CTLab-ITMO/CoolPrompt
Automatic Prompt Optimization Framework
This framework helps AI developers and researchers efficiently create and optimize text prompts for large language models (LLMs). It takes a basic idea or task description and automatically refines it into a highly effective prompt, improving the quality of the LLM's output. It can also generate synthetic data for model evaluation, helping to fine-tune and assess LLM performance for specific applications.
178 stars. Available on PyPI.
Use this if you need to rapidly develop and refine high-quality prompts for various LLM-powered tasks or generate synthetic data for evaluating LLM responses.
Not ideal if you are looking for a simple, no-code tool for basic prompt creation without needing advanced optimization or evaluation features.
Stars
178
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
16
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