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

agentic-store-mcp

AgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 30+ 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.

gliner-py

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

promptpotter

PromptPotter: AI optimization engine for automated prompt engineering (APE). Searches and tunes prompts and parameters against your data using a generate-evaluate-critique cycle. Improve AI outputs, automate prompt optimization, and fine-tune your pipeline.

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%

textlasso

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

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.

aydie-prompt-forge

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

tuneprompt

PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions

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.

aiterate

AI artifact lifecycle management for prompts and agent skills: optimize, evaluate, version, trace, and promote changes from raw data and policies.

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

cognify-ai

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

segmate

SegMate: A Segmentation Toolkit

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.

promptdrifter

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

promptimal

A very fast, very minimal prompt optimizer

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.

prompt-hyperopt

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

kgeditor

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