Prompt Tuning Python Packages

gliner

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

prompt-poet

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

tapeagents

TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle

textlasso

TextLasso is a Simple Python library for extracting structured data from raw text, with special focus on processing LLM (Large Language Model) responses.

agentic-store-mcp

AgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 27+ MCP tools, persistent memory, and SearXNG search, all protected by a built-in PII prompt firewall to protect your data from being exposed to AI agents.

tree-of-thoughts

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

docoreai

DoCoreAI is an AI prompt optimization tool for developers and teams to reduce LLM cost, improve output, and analyze GPT prompt efficiency—no fine-tuning needed.

sammo

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

deltakg

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

lopace

LoPace is a bi-directional encoding framework designed to reduce the storage footprint of long-form LLM system prompts by up to 80% without any bit-level information loss, enabling efficient database indexing and rapid context retrieval.

aydie-prompt-forge

A modern toolkit for creating, managing, and testing LLM prompts as code.

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

segmate

SegMate package

cognify-ai

The Automated Optimizer for GenAI Workflows

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.

prompt-hyperopt

Improve prompts for e.g. GPT3 and GPT-J using templates and hyperparameter optimization.

promptdrifter

🧭 PromptDrifter – one‑command CI guardrail that catches prompt drift and fails the build when your LLM answers change.

dynamic-prompting

Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.

promptimal

Optimize your prompts in the terminal

kgeditor

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

state-op

A state engine for natural language processing that supports custom operators