[2603.00495] AI Runtime Infrastructure

Computer Science > Artificial Intelligence arXiv:2603.00495 (cs) [Submitted on 28 Feb 2026] Title:AI Runtime Infrastructure Authors:Christopher Cruz View a PDF of the paper titled AI Runtime Infrastructure, by Christopher Cruz View PDF HTML (experimental) Abstract:We introduce AI Runtime Infrastructure, a distinct execution-time layer that operates above the model and below the application, actively observing, reasoning over, and intervening in agent behavior to optimize task success, latency, token efficiency, reliability, and safety while the agent is running. Unlike model-level optimizations or passive logging systems, runtime infrastructure treats execution itself as an optimization surface, enabling adaptive memory management, failure detection, recovery, and policy enforcement over long-horizon agent workflows. Subjects: Artificial Intelligence (cs.AI) ACM classes: I.2.11 Cite as: arXiv:2603.00495 [cs.AI]   (or arXiv:2603.00495v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2603.00495 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Christopher Cruz [view email] [v1] Sat, 28 Feb 2026 06:27:25 UTC (85 KB) Full-text links: Access Paper: View a PDF of the paper titled AI Runtime Infrastructure, by Christopher CruzView PDFHTML (experimental)TeX Source view license Current browse context: cs.AI < prev   |   next > new | recent | 2026-03 Change to browse by: cs References & Citations NASA ADSGoogle Scholar Sema...