This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryUpdates 🔧 Requirements, Core Functionality, and 🔗 Links across a mixed release.
Full changelog
Release Notes - Margarita v0.1.0
Release Date: January 17, 2026
🎉 Overview
This is the initial release of Margarita, a lightweight markup language and Python library for writing, composing, and rendering structured LLM prompts. Margarita is designed for prompt engineering workflows where clarity, versioning, and correctness matter.
✨ Features
Core Functionality
- Parser - Parse
.margtemplate files with support for variables, conditionals, loops, and includes - Renderer - Render templates with context data to produce final prompts
- Composer - Compose and nest multiple template files together
- CLI Tool - Command-line interface for rendering templates from the terminal
📦 Installation
pip install margarita==0.1.0
🚀 Quick Start
Create a template file hello.marg:
Hello, {{name}}!
Welcome to Margarita templating.
Create a context file context.json:
{
"name": "World"
}
Render the template:
margarita render hello.marg
🔧 Requirements
- Python >= 3.10
- Dependencies:
click >= 8.0.0loguru >= 0.7.3
📚 Documentation
Full documentation is available with examples for:
- Getting Started
- Basic templating
- Conditionals
- Loops
- Include files
- Contexts
- Metadata
- Using with AI agents
📄 License
MIT License - see LICENSE file for details
👥 Author
Kyle Reczek ([email protected])
🔗 Links
- PyPI: https://pypi.org/project/margarita/
- GitHub: https://github.com/Banyango/margarita
- Documentation: https://banyango.github.io/margarita/
📝 Known Limitations
- Working on doing a binary release of the CLI tool. Look for it soon!
🙏 Acknowledgments
Thank you to all early adopters and people who try this out!
Full Changelog: https://github.com/Banyango/margarita/blob/main/CHANGELOG.md
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