---
id: 20260619-T0-11
title: "面向企业级应用的多智能体系统：解决定制化与部署难题"
title_en: "Scaling Multi-Agent Systems for Enterprise: Customization and Deployment Challenges"
url: https://ai.daily.yangsir.net/daily/20260619-T0-11
issue_date: 2026-06-19
publish_date: 2026-06-18T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2606.18502
---

# 面向企业级应用的多智能体系统：解决定制化与部署难题

arXiv论文探讨了基于大语言模型的多智能体系统在企业级应用中的落地挑战。尽管此类系统在复杂推理和任务执行上表现优异，但针对特定领域的定制化部署依然困难。研究分析了生产环境中的主要障碍，并提出了可扩展的定制化框架，旨在降低企业部署多智能体系统的门槛，提升其在实际业务中的稳定性。

## English Version

**Scaling Multi-Agent Systems for Enterprise: Customization and Deployment Challenges**

An arXiv paper examines the deployment challenges of LLM-based multi-agent systems in enterprise settings. While these systems excel at complex reasoning, domain-specific customization remains difficult for production use. The study proposes a scalable framework to simplify deployment and enhance stability for real-world business applications.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2606.18502)

**详情页**：https://ai.daily.yangsir.net/daily/20260619-T0-11

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