Xianyu AutoAgent is a chatbot system designed to automate customer service operations on the Xianyu platform.
The system addresses the need for continuous, unattended customer service by implementing a multi-agent architecture that routes conversations to specialized handlers. It uses LLM-based prompt engineering for intent classification to determine whether a customer inquiry requires price negotiation, technical support, or general customer service responses. The tool maintains lightweight conversation history as context for the language model and supports dynamic agent switching across different scenarios.
The project is suited for teams operating on the Xianyu marketplace who need automated customer engagement without human intervention. It implements three core specialist agents: a price negotiation expert with tiered discount strategies, a technical support expert with web search integration, and a default customer service agent. The system includes basic logging for operational monitoring. Developers should note that the README indicates several features remain in planning stages, including sentiment analysis enhancement, market price comparison, RAG knowledge base integration, and Dingding notification integration alongside a web management interface.
Development activity shows the project maintains customizable prompt templates for each specialist agent through editable configuration files, allowing teams to adapt responses to their specific business needs. The README explicitly notes the project's special nature and indicates that updates or removal may occur at any time, suggesting this is an experimental or learning-focused initiative rather than a production-grade system with long-term stability guarantees.
