OpenAI's latest Agents SDK update introduces native sandbox execution capabilities designed to isolate agent operations from the host system while maintaining full programmatic control over resource allocation and tool access. The sandbox implementation enforces strict process isolation, preventing agents from inadvertently corrupting system files or accessing unauthorized resources—a critical requirement for enterprise deployments where agents may process sensitive customer data or execute arbitrary code patterns. The architecture supports resource limits on computation time, memory allocation, and file system scope, with configurable constraints that allow developers to define precisely what an agent can access. Unlike previous approaches requiring manual containerization or third-party orchestration layers, this integration directly into the SDK eliminates friction points in the development lifecycle. The sandbox supports execution across multiple languages and runtime environments, reflecting the polyglot nature of modern development workflows where agents must interact with Python scripts, Node.js services, shell commands, and compiled binaries within controlled boundaries.