Google Gemini Connector

Source API Docs API Changelog Connector Changelog

Description

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

key: apiKeyConnection

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

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

Configure the Connection

Enter the API Key value into the connection configuration

Input	Notes	Example
API Key	The Google AI Studio API key for authentication. Generate API keys here.	AIza...

Service Account

key: vertexAIConnection

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

Navigate to the Google Cloud Console and open the IAM & Admin section
Create a Service Account (or use an existing one)
Assign the following roles to the Service Account:
- Vertex AI User or Vertex AI Administrator
- Storage Object Viewer
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.
Note the Project ID from the top section of the console (click the project selector to display all projects and their IDs)
Identify the target region by navigating to the Vertex AI Dashboard in the console
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	Notes	Example
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.
Project ID	The Google Cloud project ID associated with the Vertex AI API.	my-project-123
Region	The region to use for API requests. See available regions.	us-central1

Data Sources

Select File

Select a file from the list of available files. | key: selectFile | type: picklist

Input	Notes	Example
Connection	The Google Gemini connection to use.

Example Payload for Select File⤓

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Select Model

Select a model from the list of available models. | key: selectModel | type: picklist

Input	Notes	Example
Connection	The Google Gemini connection to use.

Example Payload for Select Model⤓

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Actions

Delete File

Deletes a file from Google Gemini. | key: deleteFile

Input	Notes	Example
Connection	The Google Gemini connection to use.
File Name	The unique resource name of the file to delete from the service.	files/abc123def456

Example Payload for Delete File⤓

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Generate Image

Generates an image using the Google Generative AI (Gemini) model. | key: generateImage

Input	Notes	Example
Connection	The Google Gemini connection to use.
Extra Parameters	Additional parameters to include in the request as key-value pairs.	{"key": "value"}
Image Settings	Output configuration for image generation including count, language, and aspect ratio.
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').	gemini-pro
Prompt	Text prompt that typically describes the images to output.	Write a short story about a robot learning to paint

Example Payload for Generate Image⤓

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Generate Text

Sends a prompt to the model and returns a generated text response. | key: generateText

Input	Notes	Example
Connection	The Google Gemini connection to use.
Extra Parameters	Additional parameters to include in the request as key-value pairs.	{"key": "value"}
Generation Config	Sampling parameters and safety settings for controlling model output.
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').	gemini-pro
Prompt	The text prompt to generate a response for.	Write a short story about a robot learning to paint

Example Payload for Generate Text⤓

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Generate Video

Generates a video using the Google Generative AI (Gemini) model. | key: generateVideo

Input	Notes	Example
Connection	The Google Gemini connection to use.
Extra Parameters	Additional parameters to include in the request as key-value pairs.	{"key": "value"}
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').	gemini-pro
Prompt	Text prompt that typically describes the video to output.	Write a short story about a robot learning to paint
Video Settings	Output configuration for video generation including frame rate, count, resolution, and duration.

Example Payload for Generate Video⤓

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Get File

Retrieves file information from Google Gemini. | key: getFile

Input	Notes	Example
Connection	The Google Gemini connection to use.
File Name	The unique resource name assigned by the API to identify the file.	files/abc123def456

Example Payload for Get File⤓

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Get Model Info

Retrieves detailed information about a specific model from the Google Generative AI API. | key: getModelInfo

Input	Notes	Example
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').	gemini-pro

Example Payload for Get Model Info⤓

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List Files

Lists all files in the current project from Google Gemini. | key: listFiles

Input	Notes	Example
Connection	The Google Gemini connection to use.
Fetch All	When true, automatically fetches all pages of results using pagination.	false
Pagination	Page size and page token for paginating through results.

Example Payload for List Files⤓

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List Models

Retrieves a list of available models from the Google Generative AI API. | key: listModels

Input	Notes	Example
Connection	The Google Gemini connection to use.
Extra Parameters	Additional parameters to include in the request as key-value pairs.	{"key": "value"}
Fetch All	When true, automatically fetches all pages of results using pagination.	false
Filter	A filter expression to narrow down the results returned by the API.	name:gemini-1.5-pro
Pagination	Page size and page token for paginating through results.

Example Payload for List Models⤓

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Send Message

Sends a message to the chat. Supports providing historical messages to continue a conversation. | key: sendMessage

Input	Notes	Example
Connection	The Google Gemini connection to use.
Extra Parameters	Additional parameters to include in the request as key-value pairs.	{"key": "value"}
Generation Config	Sampling parameters, safety settings, and conversation history for controlling model output.
Model Name	The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision').	gemini-pro
Prompt	The text prompt to send as a message to the model.	Write a short story about a robot learning to paint

Example Payload for Send Message⤓

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Upload File

Uploads a file asynchronously to the Gemini API. | key: uploadFile

Input	Notes	Example
Connection	The Google Gemini connection to use.
Display Name	A human-readable label for the file shown in the Google AI interface.	test.txt
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.	files/abc123def456

Example Payload for Upload File⤓

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Changelog

2026-07-21

Restructured action inputs into structured objects for an improved user experience.

Send Message and Generate Text group their optional generation parameters into Generation Config
Generate Image groups its optional image parameters into Image Settings
Generate Video groups its optional video parameters into Video Settings
List Files and List Models group their pagination inputs into Pagination; Fetch All stays a top-level toggle

2026-04-30

Updated spectral version

2026-04-06

Various modernizations and documentation updates

2026-02-26

Added inline data source for files to enable dynamic dropdown selection

2025-06-04

Added Vertex AI credential handling for improved authentication reliability

2025-05-23

Initial release of the Google Gemini component for text generation and analysis

Google Gemini Connector

Description​

API Documentation​

Connections​

API Key​

Prerequisites​

Setup Steps​

Configure the Connection​

Service Account​

Prerequisites​

Setup Steps​

Configure the Connection​

Data Sources​

Select File​

Select Model​

Actions​

Delete File​

Generate Image​

Generate Text​

Generate Video​

Get File​

Get Model Info​

List Files​

List Models​

Send Message​

Upload File​

Changelog​

2026-07-21​

2026-04-30​

2026-04-06​

2026-02-26​

2025-06-04​

2025-05-23​

Description

API Documentation

Connections

API Key

Prerequisites

Setup Steps

Configure the Connection

Service Account

Prerequisites

Setup Steps

Configure the Connection

Data Sources

Select File

Select Model

Actions

Delete File

Generate Image

Generate Text

Generate Video

Get File

Get Model Info

List Files

List Models

Send Message

Upload File

Changelog

2026-07-21

2026-04-30

2026-04-06

2026-02-26

2025-06-04

2025-05-23