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Apiframe

Use Apiframe with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.

Create Connector
  1. Install the skill

    $ npx skills add vercel/vercel-plugin --skill vercel-connect
  2. Connect to Apiframe

    $ vercel connect create apiframe --name acme-apiframe
  3. Use 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.

  1. Install the Connect SDK

    npm install @vercel/connect
  2. Create the Apiframe connector

    Run these commands from the project that will use the connection.

    vercel link
    vercel connect create apiframe --name acme-apiframe
    vercel env pull
  3. Request Apiframe credentials

    app/api/route.ts
    import { getToken } from '@vercel/connect';
    const token = await getToken('apiframe/acme-apiframe');
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