Prompt Optimization Python Packages

textgrad

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

dspy-code

Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant

synth-optimizers

GEPA and GELO optimizer runbooks, SDKs, and hosted optimizer surfaces for Synth.

omegaprompt

The overfit gate for your prompts: re-test the winning prompt on held-out examples it never tuned on, and block the ship if it doesn't generalize. Sits on top of promptfoo/DSPy. CLI + MCP + CI.

promptune

Local-first CLI that rewrites rough prompts into precise ones before they hit your AI — rule-based, local, or cloud. MIT.

trace-opt

End-to-end Generative Optimization for AI Agents

llm-prompt-refiner

🚀 Lightweight Python library for building production LLM applications with smart context management and automatic token optimization. Save 10-20% on API costs while fitting RAG docs, chat history, and prompts into your token budget.

ace-playbook

ACE — Agentic Context Engineering: evolving, self-improving context playbooks for LLM agents. Faithful ICLR 2026 implementation with OpenAI Agents SDK support.

instructvault

Git-first prompt registry + CI evals + lightweight runtime SDK (ivault).

aiterate

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

tok-protocol

tok is an invisible bridge

autoresearch-prompt-manager

Autonomous prompt management with versioning, A/B experiments, metrics, and LLM-driven optimization. Built on agno.

promptcraft

PromptCraft: A Prompt Perturbation Toolkit for Prompt Robustness Analysis

dspy-security-bench

Measure how DSPy prompt optimization affects the prompt-injection robustness of agentic LLM programs, using AgentDojo's attack suite.

marketing-agent-example

Example marketing content agent demonstrating the full prompt-manager stack

autoresearcher-shonku

Autonomous prompt management with versioning, A/B experiments, metrics, and LLM-driven optimization. Built on agno.

prompt-groomer

🚀 Lightweight Python library for building production LLM applications with smart context management and automatic token optimization. Save 10-20% on API costs while fitting RAG docs, chat history, and prompts into your token budget.

flowprompt-ai

Type-safe prompt management with automatic optimization for LLMs. DSPy-style optimization, A/B testing, multimodal support, and more.

scope-optimizer

SCOPE: Self-evolving Context Optimization via Prompt Evolution - A framework for automatic prompt optimization

evolvers

Evolvable AI programs: define a function + criteria, let an LLM iteratively improve it

shonku

Build, publish, and run AI agents as PyPI packages — wraps agno

promptfoundry

Runtime prompt control and versioning for production apps

toonprompt

Universal prompt optimization wrapper for coding CLIs that compresses structured context into Toon-style blocks.

siare

Self-Improving Agentic RAG Engine - Evolve multi-agent RAG pipelines using Quality-Diversity optimization