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# Gunakan kemampuan penalaran Anthropic Claude 3.7 Sonnet di Amazon Bedrock
<a name="bedrock-runtime_example_bedrock-runtime_Converse_AnthropicClaudeReasoning_section"></a>

Contoh kode berikut menunjukkan cara menggunakan kemampuan penalaran Anthropic Claude 3.7 Sonnet di Amazon Bedrock

------
#### [ Java ]

**SDK untuk Java 2.x**  
 Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/bedrock-runtime#code-examples). 
Gunakan kemampuan penalaran Anthropic Claude 3.7 Sonnet dengan klien runtime Bedrock asinkron.  

```
import com.example.bedrockruntime.models.anthropicClaude.lib.ReasoningResponse;
import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
import software.amazon.awssdk.core.document.Document;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeAsyncClient;
import software.amazon.awssdk.services.bedrockruntime.model.*;

import java.util.concurrent.CompletableFuture;

/**
 * This example demonstrates how to use Anthropic Claude 3.7 Sonnet's reasoning capability
 * with an asynchronous Amazon Bedrock runtime client.
 * It shows how to:
 * - Set up the Amazon Bedrock async runtime client
 * - Create a message
 * - Configure reasoning parameters
 * - Send an asynchronous request with reasoning enabled
 * - Process both the reasoning output and final response
 */
public class ReasoningAsync {

    public static ReasoningResponse reasoningAsync() {

        // Create the Amazon Bedrock runtime client
        var client = BedrockRuntimeAsyncClient.builder()
                .credentialsProvider(DefaultCredentialsProvider.create())
                .region(Region.US_EAST_1)
                .build();

        // Specify the model ID. For the latest available models, see:
        // https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
        var modelId = "us.anthropic.claude-3-7-sonnet-20250219-v1:0";

        // Create the message with the user's prompt
        var prompt = "Describe the purpose of a 'hello world' program in one line.";
        var message = Message.builder()
                .content(ContentBlock.fromText(prompt))
                .role(ConversationRole.USER)
                .build();

        // Configure reasoning parameters with a 2000 token budget
        Document reasoningConfig = Document.mapBuilder()
                .putDocument("thinking", Document.mapBuilder()
                        .putString("type", "enabled")
                        .putNumber("budget_tokens", 2000)
                        .build())
                .build();

        try {
            // Send message and reasoning configuration to the model
            CompletableFuture<ConverseResponse> asyncResponse = client.converse(request -> request
                    .additionalModelRequestFields(reasoningConfig)
                    .messages(message)
                    .modelId(modelId)
            );

            // Process the response asynchronously
            return asyncResponse.thenApply(response -> {

                        var content = response.output().message().content();
                        ReasoningContentBlock reasoning = null;
                        String text = null;

                        // Process each content block to find reasoning and response text
                        for (ContentBlock block : content) {
                            if (block.reasoningContent() != null) {
                                reasoning = block.reasoningContent();
                            } else if (block.text() != null) {
                                text = block.text();
                            }
                        }

                        return new ReasoningResponse(reasoning, text);
                    }
            ).get();

        } catch (Exception e) {
            System.err.printf("Can't invoke '%s': %s", modelId, e.getMessage());
            throw new RuntimeException(e);
        }
    }

    public static void main(String[] args) {
        // Execute the example and display reasoning and final response
        ReasoningResponse response = reasoningAsync();
        System.out.println("\n<thinking>");
        System.out.println(response.reasoning().reasoningText());
        System.out.println("</thinking>\n");
        System.out.println(response.text());
    }
}
```
Gunakan kemampuan penalaran Anthropic Claude 3.7 Sonnet dengan klien runtime Bedrock sinkron.  

```
import com.example.bedrockruntime.models.anthropicClaude.lib.ReasoningResponse;
import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
import software.amazon.awssdk.core.document.Document;
import software.amazon.awssdk.core.exception.SdkClientException;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeClient;
import software.amazon.awssdk.services.bedrockruntime.model.*;

/**
 * This example demonstrates how to use Anthropic Claude 3.7 Sonnet's reasoning capability
 * with the synchronous Amazon Bedrock runtime client.
 * It shows how to:
 * - Set up the Amazon Bedrock runtime client
 * - Create a message
 * - Configure reasoning parameters
 * - Send a request with reasoning enabled
 * - Process both the reasoning output and final response
 */
public class Reasoning {

    public static ReasoningResponse reasoning() {

        // Create the Amazon Bedrock runtime client
        var client = BedrockRuntimeClient.builder()
                .credentialsProvider(DefaultCredentialsProvider.create())
                .region(Region.US_EAST_1)
                .build();

        // Specify the model ID. For the latest available models, see:
        // https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html
        var modelId = "us.anthropic.claude-3-7-sonnet-20250219-v1:0";

        // Create the message with the user's prompt
        var prompt = "Describe the purpose of a 'hello world' program in one line.";
        var message = Message.builder()
                .content(ContentBlock.fromText(prompt))
                .role(ConversationRole.USER)
                .build();

        // Configure reasoning parameters with a 2000 token budget
        Document reasoningConfig = Document.mapBuilder()
                .putDocument("thinking", Document.mapBuilder()
                        .putString("type", "enabled")
                        .putNumber("budget_tokens", 2000)
                        .build())
                .build();

        try {
            // Send message and reasoning configuration to the model
            ConverseResponse bedrockResponse = client.converse(request -> request
                    .additionalModelRequestFields(reasoningConfig)
                    .messages(message)
                    .modelId(modelId)
            );


            // Extract both reasoning and final response
            var content = bedrockResponse.output().message().content();
            ReasoningContentBlock reasoning = null;
            String text = null;

            // Process each content block to find reasoning and response text
            for (ContentBlock block : content) {
                if (block.reasoningContent() != null) {
                    reasoning = block.reasoningContent();
                } else if (block.text() != null) {
                    text = block.text();
                }
            }

            return new ReasoningResponse(reasoning, text);

        } catch (SdkClientException e) {
            System.err.printf("ERROR: Can't invoke '%s'. Reason: %s", modelId, e.getMessage());
            throw new RuntimeException(e);
        }
    }

    public static void main(String[] args) {
        // Execute the example and display reasoning and final response
        ReasoningResponse response = reasoning();
        System.out.println("\n<thinking>");
        System.out.println(response.reasoning().reasoningText());
        System.out.println("</thinking>\n");
        System.out.println(response.text());
    }
}
```
+  Untuk detail API, lihat [Converse](https://docs.aws.amazon.com/goto/SdkForJavaV2/bedrock-runtime-2023-09-30/Converse) di *Referensi AWS SDK for Java 2.x API*. 

------

Untuk daftar lengkap panduan pengembang AWS SDK dan contoh kode, lihat[Menggunakan Amazon Bedrock dengan SDK AWS](sdk-general-information-section.md). Topik ini juga mencakup informasi tentang memulai dan detail tentang versi SDK sebelumnya.