Unit 2 · Make AI outputs predictable

Reuse the same contract everywhere

You keep a field’s meaning stable as it moves through generators, tools, flows, agents, and events. That makes composed systems easier to validate and evaluate.

6 focused minutesNot started

Unit example (nearest native match)

See the idea in context

var sig = Ax.s("email:string -> priority:class \"high, normal, low\"");

Name the capability
lookup gives the model and traces a stable tool name.
Type the boundary
ticketId and the JSON result use the same field vocabulary as Ax programs.
Keep execution in your app
The handler owns the real lookup and returns the declared result.

Run itIn your own project

// Gradle (build.gradle):
implementation 'dev.axllm:ax:22.0.4'
// Maven (pom.xml):
<dependency>
  <groupId>dev.axllm</groupId>
  <artifactId>ax</artifactId>
  <version>22.0.4</version>
</dependency>

import dev.axllm.ax.Ax;

var llm = Ax.ai("openai", Map.of("apiKey", System.getenv("OPENAI_API_KEY")));
var classify = Ax.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 -- java src/examples/java/generation/StructuredGenerationExample.java

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