基于应用程序接口依赖关系图路径搜索的工作流生成方法OA

Workflow programming is increasingly becoming an important software development paradigm,and intelligent workflow generation services can offer users a more efficient development process.However,existing workflow de-velopment platforms only provide basic assistance,such as candidate node recommendations or edge connection constraints.Although large language model-driven intelligent programming services have made significant progress in code generation,there are still many challenges in the field of workflow generation.This paper analyzes the com-mon hallucination problems of large language models during workflow generation and proposes a workflow generation method based on application programming interface(API)dependency graph-guided path search.By using API dependency graph to guide the path search,the model's output decoding space is constrained,effectively mitiga-ting hallucinations.Furthermore,we introduce various path search strategies,including outbound and inbound path searches,providing a novel chain-of-thought approach for workflow generation.Experimental results show that the proposed method achieves better performance compared to previous chain-of-thought techniques,and significantly reduces model hallucinations.