XianyuAutoAgent

One-Minute Overview#

XianyuAutoAgent is an AI-powered on-duty solution designed specifically for the Xianyu platform, enabling 24/7 automated support. It supports multi-expert collaborative decision-making, including intelligent bargaining experts and technical support experts, with context-aware conversation capabilities. If you're a Xianyu seller looking to improve customer service response efficiency and automatically handle inquiries and technical issues, this project can help you achieve automated operations.

Core Value: Achieve 24/7 automated customer service on Xianyu without manual intervention, significantly improving response speed and conversion rates.

Quick Start#

Installation Difficulty: Medium - Requires obtaining Xianyu cookies and configuring LLM API, suitable for users with basic technical knowledge

# Clone the repository
git clone https://github.com/shaxiu/XianyuAutoAgent.git
cd XianyuAutoAgent

# Install dependencies
pip install -r requirements.txt

# Configure environment variables
Create a .env file with necessary configurations including API_KEY, COOKIES_STR, etc.

Is this suitable for me?

• ✅ Xianyu sellers who need automatic replies to customer inquiries
• ✅ Want to implement intelligent bargaining to improve transaction success rates
• ✅ Need technical support to automatically answer product-related questions
• ❌ Not familiar with Python and API configuration
• ❌ Require a complete web management interface (currently in planning)

Core Capabilities#

1. Intelligent Dialogue Engine - Automatically identify user intent and route to experts#

• Uses prompt engineering for intent recognition to automatically route user inquiries to appropriate expert roles User Value: No manual judgment needed, automatically routes complex questions to the most suitable expert for handling

2. Multi-Expert Collaboration System - Seamless switching between bargaining/technical/customer service experts#

• Provides three expert roles: price expert, technical expert, and default customer service, intelligently switching based on context User Value: Provides professional responses for different types of inquiries, improving conversion rates and user satisfaction

3. Context-Aware Conversation - Maintains complete conversation history#

• Lightweight conversation memory management, complete dialogue history as LLM context input User Value: Allows AI to understand conversation context, providing coherent and targeted responses

4. Intelligent Bargaining System - Step-by-step price reduction strategy#

• Automatically responds to bargaining with preset strategies, supporting step-by-step price reductions User Value: Automates the bargaining process, reducing manual intervention and improving conversion rates

Technology Stack & Integration#

Development Language: Python Key Dependencies: LLM API (default: Tongyi Qianwen), conversation history storage module Integration Method: Requires configuration of Xianyu cookies and LLM API keys

Maintenance Status#

• Development Activity: The project is actively developed with core features implemented, and some features are still in planning
• Recent Updates: The project has been updated recently, with maintainers continuously improving it
• Community Response: Has a dedicated project communication group with good community response

Documentation & Learning Resources#

• Documentation Quality: Basic - Provides installation, configuration, and basic usage instructions
• Official Documentation: README file contains detailed installation and usage instructions
• Sample Code: Provides configuration examples and prompt templates