Promptomatix
An AI-driven framework built on DSPy that automates prompt engineering for large language models, generating synthetic data, selecting optimization techniques and iteratively refining prompts.
Promptomatix automates and optimizes large language model prompts, aiming to reduce the trial-and-error of manual prompt engineering while keeping outputs consistent and cost-effective. It uses DSPy and other optimization techniques to refine prompts based on task requirements, synthetic data and user feedback.
Its architecture separates input processing, which analyzes a task's type and requirements; synthetic data generation for training and testing; an optimization engine that uses DSPy or meta-prompt backends to iteratively improve prompts; an evaluation system with task-specific metrics; feedback integration for human input; and session management that tracks progress and logs.
It automatically analyzes a task and configures prompts without manual setup, supports OpenAI, Anthropic and Cohere as model providers, and offers both a command-line interface and a REST API.