agents, their history, and tools for building them, check out our recent blog po...

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