koder 0.2.0

An intuitive AI coding assistant and interactive CLI tool that boosts developer productivity with intelligent automation and context-aware support.

Koder

An intuitive AI coding assistant and interactive CLI tool that boosts developer productivity with intelligent automation and context-aware support.

🚀 Why this project

Yet another vibe coding assistant that aims to provide:

• Universal AI provider support - Works with OpenAI, Claude, Gemini, and 100+ providers through intelligent auto-detection.
• Persistent context - Remembers your conversations across sessions with smart token management.
• Rich toolset - File operations, search, shell commands, and web access in one unified interface.
• Zero-config start - Just set your API key and go, with automatic model selection and streaming support.
• Session management - Organize work by project with isolated conversation histories.

📋 Requirements

• Python 3.9 or higher.
• API key and optional baseURL from OpenAI, Gemini, Anthropic or other AI providers.

🛠️ Installation

Using uv (Recommended)

uv tool install koder

Using pip

pip install koder

🤖 AI Provider Configuration

Koder automatically detects and uses the LLM provider from environment variables.

Model Selection

The KODER_MODEL environment variable controls which model to use:

# OpenAI models
export KODER_MODEL="gpt-4.1"

# Claude models (via LiteLLM)
export KODER_MODEL="claude-opus-4-20250514"

# Google models (via LiteLLM)
export KODER_MODEL="gemini/gemini-2.5-pro"

AI Providers:

OpenAI

# Required
export OPENAI_API_KEY="your-openai-api-key"

# Optional: Custom OpenAI-compatible endpoint
export OPENAI_BASE_URL="https://api.openai.com/v1"  # Default

# Optional: Specify model (default: gpt-4.1)
export KODER_MODEL="gpt-4o"

Gemini

# Required
export GEMINI_API_KEY="your-openai-api-key"

# Specify model (default: gemini/gemini-2.5-pro)
export KODER_MODEL="gemini/gemini-2.5-pro"

Anthropic Claude

# Anthropic Claude Opus
export ANTHROPIC_API_KEY="your-anthropic-key"
export KODER_MODEL="claude-opus-4-20250514"

Github Copilot

export KODER_MODEL="github_copilot/claude-sonnet-4"

Visit https://github.com/login/device and enter code XXXX-XXXXX shown in your first chat to authenticate.

Azure OpenAI

# Required
export AZURE_OPENAI_API_KEY="your-azure-api-key"
export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com"
export KODER_MODEL="gpt-4o"  # Your Azure deployment model

# Optional
export AZURE_OPENAI_DEPLOYMENT="your-deployment-name"  # Defaults to KODER_MODEL
export AZURE_OPENAI_API_VERSION="2025-04-01-preview"   # Default version

Other AI providers (via LiteLLM)

LiteLLM supports 100+ providers including Anthropic, Google, Cohere, Hugging Face, and more:

# Google Vertex AI
export GOOGLE_APPLICATION_CREDENTIALS="your-sa-path.json"
export VERTEXAI_LOCATION="<your-region>"
export KODER_MODEL="vertex_ai/claude-sonnet-4@20250514"

# Custom OpenAI-compatible endpoints
export OPENAI_API_KEY="your-key"
export OPENAI_BASE_URL="https://your-custom-endpoint.com/v1"
export KODER_MODEL="openai/<your-model-name>"

⚡ Quick Start

Basic Usage

# Run in interactive mode
koder

# Execute a single prompt
koder -s my-project "Help me implement a new feature"

# Use a specific session
koder --session my-project "Your prompt here"

# Enable streaming mode
koder --stream "Your prompt here"

🧪 Development

Setup Development Environment

# Clone and setup
git clone https://github.com/feiskyer/koder.git
cd koder
uv sync

uv run koder

Code Quality

# Format code
black .

# Lint code
ruff check .

# Type checking
mypy .

🤝 Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature/your-feature
3. Make your changes
4. Run formating and linting: black . && ruff check .
5. Commit your changes: git commit -am 'Add your feature'
6. Push to the branch: git push origin feature/your-feature
7. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.