SUTRA-V2 with Java SDK

<dependency>
    <groupId>com.theokanning.openai-gpt3-java</groupId>
    <artifactId>service</artifactId>
    <version>0.18.2</version>
</dependency>

implementation 'com.theokanning.openai-gpt3-java:service:0.18.2'

import com.theokanning.openai.service.OpenAiService;
import com.theokanning.openai.completion.chat.ChatCompletionRequest;
import com.theokanning.openai.completion.chat.ChatMessage;
import com.theokanning.openai.completion.chat.ChatMessageRole;

import java.time.Duration;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class SutraExample {
    public static void main(String[] args) {
        // Create custom service with SUTRA base URL
        String token = System.getenv("SUTRA_API_KEY"); // Get from environment variable
        String baseUrl = "https://api.two.ai/v2";

        // Initialize the service with custom settings
        OpenAiService service = new OpenAiService(token, Duration.ofSeconds(30), baseUrl);

        // Continue with the chat completion example...
    }
}

// Create chat messages
List<ChatMessage> messages = new ArrayList<>();
messages.add(new ChatMessage(ChatMessageRole.SYSTEM.value(), "You are a helpful AI that answers concisely."));
messages.add(new ChatMessage(ChatMessageRole.USER.value(), "Explain AI in 3 sentences in Spanish."));

// Create chat completion request
ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()
        .model("sutra-v2")
        .messages(messages)
        .maxTokens(1024)
        .temperature(0.7)
        .build();

// Execute the request
service.createChatCompletion(chatCompletionRequest)
        .getChoices()
        .forEach(choice -> {
            System.out.println(choice.getMessage().getContent());
        });