Run AI-generated code on-demand with Code Sandboxes (new)
AI is supercharging app development for everyone, but we need a safe way to run untrusted, LLM-written code. We’re introducing Sandboxes ↗, which let your Worker run actual processes in a secure, container-based environment.
import { getSandbox } from "@cloudflare/sandbox";export { Sandbox } from "@cloudflare/sandbox";
export default { async fetch(request: Request, env: Env) { const sandbox = getSandbox(env.Sandbox, "my-sandbox"); return sandbox.exec("ls", ["-la"]); },};
exec(command: string, args: string[], options?: { stream?: boolean })
:Execute a command in the sandbox.gitCheckout(repoUrl: string, options: { branch?: string; targetDir?: string; stream?: boolean })
: Checkout a git repository in the sandbox.mkdir(path: string, options: { recursive?: boolean; stream?: boolean })
: Create a directory in the sandbox.writeFile(path: string, content: string, options: { encoding?: string; stream?: boolean })
: Write content to a file in the sandbox.readFile(path: string, options: { encoding?: string; stream?: boolean })
: Read content from a file in the sandbox.deleteFile(path: string, options?: { stream?: boolean })
: Delete a file from the sandbox.renameFile(oldPath: string, newPath: string, options?: { stream?: boolean })
: Rename a file in the sandbox.moveFile(sourcePath: string, destinationPath: string, options?: { stream?: boolean })
: Move a file from one location to another in the sandbox.ping()
: Ping the sandbox.
Sandboxes are still experimental. We're using them to explore how isolated, container-like workloads might scale on Cloudflare — and to help define the developer experience around them.
You can try it today from your Worker, with just a few lines of code. Let us know what you build.
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