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CAMB.AI

Use CAMB.AI 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 CAMB.AI

    $ vercel connect create camb-ai --name acme-camb-ai
  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('camb-ai/acme-camb-ai');

Use CAMB.AI in apps and agents

Dub, transcribe, and translate audio, and generate speech with AI.

Why use Vercel Connect with CAMB.AI?

  • Credentials on demand

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

  • Access for the right subject

    Keep app-scoped CAMB.AI access behind a reusable connector controlled by your team.

  • Centralized credential management

    Manage CAMB.AI 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 CAMB.AI with your stack

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

Add CAMB.AI to an existing Vercel application with the Connect SDK.

  1. Install the Connect SDK

    npm install @vercel/connect
  2. Create the CAMB.AI connector

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

    vercel link
    vercel connect create camb-ai --name acme-camb-ai
    vercel env pull
  3. Request CAMB.AI credentials

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