XianyuAutoAgent integrates OpenAI’s language models to monitor incoming messages from potential buyers on Xianyu, automatically generate context-aware replies, handle price negotiation dialogs, and update item listings. Sellers configure their account credentials and messaging rules, then the agent runs continuously to ensure fast, consistent communication, maximize conversion rates, and free up time for strategic selling activities. It supports multi-account setups, customizable response templates, and can be scheduled for 24/7 operation.

negotiation_agent provides a modular toolkit for building autonomous negotiation bots powered by GPT-like models. Developers can specify negotiation scenarios by defining items, preferences, and utility functions to model agent objectives. The framework includes pre-defined agent templates and allows integration of custom strategies, enabling offer generation, counteroffer evaluation, acceptance decisions, and deal closure. It manages dialogue flows using standardized protocols, supports batch simulations for tournament-style experiments, and calculates performance metrics such as agreement rate, utility gains, and fairness scores. The open architecture facilitates swapping underlying LLM backends and extending agent logic through plugins. With negotiation_agent, teams can quickly prototype and evaluate automated bargaining solutions in e-commerce, research, and educational settings.