OpenAI Updates Agents SDK with Native Sandbox Execution

OpenAI has released a major update to its Agents SDK, introducing robust new features aimed at making AI agents more secure, reliable, and capable for enterprise deployment. The highlight of the update is the introduction of native sandbox execution and a model-native harness, tools designed for building sophisticated, long-running autonomous agents. The native sandbox execution environment is a critical safety feature. It allows developers to run agentic AI within a tightly controlled, isolated space where its actions can be monitored and contained. This is essential for agents that need to interact with files, execute code, or use external tools, as it prevents unintended side effects on the host system and enhances overall security. Coupled with the new model-native harness, which provides a more integrated and efficient framework for agent logic, these updates focus on production readiness. They empower developers to build agents that can operate reliably over extended periods, managing complex workflows that involve multiple steps and tools. This move signals OpenAI's commitment to advancing agentic AI beyond simple chatbots and towards autonomous systems that can be safely trusted with significant tasks in business environments, paving the way for a new wave of automated, intelligent enterprise applications.