Prompt-engineering Packages

A command-line tool for scanning and documenting codebases, with special support for .NET solutions

A CLI tool to build context files to attach to Large Language Models (LLMs).

Lightweight, composable LLM nodes for TypeScript

Applying the methods of analytical augmentation to build a transynthetical engine that maintains and build a stateful archive of all JS functions generated.

Tool for prompt caching openai gpt responses. It will store your prompt template as well as parameters in local cache and use it next time you send the same request.

A server that saves the cached data from the local prompt-eng cache to a database.

Simple type-safe prompt generator - No need to go through long articles or cheatsheets to make sure you are considering the factors required for a simple prompt.

Pack projects into a single text file for AI prompts

An easy-to-use prompt builder for creating structured prompts

Start an agent which continuously refines and engineers your AI prompt.

An intelligent model selection and recommendation engine

A library for creating and managing prompts

Help you better prompt by using prompt engineering technique like external interpreter, chain of thought.

A flexible AI agent builder for structured prompts and responses

Strip polite fluff from AI prompts to cut token use and cost.

A flexible system for creating and managing AI characters with platform-specific response styles and personality traits.

A lightweight and efficient prompt builder for LLM chat completions.

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Promptbook: Run AI apps in plain human language across multiple models and platforms

Promptbook: Run AI apps in plain human language across multiple models and platforms