AI RESEARCH
A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
arXiv CS.AI
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ArXi:2605.20173v1 Announce Type: new 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. This paper names that boundary the stochastic-deterministic boundary (SDB): a four-part contract among a proposer, verifier, commit step, and reject signal that specifies how an LLM output becomes a system action. We argue that the SDB is the load-bearing primitive of production agent runtimes.