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GPTBots

Use GPTBots 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 GPTBots

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

Use GPTBots in apps and agents

Build AI agents and manage conversations, knowledge, and usage analytics with GPTBots.

Read the GPTBots developer docs(opens in new tab)

Why use Vercel Connect with GPTBots?

  • Credentials on demand

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

  • Access for the right subject

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

  • Centralized credential management

    Manage GPTBots 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 GPTBots with your stack

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

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

  1. Install the Connect SDK

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

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

    vercel link
    vercel connect create gptbots --name acme-gptbots
    vercel env pull
  3. Request GPTBots credentials

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