Prompting Python Packages

dotpromptz-handlebars

Executable GenAI prompt templates

swarms

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

prompt-poet

Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

dedent

Write multiline strings naturally. Keep every interpolation aligned.

dotprompt-handlebars

Executable GenAI prompt templates

smashed

SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.

agentlab

AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.

coolprompt

Automatic Prompt Optimization Framework

codemapper

Perfect for AI Prompts. CodeMapper is a python script that creates a comprehensive Markdown document representing the structure and contents of any given code base

instructvault

Git-native prompt linting, testing, versioning, and CI—without a hosted prompt registry.

sokrates

A Collection of handy llm interaction scripts including Prompt refinement, idea generation and a command line llm client

thumb

A simple prompt testing library for LLMs.

tree-of-thoughts-llm

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

easyinstruct

[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

vibeprompt

🦩VibePrompt. A lightweight Python package for adapting prompts by tone, style, and audience. Built on top of LangChain, VibePrompt supports multiple LLM providers and enables structured, customizable prompt transformations for developers, writers, and researchers.

promptify

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

genetic-prompt-lab

GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.

graph-of-thoughts

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

eaot

The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"

treeprompt

Tree prompting: easy-to-use scikit-learn interface for improved prompting.