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Before you begin

Depending on how the BYB ends up (AWS & Azure combo?), and depending on the deployment details discussion (although, could have 3 tabs), on the QS parent page, we could tell them to install Docker. Then, we'd have just the 1 BYB for all 3. Minor wrinkle: For the QS the CSP is only for the engine, but for the full install, it's for the engine and manager.That's fine b/c we are treating the QS as an exception to the normal install--and it's content makes clear how it's different.)

Prerequisites

Make sure you have the following:

  • A pay-as-you-go AWS or Azure account for deploying the engine

  • A GitHub or GitLab account for user authentication and storing project information

  • Docker installed on your machine

Create a GitHub or GitLab OAuth app

Create an OAuth app so that AI Unlimited can authorize your GitHub or GitLab account to store user and project information.

  1. Sign in to your Git repository.

  2. Create an OAuth app. See GitHub: Create an OAuth app or GitLab: Create an OAuth app.

    While registering the OAuth app, use these URLs.

    • Homepage URL:
      • If you are using the QuickStart, http://localhost:3000

      • For a demo or full installation, http://[ip_or_hostname]:[port]

    • Authorization callback URL: [Homepage URL]/auth/github/callback

    For GitLab, select the appropriate OAuth Scopes as defined in Authorized Applications.

  3. Copy and retain the Client ID and Client secret. You'll use them to authorize AI Unlimited to save user and project information.

Get engine deployment details

Any changes to make for the old UI? Keep both files - old (PPP, initially) and new (longer-term)

Come back to this after finishing setup.

When you set up AI Unlimited, you'll provide details for deploying the engine.

You can copy this template to get these details from your admin. Or, get them from your cloud service provider console or portal.

Subscribe to AI Unlimited

Subscribe on your cloud service provider's marketplace:

  • AWS (link)
  • Azure (link)