> ## Documentation index
> Fetch the complete documentation index at: https://arize.com/llms.txt
> Ask it with GET https://arize.com/ask?q=<keywords or question>. Short keywords rank best.
> Use these to discover all available pages before exploring further.

# Vercel Sandbox

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

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[**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.

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## 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).