Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents

• URL: http://arxiv.org/abs/2405.10467v4
• Date: Wed, 06 Nov 2024 12:29:30 GMT
• Title: Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents
• Authors: Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle,
• Abstract summary: Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents. There is a lack of systematic knowledge to guide practitioners in designing the agents. We present a pattern catalogue consisting of 18 architectural patterns with analyses of the context, forces, and trade-offs.
• Score: 22.94671478021277
• License:
• Abstract: Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents, which can leverage distinguished reasoning and language processing capabilities to takes a proactive, autonomous role to pursue users' goals. Nevertheless, there is a lack of systematic knowledge to guide practitioners in designing the agents considering challenges of goal-seeking (including generating instrumental goals and plans), such as hallucinations inherent in foundation models, explainability of reasoning process, complex accountability, etc. To address this issue, we have performed a systematic literature review to understand the state-of-the-art foundation model-based agents and the broader ecosystem. In this paper, we present a pattern catalogue consisting of 18 architectural patterns with analyses of the context, forces, and trade-offs as the outcomes from the previous literature review. We propose a decision model for selecting the patterns. The proposed catalogue can provide holistic guidance for the effective use of patterns, and support the architecture design of foundation model-based agents by facilitating goal-seeking and plan generation.

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