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ModelsLab

Use ModelsLab 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 ModelsLab

    Via CLIVercel Dashboard(opens in new tab)
    $ vercel connect create modelslab --name acme-modelslab

  3. Use 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('modelslab/acme-modelslab', {
      subject: { type: 'user', id: userId },
    });

Use ModelsLab in apps and agents

Generate and edit images, video, speech, music, and sound with AI models.

Read the ModelsLab developer docs(opens in new tab)

Why use Vercel Connect with ModelsLab?

  • Credentials on demand

    Request ModelsLab credentials only when your application or agent needs them instead of copying secrets into application code.

  • Access for the right subject

    Request user-authorized ModelsLab access so actions follow the identity and permissions of the person using your application.

  • Centralized credential management

    Manage ModelsLab 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 ModelsLab with your stack

Follow a complete setup for the Connect SDK or a supported agent framework.

Add ModelsLab to an existing Vercel application with the Connect SDK.

  1. Install the Connect SDK

    npm install @vercel/connect

  2. Create the ModelsLab connector

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

    vercel link
    vercel connect create modelslab --name acme-modelslab
    vercel env pull

  3. Request ModelsLab credentials

    app/api/route.ts
    import { getToken } from '@vercel/connect';
    

    const userId = 'user_123';
    

    const token = await getToken('modelslab/acme-modelslab', {
      subject: { type: 'user', id: userId },
    });

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