Prompt Engineering Tool Python Packages

agentpack-cli

Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.

agent-actions

Declarative framework for orchestrating multi-model Agentic pipelines with context engineering and quality gates.

tenets

Local-first MCP server for intelligent context that feeds your prompts

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.

instructvault

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

promptkit-core

Lint and test your LLM prompts before they reach production.

aiterate

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

jsonedit

jsonedit is a structure-first JSON editor designed for composing and reshaping hierarchical meaning — ideal for LLM prompt construction, context curation, and knowledge assembly.

promptchain

Chain two LLMs — local or cloud: a Prompter that refines your idea, and a Coder that writes the code.