A Human-in-the-loop API Sequencing Tool Powered by AI Planning

Jungkoo Kang, Tathagata Chakraborti, Junkyu Lee, Michael Katz, Shirin Sohrabi, Gaodan Fang, Punleuk Oum, Prabhat Reddy, Diego del Rio, Debashish Saha, Gegi Thomas, Benjamin Herta, Jim Laredo, Alina Rotarescu, Alice Zhang, Suzette Samoojh

Keywords: API Sequencing Tool, top-quality planning

Abstract: In this demo, we present a real-time API recommender system powered by an automated planner. Our tool generates multiple API recommendations for over 600 APIs within a bound of 5 seconds. By inputting a partial list of APIs, our tool dynamically fills in missing components to create a more functional or complete workflow. While this task has been historically perceived as solely a data-driven endeavor, we demonstrate how a planner can be harnessed to utilize both association information and structural dependencies between different APIs. As part of the demonstration, we also report on data gathered from the initial deployment of the tool.

Submission Number: 4