Vellm
Use Vellm 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
Vellm$ vercel connect create vellm --name acme-vellmUse its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('vellm/acme-vellm', {subject: { type: 'user', id: userId },});
Use Vellm in apps and agents
Create template-based AI videos from photos and track video jobs.
Read the Vellm developer docs(opens in new tab)Why use Vercel Connect with Vellm?
Credentials on demand
Request Vellm credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized Vellm access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage Vellm 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 Vellm with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Vellm to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Vellm connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create vellm --name acme-vellmvercel env pullRequest Vellm credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('vellm/acme-vellm', {subject: { type: 'user', id: userId },});