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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).
- <a id="workspace-gca">Users may have to specify a GOOGLE_CLOUD_PROJECT if:</a>
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.
1. You have received a free Code Assist license through the [Google Developer Program](https://developers.google.com/program/plans-and-pricing) (including qualified Google Developer Experts)
1. You have been assigned a license to a current Gemini Code Assist standard or enterprise subscription.
1. You are using the product outside the [supported regions](https://developers.google.com/gemini-code-assist/resources/available-locations) for free individual usage.>
1. You are a Google account holder under the age of 18
- If you fall into one of these categories, you must first configure a Google Cloud Project Id to use, [enable the Gemini for Cloud API](https://cloud.google.com/gemini/docs/discover/set-up-gemini#enable-api) and [configure access permissions](https://cloud.google.com/gemini/docs/discover/set-up-gemini#grant-iam).
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 (located in the project directory or user home directory) 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. **<a id="gemini-api-key"></a>Gemini API key:**
- Obtain your API key from Google AI Studio: [https://aistudio.google.com/app/apikey](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 (located in the project directory or user home directory) 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 GEMINI_API_KEY="YOUR_GEMINI_API_KEY"' >> ~/.bashrc
source ~/.bashrc
```
3. **Vertex AI:**
- If not using express mode:
- Ensure you have a Google Cloud project and have enabled the Vertex AI API.
- Set up Application Default Credentials (ADC), using the following command:
```bash
gcloud auth application-default login
```
For more information, see [Set up Application Default Credentials for Google Cloud](https://cloud.google.com/docs/authentication/provide-credentials-adc).
- Set the `GOOGLE_CLOUD_PROJECT`, `GOOGLE_CLOUD_LOCATION`, and `GOOGLE_GENAI_USE_VERTEXAI` 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
export GOOGLE_GENAI_USE_VERTEXAI=true
```
- For repeated use, you can add the environment variables to your `.env` file (located in the project directory or user home directory) 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_CLOUD_PROJECT="YOUR_PROJECT_ID"' >> ~/.bashrc
echo 'export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION"' >> ~/.bashrc
echo 'export GOOGLE_GENAI_USE_VERTEXAI=true' >> ~/.bashrc
source ~/.bashrc
```
- If using express mode:
- Set the `GOOGLE_API_KEY` environment variable. In the following methods, replace `YOUR_GOOGLE_API_KEY` with your Vertex AI API key provided by express mode:
- 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"
export GOOGLE_GENAI_USE_VERTEXAI=true
```
- For repeated use, you can add the environment variables to your `.env` file (located in the project directory or user home directory) 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
echo 'export GOOGLE_GENAI_USE_VERTEXAI=true' >> ~/.bashrc
source ~/.bashrc
```
|
