promptolution: A Unified, Modular Framework for Prompt Optimization

TL;DR

Promptolution is a modular open-source framework that streamlines prompt optimization for large language models, facilitating easy integration, benchmarking, and research reproducibility across diverse applications.

Contribution

It introduces a unified, extensible system that consolidates multiple prompt optimizers and supports systematic benchmarking, addressing practical adoption challenges.

Findings

Supports multiple prompt optimization algorithms

Enables reproducible benchmarking of prompt methods

Facilitates seamless integration into LLM pipelines

Abstract

Prompt optimization has become crucial for enhancing the performance of large language models (LLMs) across a broad range of tasks. Although many research papers demonstrate its effectiveness, practical adoption is hindered because existing implementations are often tied to unmaintained, isolated research codebases or require invasive integration into application frameworks. To address this, we introduce promptolution, a unified, modular open-source framework that provides all components required for prompt optimization within a single extensible system for both practitioners and researchers. It integrates multiple contemporary discrete prompt optimizers, supports systematic and reproducible benchmarking, and returns framework-agnostic prompt strings, enabling seamless integration into existing LLM pipelines while remaining agnostic to the underlying model implementation.