Thinking Mode (Extended Reasoning)

import dev.langchain4j.model.bedrock.BedrockChatRequestParameters;
import dev.langchain4j.model.bedrock.BedrockChatModel;

BedrockChatRequestParameters params = BedrockChatRequestParameters.builder()
    .enableReasoning(10000)  // Token budget for reasoning
    .build();

BedrockChatModel model = BedrockChatModel.builder()
    .modelId("anthropic.claude-3-5-sonnet-20241022-v2:0")
    .defaultRequestParameters(params)
    .returnThinking(true)  // Return thinking content in responses
    .sendThinking(true)    // Send thinking in conversation history
    .build();

import dev.langchain4j.data.message.AiMessage;

ChatResponse response = model.chat(ChatRequest.builder()
    .messages(UserMessage.from("Solve this complex problem: ..."))
    .build());

AiMessage aiMessage = response.aiMessage();

if (aiMessage.hasThinkingContent()) {
    String thinking = aiMessage.thinkingContent();
    String answer = aiMessage.text();

    System.out.println("Thinking: " + thinking);
    System.out.println("Answer: " + answer);
}

BedrockChatRequestParameters params = BedrockChatRequestParameters.builder()
    .enableReasoning(10000)
    .temperature(0.7)
    .maxOutputTokens(8192)
    .build();

BedrockChatModel model = BedrockChatModel.builder()
    .region(Region.US_EAST_1)
    .modelId("anthropic.claude-3-5-sonnet-20241022-v2:0")
    .defaultRequestParameters(params)
    .returnThinking(true)
    .sendThinking(true)
    .build();

ChatRequest request = ChatRequest.builder()
    .messages(UserMessage.from(
        "A farmer has 17 sheep. All but 9 die. How many are left?"
    ))
    .build();

ChatResponse response = model.chat(request);
AiMessage aiMessage = response.aiMessage();

if (aiMessage.hasThinkingContent()) {
    System.out.println("=== Thinking Process ===");
    System.out.println(aiMessage.thinkingContent());
    System.out.println("\n=== Answer ===");
    System.out.println(aiMessage.text());
}