Getting started Spring AI with OpenAI Chat Model

 Problem statement :  develop spring boot API which connect's to Open AI and will give top 5

                                       personalities of any sports. Other than sports,

                                       if you give another details should display warning message.

We have different AI Chat models as mentioned below

• Chat Completion API

  • OpenAI Chat Completion (streaming and function-calling support)

  • Microsoft Azure Open AI Chat Completion (streaming and function-calling support)

  • Ollama Chat Completion

  • Hugging Face Chat Completion (no streaming support)

  • Google Vertex AI PaLM2 Chat Completion (no streaming support)

  • Google Vertex AI Gemini Chat Completion (streaming, multi-modality & function-calling support)

  • Amazon Bedrock

    • Cohere Chat Completion

    • Llama Chat Completion

    • Titan Chat Completion

    • Anthropic Chat Completion

    • Jurassic2 Chat Completion

  • MistralAI Chat Completion (streaming and function-calling support)

This is post will explain you about , how we can use Open AI model to build simple spring boot application

Step 1 :  Signup : https://platform.openai.com/signup

              generate key -  https://platform.openai.com/account/api-keys

Step 2 :           spring boot intializr : https://start.spring.io/

dependencies :  OpenAI and other related dependencies

                        Provide group  artifact and other required details

                       import project to IntelliJ

Step3 :          Write Controller 

package com.personal.openai;

import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class OpenAIController {


    @Autowired
    private OpenAiChatModel openAiChatModel;

    @GetMapping("/sports")
    public String getSportPersonaDetails(@RequestParam String name){
        var systemMessage = new SystemMessage("Your primary function is to provide details about sports," +
                " if anything else asks simply say that i can provide only sports details");
        String promptMessage =  String.format(" Could you please provide detailed information" +
                " on the top 5 sports persons currently in %s ?",name);
        Message message = new UserMessage(promptMessage);
        return openAiChatModel.call(message,systemMessage);

    }
}

Step 4: update the properties/yaml

spring.application.name=openai
spring.ai.openai.api-key=sk-proj-NNcDe2HRc1UUjcbIRkRsT3Blbk
spring.ai.openai.chat.enabled=true
spring.ai.openai.chat.options.model=gpt-3.5-turbo
spring.ai.openai.chat.options.temperature=0.7

Step 5 : Run the code and start the server

pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
       <groupId>org.springframework.boot</groupId>
       <artifactId>spring-boot-starter-parent</artifactId>
       <version>3.2.5</version>
       <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.personal</groupId>
    <artifactId>openai</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>openai</name>
    <description>Demo project for Spring Boot ai</description>
    <url/>
    <licenses>
       <license/>
    </licenses>
    <developers>
       <developer/>
    </developers>
    <scm>
       <connection/>
       <developerConnection/>
       <tag/>
       <url/>
    </scm>
    <properties>
       <java.version>17</java.version>
       <spring-ai.version>1.0.0-M1</spring-ai.version>
    </properties>
    <dependencies>
       <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-web</artifactId>
       </dependency>
       <dependency>
          <groupId>org.springframework.ai</groupId>
          <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
       </dependency>

       <dependency>
          <groupId>org.projectlombok</groupId>
          <artifactId>lombok</artifactId>
          <optional>true</optional>
       </dependency>
       <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-test</artifactId>
          <scope>test</scope>
       </dependency>
    </dependencies>
    <dependencyManagement>
       <dependencies>
          <dependency>
             <groupId>org.springframework.ai</groupId>
             <artifactId>spring-ai-bom</artifactId>
             <version>${spring-ai.version}</version>
             <type>pom</type>
             <scope>import</scope>
          </dependency>
       </dependencies>
    </dependencyManagement>

    <build>
       <plugins>
          <plugin>
             <groupId>org.springframework.boot</groupId>
             <artifactId>spring-boot-maven-plugin</artifactId>
             <configuration>
                <excludes>
                   <exclude>
                      <groupId>org.projectlombok</groupId>
                      <artifactId>lombok</artifactId>
                   </exclude>
                </excludes>
             </configuration>
          </plugin>
       </plugins>
    </build>
    <repositories>
       <repository>
          <id>spring-milestones</id>
          <name>Spring Milestones</name>
          <url>https://repo.spring.io/milestone</url>
          <snapshots>
             <enabled>false</enabled>
          </snapshots>
       </repository>
    </repositories>

</project>

 

Step 6:  Output :   http://localhost:8080/sports?name=cricket

              http://localhost:8080/sports?name=tollywood

              

This how we can work on any Models.