178 lines
8.7 KiB
Markdown
178 lines
8.7 KiB
Markdown
# Gemini CLI
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[](https://github.com/google-gemini/gemini-cli/actions/workflows/ci.yml)
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This repository contains the Gemini CLI tool.
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## Quickstart
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1. **Prerequisites:** Ensure you have [Node.js version 18](https://nodejs.org/en/download) or higher installed.
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2. **Run the CLI:** Execute the following command in your terminal:
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```bash
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npx https://github.com/google-gemini/gemini-cli
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```
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3. **Authenticate:** When prompted, sign in with your Google account. This will grant you up to 60 model requests per minute and 1,000 model requests per day using Gemini 2.5 Pro.
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You are now ready to use the Gemini CLI!
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### For advanced use or increased limits:
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If you need to use a specific model or require a higher request capacity, you can use an API key:
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1. Generate a key from [Google AI Studio](https://aistudio.google.com/apikey).
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2. Set it as an environment variable in your terminal. Replace `YOUR_API_KEY` with your generated key.
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```bash
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export GEMINI_API_KEY="YOUR_API_KEY"
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```
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## Examples
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Once the CLI is running, you can start interacting with Gemini from your shell. Try a simple query:
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```
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> How can I build a web app?
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```
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Or ask it to perform a task using its tools:
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```
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> List files in the current directory.
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```
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Take a look at some [popular tasks](#popular-tasks) for more inspiration.
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## Authentication Setup
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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:
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1. **Login with Google (Gemini Code Assist):**
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- Use this option to log in with the standard, free account you use for services like Gmail, Google Photos, and Google Drive for personal use (e.g. your-name@gmail.com).
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- 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.
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- 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).
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2. **Gemini API key:**
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- Obtain your API key from Google AI Studio: [https://aistudio.google.com/app/apikey](https://aistudio.google.com/app/apikey)
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- 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:
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- You can temporarily set the environment variable in your current shell session using the following command:
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```bash
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export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"
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```
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- 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:
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```bash
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echo 'export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"' >> ~/.bashrc
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source ~/.bashrc
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```
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3. **Login with Google Work**
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- Use this option to log in with the **Google Workspace Accounts**. This is a paid service for businesses and organizations that provides a suite of productivity tools, including a custom email domain (e.g. your-name@your-company.com), enhanced security features, and administrative controls. These accounts are often managed by an employer or school.
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- Google Workspace Account must configure a Google Cloud Project Id to use. You can temporarily set the environment variable in your current shell session using the following command:
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```bash
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export GOOGLE_CLOUD_PROJECT_ID="YOUR_PROJECT_ID"
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```
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- 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:
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```bash
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echo 'export GOOGLE_CLOUD_PROJECT_ID="YOUR_PROJECT_ID"' >> ~/.bashrc
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source ~/.bashrc
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```
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- During 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.
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- 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).
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4. **Vertex AI:**
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- If not using express mode:
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- Ensure you have a Google Cloud project and have enabled the Vertex AI API.
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- Set up Application Default Credentials (ADC), using the following command:
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```bash
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gcloud auth application-default login
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```
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For more information, see [Set up Application Default Credentials for Google Cloud](https://cloud.google.com/docs/authentication/provide-credentials-adc).
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- 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:
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- You can temporarily set these environment variables in your current shell session using the following commands:
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```bash
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export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
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export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION" # e.g., us-central1
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export GOOGLE_GENAI_USE_VERTEXAI=true
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```
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- 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 adds the environment variables to a `~/.bashrc` file:
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```bash
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echo 'export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"' >> ~/.bashrc
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echo 'export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION"' >> ~/.bashrc
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echo 'export GOOGLE_GENAI_USE_VERTEXAI=true' >> ~/.bashrc
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source ~/.bashrc
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```
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- If using express mode:
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- Set the `GOOGLE_API_KEY` environment variables. In the following methods, replace `YOUR_GOOGLE_API_KEY` with your Vertex AI API key provided by express mode:
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- You can temporarily set these environment variables in your current shell session using the following commands:
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```bash
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export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"
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export GOOGLE_GENAI_USE_VERTEXAI=true
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```
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- 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 adds the environment variables to a `~/.bashrc` file:
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```bash
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echo 'export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"' >> ~/.bashrc
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echo 'export GOOGLE_GENAI_USE_VERTEXAI=true' >> ~/.bashrc
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source ~/.bashrc
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```
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## Popular tasks
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### Explore a new codebase
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Start by `cd`ing into an existing or newly-cloned repository and running `gemini`.
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```text
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> Describe the main pieces of this system's architecture.
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```
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```text
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> What security mechanisms are in place?
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```
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### Work with your existing code
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```text
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> Implement a first draft for GitHub issue #123.
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```
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```text
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> Help me migrate this codebase to the latest version of Java. Start with a plan.
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```
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### Automate your workflows
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Use MCP servers to integrate your local system tools with your enterprise collaboration suite.
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```text
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> Make me a slide deck showing the git history from the last 7 days, grouped by feature and team member.
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```
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```text
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> Make a full-screen web app for a wall display to show our most interacted-with GitHub issues.
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```
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### Interact with your system
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```text
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> Convert all the images in this directory to png, and rename them to use dates from the exif data.
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```
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```text
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> Organise my PDF invoices by month of expenditure.
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```
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### Next steps
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- Learn how to [contribute to or build from the source](./CONTRIBUTING.md).
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- Explore the available **[CLI Commands](./docs/cli/commands.md)**.
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- If you encounter any issues, review the **[Troubleshooting guide](./docs/troubleshooting.md)**.
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- For more comprehensive documentation, see the [full documentation](./docs/index.md).
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## Gemini APIs
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This project leverages the Gemini APIs to provide AI capabilities. For details on the terms of service governing the Gemini API, please refer to the [Gemini API Terms of Service](https://ai.google.dev/gemini-api/terms).
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