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Apply cost and execution controls to AI agent requests
Give AI agents an API for running code, installing dependencies, and producing downloadable files.

Agent Sandbox provides a hosted execution environment for applications whose AI agents need to run code. Developers upload input files, execute Python or shell commands, and retrieve generated artifacts through an API. Dependencies can be specified for a run so the environment includes the libraries and tools a task needs.
Typical uses include analyzing a dataset, creating charts and reports, testing generated code, or adding a code interpreter to a conversational product. The runtime can be connected as a tool within an existing agent framework. A dashboard tracks credit balance and usage, with compute charged by execution time and output storage billed separately.
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