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. 

        

How do you foster collaboration between development, operations, and other teams in a Java project?

 

Fostering collaboration between development, operations, and other teams in a Java project requires a combination of communication, tools, and processes. Here are some strategies to help facilitate collaboration:

Establish clear communication channels: Use tools like Slack, Microsoft Teams, or similar platforms for real-time communication. Also, have regular meetings, such as daily stand-ups or weekly sync-ups, to keep everyone aligned and informed about project progress.

Encourage cross-functional teams: Form cross-functional teams comprising members from development, operations, QA, and other relevant departments. This helps in sharing knowledge and understanding each other's perspectives.

Implement DevOps practices: Embrace DevOps principles to bridge the gap between development and operations. Automate processes such as continuous integration, continuous delivery, and infrastructure provisioning to streamline collaboration and reduce bottlenecks.

Adopt Agile methodologies: Agile methodologies like Scrum or Kanban promote collaboration through iterative development cycles, regular feedback, and close collaboration between team members.

Use version control and collaboration tools: Leverage version control systems like Git along with collaboration platforms like GitHub or Bitbucket. These tools facilitate collaboration by allowing teams to work on the same codebase simultaneously and track changes effectively.

Provide training and knowledge sharing: Organize workshops, brown bag sessions, or knowledge-sharing sessions to educate team members about each other's roles, technologies, and best practices. Encourage learning and cross-training to build a more cohesive team.

Promote a culture of transparency and trust: Foster an environment where team members feel comfortable sharing their ideas, concerns, and feedback openly. Encourage transparency in decision-making processes and foster trust among team members.

Establish shared goals and metrics: Define common goals and metrics that align with both development and operations objectives. This encourages teams to collaborate towards shared outcomes and promotes a sense of collective responsibility.

Implement collaborative tools for project management: Utilize project management tools like Jira, Trello, or Asana to track tasks, assign responsibilities, and monitor progress collaboratively. Ensure that these tools are accessible to all team members and updated regularly.

Celebrate successes and learn from failures: Recognize and celebrate achievements as a team, whether it's delivering a successful release or overcoming a challenging issue. Similarly, encourage a blame-free culture where failures are seen as learning opportunities, and teams work together to identify solutions and prevent recurrence.

By implementing these strategies, you can foster a culture of collaboration and cooperation among development, operations, and other teams in a Java project, ultimately leading to improved efficiency, quality, and innovation.