Unit 3 · Build a reliable AI-powered feature

Run your first typed AI call

You run a declared program with a provider and typed input. The returned object follows the output side of your signature.

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Unit example (nearest native match)

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var answer = Ax.ax("question:string -> answer:string");

Create the program
The signature asks for an answer and a numeric confidence.
Pass a provider and input
forward() runs the program with llm and the required question.
Use the typed result
result exposes the declared output fields instead of raw model text.

Run itIn your own project

// Gradle (build.gradle):
implementation 'dev.axllm:ax:24.0.15'
// Maven (pom.xml):
<dependency>
  <groupId>dev.axllm</groupId>
  <artifactId>ax</artifactId>
  <version>24.0.15</version>
</dependency>

import dev.axllm.ax.Ax;
import java.util.Map;

public class QuickStart {
  public static void main(String[] args) throws Exception {
    var llm = Ax.ai("openai", Map.of("apiKey", System.getenv("OPENAI_API_KEY")));
    var classify = Ax.ax("review:string -> sentiment:class \"positive, negative, neutral\"");
    var result = classify.forward(llm, Map.of(
      "review", "Useful and boring in the best way."
    ));

    System.out.println("sentiment: " + result.get("sentiment"));
  }
}

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/BasicGenerationExample.java

Active practice

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