Integrating Spring Boot with Amazon Bedrock's Nova

Integrating Spring AI with Amazon Bedrock's Nova models involves creating an application that interacts with Amazon Bedrock using a Spring Boot framework. 

A little bit of background

What is Amazon Bedrock?

Amazon Bedrock is an AWS-managed service that allows developers to build and scale generative AI applications by interacting with pre-trained foundational models. Bedrock supports multiple models from third-party providers and Amazon's proprietary models.

Key Features:

• No infrastructure management.
• Serverless access to large language models (LLMs).
• Integrates with AWS ecosystem (IAM, Lambda, etc.).
• Pay-as-you-go pricing.

What is Nova in Amazon Bedrock?

Nova is one of the foundational models integrated into Bedrock. These models are designed to handle a variety of generative AI tasks such as:

• Text generation
• Summarization
• Question answering
• Language understanding

Nova's Highlights:

• General-Purpose Model: Optimized for wide-ranging text processing and generation tasks.
• Highly Scalable: Handles high-demand requests with Amazon Bedrock’s infrastructure.
• Fine-Tuning Ready: Supports customizations based on specific business use cases.

Use Case Examples for Nova:

1. Configure Settings:

1. Content Generation:

• Writing blogs, articles, or marketing copy.

2. Conversational Agents:

• Powering chatbots or customer support systems.

3. Text Summarization:

• Creating concise summaries for documents or news.

4. Code Assistance:

• Generating or improving programming code.

Why Use Nova with Amazon Bedrock?

1. Seamless Integration: You can combine Nova with AWS services like S3, DynamoDB, and SageMaker. 
2. Custom Workflows: Build tailored AI applications using familiar AWS tools.
3. Serverless Deployment: Avoid managing infrastructure complexities. 
4. Scalable and Secure: Take advantage of AWS's robust security and scalability features

Here's an example that outlines the integration process.

Prerequisites

1. Amazon Web Services (AWS) account: Ensure you have access to Amazon Bedrock. 
2. AWS SDK for Java: Include the SDK dependencies in your project. 
3. Spring Boot Project: A project set up with Spring Boot. 
4. Access Keys: AWS credentials configured for Bedrock access.

Steps to Implement

1. Set Up Spring Boot Project Use Spring Initializr or any IDE to create a Spring Boot project with the following dependencies:

• Spring Web
• Spring Boot Starter JSON
• AWS SDK for Java

2. Add Dependencies Add the following to your pom.xml:

<dependencies>
    <!-- Spring Web -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <!-- AWS SDK -->
    <dependency>
        <groupId>software.amazon.awssdk</groupId>
        <artifactId>bedrock</artifactId>
    </dependency>
</dependencies>

3. Create Configuration for AWS Bedrock

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrock.BedrockClient;

@Configuration
public class AwsConfig {

    @Bean
    public BedrockClient bedrockClient() {
        return BedrockClient.builder()
                .region(Region.US_EAST_1) // Specify your AWS Region
                .credentialsProvider(ProfileCredentialsProvider.create())
                .build();
    }
}

4. Service to Interact with Bedrock Nova

import org.springframework.stereotype.Service;
import software.amazon.awssdk.services.bedrock.BedrockClient;
import software.amazon.awssdk.services.bedrock.model.*;

@Service
public class BedrockService {

    private final BedrockClient bedrockClient;

    public BedrockService(BedrockClient bedrockClient) {
        this.bedrockClient = bedrockClient;
    }

    public String generateText(String prompt) {
        try {
            InvokeModelRequest request = InvokeModelRequest.builder()
                    .modelId("nova")
                    .inputStream(SdkBytes.fromUtf8String("{\"prompt\":\"" + prompt + "\"}"))
                    .contentType("application/json")
                    .build();

            InvokeModelResponse response = bedrockClient.invokeModel(request);

            return response.outputStream().asUtf8String();
        } catch (BedrockException e) {
            throw new RuntimeException("Failed to generate text", e);
        }
    }
}

5. Controller for API Endpoint

import org.springframework.web.bind.annotation.*;

@RestController
@RequestMapping("/api")
public class BedrockController {

    private final BedrockService bedrockService;

    public BedrockController(BedrockService bedrockService) {
        this.bedrockService = bedrockService;
    }

    @PostMapping("/generate")
    public String generate(@RequestBody String prompt) {
        return bedrockService.generateText(prompt);
    }
}

6. Run the Application Start your Spring Boot application and test the API:

curl -X POST -H "Content-Type: application/json" -d '"Generate a story about AI and the future of technology."' http://localhost:8080/api/generate

7. Output The response will contain the generated text from the Nova model via Amazon Bedrock.