arXiv: SAGAI-MID — Generative AI-Driven Middleware for Dynamic Runtime Interoperability Across Heterogeneous Agent Services

arXiv·low signal

Larsen and Moghaddam (arXiv:2603.28731) present SAGAI-MID, a middleware layer that uses generative AI to dynamically bridge heterogeneous services including REST APIs with different schema versions, GraphQL endpoints, and IoT devices at runtime. Rather than static adapters, the middleware generates interoperability logic on-the-fly as services evolve. For multi-agent system builders, this addresses the integration brittleness problem where agents break when upstream APIs change — the middleware acts as a self-healing translation layer between agent tools and external services.