Unit 6 · Solve long and complex tasks

Control how much history the model sees

You choose how aggressively earlier actions are summarized without deleting live runtime values. Checkpointed with a balanced budget is the practical starting point.

contextPolicy8 focused minutesNot started

Unit example (nearest native match)

See the idea in context

let investigator = agent_with_options(signature, json!({
    "contextFields": ["logs"],
    "contextPolicy": {"preset": "lean", "budget": "balanced"},
    "runtime": {"language": "JavaScript"},
}))?.with_runtime(Box::new(QuickJsCodeRuntime::new()))?;

Run itIn your own project

cargo add axllm

use axllm::{ai, ax};
use serde_json::json;

let llm = ai("openai", json!({"apiKey": std::env::var("OPENAI_API_KEY")?}))?;
let classify = ax("review:string -> sentiment:class \"positive, negative, neutral\"")?;

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/long-agents/incident_log_forensics.rs

Active practice

Show that you can use it

Answer 2 in a row to learn this · attempt 1

Keep exploring

See the idea in context

Show that you can use it

Source-backed follow-up