PromptMage
Python framework for building multi-step LLM applications with version control and testing
| What is it | Python framework for building multi-step LLM applications with version control and testing |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| API | Yes |
| Best for | building multi-step LLM applications, managing prompt version history |
| Domain registered | 2024 |
Data updated Aug. 1, 2026
What does PromptMage do?
PromptMage is a Python framework specifically designed for developers building complex, multi-step applications using large language models. It provides a structured environment where you can create, manage, and deploy LLM workflows as a self-hosted solution. The framework handles the orchestration of multiple prompt steps while maintaining visibility and control over each component of your AI application.
What sets PromptMage apart is its built-in version control system that treats prompts as first-class citizens, allowing teams to track changes and collaborate effectively. The interactive playground lets you test and compare prompts in real-time, while the automatic FastAPI generation means you can deploy your workflows without writing extensive integration code. The type-hinting system provides automatic validation and inference, reducing errors in complex LLM pipelines.
This tool is ideal for AI developers and research teams working on sophisticated LLM applications that require reproducibility and collaboration. Whether you're building product analysis systems, research assistants, or enterprise AI solutions, PromptMage provides the scaffolding to manage prompt development, testing, and deployment in a controlled, versioned environment.
Key features
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