Developers can build AI agents using function calling to interact with external systems

A new guide details how to build AI agents using function calling. This technique allows large language models to execute code, call APIs, and query databases. The guide focuses on creating production-ready systems with proper validation and error handling. It provides implementation patterns to transform language models from text generators into action-taking agents. The process involves the LLM analyzing requests, executing functions, and then synthesizing a final response.