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。

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 ...

Anthropic has introduced function calling and the use of external tools to its Claude 3 family of AI models. This enhancement allows the large language models to overcome inherent limitations by ...

Enterprises are bullish on agentic applications that can understand user instructions and intent to perform different tasks in digital environments. It’s the next wave in the age of generative AI, but ...

As OpenAI has gained more popularity than ever thanks to the launch of ChatGPT last fall, its application programming interface (API) has also become a sought-after tool for developers. Different ...