用简单方法构建高效 AI Agent
1 分•作者: Arindam1729•7 个月前
我读了 Anthropic 的一篇好文章，讲的是人们如何构建高效的 AI 智能体。我最大的收获是：保持简单。<p>最好的设置不会使用庞大的框架或花哨的工具。它们将任务分解成小步骤，进行充分测试，并且只有在需要时才添加更多内容。<p>我正在尝试遵循以下几点：<p>1. 不要让它过于复杂。一个 LLM 加上一些工具就适用于大多数情况。<p>2. 仅当流程（如提示链或路由）确实有帮助时才使用它们。<p>3. 了解代码在底层做了什么。<p>4. 花时间为智能体设计好的工具。<p>我正在通过构建小型智能体项目来测试这些想法。很想听听大家是如何构建智能体的！<p>Anthropic 文章链接：https://www.anthropic.com/engineering/building-effective-agents<p>如果你感兴趣，我在这里分享了这些智能体：https://github.com/Arindam200/awesome-ai-apps
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I read a good post from Anthropic about how people build effective AI agents. The biggest thing I took away: keep it simple.<p>The best setups don’t use huge frameworks or fancy tools. They break tasks into small steps, test them well, and only add more stuff when needed.<p>A few things I’m trying to follow:<p>1. Don’t make it too complex. A single LLM with some tools works for most cases.<p>2. Use workflows like prompt chaining or routing only if they really help.<p>3. Know what the code is doing under the hood.<p>4. Spend time designing good tools for the agent.<p>I’m testing these ideas by building small agent projects. Would love to hear how you all build agents!<p>Link to Anthropic's Post: https://www.anthropic.com/engineering/building-effective-agents<p>If you’re curious, I’m sharing the agents here: https://github.com/Arindam200/awesome-ai-apps