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Linguin AI

Use Linguin 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 Linguin AI

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

Use Linguin AI in apps and agents

Linguin AI detects languages and scores English text for profanity through its direct v2 API.

Read the Linguin AI developer docs(opens in new tab)

Why use Vercel Connect with Linguin AI?

  • Credentials on demand

    Request Linguin 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 Linguin AI access behind a reusable connector controlled by your team.

  • Centralized credential management

    Manage Linguin 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 Linguin AI with your stack

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

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

  1. Install the Connect SDK

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

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

    vercel link
    vercel connect create linguin-ai --name acme-linguin-ai
    vercel env pull
  3. Request Linguin AI credentials

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