Function calling is a critical capability for building AI agents that can interact with external tools and APIs. This guide explains how to implement function calling in practice, allowing models to request tool invocations based on user queries. It covers the setup of function schemas, handling model responses, and executing tools safely. For developers building LLM applications, mastering function calling is essential for creating agents that can perform real-world tasks like database queries, API calls, or file operations. The article provides a step-by-step approach, making it accessible for developers new to agent development. As AI agents become more prevalent, understanding this pattern is key to building robust and useful applications. This content is evergreen, as function calling is a foundational technique that will remain relevant as LLM APIs evolve.
Learn how to use function calling to enable tool use in AI agents, a core pattern for LLM application development.