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  • A Python framework using LLMs to autonomously evaluate, propose, and finalize negotiations in customizable domains.
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    What is negotiation_agent?
    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.
    negotiation_agent Core Features
    • Domain modeling with items and utility functions
    • LLM-based agent templates for negotiation
    • Standardized offer and counteroffer protocols
    • Batch simulation for tournaments and experiments
    • Performance metrics: agreement rate, utility, fairness
    • Extensible architecture for custom strategies and plugins
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