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ChatArena

ChatArena

ChatArena is a framework for creating and running multi-agent language game environments that evaluate and develop communication and collaboration behaviors in large language models.

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ChatArena is an open-source framework for building and studying multi-agent language game environments for large language models. It provides a structured way to create scenarios in which multiple LLM-based agents interact, communicate, compete, or collaborate through natural language. Researchers and developers can define environments as β€œgames” with configurable rules, roles, goals, and rewards, then observe how agents behave and improve over time.

The framework supports turn-based interactions, role assignment, and flexible conversation flows, making it suitable for tasks such as negotiation, debate, cooperative problem-solving, instruction following, and social simulations. ChatArena is model-agnostic: it can integrate different LLM backends and agent policies, enabling direct comparison of models and strategies in identical environments. It also supports human-in-the-loop setups, where humans can participate as agents or evaluators.

Tags

multi-agent LLM frameworklanguage game environmentsmulti-agent negotiation simulationAI research and evaluationmulti-agent chat arena

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