2026年Function Calling最佳实践:从Schema设计到安全防护的完整指南

📄 中文摘要

Function Calling(FC)是AI Agent的重要组成部分,类似于人类的手,赋予AI执行任务的能力。FC的核心在于让大语言模型(LLM)理解工具的能力边界,选择合适的工具并构造正确的参数,而不仅仅是调用API。通过对Schema的设计和安全防护的深入分析,提供了2026年FC的最佳实践,帮助开发者更好地利用这一技术提升AI的实用性和安全性。

📄 English Summary

Function Calling最佳实践2026:从Schema设计到安全防护的完整指南

Function Calling (FC) is a crucial component of AI Agents, akin to the human hand, enabling AI to perform tasks. The essence of FC lies in allowing large language models (LLMs) to understand the boundaries of tool capabilities, select the appropriate tools, and construct the correct parameters, rather than merely calling APIs. A comprehensive analysis of schema design and security measures presents the best practices for FC in 2026, assisting developers in leveraging this technology to enhance the practicality and safety of AI.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等