Asynchronous Tool Usage for Real-Time Agents

• URL: http://arxiv.org/abs/2410.21620v1
• Date: Mon, 28 Oct 2024 23:57:19 GMT
• Title: Asynchronous Tool Usage for Real-Time Agents
• Authors: Antonio A. Ginart, Naveen Kodali, Jason Lee, Caiming Xiong, Silvio Savarese, John Emmons,
• Abstract summary: We introduce asynchronous AI agents capable of parallel processing and real-time tool-use. Our key contribution is an event-driven finite-state machine architecture for agent execution and prompting. This work presents both a conceptual framework and practical tools for creating AI agents capable of fluid, multitasking interactions.
• Score: 61.3041983544042
• License:
• Abstract: While frontier large language models (LLMs) are capable tool-using agents, current AI systems still operate in a strict turn-based fashion, oblivious to passage of time. This synchronous design forces user queries and tool-use to occur sequentially, preventing the systems from multitasking and reducing interactivity. To address this limitation, we introduce asynchronous AI agents capable of parallel processing and real-time tool-use. Our key contribution is an event-driven finite-state machine architecture for agent execution and prompting, integrated with automatic speech recognition and text-to-speech. Drawing inspiration from the concepts originally developed for real-time operating systems, this work presents both a conceptual framework and practical tools for creating AI agents capable of fluid, multitasking interactions.

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