Getting started with BoxLang AI & Multiple LLMs

"Getting started with BoxLang AI & Multiple LLMs" is a practical intro to BoxLang AI, the unified API for talking to many Large Language Model providers from a single, fluent BoxLang API. You’ll learn how to configure providers, send your first chat requests, and switch between (or combine) multiple LLMs without rewriting your code.

In this session, we’ll cover:

• What BoxLang AI is and how it plugs into your BoxLang apps as a single abstraction over many AI providers.
• Basic setup and configuration, including keys, providers, and environment settings so you can call your first model in minutes.
• Core patterns for chat, completion, and structured responses using a fluent, functional API.
• How to route different use cases to different LLMs (or fall back between them) with simple configuration changes instead of new SDKs.
• Ideas for next steps, like adding memory, agents, and RAG once you’re comfortable with the basics.

You’ll walk away with working examples and a clear mental model for how to start using multiple LLMs in your BoxLang applications today.