Unit 11 · Ship AI systems you can operate

Add images, audio, and model thinking

You declare images, files, audio, and other media in the program contract. Provider support determines which media and thinking controls are available.

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Worked example

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// Realtime audio over WebSocket — uses the JDK's built-in WebSocket (no extra dependency)
OpenAIResponsesClient client = new OpenAIResponsesClient(Map.of("model", "gpt-realtime-2", "api_key", System.getenv("OPENAI_APIKEY")));
Map<String, Object> request = Map.of("model", "gpt-realtime-2", "chat_prompt", List.of(Map.of("role", "user", "content", "Say hello.")), "audio", Map.of("output", Map.of("voice", "alloy")));
Map<String, Object> result = client.realtimeChat(request, null);  // one merged turn: transcript + base64 PCM audio
// Realtime models also route transparently through chat(); chat() accepts input_audio parts; transcribe()/speak() do batch STT/TTS.

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/long-agents/SmartDefaultsAgentExample.java

Active practice

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Source-backed follow-up