JacobHuang91/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.

34
/ 100
Emerging

This tool helps developers building AI applications, such as chatbots or AI agents, efficiently manage the text they send to large language models. It takes raw text inputs like chat history, documents, or tool descriptions and automatically cleans and condenses them, resulting in smaller, more focused messages. This is ideal for anyone working on AI features that interact with users or external systems, who wants to ensure their applications run cost-effectively and within token limits.

Use this if you are developing AI applications like chatbots or agents and want to automatically optimize the text inputs sent to large language models, saving on API costs and fitting more context into your prompts.

Not ideal if you are an end-user of an AI application or if you are working with AI models that do not have token limits or cost implications based on input size.

AI-application-development chatbot-engineering LLM-cost-optimization context-management prompt-engineering
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 13 / 25
Community 8 / 25

How are scores calculated?

Stars

36

Forks

3

Language

Python

License

MIT

Last pushed

Dec 23, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/JacobHuang91/prompt-refiner"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.