Overview
gpt-prompt-engineer helps teams and researchers systematize prompt engineering. Given a task description and test cases, it generates candidate prompts, runs them against test cases, and ranks them (e.g. with an ELO-like system) to surface higher-quality prompts.
Core features
- Candidate prompt generation and batch testing across many test cases.
- ELO-based ranking to evaluate and surface the best prompts.
- Support for multiple model backends (GPT, Claude) and optional integrations for logging (Weights & Biases, Portkey).
Use cases
- Systematic exploration of prompt variations for production or research use.
- Building prompt libraries to improve application reliability and performance.
- Prompt optimization for classification or generation tasks.
Technical highlights
- Notebook-first workflow (Jupyter / Colab) for reproducible experiments.
- Extensible test-case and evaluation pipeline for automated benchmarking.
- Lightweight dependencies focused on experimentation rather than production deployment.