PromptMage is a comprehensive Python framework designed to streamline the development of Large Language Model (LLM) based applications. This self-hosted solution offers an intuitive interface for creating and managing complex LLM workflows, complete with integrated version control capabilities and a robust testing environment.

The framework stands out with its FastAPI-powered automatic API generation, built-in prompt playground for rapid iteration, and comprehensive evaluation tools for both manual and automatic testing. While currently in alpha state, it provides essential features for developers and organizations looking to build reliable LLM applications with proper version control and collaboration features.

Promptotype offers a comprehensive environment dedicated to structured prompt engineering. It equips users with the necessary tools to develop, rigorously test, and effectively monitor tasks involving Large Language Models (LLMs). The platform simplifies the process of designing intricate prompt templates through an extended playground interface, enhancing the development workflow.

Users can define specific test queries, validate outputs against expected JSON schemas or values, and leverage an automatic fill feature for expected results. Promptotype supports batch testing of prompts across entire query collections, suitable for both development cycles and production readiness checks. It centralizes the management of prompt templates and model configurations, tracks the history of runs and tests, and integrates support for function calling, providing a robust solution for LLM application development.