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OpenAI added sandboxing and new tools to its Agents SDK to help businesses build AI agents that can work in a more controlled, safer way.
In short: OpenAI updated its Agents SDK, adding features that let companies run AI “agents” in more controlled environments and test them more safely.
OpenAI announced updates to its Agents SDK. An SDK is a set of building blocks that developers use to make software faster, like a ready-made toolkit.
The update focuses on “agents,” which are AI programs that can carry out tasks for you across tools and files, often in multiple steps. Think of an agent like an assistant who can open documents, run a checklist, and report back, instead of only answering a question.
One new feature is “sandboxing.” This lets an agent do its work inside a controlled computer space, like letting a guest use a locked spare room instead of giving them keys to your whole house. OpenAI says this matters because agents can sometimes behave in unexpected ways, and running them without limits can be risky.
OpenAI also added what it calls a “harness” for its most advanced models. In simple terms, this is extra software around the AI that helps it use approved tools, access files inside a workspace, and be tested before wider use.
OpenAI said the new sandbox and harness features will launch first for Python, a common programming language. TypeScript support is planned for later. The updates are available through OpenAI’s API, with standard pricing.
More businesses want AI systems that do real work, not just chat. Guardrails like sandboxing can help companies limit mistakes, protect sensitive systems, and feel more comfortable letting AI handle longer, multi-step tasks.
Source: TechCrunch AI