---
title: "Get AI Prediction"
slug: "get-ai-prediction"
tags: ["Google Vertex", "Gen AI"]
updated: 2025-12-09T00:29:09Z
published: 2025-12-09T00:29:09Z
canonical: "documentation.decisions.com/get-ai-prediction"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.decisions.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Get AI Prediction

| Step Details |
| --- |
| **Introduced in Version** | 9.14.0 |
| **Last Modified in Version** | 9.14.0 |
| **Location** | AI > Google Vertex |

The Get AI Prediction step provides predictions or inferences from a trained machine learning model deployed on the Google Vertex AI platform. It allows you to submit input data to the deployed model and receive predictions as output.

### Prerequisites

Refer to [Google Vertex AI](https://documentation.decisions.com/docs/ai-google-vertex) for setup instructions before using the step.

A [Project dependency](https://documentation.decisions.com/docs/project-dependencies) is also a requirement.[](https://documentation.decisions.com/docs/project-dependencies)

---

## Properties

#### [Settings]

| Property | Description | Data Type |
| --- | --- | --- |
| OverridePredictionParameters | When enabled, overrides default prediction parameters permitting custom parameters to be created. | Boolean |
| ModelName | Specifies the Vertex AI model to use for the prediction request. This field is a free-text input where users must enter a valid model identifier (e.g., gemini-1.5-pro). The model must exist and be accessible in the configured GCP project and region. | String |
| SetSpecificModel | When enabled, creates a new textbox allowing the selection of a specified AI model. | Boolean |

#### GCP Settings

| Property | Description | Data Type |
| --- | --- | --- |
| Specify GCP Settings | When enabled, creates a new box that, when edited, permits specific GCP selection. | Boolean |

#### Settings

| Property | Description | Data Type |
| --- | --- | --- |
| JSON Credentials | If there have been predefined JSON credentials established, those may be selected here | String |

#### Inputs

| Property | Description | Data Type |
| --- | --- | --- |
| Context | Optional background information that helps the model generate a more accurate prediction. | String |
| Examples | A list of input–output example pairs that demonstrate the desired behavior. These help the model understand how it should respond by providing structured reference patterns. | List |
| Messages | A list of conversational messages sent to the model. Each message contains an author (e.g., User, System, Assistant) and content. The model generates predictions based on these messages. | List |

#### Outputs

| Property | Description | Data Type |
| --- | --- | --- |
| Prediction Response | Model output | String |

![](https://cdn.document360.io/6ef8bcc1-6489-4486-9ad1-83acff7e5df0/Images/Documentation/2025-07-31_09h44_01.png)

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