Luma Labs
Use Luma Labs with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('luma-labs/acme-luma-labs');
Use Luma Labs in apps and agents
Generate images and videos, and manage reusable media files.
Read the Luma Labs developer docs(opens in new tab)Why use Vercel Connect with Luma Labs?
Credentials on demand
Request Luma Labs credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Luma Labs access behind a reusable connector controlled by your team.
Centralized credential management
Manage Luma Labs credentials in one place and retrieve them through a consistent runtime API.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use Luma Labs with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Luma Labs to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Luma Labs connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create luma-labs --name acme-luma-labsvercel env pullRequest Luma Labs credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('luma-labs/acme-luma-labs');
