astra-langchain4j: Experiences Combining LLMs and Agent Programming

Fuente: arXiv
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Auteurs principaux: Collier, Rem, Beaumont, Katharine, Ciortea, Andrei
Format: Preprint
Publié: 2026
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author Collier, Rem
Beaumont, Katharine
Ciortea, Andrei
author_facet Collier, Rem
Beaumont, Katharine
Ciortea, Andrei
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_21879
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle astra-langchain4j: Experiences Combining LLMs and Agent Programming
Collier, Rem
Beaumont, Katharine
Ciortea, Andrei
Artificial Intelligence
Multiagent Systems
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.
title astra-langchain4j: Experiences Combining LLMs and Agent Programming
topic Artificial Intelligence
Multiagent Systems
url https://arxiv.org/abs/2601.21879