redukon 3.1.0

Simple CLI tool for AI text rewriting with Ollama

🔥 Redukon

Reduce Your Tokens. Keep Your Intent.

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✨ What is Redukon?

Redukon is a token-saving prompt rewriter that uses local small AI models to optimize your prompts — reducing token count while keeping the core intent intact.

No API keys needed. Runs entirely offline with Ollama.

💡 Perfect for:

• Saving money on API calls
• Fitting more context into LLM windows
• Making prompts more efficient

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🚀 Quick Start

# Install from PyPI
pip install redukon

# Or install latest from GitHub
pip install -e https://github.com/CharlesArea/Redukon.git

# One-time setup (installs Ollama + picks a model)
redukon onboard

# Rewrite prompts to save tokens!
redukon rewrite -i "Your long prompt here..."

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📖 Usage

redukon onboard

Interactive setup wizard:

1. Checks if Ollama is installed
2. Installs Ollama if needed
3. Choose your model:

   Model	Size	Best For
   qwen2.5:0.5b	397MB	Speed & minimal resources
   llama3.2:1b	1.9GB	Balanced
   phi3:3.8b	2.3GB	Better quality

redukon rewrite

Rewrite your prompts!

# Basic
redukon rewrite -i "Please write a comprehensive Python function..."

# From file
redukon rewrite -i @long-prompt.txt -o optimized.txt

# Custom temperature (lower = more focused)
redukon rewrite -i "prompt" --temp 0.3

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⚡ Example

Before (87 tokens)	After (42 tokens)
"Please write a comprehensive Python function that takes a list of integers as input and returns a new list containing only the even numbers from the original list. The function should handle edge cases like empty lists, lists with no even numbers, and lists with negative numbers. Please include proper type hints, docstrings, and error handling."	"Write a Python function that filters even numbers from a list. Include type hints, error handling, and docstrings."

📉 Savings: ~52%

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🔧 Options

Flag	Description	Default
-i, --input	Prompt or @file.txt	Required
-o, --output	Output file	Print to stdout
-m, --model	Override model	From config
-t, --temp	Temperature (0.0-1.0)	0.3

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🛠️ Requirements

• Python 3.8+
• Ollama (installed automatically during onboard)

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📝 License

MIT © 2026 CharlesArea

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Made with ❤️ for the AI community

GitHub • PyPI • Report Bug