Google Vertex AI

Run predictions and generate text using models on Google Cloud Vertex AI. In Appbricx, your workflows and server functions call it by name once it is connected.

Connect Google Vertex AIFull reference

What you can do

3 actions, each one call from a workflow or a server function. Triggers come from your app: a row changing, a schedule or a webhook.

  • Generate Contentgenerate_content
    Call a Gemini model on Vertex AI to generate a text response.
  • Generate Imagegenerate_image
    Generate an image from a text prompt using Google Imagen models on Vertex AI.
  • Custom API Callcustom_api_call
    Make a custom API call to a specific endpoint

Set it up

About two minutes, once per project or once for the whole workspace.

  1. Open Integrations in the builder

    Backend panel, Integrations tab, then Google Vertex AI. To connect it for every project, use Workspace settings, Integrations.

  2. Sign in to Google Vertex AI

    You sign in to Google Vertex AI and approve access. Appbricx keeps the tokens, encrypted, and refreshes them.

    • https://www.googleapis.com/auth/cloud-platform

    This uses an OAuth app: the platform's, or your own from the admin panel, and you can bring your own credentials.

  3. Call an action

    From a workflow, by integration id and action name. The call answers with success, output and, when it fails, the reason.

    Workflow
    // .workflow.js (native ctx)
export async function run(ctx) {
  const res = await ctx.integrations.invoke("google_vertexai", "generate_content", {
    "location": "<location>",
    "model": "<model>",
    "userMessage": "<user message>"
  });
  if (!res.success) throw new Error(res.error);
  ctx.log.info("Google Vertex AI answered", { output: res.output });
}

Google Vertex AI and its logo are trademarks of their owner, shown only to identify the service this integration connects to. Their use does not imply endorsement by, or affiliation with, that company.

Connect Google Vertex AI once. Every workflow can use it.

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