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Gemini

Gemini is Google's family of AI models, designed for a wide range of reasoning, coding, and multimodal tasks. Rill supports connecting to Gemini using your own API key and configuration parameters to enable AI-powered conversations and data analysis features.

API Key​

Rill will use your configured Gemini connector if available, or fall back to its built-in LLM service if no custom configuration is provided. Once configured, your API key will be used for AI features in both Rill Developer and Rill Cloud, including the AI Agent builder. You can configure your API key in your project's .env file and reference the credentials in a connector YAML.

Gemini API Key​

To configure Gemini access, you'll need to obtain an API key and configure it in your project.

  1. Obtain your Gemini API key from Google AI Studio.

  2. Create the connector YAML:

    Create connectors/gemini.yaml in your project:

    type: connector
    driver: gemini
    api_key: "{{ .env.gemini_api_key }}"

  3. Set up environment variable:

    If configuring manually, ensure your project's .env file contains the key before starting Rill:

    gemini_api_key=AI...

  4. Configure Gemini as the default AI connector:

    Add the following to your rill.yaml to use Gemini as the AI provider for your project:

    ai_connector: gemini

For details on managing credentials across environments, see Configure Local Credentials.

Configuration Options​

For additional configuration options (model, temperature, token limits, etc.), see the Gemini connector reference.

Deploy to Rill Cloud​

Rill requires you to explicitly provide a Gemini API key to use the Gemini connector. See the connector reference for details.

For details on pushing and pulling credentials between environments, see Configure Local Credentials.