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This update enables any model on OpenRouter to execute system commands within isolated Linux containers and manage files via a dedicated API, effectively granting AI agents persistent shell access for complex server-side workflows. By allowing models to iterate on scripts based on real-time stdout/stderr feedback, this infrastructure shift moves advanced agentic behaviors from local execution to scalable cloud environments.

Sources coveringOpenRouter, Analytics Vidhya, NVIDIA, AWS

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Give any model a terminal and files

OpenRouterSeptember 8, 20266 min read

The shell server tool gives any model on OpenRouter a hosted Linux shell, and the Files API moves files in and out of it. Commands run in an isolated container, the model reads back stdout, stderr, and exit codes, and files the run writes can be downloaded afterward. Available today in beta on the Responses and Messages APIs.

Introducing the openrouter:shell server tool and the Files API: any model on OpenRouter can now run commands in a hosted Linux container. The Files API enables upload of files for models to work with and the download of outputs. Both are available today in beta. Shell and Files join our growing list of server tools, enabling you to create server-side agentic behaviors you can swap across models. For example, you can ask any model to search the web, write a script that turns the results into a chart, and run it entirely with server-side compute. Try it in the chatroom by turning on the shell tool, and read the shell, containers, and Files API guides for the API details. Sandbox…

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