Google Gemini connector and action

Important

This connector is being replaced by Elasticsearch inference endpoints and will be removed entirely in Elastic Stack 10.0 or in January 2028, whichever comes first. To configure access to an LLM provider, create an inference endpoint with the chat_completion task type. For steps that use your own provider account and API key, refer to External inference. To use models that Elastic hosts instead, refer to Elastic Managed LLMs.

Availability of this connector depends on your deployment and version:

  • You can no longer create new connectors of this type by selecting Create connector in Kibana. Existing connectors and their rule actions continue to work, but the Connectors page hides them by default. To show them, open Display options and set Deprecated to Show.
  • This connector is still available, but deprecated.

The Google Gemini connector uses axios to send a POST request to Google Gemini.

You can create connectors in Stack Management > Connectors.

Google Gemini connectors have the following configuration properties:

Name
The name of the connector.
API URL
The Google Gemini request URL.
Project ID
The project which has Vertex AI endpoint enabled.
Region
The GCP region where the Vertex AI endpoint enabled.
Default model

The GAI model for Google Gemini to use. Current support is for the Google Gemini models.

  • Defaults to gemini-2.5-pro.
  • Defaults to gemini-2.5-pro.
  • Defaults to gemini-1.5-pro-002. The model can be set on a per request basis by including a "model" parameter alongside the request body.
Credentials JSON
The GCP service account JSON file for authentication.

You can test connectors as you're creating or editing the connector in Kibana.

The Google Gemini actions have the following configuration properties.

Body

A stringified JSON payload sent to the Google Gemini invoke model API. For example:

{
  body: JSON.stringify({
        contents: [{
            role: user,
            parts: [{ text: 'Hello world!' }]
        }],
        generation_config: {
            temperature: 0,
            maxOutputTokens: 8192
        }
  })
}
Model
An optional string that overwrites the connector's default model.

Use the Action configuration settings to customize connector networking configurations, such as proxies, certificates, or TLS settings. You can set configurations that apply to all your connectors or use xpack.actions.customHostSettings to set per-host configurations.