gemini-code 0.1.9

CLI tool for interacting with Gemini models

Gemini Code

A powerful AI coding assistant for your terminal, powered by Gemini 2.5 Pro with support for other LLM models.

Features

• Interactive chat sessions in your terminal
• Multiple model support (currently Gemini 2.5 Pro, more coming soon)
• Intelligent context management with auto-compaction warnings and the /compact command
• Markdown rendering in the terminal
• Automatic tool usage by the assistant:
  • File operations (view, edit, list, grep, glob)
  • System commands (bash)
  • Web content fetching

Installation

# Clone the repository
git clone https://github.com/raizamartin/gemini-code.git
cd gemini-code

# Install the package
pip install -e .

Setup

Before using Gemini CLI, you need to set up your API keys:

# Set up Google API key for Gemini models
gemini setup YOUR_GOOGLE_API_KEY

Usage

# Start an interactive session with the default model
gemini

# Start a session with a specific model
gemini --model gemini-2.5-pro

# Set default model
gemini set-default-model gemini-2.5-pro

Interactive Commands

During an interactive session, you can use these commands:

• /exit - Exit the chat session
• /help - Display help information
• /compact - Summarize the conversation to reduce token usage

How It Works

Tool Usage

Unlike direct command-line tools, the Gemini CLI's tools are used automatically by the assistant to help answer your questions. For example:

1. You ask: "What files are in the current directory?"
2. The assistant uses the ls tool behind the scenes
3. The assistant provides you with a formatted response

This approach makes the interaction more natural and similar to how Claude Code works.

Context Management

Gemini CLI intelligently manages the conversation context:

1. Warning Threshold (80%): When you reach 80% of the token limit, you'll see a warning panel suggesting to use /compact
2. Auto-Compact Prompt (95%): At 95% of the limit, the CLI will ask if you want to automatically compact the conversation
3. Manual Compaction: You can use /compact at any time to summarize the conversation and reduce token usage

The summarization process preserves important context while significantly reducing token count, allowing for virtually unlimited conversation length.

Development

This project is under active development. More models and features will be added soon!

License

MIT