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.

docoreai

Self-tuning AI budgets, built privacy-first.

tapeagents

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

gliner-py

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

agentic-store-mcp

Model Context Protocol (MCP) Server for AI Data Privacy: LLM prompt firewall, audit logs, and 31 MCP tools for Claude, Cursor, and Windsurf.

aiterate

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

sammo

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

textlasso

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

tree-of-thoughts

Tree of Thoughts - Pytorch

aydie-prompt-forge

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

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.

sentrytriage

Local AI triage for IP-camera events (Tesla Sentry, Wyze, Reolink, UniFi, Ring, Nest)

vibeprompt

Your words. Their way. Perform style and audience adaptation for your prompts.

cognify-ai

The Automated Optimizer for GenAI Workflows

promptify

Use GPT or other prompt based models to get structured output

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.

segmate

SegMate: A Segmentation Toolkit

prompt-hyperopt

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

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

A library that provides a tool to edit model easily.