Gemini Integration

# Gemini CLI [](https://github.com/google-gemini/gemini-cli/actions/workflows/ci.yml) [](https://github.com/google-gemini/gemini-cli/actions/workflows/chained_e2e.yml) [](https://www.npmjs.com/package/@google/gemini-cli) [](https://github.com/google-gemini/gemini-cli/blob/main/LICENSE) [](https://codewiki.google/github.com/google-gemini/gemini-cli?utm_source=badge&utm_medium=github&utm_campaign=github.com/google-gemini/gemini-cli)  Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model. Learn all about Gemini CLI in our [documentation](https://geminicli.com/docs/). ## 🚀 Why Gemini CLI? - **🎯 Free tier**: 60 requests/min and 1,000 requests/day with personal Google account. - **🧠 Powerful Gemini 3 models**: Access to improved reasoning and 1M token context window. - **🔧 Built-in tools**: Google Search grounding, file operations, shell commands, web fetching. - **🔌 Extensible**: MCP (Model Context Protocol) support for custom integrations. - **💻 Terminal-first**: Designed for developers who live in the command line. - **🛡️ Open source**: Apache 2.0 licensed. ## 📦 Installation See [Gemini CLI installation, execution, and releases](./docs/get-started/installation.md) for recommended system specifications and a detailed installation guide. ### Quick Install #### Run instantly with npx ```bash # Using npx (no installation required) npx @google/gemini-cli ``` #### Install globally with npm ```bash npm install -g @google/gemini-cli ``` #### Install globally with Homebrew (macOS/Linux) ```bash brew install gemini-cli ``` #### Install globally with MacPorts (macOS) ```bash sudo port install gemini-cli ``` #### Install with Anaconda (for restricted environments) ```bash # Create and activate a new environment conda create -y -n gemini_env -c conda-forge nodejs conda activate gemini_env # Install Gemini CLI globally via npm (inside the environment) npm install -g @google/gemini-cli ``` ## Release Cadence and Tags See [Releases](./docs/releases.md) for more details. ### Preview New preview releases will be published each week at UTC 23:59 on Tuesdays. These releases will not have been fully vetted and may contain regressions or other outstanding issues. Please help us test and install with `preview` tag. ```bash npm install -g @google/gemini-cli@preview ``` ### Stable - New stable releases will be published each week at UTC 20:00 on Tuesdays, this will be the full promotion of last week's `preview` release + any bug fixes and validations. Use `latest` tag. ```bash npm install -g @google/gemini-cli@latest ``` ### Nightly - New releases will be published each day at UTC 00:00. This will be all changes from the main branch as represented at time of release. It should be assumed there are pending validations and issues. Use `nightly` tag. ```bash npm install -g @google/gemini-cli@nightly ``` ## 📋 Key Features ### Code Understanding & Generation - Query and edit large codebases - Generate new apps from PDFs, images, or sketches using multimodal capabilities - Debug issues and troubleshoot with natural language ### Automation & Integration - Automate operational tasks like querying pull requests or handling complex rebases - Use MCP servers to connect new capabilities, including [media generation with Imagen, Veo or Lyria](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio/tree/main/experiments/mcp-genmedia) - Run non-interactively in scripts for workflow automation ### Advanced Capabilities - Ground your queries with built-in [Google Search](https://ai.google.dev/gemini-api/docs/grounding) for real-time information - Conversation checkpointing to save and resume complex sessions - Custom context files (GEMINI.md) to tailor behavior for your projects ### GitHub Integration Integrate Gemini CLI directly into your GitHub workflows with [**Gemini CLI GitHub Action**](https://github.com/google-github-actions/run-gemini-cli): - **Pull Request Reviews**: Automated code review with contextual feedback and suggestions - **Issue Triage**: Automated labeling and prioritization of GitHub issues based on content analysis - **On-demand Assistance**: Mention `@gemini-cli` in issues and pull requests for help with debugging, explanations, or task delegation - **Custom Workflows**: Build automated, scheduled and on-demand workflows tailored to your team's needs ## 🔐 Authentication Options Choose the authentication method that best fits your needs: ### Option 1: Login with Google (OAuth login using your Google Account) **✨ Best for:** Individual developers as well as anyone who has a Gemini Code Assist License. (see [quota limits and terms of service](https://cloud.google.com/gemini/docs/quotas) for details) **Benefits:** - **Free tier**: 60 requests/min and 1,000 requests/day - **Gemini 3 models** with 1M token context window - **No API key management** - just sign in with your Google account - **Automatic updates** to latest models #### Start Gemini CLI, then choose _Login with Google_ and follow the browser authentication flow when prompted ```bash gemini ``` #### If you are using a paid Code Assist License from your organization, remember to set the Google Cloud Project ```bash # Set your Google Cloud Project export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID" gemini ``` ### Option 2: Gemini API Key **✨ Best for:** Developers who need specific model control or paid tier access **Benefits:** - **Free tier**: 1000 requests/day with Gemini 3 (mix of flash and pro) - **Model selection**: Choose specific Gemini models - **Usage-based billing**: Upgrade for higher limits when needed ```bash # Get your key from https://aistudio.google.com/apikey export GEMINI_API_KEY="YOUR_API_KEY" gemini ``` ### Option 3: Vertex AI **✨ Best for:** Enterprise teams and production workloads **Benefits:** - **Enterprise features**: Advanced security and compliance - **Scalable**: Higher rate limits with billing account - **Integration**: Works with existing Google Cloud infrastructure ```bash # Get your key from Google Cloud Console export GOOGLE_API_KEY="YOUR_API_KEY" export GOOGLE_GENAI_USE_VERTEXAI=true gemini ``` For Google Workspace accounts and other authentication methods, see the [authentication guide](./docs/get-started/authentication.md). ## 🚀 Getting Started ### Basic Usage #### Start in current directory ```bash gemini ``` #### Include multiple directories ```bash gemini --include-directories ../lib,../docs ``` #### Use specific model ```bash gemini -m gemini-2.5-flash ``` #### Non-interactive mode for scripts Get a simple text response: ```bash gemini -p "Explain the architecture of this codebase" ``` For more advanced scripting, including how to parse JSON and handle errors, use the `--output-format json` flag to get structured output: ```bash gemini -p "Explain the architecture of this codebase" --output-format json ``` For real-time event streaming (useful for monitoring long-running operations), use `--output-format stream-json` to get newline-delimited JSON events: ```bash gemini -p "Run tests and deploy" --output-format stream-json ``` ### Quick Examples #### Start a new project ```bash cd new-project/ gemini > Write me a Discord bot that answers questions using a FAQ.md file I will provide ``` #### Analyze existing code ```bash git clone https://github