// PUBLIC DOMAIN - NO LICENSE, NO WARRANTY // Copyright 2025 TimeHexOn & foxhop & russell@unturf // https://www.permacomputer.com import com.openai.client.OpenAIClient; import com.openai.client.okhttp.OpenAIOkHttpClient; import com.openai.models.chat.completions.ChatCompletion; import com.openai.models.chat.completions.ChatCompletionCreateParams; import java.io.FileOutputStream; import java.io.IOException; import java.net.URI; import java.net.http.HttpClient; import java.net.http.HttpRequest; import java.net.http.HttpResponse; import org.json.JSONArray; import org.json.JSONObject; public class uncloseai { public static void main(String[] args) { System.out.println("=== uncloseai. Java Client (Official OpenAI SDK) ===\n"); // Discover endpoints from environment variables String modelEndpoint1 = System.getenv("MODEL_ENDPOINT_1"); String modelEndpoint2 = System.getenv("MODEL_ENDPOINT_2"); String ttsEndpoint1 = System.getenv("TTS_ENDPOINT_1"); if (modelEndpoint1 == null || modelEndpoint2 == null || ttsEndpoint1 == null) { System.err.println("ERROR: No models discovered. Set environment variables:"); System.err.println(" MODEL_ENDPOINT_1, MODEL_ENDPOINT_2, TTS_ENDPOINT_1"); System.exit(1); } try { HttpClient httpClient = HttpClient.newHttpClient(); // Discover models from endpoint 1 System.out.println("Discovering models from " + modelEndpoint1 + "..."); HttpRequest req1 = HttpRequest.newBuilder() .uri(URI.create(modelEndpoint1 + "/models")) .GET() .build(); HttpResponse res1 = httpClient.send(req1, HttpResponse.BodyHandlers.ofString()); JSONObject json1 = new JSONObject(res1.body()); JSONArray models1 = json1.getJSONArray("data"); String model1Id = models1.getJSONObject(0).getString("id"); System.out.println("Model 1: " + model1Id + "\n"); // Discover models from endpoint 2 System.out.println("Discovering models from " + modelEndpoint2 + "..."); HttpRequest req2 = HttpRequest.newBuilder() .uri(URI.create(modelEndpoint2 + "/models")) .GET() .build(); HttpResponse res2 = httpClient.send(req2, HttpResponse.BodyHandlers.ofString()); JSONObject json2 = new JSONObject(res2.body()); JSONArray models2 = json2.getJSONArray("data"); String model2Id = models2.getJSONObject(0).getString("id"); System.out.println("Model 2: " + model2Id + "\n"); // Non-streaming chat with Model 1 System.out.println("=== Non-Streaming Chat (Model 1) ==="); OpenAIClient client1 = OpenAIOkHttpClient.builder() .apiKey("dummy-key") .baseUrl(modelEndpoint1) .build(); ChatCompletionCreateParams params1 = ChatCompletionCreateParams.builder() .model(model1Id) .addUserMessage("Give a Python Fizzbuzz solution in one line of code?") .temperature(0.5) .maxTokens(150L) .build(); ChatCompletion response1 = client1.chat().completions().create(params1); System.out.println("Response: " + response1.choices().get(0).message().content().get() + "\n"); // Streaming chat with Model 1 System.out.println("=== Streaming Chat (Model 1) ==="); ChatCompletionCreateParams streamParams1 = ChatCompletionCreateParams.builder() .model(model1Id) .addUserMessage("Explain quantum entanglement in one sentence.") .temperature(0.5) .maxTokens(150L) .build(); System.out.print("Response: "); client1.chat().completions().createStreaming(streamParams1).stream().forEach(chunk -> { if (!chunk.choices().isEmpty() && chunk.choices().get(0).delta().content().isPresent()) { System.out.print(chunk.choices().get(0).delta().content().get()); } }); System.out.println("\n"); // Non-streaming chat with Model 2 System.out.println("=== Non-Streaming Chat (Model 2) ==="); OpenAIClient client2 = OpenAIOkHttpClient.builder() .apiKey("dummy-key") .baseUrl(modelEndpoint2) .build(); ChatCompletionCreateParams params2 = ChatCompletionCreateParams.builder() .model(model2Id) .addUserMessage("Write a JavaScript function to check if a number is prime") .temperature(0.5) .maxTokens(150L) .build(); ChatCompletion response2 = client2.chat().completions().create(params2); System.out.println("Response: " + response2.choices().get(0).message().content().get() + "\n"); // Streaming chat with Model 2 System.out.println("=== Streaming Chat (Model 2) ==="); ChatCompletionCreateParams streamParams2 = ChatCompletionCreateParams.builder() .model(model2Id) .addUserMessage("Give a Python Fizzbuzz solution in one line of code?") .temperature(0.5) .maxTokens(150L) .build(); System.out.print("Response: "); client2.chat().completions().createStreaming(streamParams2).stream().forEach(chunk -> { if (!chunk.choices().isEmpty() && chunk.choices().get(0).delta().content().isPresent()) { System.out.print(chunk.choices().get(0).delta().content().get()); } }); System.out.println("\n"); // TTS example System.out.println("=== TTS Speech Generation ==="); System.out.println("[SKIPPED] TTS implementation needs audio API research\n"); System.out.println("=== Examples Complete ==="); } catch (IOException | InterruptedException e) { System.err.println("Error: " + e.getMessage()); e.printStackTrace(); } } }