引入依赖
pom文件

<?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>3.2.4</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>

    <!-- Generated by https://start.springboot.io -->
    <!-- 优质的 spring/boot/data/security/cloud 框架中文文档尽在 => https://springdoc.cn -->
    <groupId>com.example</groupId>
    <artifactId>spring-ai-demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>spring-ai-demo</name>
    <description>spring-ai-demo</description>
    <properties>
        <java.version>17</java.version>
        <spring-ai.version>0.8.1</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.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>
            </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>

配置yml

spring:
  ai:
    openai:
      api-key: #没有账号，可以在淘宝，2元购买key
      base-url: # 淘宝上会给你中转的url
    retry:
      max-attempts: 3

Controller

@RestController
public class IndexController {
		
	// key：sessionId  value：会话聊天的上下文
    private static final Map<String, List<Message>> messageMap = new HashMap<>();
    @Resource
    private OpenAiChatClient chatClient;

    @GetMapping
    public String index(HttpSession session, @RequestParam(name = "message", defaultValue = "使用Java，写一个冒泡算法") String message) {
	    // 检查是否已有会话
        List<Message> messageList = messageMap.get(session.getId());
        if (messageList == null) {
            messageList = new ArrayList<>();
            messageMap.put(session.getId(), messageList);
        }
        // 将用户消息，加入上下文
        messageList.add(messageList.size(), new UserMessage(message));
        // 发送消息时，传递的是上下文的所有信息，不单单是你当前发送的一条消息
        // 所有最好为list设置容量的限制，不然你的api-key的资源会消耗很快
        String result = chatClient.call(new Prompt(messageList)).getResult().getOutput().getContent();
        // 将ai消息，加入上下文
        messageList.add(messageList.size(), new AssistantMessage(result));
        return result;
    }
}

优化代码：（可以使用redis来代替 存储messageMap）
OpenAiService.java

/**
 * 记录上下文聊天信息
 */
@Service
public class OpenAiService {

    private static final Map<String, LinkedList<Message>> messageMap = new HashMap<>();
    @Resource
    private OpenAiChatClient chatClient;

    private void addUserMessage(LinkedList<Message> messageList, String message) {
        checkMessageCapacity(messageList);
        messageList.addLast(new UserMessage(message));
    }

    private void addAssistantMessage(LinkedList<Message> messageList, String message) {
        checkMessageCapacity(messageList);
        messageList.add(messageList.size(), new AssistantMessage(message));
    }

    public String chat(String sessionId, String message) {
        LinkedList<Message> messageList = messageMap.get(sessionId);
        if (messageList == null) {
            messageList = new LinkedList<>();
            messageMap.put(sessionId, messageList);
        }
        addUserMessage(messageList, message);
        String result = chatClient.call(new Prompt(messageList)).getResult().getOutput().getContent();
        addAssistantMessage(messageList, result);
        return result;
    }

    public void checkMessageCapacity(LinkedList<Message> messages) {
        if (messages.size() >= 10) {
            messages.removeFirst();
        }
    }
}

IndexController.java

@RestController
public class IndexController {

    @Resource
    private OpenAiService openAiService;

    @GetMapping
    public String index(HttpSession session, @RequestParam(name = "message", defaultValue = "使用Java，写一个冒泡算法") String message) {
        String result = "";
        synchronized (session.getId().intern()) {
            result = openAiService.chat(session.getId(), message);
        }
        return result;
    }
}