Branch, loop, and run work in parallelYou keep important branches, loops, and parallel work under application control. The model handles typed steps instead of improvising the orchestration plan.rustacademyacademy/topics/flow-controlwebsite/content-src/academy/course.mjsacademyBranch, loop, and run work in parallel
You keep important branches, loops, and parallel work under application control. The model handles typed steps instead of improvising the orchestration plan.
9 focused minutesNot started
Unit example (nearest native match)
See the idea in context
let mermaid = r#"flowchart TD
%%ax classify: request:string -> route:class "support, sales"
classify{route}"#;
let program = flow(mermaid);
println!("{}", program);
Run itIn your own project
cargo add axllm
use axllm::{ai, ax, AxResult};
use serde_json::json;
fn main() -> AxResult<()> {
let mut llm = ai("openai", json!({"apiKey": std::env::var("OPENAI_API_KEY")?}))?;
let mut classify = ax("review:string -> sentiment:class \"positive, negative, neutral\"")?;
let result = classify.forward(&mut llm, json!({
"review": "Useful and boring in the best way."
}))?;
println!("sentiment: {}", result["sentiment"].as_str().unwrap_or_default());
Ok(())
}
Set OPENAI_APIKEY in your environment before running provider-backed code.
In the ax repo
From a clone of the ax repo:
npm run example -- rust src/examples/rust/flows/branch_flow.rs