Unit 11 · Ship AI systems you can operate

Fall back without changing your app contract

You route across models by capability, health, latency, price, or application policy. A fallback preserves the typed contract and remains observable.

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Unit example (nearest native match)

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AxGlobals.setRateLimiter(globalLimiter);
AxGlobals.setTracer(tracer);
AxGlobals.setMeter(meter);
workflow.forward(client, input, Map.of(), new AxRuntimeHooks(callLimiter, tracer, meter));
AxGlobals.setRateLimiter(null); AxGlobals.setTracer(null); AxGlobals.setMeter(null);

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/long-agents/SmartDefaultsAgentExample.java

Active practice

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