prompt-poet and ppromptor
These are complements: Prompt-Promptor generates prompts programmatically via LLMs while Prompt-Poet provides a framework to refine and optimize those generated prompts for production use.
About prompt-poet
character-ai/prompt-poet
Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
Combines YAML-based prompt structure with Jinja2 templating to support conditional logic, dynamic message lists, and LangChain integration—enabling features like context-aware few-shot examples and automatic message truncation by priority. Built-in tokenization provides granular token accounting across nested prompt sections, helping optimize context length constraints. Handles complex, compositional prompts through template includes and variable interpolation while maintaining clean separation between prompt logic and data.
About ppromptor
pikho/ppromptor
Prompt-Promptor is a python library for automatically generating prompts using LLMs
Employs a three-agent architecture (Proposer, Evaluator, Analyzer) that iteratively refines prompts through collaborative feedback loops and human expert input. Supports both proprietary APIs (OpenAI) and open-source models (LLaMA, WizardLM), enabling weaker models to be guided by stronger LLMs. Provides a Streamlit-based web interface with experiment tracking and side-by-side prompt comparison for managing the prompt engineering workflow.
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