A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
The paper presents a methodology for selecting and composing runtime architecture patterns for production LLM agents. It introduces the concept of the stochastic-deterministic boundary (SDB) as a critical architectural element. The methodology includes a five-step process for pattern selection and addresses potential production failures.
- ▪The stochastic-deterministic boundary (SDB) is defined as a four-part contract among proposer, verifier, commit step, and reject signal.
- ▪The paper organizes agent runtime design into three main concerns: Coordination, State, and Control.
- ▪A catalog of six runtime patterns is presented, each varying in composition across different types of agents.
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Computer Science > Artificial Intelligence arXiv:2605.20173 (cs) [Submitted on 19 May 2026] Title:A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents Authors:Vasundra Srinivasan View a PDF of the paper titled A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents, by Vasundra Srinivasan View PDF HTML (experimental) Abstract:Production LLM agents combine stochastic model outputs with deterministic software systems, yet the boundary between the two is rarely treated as a first-class architectural object.
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