Function calling using LLMs

AI agents with function calling can interpret user intent and interact with external tools. A shopping agent example shows how this analyzes natural language to select and execute actions like product searches. The implementation uses OpenAI's API and a GPT model to decide actions based on user input and conversation history. Key components include a system prompt, function schemas, and action classes invoking relevant APIs. This approach offers more flexibility than traditional rules engines but requires safeguards against misuse.