Gemini

The Gemini AI Connector provides a suite of AI-powered operations using Google's Gemini API.

Overview

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Gemini is a suite of AI-powered operations using Google's Gemini API.

Authentication

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Within the builder, click on the Gemini connector to display the connector properties panel. Select the Auth tab and click on the New authentication button.

In the Tray.io authentication pop-up modal name your authentication in a way that will quickly identify it within a potentially large list. For example whether it is a Sandbox or Production auth, etc.

Consider who/ how many people will need access to this authentication when choosing where to create this authentication ('Personal' vs 'Organisational').

The next page asks you for your API Key credentials.

To get these fields, head to the Gemini dashboard. Navigate to the Google AI Studio found here: https://aistudio.google.com/apikey.

To get the API Key click the Create API Key button.

You can then copy the API key from the popup and navigate back to the Tray.io Authentication panel.

Once you have added these fields to your Tray.io authentication pop-up window click the Create authentication button. 

Your connector authentication setup should now be complete. Please run the simplest operation available to test and make sure you can retrieve data as expected.

Available Operations

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The examples below show one or two of the available connector operations in use.

Please see the Full Operations Reference at the end of this page for details on all available operations for this connector.

Example Usage

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[Reference docs: Accelevents and Fullstory ]

Below is an example of a way in which you could potentially use the Gemini connector, to create text embeddings.

The overall logic of the workflow is:

1. Setup using a manual trigger and add a File Helper step

2. Use the Create file from URL operation and set the input to a file URL

3. Add a Gemini step and use the Analyze Image operation

4. Use a JSON path to the File Helper step output for the Image File input

5. Run the workflow to see generated the image analysis

Your completed workflow should look similar to this:

Step-by-step Explanation

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