> ## Documentation Index
> Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Vercel Sandbox

> Run code evaluators in ephemeral compute on Vercel's infrastructure.

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  <img src="https://storage.googleapis.com/arize-phoenix-assets/assets/svgs/vercel.svg" alt="Vercel Sandbox" className="invert-on-dark" style={{ height: '112px', flexShrink: 0 }} />

  <div>
    [**Vercel Sandbox**](https://vercel.com/docs/vercel-sandbox) runs each evaluation in ephemeral compute on Vercel's infrastructure, scoped to a specific Vercel team and project. It supports both Python and TypeScript evaluators.
  </div>
</div>

## Setup

Vercel Sandbox needs three values:

| Value               | What it is                | Where to find it                                               |
| :------------------ | :------------------------ | :------------------------------------------------------------- |
| `VERCEL_TOKEN`      | A personal access token   | [Account Settings → Tokens](https://vercel.com/account/tokens) |
| `VERCEL_PROJECT_ID` | The project's resource ID | Project Settings → General                                     |
| `VERCEL_TEAM_ID`    | The team's resource ID    | `https://vercel.com/teams/<your-team>/settings#team-id`        |

Then:

1. **Add the credentials to Phoenix.** Open [Settings → Sandboxes](/docs/phoenix/settings/sandboxes), find the **Vercel Sandbox** row, click the gear icon, and paste each value into the matching field. You can also set them as environment variables on the Phoenix server.
2. **Create a configuration.** In **Sandbox Configurations**, click **New Sandbox**, pick **Vercel Sandbox**, choose the language (Python or TypeScript), set the timeout and any environment variables or dependencies, and save.

For Vercel's full authentication walkthrough, see [Vercel Sandbox authentication](https://vercel.com/docs/vercel-sandbox/concepts/authentication).
