Google Gemini v2.0.0

About the connector

Google Gemini is a conversational AI chatbot, based initially on the LaMDA family of large language models and later the PaLM LLM.

This document provides information about the Google Gemini Connector, which facilitates automated interactions, with a Google Gemini server using FortiSOAR™ playbooks. Add the Google Gemini Connector as a step in FortiSOAR™ playbooks and perform automated operations with Google Gemini.

NOTE: This connector was previously known as Google Bard. For previous versions of this connector, refer to Google Bard connector documentation.

Version information

Connector Version: 2.0.0

FortiSOAR™ Version Tested on: 7.6.1-5275

Google Gemini API Version Tested On: v1beta2

Authored By: Fortinet

Certified: Yes

Release Notes for version 2.0.0

Following enhancements have been made to the Google Gemini connector in version 2.0.0:

• The connector has been renamed from Google Bard to Google Gemini.
• The connector logo has been updated.

Installing the connector

Use the Content Hub to install the connector. For the detailed procedure to install a connector, click here.

You can also use the yum command as a root user to install the connector:

yum install cyops-connector-google-bard

Prerequisites to configuring the connector

• You must have the credentials of Google Gemini server to connect and perform automated operations.
• The FortiSOAR™ server should have outbound connectivity to port 443 on the Google Gemini server.

Minimum Permissions Required

• Not applicable

Configuring the connector

For the procedure to configure a connector, click here

Configuration parameters

In FortiSOAR™, on the Connectors page, click the Google Gemini connector row (if you are in the Grid view on the Connectors page) and in the Configurations tab enter the required configuration details:

Actions supported by the connector

The following automated operations can be included in playbooks and you can also use the annotations to access operations:

operation: Get All Model List

Input parameters

Output

The output contains the following populated JSON schema:

{
    "models": [
        {
            "name": "",
            "topK": "",
            "topP": "",
            "version": "",
            "description": "",
            "displayName": "",
            "temperature": "",
            "inputTokenLimit": "",
            "outputTokenLimit": "",
            "supportedGenerationMethods": []
        }
    ],
    "nextPageToken": ""
}

operation: Get Model Details

Input parameters

Output

The output contains the following populated JSON schema:

{
    "name": "",
    "topK": "",
    "topP": "",
    "version": "",
    "description": "",
    "displayName": "",
    "temperature": "",
    "inputTokenLimit": "",
    "outputTokenLimit": "",
    "supportedGenerationMethods": []
}

operation: Generate Text

Input parameters

Output

The output contains the following populated JSON schema:

{
    "candidates": [
        {
            "output": "",
            "safetyRatings": [
                {
                    "category": "",
                    "probability": ""
                }
            ]
        }
    ]
}

operation: Generate Embedding

Input parameters

Output

The output contains the following populated JSON schema:

{
    "embedding": {
        "value": []
    }
}

operation: Count Message Token

Input parameters

Output

The output contains the following populated JSON schema:

{
    "tokenCount": ""
}

operation: Generate Message

Input parameters

Output

The output contains the following populated JSON schema:

{
    "messages": [
        {
            "author": "",
            "content": ""
        }
    ],
    "candidates": [
        {
            "author": "",
            "content": ""
        }
    ]
}

Included playbooks

The Sample - Google Gemini - 2.0.0 playbook collection comes bundled with the Google Gemini connector. These playbooks contain steps using which you can perform all supported actions. You can see bundled playbooks in the Automation > Playbooks section in FortiSOAR™ after importing the Google Gemini connector.

• Count Message Token
• Generate Embedding
• Generate Message
• Generate Text
• Get All Model List
• Get Model Details

Note: If you are planning to use any of the sample playbooks in your environment, ensure that you clone those playbooks and move them to a different collection since the sample playbook collection gets deleted during connector upgrade and delete.