As the demand for artificial intelligence (AI) grows to address complex real-world tasks, single models are often insufficient, requiring the integration of multiple models into pipelines. This paper introduces Bel Esprit, a conversational agent designed to construct AI model pipelines based on user-defined requirements. Bel Esprit employs a multi-agent framework where subagents collaborate to clarify requirements, build, validate, and populate pipelines with appropriate models. We demonstrate the effectiveness of this framework in generating pipelines from ambiguous user queries, using both human-curated and synthetic data. A detailed error analysis highlights ongoing challenges in pipeline construction. Bel Esprit is available for a free trial at https://belesprit.aixplain.com.

翻译：随着人工智能（AI）应对复杂现实任务的需求日益增长，单一模型往往不足以胜任，需要将多个模型集成到流水线中。本文介绍了Bel Esprit，一个基于用户定义需求构建AI模型流水线的对话式智能体。Bel Esprit采用多智能体框架，其中子智能体协同工作以澄清需求、构建、验证流水线并为其填充合适的模型。我们通过使用人工标注和合成数据，展示了该框架在从模糊用户查询生成流水线方面的有效性。详细的错误分析突显了流水线构建中持续存在的挑战。Bel Esprit可在 https://belesprit.aixplain.com 免费试用。