From Prompt to Service: An SLM-Based Agent Orchestration Gateway for AI-Driven Virtual Worlds
The paper introduces an SLM-based Agent Orchestration Gateway designed for AI-driven virtual worlds. This gateway facilitates the decoupling of virtual world clients from diverse AI backends, enhancing service coordination. The findings demonstrate the potential of SLMs to support efficient AI service orchestration on edge hardware.
- ▪The SLM-based Agent Orchestration Gateway addresses architectural challenges in AI-driven virtual worlds.
- ▪It enables intent-driven service routing, allowing for seamless integration of new AI capabilities without modifying client applications.
- ▪The evaluation indicates that compact SLMs can effectively serve as intent routers on edge hardware.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2606.03557 |
| Publication time | Wed, 03 Jun 2026 00:00:00 -0400 |
| Retrieval time | 2026-06-03T04:11:55.408Z |
| Last seen | 2026-06-03T04:11:55.408Z |
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| Summary source text | contentText |
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| Publisher visit | Yes — open original |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Artificial Intelligence arXiv:2606.03557 (cs) [Submitted on 2 Jun 2026] Title:From Prompt to Service: An SLM-Based Agent Orchestration Gateway for AI-Driven Virtual Worlds Authors:Louis Nisiotis, Aimilios Hadjiliasi View a PDF of the paper titled From Prompt to Service: An SLM-Based Agent Orchestration Gateway for AI-Driven Virtual Worlds, by Louis Nisiotis and Aimilios Hadjiliasi View PDF HTML (experimental) Abstract:As generative AI capabilities expand, AI-driven virtual worlds face a growing architectural challenge. Users interact through in-world interfaces in multimodal ways, yet their requests demand fundamentally different AI backend models and computational resources.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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