OpenAI introduced a major update to its Agents SDK on Tuesday, adding native sandbox execution and a model-native harness to improve security and stability for long-running agents. The new features allow developers to build agents that operate across multiple files and tools without compromising safety.
The sandbox execution environment isolates agent operations, preventing unauthorized access to system resources. This addresses a key limitation in earlier versions, where agents running for extended periods faced security risks. The model-native harness integrates directly with OpenAI’s models, enabling smoother interactions between agents and external tools.
Developers can now deploy agents that handle complex workflows, such as document processing or multi-step automation, with reduced risk of runtime failures. The update also includes improved error handling and logging, making it easier to debug agent behavior in production environments.
OpenAI stated the changes are part of its push to make agent development more reliable for enterprise use. The company emphasized that sandboxing ensures compliance with security policies while maintaining performance. The updated SDK is available immediately for registered developers.
Source: openai.com