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