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Getting Started with Spring AI

Tags: spring boot

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Written by: Tushar Sharma
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In this blog, we'll explore how to create a simple Spring Boot application that leverages Spring AI for generating responses. We'll build a BooksApi application that can tell us which book won the booker prize for a given year.

Initialize Your Project

Adding Snapshot Repository with Gradle

Snapshot repositories store development versions of artifacts. The Spring Snapshot Repository contains the latest updates. Add this to your build.gradle to access the Spring Snapshot Repository and Spring AI dependency:

API Keys

Add your API key to src/main/resources/application.properties:

spring.ai.openai.api-key=YOUR_API_KEY

Controller

Create controller/BooksController.java`:

In the above code, openAiClient is injected through constructor injection, which is a preferred method in Spring for dependency injection. The @Autowired annotation is not required when using constructor injection.

Quick Quiz: What's @RequestMapping Annotation?

@RequestMapping is an annotation used in Spring to map web requests to specific handler classes or handler methods. Here, it's used to map all requests starting with /books to this controller.

Using PromptTemplate

PromptTemplate is useful for dynamically constructing prompts with variables. It ensures cleaner code and easier manipulation of the prompt string.

If you go to : http://localhost:8080/books/booker/2003, it will output something like

The book that won the Booker Prize in 2003 is "Vernon God Little" by DBC Pierre.

Quick Quiz: What's @PathVariable Annotation?

A path variable is a part of the URL that is captured and used as a variable in your method. In this case, {year} in the URL /booker/{year} is a path variable.

Creating a record class

A record class in Java is a concise way to create immutable data objects.

Parsing AI Response into Java Object

BeanOutputParser is a utility in Spring AI that helps in parsing the output from AI into a Java Bean (in our case, BookerWinner).

parser.getFormat() returns a string that represents the format in which the AI should return the data, making it easier to parse into the BookerWinner object.

If you go to : http://localhost:8080/books/booker/2003, it will output something like

{
  "title": "Vernon God Little",
  "author": "DBC Pierre",
  "year": "2003"
}

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