AI Agent 开发实践：从 Function Call 到 Unix 命令行模式的演进

⌘K

Change language Switch ThemeSign In

Narrow Mode

AI Agent Development Practice: Evolving from Function Calls to Unix Command-Line Mode =====================================================================================

AI Agent Development Practice: Evolving from Function Calls to Unix Command-Line Mode =====================================================================================  ### yan5xu

@yan5xu

还蛮推荐对 agent，有兴趣的朋友，可以往前看看我的推文。我是个一个很爱叨叨的人，所以会把一些灵感直接发到推上。比如昨天发的 cli 的文章，是可以在我的过往推文里面看到，我是如何从最开始的想法，到实践，最后形成一个体系。这些可能比直接看最后的结论更加有体感一些。

!Image 3: yan5xu

#### yan5xu

@yan5xu · 1mo ago

实践出来，效果 hin 不错。把原本的 function call 全部转换成 unix 形式。agent 只用会一个run 工具，就能使用类似命令行调用的方式，并且很自然就可以使用操作符，串联执行。

!Image 4: Tweet image

2

3

16

8,221

Mar 13, 2026, 3:45 AM View on X

3 Replies

0 Retweets

20 Likes

2,388 Views  yan5xu @yan5xu

One Sentence Summary

The author shares their approach to transforming AI Agent tool invocation mechanisms into a Unix-like command-line style, emphasizing the value of documenting the entire process from inspiration to practical implementation.

Summary

The tweet author, a former R&D member at ManusAI, shares their in-depth reflections on AI Agent architectural design. The core idea is to transform the traditional Function Call mechanism into a Unix-like command-line (CLI) format. In this mode, the Agent only needs to learn how to use a single, unified run tool, allowing it to naturally chain multiple tools to execute tasks using Shell-like operators. By reviewing their tweet history, the author demonstrates the complete practical journey of this idea, from its initial spark of inspiration to ultimately forming a robust technical system. They believe that this kind of process-oriented documentation is crucial for developers to build a strong 'technical intuition' or 'practical understanding'.

AI Score

82

Influence Score 6

Published At Today

Language

Chinese

Tags

AI Agent

Function Call

Unix Philosophy

Command-Line Architecture

Development Insights HomeArticlesPodcastsVideosTweets

AI Agent Development Practice: Evolving from Function Cal... ===============