Abstract
Compositional AI systems increasingly operate through orchestration layers, retrieval mechanisms, external tooling, routing systems, and probabilistic model behavior. Under these conditions, evaluation often occurs through observable interaction surfaces while direct visibility into the full composition producing an interaction remains limited, partial, or absent at the point of interaction.
This paper defines the Interaction Boundary Constraint as a limit on what can be legitimately inferred from interaction surfaces alone under conditions where producing composition is not fully present at the point of interaction. The constraint distinguishes between reconstruction and compositional presence and constrains the scope of claims that interaction-surface evaluation alone can establish regarding producing composition.
This work situates the constraint relative to adjacent disciplines including observability theory, software architecture, information theory, and reconstruction-oriented frameworks. These disciplines address related concerns regarding visibility, interfaces, uncertainty, transmission, and reconstruction, but do not fully characterize inferential limits at the interaction surface itself.
The Interaction Boundary Constraint is proposed as an interaction-centered characterization framework for reasoning about evaluation limits in compositional systems under conditions of incomplete compositional visibility.
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Recommended Citation
Harber, Brian, "Interaction Boundary Constraint", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10836