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Installation

Getting started with Kedi is straightforward. It's a Python package that you can install in minutes.

Requirements

Requirement Version
Python 3.10+
pip latest
LLM API Key OpenAI / Anthropic / Ollama

Installation Methods

uv add kedi

pip install kedi

git clone https://github.com/kedi-lang/kedi.git
cd kedi
pip install -e .

Verify Installation

kedi --version

Expected output:

kedi 0.1.0

Configuration

LLM Provider Setup

Kedi supports multiple LLM providers. Configure via environment variables or a .env file:

.env
OPENAI_API_KEY=sk-...
OPENAI_MODEL=gpt-4o
.env
ANTHROPIC_API_KEY=sk-ant-...
ANTHROPIC_MODEL=claude-sonnet-4-20250514
.env
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3

Environment Priority

  1. Environment variables (highest priority)
  2. .env file in current directory
  3. .env file in home directory
  4. Default values

Editor Support

VS Code Extension

Install the Kedi VS Code extension for syntax highlighting:

  1. Open VS Code
  2. Go to Extensions (Cmd+Shift+X)
  3. Search for "Kedi"
  4. Click Install

Syntax Highlighting

The VS Code extension provides syntax highlighting, error detection, and code snippets for .kedi files.

Troubleshooting

Common Issues

Python version too old: 

python --version  # Must be 3.10+

Missing API key: 

export OPENAI_API_KEY="your-key-here"

Next Steps

Write Your First Program