This project provides an automated customer service system for the Xianyu platform, designed for users managing multiple Xianyu accounts. It offers intelligent auto-replies, automated order fulfillment, and comprehensive account management features, aiming to streamline operations for sellers.

How It Works

The system utilizes a WebSocket connection to interact with the Xianyu platform in real-time, processing messages and executing automated actions. It employs a FastAPI backend for its web interface and API, with SQLite for data storage, ensuring data isolation for multi-user support. Key features include keyword-based and AI-powered replies, automated order confirmation, and dynamic shipping rules, all managed through a user-friendly web interface.

Quick Start & Requirements

• Docker Deployment (Recommended):

  # Create data directory
  mkdir -p xianyu-auto-reply
  # Start container
  docker run -d \
    -p 8080:8080 \
    -v $PWD/xianyu-auto-reply/:/app/data/ \
    --name xianyu-auto-reply \
    registry.cn-shanghai.aliyuncs.com/zhinian-software/xianyu-auto-reply:1.0
  

  Access at http://localhost:8080.
• Source Code Deployment: Requires Python 3.11+, Node.js 16+, and Docker. Playwright browsers need to be installed (playwright install chromium).
• Default Admin: Username: admin, Password: admin123.

Highlighted Details

• Supports multi-user, multi-account management with strict data isolation.
• Features AI-powered replies integrating OpenAI and other models.
• Includes automated order confirmation and shipping with multi-specification support.
• Offers real-time Xianyu item search using Playwright.

Maintenance & Community

The project is actively maintained by zhinianboke. Community support is available via QQ and WeChat groups.

Licensing & Compatibility

The project is licensed under a restrictive, non-commercial license. It explicitly prohibits commercial use, sales, or any form of profit-making. Use is permitted for personal learning and research, with requirements to retain author information and copyright notices.

Limitations & Caveats

The project is strictly for learning and research purposes and prohibits commercial use. The README contains promotional text for Cursor Pro, which is unrelated to the project's functionality.