Gemini Code

Disclaimer: This README.md was created by gemini-code and this project was developed rapidly and currently lacks comprehensive testing, and other quality-of-life features common in mature projects.

This repository contains the Gemini Code CLI tool.

Setup

1. Get a Gemini API Key: Obtain your API key from Google AI Studio: https://aistudio.google.com/app/apikey
2. Set Environment Variable: Set the GEMINI_API_KEY environment variable to your obtained key. You can do this temporarily in your current shell session:

   export GEMINI_API_KEY="YOUR_API_KEY"
   

   Or add it to your shell's configuration file (like ~/.bashrc, ~/.zshrc, or ~/.profile) for persistence:

   echo 'export GEMINI_API_KEY="YOUR_API_KEY"' >> ~/.bashrc # Or your preferred shell config file
   source ~/.bashrc # Reload the config
   

   Replace "YOUR_API_KEY" with your actual key.

Building

To build the entire project, including the CLI package, run the following command from the root directory:

npm install
npm run build

This command installs dependencies and then runs the build script defined in the root package.json, which in turn executes the build scripts in all workspaces (including packages/cli).

Running

To start the Gemini Code CLI, run the following command from the root directory:

npm start

This command executes the start script defined in the root package.json, which specifically targets and runs the start script within the gemini-code-cli workspace.

Debugging

To debug the CLI application using VS Code:

1. Start the CLI in debug mode from the root directory:

   npm run debug --workspace=gemini-code-cli
   

   This command runs node --inspect-brk dist/gemini.js within the packages/cli directory, pausing execution until a debugger attaches.
2. In VS Code, use the "Attach" launch configuration (found in .vscode/launch.json). This configuration is set up to attach to the Node.js process listening on port 9229, which is the default port used by --inspect-brk.

Alternatively, you can use the "Launch Program" configuration in VS Code if you prefer to launch the currently open file directly, but the "Attach" method is generally recommended for debugging the main CLI entry point.

Formatting

To format the code in this project, run the following command from the root directory:

npm run format

This command uses Prettier to format the code according to the project's style guidelines.

Linting

To lint the code in this project, run the following command fro the root directory:

npm run lint

Chances are you will need to manually address errors output. You can also try npm run lint -- --fix where some errors may be resolved.

Sandboxing

To enable sandboxing, set GEMINI_CODE_SANDBOX=true in your environment or .env file. Once enabled, npm run build will build a minimal container ("sandbox") image and npm start will launch inside a fresh instance of that container. Requires either docker or podman to be installed on host machine.

The sandbox (container) mounts the current directory with read-write access and is started/stopped/removed automatically as you start/stop Gemini Code. You can tell you are inside the sandbox with the cwd being reported as /sandbox/<project>. Files created within the sandbox should be automatically mapped to your user/group on host machine.

The very first build of the container (with npm run build or scripts/build_sandbox.sh) can take 20-30s (mostly due to downloading of the base image) but after that both build and start overhead should be minimal (1-2s).

You can customize the sandbox in Dockerfile (e.g. for pre-installed utilities) or in scripts/build_sandbox.sh (e.g. for mounts -v ..., ports -p ..., or environment variables -e ...) and any changes should be automatically picked up by npm run build and npm start respectively.

Attaching from VSCode

You can have VSCode (or forks) attach to a running sandbox using the Dev Containers extension. Simply use Dev Containers: Attach to Running Container ... command and select your container named gemini-code-sandbox-#. Once attached you can open the project folder at /sandbox/<project>. You may need the VSCode setting dev.containers.dockerPath to be podman if using podman. Without this setting you may be prompted to install Docker.