> ## 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.

# Modal

> Run code evaluators in Modal's serverless container platform.

<div style={{ display: 'flex', alignItems: 'center', gap: '1.5rem', marginTop: '1.5rem', marginBottom: '1.5rem' }}>
  <img src="https://storage.googleapis.com/arize-phoenix-assets/assets/svgs/modal.svg" alt="Modal" style={{ height: '112px', flexShrink: 0 }} />

  <div>
    [**Modal**](https://modal.com/) runs each Python evaluation in a fresh, serverless container on its own cloud. Cold starts are typically under a second, and timeouts can be generous.
  </div>
</div>

## Setup

1. **Create a Modal account** at [modal.com](https://modal.com/) if you don't already have one.
2. **Create a token pair** in the Modal dashboard. Modal authenticates with two values — a token ID and a token secret — and gives you both when you create the pair.
3. **Add the credentials to Phoenix.** Open [Settings → Sandboxes](/docs/phoenix/settings/sandboxes), find the **Modal** row, click the gear icon, and paste the values as `MODAL_TOKEN_ID` and `MODAL_TOKEN_SECRET`. You can also set them as environment variables on the Phoenix server instead.
4. **Create a configuration.** In **Sandbox Configurations**, click **New Sandbox**, pick **Modal**, set the timeout and any environment variables or dependencies, and save.