📝 py-prompt-versioner

Stop copy-pasting 500-line f-strings. py-prompt-versioner is a lightweight utility designed for AI engineers who want to treat their prompts like code. Store prompts in Markdown, version them properly, and inject variables with ease.

✨ Features

• Frontmatter Metadata: Store model settings (temperature, model name) directly within the prompt file.
• Jinja2 Templating: Support for complex variable injection, loops, and logic.
• Strict Validation: Powered by Pydantic to ensure your metadata is always correct.
• CLI First: Bootstrap your prompt directory structure in one command.
• Path-Agnostic: Works seamlessly across Windows, Mac, and Linux.

🚀 Installation

Install via pip:

pip install py-prompt-versioner

or using uv for lightning-fast-setup:

uv add py-prompt-versioner

🛠 Quick Start

1. Initialize your project Use the CLI to create your prompt directory structure.

# Creates a default /prompts folder
prompt-versioner init

# Or specify a custom path
prompt-versioner init --path ./my_ai_assets

2. Create a prompt file Your prompts live in .md files with YAML frontmatter. Example: prompts/sample_task/v1.md

---
version: "v1"
model: "gpt-4o"
temperature: 0.7
---

Act as a professional editor. Summarize the following text: {{ text }}

📖 Usage Guide

Integrate py-prompt-versioner into your Python workflow to load and render prompts dynamically.

from prompt_versioner import PromptManager

# 1. Initialize the manager with your prompts directory
pm = PromptManager(path="./prompts")

# 2. Load and render a specific version with variables
result = pm.get_prompt(
    task_name="sample_task",
    version="v1",
    variables={"text": "The quick brown fox jumps over the lazy dog."}
)

# 3. Use the result
print(f"Using model: {result['metadata'].model}")
print(f"Prompt: {result['content']}")

📂 Project Structure

A typical setup using py-prompt-versioner looks like this:

.
├── prompts/
│   ├── classification/
│   │   ├── v1.md
│   │   └── v2.md
│   └── summarization/
│       └── base.md
├── main.py
└── pyproject.toml

⚙️ How it Works

🤝 Contributing

Contributions are welcome! If you have a feature request or found a bug, please open an issue or submit a pull request on GitHub.

1. Fork the repo.
2. Clone it locally.
3. Submit a PR with your changes. Pssss, don't forget to ruff your codes!

🛠 Recommended Naming Convention

📄 License

Distributed under the MIT License. See LICENSE for more information.# py-prompt-versioner