Original sourceDiffVibe
Summary
OpenAI's Responses API has supported a full computer environment since GPT-5.2, for use by coding agents. Key points include: Shell-based execution, where the model proposes commands and executes them in a managed container, supporting Go, Java, NodeJS, etc. via Unix tools, not limited to Python; p…
Key points
- Developers no longer need to build their own sandbox execution layer to let agents run real code and maintain context consistency across long tasks.
- Building the execution environment, state compression, and multi-command coordination into the API will greatly lower the barriers and operational costs of building agent products.
- Teams can save the engineering effort of building their own containers and state management, but must pay attention to output caps and the resource costs of parallel execution, and retest the stability of long tasks.
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