POML: Prompt Orchestration Markup Language
POML (Prompt Orchestration Markup Language) is a novel markup language designed to bring structure, maintainability, and versatility to advanced prompt engineering for Large Language Models (LLMs). It addresses common challenges in prompt development, such as lack of structure, complex data integration, format sensitivity, and inadequate tooling. POML provides a systematic way to organize prompt components, integrate diverse data types seamlessly, and manage presentation variations, empowering developers to create more sophisticated and reliable LLM applications.
Demo Video
Key Features
Structured Prompting Markup : Employs an HTML-like syntax with semantic components such as
: Employs an HTML-like syntax with semantic components such as , , and to encourage modular design, enhancing prompt readability, reusability, and maintainability. Comprehensive Data Handling : Incorporates specialized data components (e.g., : Incorporates specialized data components (e.g., , , ) that seamlessly embed or reference external data sources like text files, spreadsheets, and images, with customizable formatting options. Decoupled Presentation Styling : Features a CSS-like styling system that separates content from presentation. This allows developers to modify styling (e.g., verbosity, syntax format) via : Features a CSS-like styling system that separates content from presentation. This allows developers to modify styling (e.g., verbosity, syntax format) via definitions or inline attributes without altering core prompt logic, mitigating LLM format sensitivity. Integrated Templating Engine : Includes a built-in templating engine with support for variables ( {{ }} ), loops ( for ), conditionals ( if ), and variable definitions ( : Includes a built-in templating engine with support for variables ( ), loops ( ), conditionals ( ), and variable definitions ( ) for dynamically generating complex, data-driven prompts. Rich Development Toolkit : IDE Extension (Visual Studio Code) : Provides essential development aids like syntax highlighting, context-aware auto-completion, hover documentation, real-time previews, inline diagnostics for error checking, and integrated interactive testing. Software Development Kits (SDKs) : Offers SDKs for Node.js (JavaScript/TypeScript) and Python for seamless integration into various application workflows and popular LLM frameworks. : ... continue reading ,
) that seamlessly embed or reference external data sources like text files, spreadsheets, and images, with customizable formatting options.