Gemini

CLI Tutorials

Learn to use the Gemini CLI to generate code, create images, and manage AI tasks from your terminal.

Get Started
Getting Started Tutorials API Reference CLI Docs

Install the CLI

Linux/macOS

{`curl -fsSL https://cli.gemini.com/install.sh | sh
source ~/.bashrc`}

Windows

{`iex (New-Object Net.WebClient).DownloadString('https://cli.gemini.com/install.ps1')`}

Docker

{`docker run -v $PWD:/app -w /app \\
  -e GEMINI_API_KEY="your_api_key_here" \\
  google/gemini-cli:latest`}

Configure Your CLI

Set API Key

{`gemini config set api_key YOUR_API_KEY_HERE`}

Environment Setup

For Linux/macOS:

{`export GEMINI_API_KEY="your_api_key"`

Common CLI Examples

Code Generation

{`gemini code \\
  --prompt "Create a Python API wrapper for Gemini" \\
  --output file.py`}

Image Synthesis

{`gemini image \\
  --prompt "Cyberpunk skyline at night" \\
  --output cyberpunk_skylines/city.jpg`}

Code Debugging

{`gemini debug \\
  --file broken_code.py \\
  --output fixed_code.py`}

Text Summarization

{`gemini summarize \\
  --content "Paste your long article here..." \\
  --output summary.txt`}

Pro Tips

Batch Processing

{`gemini batch process \\ *.py \\ --output docs/`}

Process multiple files at once with intelligent batch processing

Watch Mode

{`gemini watch \\ --watch folder/ \\ --output output/`}

Automatically regenerate content when source files change

API Mode

{`gemini api \\ --model gemini-pro \\ --prompt "Explain quantum computing" > response.json`}

Full control over model parameters and input/output formats

Try the CLI Now

Get started with our command line interface to automate AI tasks, generate content, and optimize your workflow.

Create API Key