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

API Key

Authenticate requests to Google 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	The Google AI Studio API key for authentication. Generate API keys here.

Service Account

Authenticate requests to Google Gemini via Vertex AI using a service account.

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	The Google Cloud project ID associated with the Vertex AI API.
Region	The region to use for API requests. See available regions.
Client Email	The service account email address used to authenticate with Google Cloud.
Private Key	The private key from the service account credentials used for authentication.

Actions

Delete File

Deletes a file from Google Gemini.

Input	Comments	Default
File Name	The unique resource name of the file to delete from the service.
Connection	The Google Gemini connection to use.

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	The total count of images the model should produce per request.
Language	The locale used to interpret the prompt and generate content.
Aspect Ratio	The width-to-height proportion for the generated media output (e.g., 16:9, 1:1).
Extra Parameters	Additional parameters to include in the request as key-value pairs.
Connection	The Google Gemini connection to use.

Generate Text

Sends a prompt to the model and returns 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	The safety threshold configuration for content generation. Each entry specifies a harm category and its blocking threshold.
Extra Parameters	Additional parameters to include in the request as key-value pairs.
Connection	The Google Gemini connection to use.

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	The frames per second for the generated video output.
Number of Videos	The total count of videos the model should produce per request.
Person Generation	Controls whether the model can generate videos containing people and restricts age groups.
Resolution	The pixel dimensions (width x height) for the generated video output.
Aspect Ratio	The width-to-height proportion for the generated media output (e.g., 16:9, 1:1).
Duration Seconds	The length of the generated video clip in seconds.
Extra Parameters	Additional parameters to include in the request as key-value pairs.
Connection	The Google Gemini connection to use.

Get File

Retrieves file information from Google Gemini.

Input	Comments	Default
File Name	The unique resource name assigned by the API to identify the file.
Connection	The Google Gemini connection to use.

Get Model Info

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

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

List Files

Lists all files in the current project from Google Gemini.

Input	Comments	Default
Fetch All	When true, automatically fetches all pages of results using pagination.	false
Page Size	The maximum number of results to return per page.
Page Token	The pagination token from a previous request.
Connection	The Google Gemini connection to use.

List Models

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

Input	Comments	Default
Fetch All	When true, automatically fetches all pages of results using pagination.	false
Page Size	The maximum number of results to return per page.
Page Token	The pagination token from a previous request.
Filter	A filter expression to narrow down the results returned by the API.
Extra Parameters	Additional parameters to include in the request as key-value pairs.
Connection	The Google Gemini connection to use.

Send Message

Sends a message to the chat. Supports providing historical messages to continue a conversation.

Input	Comments	Default
Prompt	The text prompt to send as a message to the model.
Chat History	The previous messages in the conversation, used to provide context to the model for continuity.
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	The safety threshold configuration for content generation. Each entry specifies a harm category and its blocking threshold.
Extra Parameters	Additional parameters to include in the request as key-value pairs.
Connection	The Google Gemini connection to use.

Upload File

Uploads a file asynchronously to the Gemini API.

Input	Comments	Default
File	The file content to upload. This can be a file reference from a previous step.
File Name	The unique resource name assigned by the API to identify the file.
Display Name	A human-readable label for the file shown in the Google AI interface.
Connection	The Google Gemini connection to use.