See the supported connectors for Application Integration.

Vertex AI - Predict task

The Vertex AI - Predict task lets you perform an online prediction. Online predictions are synchronous requests made to a model endpoint. You can use online predictions when making requests in response to application inputs or when you require timely inferences.

Vertex AI is a Google Cloud service that allows you to train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications.

Before you begin

Ensure that you perform the following tasks in your Google Cloud project before configuring the Vertex AI - Predict task:

  1. Enable the Vertex AI API (

    Enable the Vertex AI API

  2. Deploy the model resource to the endpoint.
  3. Create an authentication profile. Application Integration uses an authentication profile to connect to an authentication endpoint for the Vertex AI - Predict task.
  4. Ensure that VPC Service Controls is NOT setup for Application Integration in your Google Cloud project.

Configure the Vertex AI - Predict task

  1. In the Google Cloud console, go to the Application Integration page.

    Go to Application Integration

  2. In the navigation menu, click Integrations.

    The Integrations page appears listing all the integrations available in the Google Cloud project.

  3. Select an existing integration or click Create integration to create a new one.

    If you are creating a new integration:

    1. Enter a name and description in the Create Integration pane.
    2. Select a region for the integration.
    3. Select a service account for the integration. You can change or update the service account details of an integration any time from the Integration summary pane in the integration toolbar.
    4. Click Create.

    This opens the integration in the integration editor.

  4. In the integration editor navigation bar, click Tasks to view the list of available tasks.
  5. Click and place the Vertex AI - Predict element in the integration editor.
  6. Click the Vertex AI - Predict element on the designer to view the Vertex AI - Predict task configuration pane.
  7. Go to Authentication, and select an existing authentication profile that you want to use.

    Optional. If you have not created an authentication profile prior to configuring the task, Click + New authentication profile and follow the steps as mentioned in Create a new authentication profile.

  8. Go to Task Input, and configure the displayed inputs fields using the following Task input parameters table.

    Changes to the inputs fields are saved automatically.

Task input parameters

The following table describes the input parameters of the Vertex AI - Predict task:

Property Data type Description
Region String Model endpoint location. For example: us - United States.
ProjectsId String Your Google Cloud project ID.
EndpointString The name of the endpoint requested to serve the prediction.
Request JSON See request JSON structure.

Task output

The Vertex AI - Predict task returns a response containing the prediction.

Error handling strategy

An error handling strategy for a task specifies the action to take if the task fails due to a temporary error. For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see Error handling strategies.

What's next