Open source prompt ‑ optimizer tool

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“prompt‑optimizer”(Author: linshenkx), you can start optimizing by entering the prompt words. It supports multiple AI large models and can visually view and compare the optimization of prompt words.
Support online use, Chrome plug-ins, Vercel deployment, Docker deployment

Core positioning and characteristics

  • Pure front-end implementation: This tool adopts a pure client-side architecture, and all processing is done locally in the browser, with no back-end server participation, protecting user privacy
  • One-click intelligent optimization + multiple rounds of iteration: Prompt words can be intelligently optimized and multiple rounds of optimization iterations are supported to continuously improve the accuracy and quality of AI feedback
  • comparison test: Display the comparison results of “original prompt words” and “optimized prompt words” in real time to intuitively experience the optimization effect.
  • Multiple model support: Integrate multiple mainstream models:
    • OpenAI (e.g. GPT‑3.5, GPT‑4, GPT‑4o)
    • Google Gemini
    • DeepSeek
    • Zhipu AI
    • SiliconFlow
    • Supports users to configure customized services that are compatible with OpenAI‑API.
  • Advanced LLM parameter settings: Parameters such as temperature, max_tokens, top‑P can be adjusted individually for each model
  • Privacy and security design：
    • API key local encrypted storage
    • Historical data is only saved locally in the browser and can be imported/exported
  • Multi-end support：
  • Easy to deploy: The official provides Web online experience, Docker and Docker Compose deployment methods, and even deploy to Vercel with one click and add a password access mechanism.

🛠Usage

  1. online use: Direct access to online applications, simple interface, and local data processing.
  2. Chrome extension: After installation, you can call up the prompt word optimizer on any web page.
  3. Self-deployment method：
    • Docker/Compose: Pull the image or source code configuration environment variables (including API keys and access passwords) and run them.
    • Vercel deployment: Support CI, support setting access password control permissions

Applicable scenarios

  • AI Prompt Engineer: Rapid experimentation and iteration of Prompt Version.
  • That is, user: There is no need to write complex prompts by hand, and leave them to the optimizer to “polish” the prompts.
  • Multi-model comparator: Want to explore which model performs better in prompting optimization.
  • Privacy conscious: No server, only the browser processes sensitive information locally.

Comments from HelloGitHub community:

“This is a pure front-end implemented prompt optimizer that helps users quickly write higher-quality prompts. It supports multiple mainstream AI models and custom API addresses, and can compare the effects before and after optimization in real time.”

In addition, AI workers on X (formerly Twitter) also pointed out:

“It helps you refine AI prompts to get better results from LLMs. You can use it as a web application or a Chrome plugin.”

🎯Summary

prompt‑optimizer It is a comprehensive prompt word optimizer that is suitable for various users. It integrates the advantages of multiple model support, advanced parameter adjustment, privacy protection, and easy deployment. If you want to improve the effectiveness of prompts or explore differences between different models, this project is well worth a try.

Github：https://github.com/linshenkx/prompt-optimizer

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