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A command-line AI workflow tool powered by xAI's Grok

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    This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@apekshik/grok-cli-apek) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

    Readme

    Gemini CLI

    Gemini CLI CI

    Gemini CLI Screenshot

    This repository contains the Gemini CLI, a command-line AI workflow tool that connects to your tools, understands your code and accelerates your workflows.

    With the Gemini CLI you can:

    • Query and edit large codebases in and beyond Gemini's 1M token context window.
    • Generate new apps from PDFs or sketches, using Gemini's multimodal capabilities.
    • Automate operational tasks, like querying pull requests or handling complex rebases.
    • Use tools and MCP servers to connect new capabilities, including media generation with Imagen, Veo or Lyria
    • Ground your queries with the Google Search tool, built in to Gemini.

    Quickstart

    1. Prerequisites: Ensure you have Node.js version 18 or higher installed.

    2. Run the CLI: Execute the following command in your terminal:

      npx https://github.com/google-gemini/gemini-cli

      Or install it with:

      npm install -g @google/gemini-cli
      gemini
    3. Pick a color theme

    4. Authenticate: When prompted, sign in with your personal Google account. This will grant you up to 60 model requests per minute and 1,000 model requests per day using Gemini.

    You are now ready to use the Gemini CLI!

    For advanced use or increased limits:

    If you need to use a specific model or require a higher request capacity, you can use an API key:

    1. Generate a key from Google AI Studio.

    2. Set it as an environment variable in your terminal. Replace YOUR_API_KEY with your generated key.

      export GEMINI_API_KEY="YOUR_API_KEY"

    For other authentication methods, including Google Workspace accounts, see the authentication guide.

    Examples

    Once the CLI is running, you can start interacting with Gemini from your shell.

    You can start a project from a new directory:

    cd new-project/
    gemini
    > Write me a Gemini Discord bot that answers questions using a FAQ.md file I will provide

    Or work with an existing project:

    git clone https://github.com/google-gemini/gemini-cli
    cd gemini-cli
    gemini
    > Give me a summary of all of the changes that went in yesterday

    Next steps

    Troubleshooting

    Head over to the troubleshooting guide if you're having issues.

    Explore a new codebase

    Start by cding into an existing or newly-cloned repository and running gemini.

    > Describe the main pieces of this system's architecture.
    > What security mechanisms are in place?

    Work with your existing code

    > Implement a first draft for GitHub issue #123.
    > Help me migrate this codebase to the latest version of Java. Start with a plan.

    Automate your workflows

    Use MCP servers to integrate your local system tools with your enterprise collaboration suite.

    > Make me a slide deck showing the git history from the last 7 days, grouped by feature and team member.
    > Make a full-screen web app for a wall display to show our most interacted-with GitHub issues.

    Interact with your system

    > Convert all the images in this directory to png, and rename them to use dates from the exif data.
    > Organise my PDF invoices by month of expenditure.

    Terms of Service and Privacy Notice

    For details on the terms of service and privacy notice applicable to your use of Gemini CLI, see the Terms of Service and Privacy Notice.