Keep every language surface safe and consistent
You treat model output, tool results, resources, notifications, and catalog text as untrusted. Generated language packages preserve the shared Ax contract through native APIs.
Unit example (nearest native match)
See the idea in context
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.
From a clone of the ax repo:
npm run example -- java src/examples/java/long-agents/SmartDefaultsAgentExample.javaActive practice
Answer 2 in a row to learn this · attempt 1