chore: import upstream snapshot with attribution
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# Get started with Gemini CLI
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Welcome to Gemini CLI! This guide will help you install, configure, and start
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using Gemini CLI to enhance your workflow right from your terminal.
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## Quickstart: Install, authenticate, configure, and use Gemini CLI
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Gemini CLI brings the power of advanced language models directly to your command
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line interface. As an AI-powered assistant, Gemini CLI can help you with a
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variety of tasks, from understanding and generating code to reviewing and
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editing documents.
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## Install
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The standard method to install and run Gemini CLI uses `npm`:
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```bash
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npm install -g @google/gemini-cli
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```
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Once Gemini CLI is installed, run Gemini CLI from your command line:
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```bash
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gemini
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```
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For more installation options, see
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[Gemini CLI Installation](./installation.mdx).
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## Authenticate
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To begin using Gemini CLI, you must authenticate with a Google service. In most
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cases, you can log in with your existing Google account:
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1. Run Gemini CLI after installation:
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```bash
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gemini
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```
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2. When asked "How would you like to authenticate for this project?" select **1.
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Sign in with Google**.
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3. Select your Google account.
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4. Click on **Sign in**.
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Certain account types may require you to configure a Google Cloud project. For
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more information, including other authentication methods, see
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[Gemini CLI Authentication Setup](./authentication.mdx).
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## Configure
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Gemini CLI offers several ways to configure its behavior, including environment
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variables, command-line arguments, and settings files.
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To explore your configuration options, see
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[Gemini CLI Configuration](../reference/configuration.md).
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## Use
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Once installed and authenticated, you can start using Gemini CLI by issuing
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commands and prompts in your terminal. Ask it to generate code, explain files,
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and more.
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<!-- prettier-ignore -->
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> [!NOTE]
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> These examples demonstrate potential capabilities. Your actual
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> results can vary based on the model used and your project environment.
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### Rename your photographs based on content
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You can use Gemini CLI to automate file management tasks that require visual
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analysis. In this example, Gemini CLI renames images based on their actual
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subject matter.
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Scenario: You have a folder containing the following files:
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```bash
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photos/photo1.png
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photos/photo2.png
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photos/photo3.png
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```
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Give Gemini the following prompt:
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```cli
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Rename the photos in my "photos" directory based on their contents.
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```
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Result: Gemini asks for permission to rename your files.
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Select **Allow once** and your files are renamed:
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```bash
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photos/yellow_flowers.png
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photos/antique_dresser.png
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photos/green_android_robot.png
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```
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### Explain a repository by reading its code
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Gemini CLI is effective for rapid codebase exploration. The following example
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shows how to ask Gemini CLI to fetch, analyze, and summarize a remote project.
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Scenario: You want to understand how a popular open-source utility works by
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inspecting its code, not just its README.
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Give Gemini CLI the following prompt:
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```cli
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Clone the 'chalk' repository from https://github.com/chalk/chalk, read its key source files, and explain how it works.
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```
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Result: Gemini performs a sequence of actions to answer your request.
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1. First, it asks for permission to run `git clone` to download the repository.
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2. Next, it finds the important source files and asks for permission to read
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them.
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3. Finally, after analyzing the code, it provides a summary.
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Gemini CLI returns an explanation based on the actual source code:
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```markdown
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The `chalk` library is a popular npm package for styling terminal output with
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colors. After analyzing the source code, here's how it works:
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- **Core functionality:** The main file sets up a chainable API. Each color or
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modifier (like `bold` or `italic`) is a getter that appends the corresponding
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ANSI escape code to an internal stack.
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- **Chainable API:** When you call `chalk.red.bold('Hello')`, you are accessing
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getters. The `red` getter adds the red color code, and the `bold` getter adds
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the bold code.
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- **Output generation:** When the chain is treated as a string (for example, in
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`console.log`), a final `toString()` method is called. This method joins all
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the stored ANSI codes, wraps them around the input string ('Hello'), and adds
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a reset code at the end. This produces the final, styled string that the
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terminal can render.
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```
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### Combine two spreadsheets into one spreadsheet
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Gemini CLI can process and transform data across multiple files. Use this
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capability to merge reports or reformat data sets without manual copying.
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Scenario: You have two .csv files: `Revenue - 2023.csv` and
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`Revenue - 2024.csv`. Each file contains monthly revenue figures.
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Give Gemini CLI the following prompt:
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```cli
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Combine the two .csv files into a single .csv file, with each year a different column.
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```
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Result: Gemini CLI reads each file and then asks for permission to write a new
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file. Provide your permission and Gemini CLI provides the combined data:
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```csv
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Month,2023,2024
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January,0,1000
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February,0,1200
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March,0,2400
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April,900,500
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May,1000,800
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June,1000,900
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July,1200,1000
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August,1800,400
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September,2000,2000
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October,2400,3400
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November,3400,1800
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December,2100,9000
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```
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### Run unit tests
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Gemini CLI can generate boilerplate code and tests based on your existing
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implementation. This example demonstrates how to request code coverage for a
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JavaScript component.
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Scenario: You've written a simple login page. You wish to write unit tests to
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ensure that your login page has code coverage.
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Give Gemini CLI the following prompt:
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```cli
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Write unit tests for Login.js.
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```
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Result: Gemini CLI asks for permission to write a new file and creates a test
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for your login page.
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## Check usage and quota
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You can check your current token usage and quota information using the
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`/stats model` command. This command provides a snapshot of your current
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session's token usage, as well as your overall quota and usage for the supported
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models.
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For more information on the `/stats` command and its subcommands, see the
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[Command Reference](../reference/commands.md#stats).
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## Next steps
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- Follow the [File management](../cli/tutorials/file-management.md) guide to
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start working with your codebase.
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- See [Shell commands](../cli/tutorials/shell-commands.md) to learn about
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terminal integration.
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