CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing

• URL: http://arxiv.org/abs/2501.05255v2
• Date: Thu, 24 Apr 2025 15:43:32 GMT
• Title: CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing
• Authors: Yewei Song, Xunzhu Tang, Cedric Lothritz, Saad Ezzini, Jacques Klein, Tegawendé F. Bissyandé, Andrey Boytsov, Ulrick Ble, Anne Goujon,
• Abstract summary: This work contributes to the evaluation and assessment of AI-based software development.<n>Novel benchmarking specifically designed for API function selection, parameter generation, and nested API execution.<n>An empirical evaluation of state-of-the-art language models, analyzing their performance.<n>A hybrid approach to API routing, combining general-purpose large language models for API selection with fine-tuned models and prompt engineering.
• Score: 7.443502461016052
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: API-driven chatbot systems are increasingly integral to software engineering applications, yet their effectiveness hinges on accurately generating and executing API calls. This is particularly challenging in scenarios requiring multi-step interactions with complex parameterization and nested API dependencies. Addressing these challenges, this work contributes to the evaluation and assessment of AI-based software development through three key advancements: (1) the introduction of a novel dataset specifically designed for benchmarking API function selection, parameter generation, and nested API execution; (2) an empirical evaluation of state-of-the-art language models, analyzing their performance across varying task complexities in API function generation and parameter accuracy; and (3) a hybrid approach to API routing, combining general-purpose large language models for API selection with fine-tuned models and prompt engineering for parameter generation. These innovations significantly improve API execution in chatbot systems, offering practical methodologies for enhancing software design, testing, and operational workflows in real-world software engineering contexts.

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