Apiframe
Use Apiframe 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
Apiframe$ vercel connect create apiframe --name acme-apiframeUse its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('apiframe/acme-apiframe');
Use Apiframe in apps and agents
Generate and manage AI images, videos, music, and media assets.
Read the Apiframe developer docs(opens in new tab)Why use Vercel Connect with Apiframe?
Credentials on demand
Request Apiframe credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Apiframe access behind a reusable connector controlled by your team.
Centralized credential management
Manage Apiframe 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 Apiframe with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Apiframe to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Apiframe connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create apiframe --name acme-apiframevercel env pullRequest Apiframe credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('apiframe/acme-apiframe');