Building intelligent systems with Rust just got smoother. The Rig library streamlines LLM orchestration through a clean, developer-friendly architecture. Here's how it works in practice:

Start with credential management—Client::from_env() handles authentication automatically by reading your environment variables. No manual credential passing, no security headaches.

Then configure your AI agent. The Agent Builder pattern lets you specify the model and system instructions upfront. Think of it as setting the personality and rules of engagement for your LLM before execution begins.

Execution happens asynchronously. By implementing the Prompt trait, you get non-blocking I/O operations out of the box. This means your application stays responsive even during heavy LLM calls—critical for production systems handling concurrent requests.

The beauty? Everything integrates seamlessly. Async operations eliminate bottlenecks, the builder pattern keeps configuration clean, and environment-based initialization simplifies deployment across different environments. That's modern Rust LLM development right there.