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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
- 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 | 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
-
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
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 | 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. | |
| Image Settings | Output configuration for image generation including count, language, and aspect ratio. | |
| 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'). | |
| Generation Config | Sampling parameters and safety settings for controlling model output. | |
| 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. | |
| Video Settings | Output configuration for video generation including frame rate, count, resolution, and duration. | |
| 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 |
| Pagination | Page size and page token for paginating through results. | |
| 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 |
| Pagination | Page size and page token for paginating through results. | |
| 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. | |
| Model Name | The name of the model to get information about (e.g., 'gemini-pro', 'gemini-pro-vision'). | |
| Generation Config | Sampling parameters, safety settings, and conversation history for controlling model output. | |
| 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. | |
| Chat History | The previous messages in the conversation, used to provide context to the model for continuity. | |
| 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. |