Gemini is Google's AI model family that can be accessed directly through the Google AI Studio API.

Before you begin#

Make sure that your Google Cloud account has a project with the Gemini API enabled.

Configuring Gemini#

1. Get your API key from Google AI Studio.

2. Create a Kubernetes Secret that stores the API key.

   kubectl create secret generic kagent-gemini -n kagent --from-literal GOOGLE_API_KEY=<your_api_key>

3. Create a ModelConfig resource using the Gemini provider.

You can find out the latest model names and capabilities on the Gemini API docs. Once you have chosen a model, replace the model field with the name such as gemini-2.5-pro.

apiVersion: kagent.dev/v1alpha2
kind: ModelConfig
metadata:
  name: gemini-model-config
  namespace: kagent
spec:
  apiKeySecret: kagent-gemini
  apiKeySecretKey: GOOGLE_API_KEY
  model: gemini-2.5-flash
  provider: Gemini
  gemini: {}

4. Apply the above resource to the cluster.

Once the resource is applied, you can select the model from the Model dropdown in the UI when creating or updating agents.