About
PromptMage is an open-source Python framework built to streamline the development of complex, multi-step applications powered by large language models (LLMs). It is designed as a self-hosted solution, giving teams full control over their LLM pipelines without relying on third-party cloud services. At its core, PromptMage treats prompts as first-class citizens — complete with built-in version control so developers can track, compare, and collaborate on prompt iterations over time. The integrated Prompt Playground provides an intuitive interface for rapid testing and refinement, enabling fast iteration cycles directly within the development workflow. One of PromptMage's standout features is its auto-generated FastAPI-powered REST API, which is automatically created from your workflow definitions using Python type hints. This allows for seamless integration and deployment without writing boilerplate API code. An Evaluation Mode supports both manual and automatic testing of prompts to validate reliability before production deployment. PromptMage is ideal for developers, researchers, and organizations looking to make LLM technology more manageable and accessible. It is well-suited for small teams doing rapid prototyping as well as large enterprises needing structured LLM workflow governance. The framework supports easy sharing of results with domain experts and stakeholders, fostering cross-functional collaboration on AI projects.
Key Features
- Prompt Version Control: Track the full development history of your prompts with built-in version control, enabling collaboration and seamless iteration across teams.
- Prompt Playground: An intuitive interface for testing, comparing, and refining prompts, designed to support rapid iteration within the development workflow.
- Auto-Generated FastAPI: Automatically generates a FastAPI-powered REST API from your workflow definitions using Python type hints, eliminating boilerplate and simplifying deployment.
- Evaluation Mode: Supports both manual and automatic testing of prompts to assess performance and ensure reliability before deploying to production.
- Self-Hosted Deployment: Deploy locally or on your own server in minutes, giving teams full ownership and control over their LLM infrastructure.
Use Cases
- Managing and versioning prompts across a development team to ensure consistency and enable rollback when prompt changes cause regressions.
- Rapidly prototyping multi-step LLM pipelines with a visual playground before committing to production-grade code.
- Automatically exposing LLM workflows as REST API endpoints for integration into larger applications or microservice architectures.
- Running automated and manual evaluation of prompts to benchmark quality and catch regressions before deployment.
- Sharing LLM workflow results and prompt iterations with non-technical domain experts and stakeholders for feedback and validation.
Pros
- Open Source & Self-Hosted: Completely free and open source with self-hosting support, giving teams full data control and no vendor lock-in.
- Developer-Friendly with Type Hints: Leverages Python type hints for automatic inference, validation, and API generation, making it natural for Python developers to adopt.
- Integrated Prompt Lifecycle Management: Combines version control, a playground, evaluation, and API generation in a single cohesive framework rather than requiring multiple disparate tools.
- Rapid Setup: Can be installed and running in under 5 minutes, lowering the barrier to entry for teams wanting structured LLM workflow management.
Cons
- Alpha Stage: Currently in alpha, meaning the API and features are subject to breaking changes at any time — not yet recommended for production-critical systems.
- Python-Only: Limited to Python-based projects, which may exclude teams working in other programming languages or tech stacks.
- Requires Self-Hosting: There is no managed cloud offering, so teams must provision and maintain their own infrastructure to run PromptMage.
Frequently Asked Questions
What is PromptMage?
PromptMage is an open-source Python framework for building and managing complex, multi-step LLM applications. It provides version control for prompts, a testing playground, auto-generated APIs, and evaluation tools — all in a self-hosted package.
Is PromptMage free to use?
Yes, PromptMage is fully open source and free to use. You can self-host it on your own server or run it locally at no cost.
How do I get started with PromptMage?
You can install PromptMage via pip and have it running in approximately 5 minutes. The official documentation includes a Getting Started guide and a walkthrough to help you set up your first LLM workflow.
Does PromptMage support team collaboration?
Yes, PromptMage is designed for both small teams and large enterprises. Its built-in version control and result-sharing features facilitate collaboration between developers and domain experts or stakeholders.
What LLMs does PromptMage support?
PromptMage is a framework for building multi-step LLM workflows and is not tied to a specific model provider. It is designed to be used with a variety of LLMs, giving developers flexibility in their model choices.
