Prompt Optimizer is a web-based and Chrome extension tool designed to help users craft higher-quality AI prompts, thereby improving AI output. It targets AI users, developers, and researchers seeking to enhance their interactions with large language models.

How It Works

The tool functions as a client-side application, processing data directly within the user's browser. It supports multiple AI models, including OpenAI, Gemini, and DeepSeek, allowing for direct comparison of original and optimized prompts. A key architectural choice is its "secure architecture," which ensures data, including API keys, is handled client-side and interacts directly with AI service providers, avoiding intermediate servers for enhanced privacy and security.

Quick Start & Requirements

• Online Version: Access directly at https://prompt.always200.com.
• Vercel Deployment: One-click deployment via Vercel or forking the repository. See Vercel部署指南.
• Chrome Plugin: Install from the Chrome Web Store: Prompt Optimizer.
• Docker: docker run -d -p 80:80 --restart unless-stopped --name prompt-optimizer linshen/prompt-optimizer. API keys can be passed via environment variables (e.g., -e VITE_OPENAI_API_KEY=your_key). Docker Compose instructions are also available.
• Local Development: Requires pnpm for dependency management (pnpm install, pnpm dev).
• Prerequisites: API keys for supported AI models (OpenAI, Gemini, DeepSeek, custom APIs).

Highlighted Details

• Supports multi-round prompt iteration and optimization.
• Features real-time comparison between original and optimized prompts.
• Offers client-side storage for history and API keys with local encryption.
• Vercel deployment supports an Edge Runtime proxy to mitigate cross-origin issues.

Maintenance & Community

The project is actively maintained, with a roadmap indicating ongoing development. Community discussion can be found via Issues and Pull Requests on GitHub.

Licensing & Compatibility

The project is licensed under the MIT license, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

Using the Vercel proxy feature may trigger risk control mechanisms from some AI service providers, potentially leading to service restrictions. For commercial APIs with strict cross-origin limitations, self-hosting an intermediary API service is recommended.