prompt-optimization

一款提示词优化器，助力于编写高质量的提示词

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

End-to-end Generative Optimization for AI Agents

Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.

Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

A very fast, very minimal prompt optimizer

MCP server integrating GEPA (Genetic-Evolutionary Prompt Architecture) for automatic prompt optimization with Claude Desktop

A framework for pitting LLMs against each other in an evolving library of games ⚔

State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more

A framework for prompt optimization and a zoo of prompt optimization algorithms

A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large language models.

PromptCraft is a prompt perturbation toolkit from the character, word, and sentence levels for prompt robustness analysis. PyPI Package: pypi.org/project/promptcraft

This repository serves as a central hub for discovering tools and services focused on automated prompt engineering. Whether you're looking to optimize your prompts for generative AI models or enhance the capabilities of your agents, you'll find a wide range of resources here.

Advanced MCP server providing cutting-edge prompt optimization tools with research-backed strategies

We introduce CAPO, a novel prompt optimization algorithm that integrates racing and multi-objective optimization for cost-efficiency and leverages few-shot examples and task descriptions, outperforming SOTA discrete prompt optimization methods.

Enterprise-grade prompt engineering toolkit: Distilled best practices, production-ready meta-prompts, and a professional AI agent that transforms simple requirements into battle-tested prompts.

Official implementation for "GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Models" (stay tuned & more will be updated)

Unofficial langchain implementation of "Large Language Models as Optimizers".

KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization

Build sophisticated AI instructions with intuitive visual blocks.