PromptPrism is a unified, polyglot prompt optimization framework designed to refine, evaluate, and deploy prompts across any LLM provider and programming language. Just as a physical prism takes a single beam of light and refracts it into a spectrum of colors, PromptPrism takes your core prompt intent and refracts it across different models (OpenAI, Anthropic, Llama, etc.) and tech stacks (TypeScript/JS, Python, Rust, Go). It provides a universal abstraction layer that eliminates provider lock-in and language barriers, empowering developers to systematically iterate, A/B test, and auto-tune their prompts for peak performance—no matter their ecosystem. Core Features:
- 🌈 Polyglot by Design: Native support for TypeScript/JS, Python, Rust, and Go. Write your optimization logic once, or leverage language-specific idioms.
- 🔗 Provider-Agnostic: Seamlessly switch between OpenAI, Anthropic, Google, or local/Open-source models without rewriting your prompts.
- 🔍 Automated Refinement: Built-in engines for prompt evolution, A/B testing, and feedback-loop optimization to find the most effective phrasing.
- 🧩 Unified Abstraction: One canonical prompt format, refracted and adapted automatically to fit the specific nuances and system-message structures of different LLMs.