Skip to main content

Documentation Index

Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Vercel Sandbox
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.

Setup

Vercel Sandbox needs three values:
ValueWhat it isWhere to find it
VERCEL_TOKENA personal access tokenAccount Settings → Tokens
VERCEL_PROJECT_IDThe project’s resource IDProject Settings → General
VERCEL_TEAM_IDThe team’s resource IDhttps://vercel.com/teams/<your-team>/settings#team-id
Then:
  1. Add the credentials to Phoenix. Open 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.