将大模型融入传统编程语言，探索智能体系统新设计。
astra-langchain4j: Experiences Combining LLMs and Agent Programming
- 用ASTRA语言构建大模型集成原型，融合传统智能体工具链经验。
- 通过三个实例验证大模型与智能体编程的协同能力。
- 适合研究智能体系统与大模型融合的开发者参考。
过去两年生成式AI的兴起以及对代理型AI（作为多智能体系统的一种形式）的关注日益增加，因此有必要探讨这些技术如何影响传统智能体工具包的应用，以及传统工具包中积累的经验如何指导新型代理平台的设计。本文概述了我们在为ASTRA编程语言开发大语言模型（LLM）集成原型过程中的经验。首先简要介绍该工具包，随后展示三个示例实现，最后总结从这些实践中获得的经验。
原文摘要 · Abstract (English)
Given the emergence of Generative AI over the last two years and the increasing focus on Agentic AI as a form of Multi-Agent System it is important to explore both how such technologies can impact the use of traditional Agent Toolkits and how the wealth of experience encapsulated in those toolkits can influence the design of the new agentic platforms. This paper presents an overview of our experience developing a prototype large language model (LLM) integration for the ASTRA programming language. It presents a brief overview of the toolkit, followed by three example implementations, concluding with a discussion of the experiences garnered through the examples.
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