LiteLLM as a Control Plane for Scalable Intelligent Document Processing

Abstract— Intelligent Document Processing (IDP) systems leveraging Large Language Models (LLMs) frequently demonstrate impressive extraction accuracy in prototype environments, yet encounter significant operational failures when deployed at scale. These failures are rarely attributable to extraction capability itself; rather, they stem from systemic production concerns including API rate limiting,…