本文围绕大语言模型（LLMs）智能应用中的工具与数据接入问题，系统介绍了两种主流方案：基于 Agent + Function Call 的动态调度机制与基于 MCP（Model Context Protocol）的标准化接入框架。通过梳理各自的工作原理、应用流程及典型实践，分析了不同场景下的适用性选择。

内容丨特工少女 编辑丨特工小鹏 特工十五 众所周知，目前 DeepSeek R1 有一个很大的痛点是不支持 Function Call 的。GitHub 上有 ...

The Groq API has introduced official support for function calling, enhancing the interaction between language models and the external world through API calls. This new feature allows for a variety of ...

Function calling is a feature that allows you to describe specific functions to ChatGPT models within an API call. The model, in turn, intelligently decides whether to generate a JSON object, ...