Google Gemini Connector

Google Gemini is a family of advanced multimodal AI models developed by Google DeepMind.

This component allows you to generate text, images, and videos, manage uploaded files, and list available models using the Google Generative AI API.

API Documentation

This component was built using the Google Generative AI API Reference.

Connections

Google Gemini API

Connect to Google Generative AI (Gemini) using an API key.

Create a connection of type API Key.

To authenticate with Google Gemini using an API key, generate a key from Google AI Studio.

Prerequisites

• A Google account with access to Google AI Studio

Setup Steps

1. Navigate to Google AI Studio API Keys
2. Click Create API Key and select a Google Cloud project
3. Copy the generated API key

Configure the Connection

• Enter the API Key value into the connection configuration

Input	Comments	Default
API Key	Your Google AI Studio API key. Generate API keys here.

Vertex AI API

Connect to Google Generative AI (Gemini) using Vertex AI.

Create a connection of type Service Account.

To authenticate with Google Gemini via Vertex AI, a Google Cloud service account with the appropriate roles is required.

Prerequisites

• A Google Cloud project with billing enabled
• Access to the Google Cloud Console
• The Vertex AI API enabled in the project

Setup Steps

1. Navigate to the Google Cloud Console and open the IAM & Admin section

2. Create a Service Account (or use an existing one)

3. Assign the following roles to the Service Account:

   • Vertex AI User or Vertex AI Administrator
   • Storage Object Viewer

4. Generate a Service Account Key:

   • Select the Service Account, navigate to the Keys tab, and click Add Key to create a new key
   • Download the JSON file containing the key information
   warning

   The downloaded key file contains sensitive credentials. Store it securely and do not expose it in version control.

5. Note the Project ID from the top section of the console (click the project selector to display all projects and their IDs)

6. Identify the target region by navigating to the Vertex AI Dashboard in the console

7. Enable the Vertex AI API by navigating to APIs & Services > Library, searching for "Vertex AI API", and clicking Enable

Configure the Connection

• Enter the Client Email using the Service Account email address
• Enter the Private Key from the downloaded JSON key file
• Enter the Project ID of the Google Cloud project
• Enter the Region for API requests (e.g., us-central1). Refer to the available regions for supported values

Input	Comments	Default
Project ID	Your Google Cloud project ID.
Region	The region to use for API requests. Get your region here.
Client Email	The email address of the client you would like to connect to.
Private Key	The private key of the client you would like to connect to.

Actions

Delete File

Deletes a file from the service.

Input	Comments	Default
File Name	The name of the file to delete.
Connection	Select a Google Gemini connection.

Generate Image

Generates an image using the Google Generative AI (Gemini) model.

Input	Comments	Default
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').
Prompt	Text prompt that typically describes the images to output.
Number of Images	Number of images to generate.
Language	Language of the generated content.
Aspect Ratio	Aspect ratio of the generated media.
Extra Parameters	Extra parameters to pass to the API.
Connection	Select a Google Gemini connection.

Generate Text

Send a prompt to the model and return a generated text response.

Input	Comments	Default
Prompt	The text prompt to generate a response for.
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').
Temperature	Controls randomness in the output. Higher values (e.g., 0.8) make output more random, lower values (e.g., 0.2) make it more focused and deterministic.
Max Output Tokens	Maximum number of tokens to generate in the response.
Top K	Limits token selection to the K most likely next tokens.
Top P	Limits token selection to tokens with cumulative probability less than P.
Safety Settings	JSON string defining safety settings for content generation.
Extra Parameters	Extra parameters to pass to the API.
Connection	Select a Google Gemini connection.

Generate Video

Generates a video using the Google Generative AI (Gemini) model.

Input	Comments	Default
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').
Prompt	Text prompt that typically describes the video to output.
FPS	FPS of the generated video.
Number of Videos	Number of videos to generate.
Person Generation	Whether allow to generate person videos, and restrict to specific ages.
Resolution	Resolution of the generated video.
Aspect Ratio	Aspect ratio of the generated media.
Duration Seconds	Duration of the clip for video generation in seconds.
Extra Parameters	Extra parameters to pass to the API.
Connection	Select a Google Gemini connection.

Get File

Retrieves the file information from the service.

Input	Comments	Default
File Name	The name of the file to get.
Connection	Select a Google Gemini connection.

Get Model Info

Retrieves detailed information about a specific model from the Google Generative AI API.

Input	Comments	Default
Connection	Select a Google Gemini connection.
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').

List Files

Lists all current project files from the service.

Input	Comments	Default
Fetch All	If true, fetch all items.	false
Page Size	The number of items to return per page.
Page Token	The page token to return.
Connection	Select a Google Gemini connection.

List Models

Retrieves a list of available models from the Google Generative AI API.

Input	Comments	Default
Fetch All	If true, fetch all items.	false
Page Size	The number of items to return per page.
Page Token	The page token to return.
Filter	The filter to apply to the list.
Extra Parameters	Extra parameters to pass to the API.
Connection	Select a Google Gemini connection.

Send Message

Sends a message to the chat. Optionally, historical messages can be provided to continue the chat.

Input	Comments	Default
Prompt	The prompt you want to ask to the model.
Chat History	JSON string containing the chat history, you can use this parameter to give the model a context of the conversation.
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').
Temperature	Controls randomness in the output. Higher values (e.g., 0.8) make output more random, lower values (e.g., 0.2) make it more focused and deterministic.
Max Output Tokens	Maximum number of tokens to generate in the response.
Top K	Limits token selection to the K most likely next tokens.
Top P	Limits token selection to tokens with cumulative probability less than P.
Safety Settings	JSON string defining safety settings for content generation.
Extra Parameters	Extra parameters to pass to the API.
Connection	Select a Google Gemini connection.

Upload File

Uploads a file asynchronously to the Gemini API.

Input	Comments	Default
File	The file to upload.
File Name	The name of the file to get.
Display Name	The display name of the file.
Connection	Select a Google Gemini connection.