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Authentication Setup

The Gemini CLI requires you to authenticate with Google's AI services. On initial startup you'll need to configure one of the following authentication methods:

  1. Login with Google (Gemini Code Assist):

    • Use this option to log in with your google account.

    • During initial startup, Gemini CLI will direct you to a webpage for authentication. Once authenticated, your credentials will be cached locally so the web login can be skipped on subsequent runs.

    • Note that the web login must be done in a browser that can communicate with the machine Gemini CLI is being run from. (Specifically, the browser will be redirected to a localhost url that Gemini CLI will be listening on).

    • Users may have to specify a GOOGLE_CLOUD_PROJECT if:

      1. You have a Google Workspace account. Google Workspace is a paid service for businesses and organizations that provides a suite of productivity tools, including a custom email domain (e.g. [email protected]), enhanced security features, and administrative controls. These accounts are often managed by an employer or school.
      2. You have received a Gemini Code Assist license through the Google Developer Program (including qualified Google Developer Experts)
      3. You have been assigned a license to a current Gemini Code Assist standard or enterprise subscription.
      4. You are using the product outside the supported regions for free individual usage.
      5. You are a Google account holder under the age of 18

      You can temporarily set the environment variable in your current shell session using the following command:

      bash
      export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
      • For repeated use, you can add the environment variable to your .env file or your shell's configuration file (like ~/.bashrc, ~/.zshrc, or ~/.profile). For example, the following command adds the environment variable to a ~/.bashrc file:
      bash
      echo 'export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"' >> ~/.bashrc
      source ~/.bashrc
  2. Gemini API key:

    • Obtain your API key from Google AI Studio: https://aistudio.google.com/app/apikey
    • Set the GEMINI_API_KEY environment variable. In the following methods, replace YOUR_GEMINI_API_KEY with the API key you obtained from Google AI Studio:
      • You can temporarily set the environment variable in your current shell session using the following command:

        bash
        export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"
      • For repeated use, you can add the environment variable to your .env file.

      • Alternatively you can export the API key from your shell's configuration file (like ~/.bashrc, ~/.zshrc, or ~/.profile). For example, the following command adds the environment variable to a ~/.bashrc file:

        bash
        echo 'export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"' >> ~/.bashrc
        source ~/.bashrc

        ⚠️ Be advised that when you export your API key inside your shell configuration file, any other process executed from the shell can read it.

  3. Vertex AI:

    • Obtain your Google Cloud API key: Get an API Key
      • Set the GOOGLE_API_KEY environment variable. In the following methods, replace YOUR_GOOGLE_API_KEY with your Vertex AI API key:
        • You can temporarily set these environment variables in your current shell session using the following commands:
          bash
          export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"
        • For repeated use, you can add the environment variables to your .env file or your shell's configuration file (like ~/.bashrc, ~/.zshrc, or ~/.profile). For example, the following commands add the environment variables to a ~/.bashrc file:
          bash
          echo 'export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"' >> ~/.bashrc
          source ~/.bashrc
    • To use Application Default Credentials (ADC), use the following command:
      • Ensure you have a Google Cloud project and have enabled the Vertex AI API.
        bash
        gcloud auth application-default login
        For more information, see Set up Application Default Credentials for Google Cloud.
      • Set the GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_LOCATION environment variables. In the following methods, replace YOUR_PROJECT_ID and YOUR_PROJECT_LOCATION with the relevant values for your project:
        • You can temporarily set these environment variables in your current shell session using the following commands:

          bash
          export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
          export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION" # e.g., us-central1
        • For repeated use, you can add the environment variables to your .env file

        • Alternatively you can export the environment variables from your shell's configuration file (like ~/.bashrc, ~/.zshrc, or ~/.profile). For example, the following commands add the environment variables to a ~/.bashrc file:

          bash
          echo 'export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"' >> ~/.bashrc
          echo 'export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION"' >> ~/.bashrc
          source ~/.bashrc

          ⚠️ Be advised that when you export your API key inside your shell configuration file, any other process executed from the shell can read it.

  4. Cloud Shell:

    • This option is only available when running in a Google Cloud Shell environment.

    • It automatically uses the credentials of the logged-in user in the Cloud Shell environment.

    • This is the default authentication method when running in Cloud Shell and no other method is configured.

      :warning: Be advised that when you export your API key inside your shell configuration file, any other process executed from the shell can read it.
      

Persisting Environment Variables with .env Files

You can create a .gemini/.env file in your project directory or in your home directory. Creating a plain .env file also works, but .gemini/.env is recommended to keep Gemini variables isolated from other tools.

Important: Some environment variables (like DEBUG and DEBUG_MODE) are automatically excluded from project .env files to prevent interference with gemini-cli behavior. Use .gemini/.env files for gemini-cli specific variables.

Gemini CLI automatically loads environment variables from the first .env file it finds, using the following search order:

  1. Starting in the current directory and moving upward toward /, for each directory it checks:
    1. .gemini/.env
    2. .env
  2. If no file is found, it falls back to your home directory:
    • ~/.gemini/.env
    • ~/.env

Important: The search stops at the first file encountered—variables are not merged across multiple files.

Examples

Project-specific overrides (take precedence when you are inside the project):

bash
mkdir -p .gemini
echo 'GOOGLE_CLOUD_PROJECT="your-project-id"' >> .gemini/.env

User-wide settings (available in every directory):

bash
mkdir -p ~/.gemini
cat >> ~/.gemini/.env <<'EOF'
GOOGLE_CLOUD_PROJECT="your-project-id"
GEMINI_API_KEY="your-gemini-api-key"
EOF

Non-Interactive Mode / Headless Environments

When running the Gemini CLI in a non-interactive environment, you cannot use the interactive login flow. Instead, you must configure authentication using environment variables.

The CLI will automatically detect if it is running in a non-interactive terminal and will use one of the following authentication methods if available:

  1. Gemini API Key:

    • Set the GEMINI_API_KEY environment variable.
    • The CLI will use this key to authenticate with the Gemini API.
  2. Vertex AI:

    • Set the GOOGLE_GENAI_USE_VERTEXAI=true environment variable.
    • Using an API Key: Set the GOOGLE_API_KEY environment variable.
    • Using Application Default Credentials (ADC):
      • Run gcloud auth application-default login in your environment to configure ADC.
      • Ensure the GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_LOCATION environment variables are set.

If none of these environment variables are set in a non-interactive session, the CLI will exit with an error.

Released under the MIT License.