<properties>
    <java.version>17</java.version>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
    <spring-boot.version>3.2.0</spring-boot.version>
    <spring-ai.version>1.0.0</spring-ai.version>
    <spring-ai-alibaba.version>1.0.0.2</spring-ai-alibaba.version>
</properties>
<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <!-- 阿里云通义千问（DashScope）starter -->
    <dependency>
        <groupId>com.alibaba.cloud.ai</groupId>
        <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
    </dependency>
</dependencies>
<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-dependencies</artifactId>
            <version>${spring-boot.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <!-- 统一管理Spring AI依赖版本 -->
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-bom</artifactId>
            <version>${spring-ai.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <dependency>
            <groupId>com.alibaba.cloud.ai</groupId>
            <artifactId>spring-ai-alibaba-bom</artifactId>
            <version>${spring-ai-alibaba.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>
<!-- Spring AI 里程碑/快照仓库（必须配置，否则依赖无法下载） -->
<repositories>
    <repository>
        <id>spring-milestones</id>
        <name>Spring Milestones</name>
        <url>https://repo.spring.io/milestone</url>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
    </repository>
    <repository>
        <id>spring-snapshots</id>
        <name>Spring Snapshots</name>
        <url>https://repo.spring.io/snapshot</url>
        <releases>
            <enabled>false</enabled>
        </releases>
    </repository>
</repositories>
2、yml

#server.port=18081
#spring.ai.dashscope.api-key="sk-72d9fd311cde487eb948bcd999ea4a65"
#spring.ai.dashscope.chat.options.model= sk-8718a83408d7443b9544cdfbf259280f
#sk-72d9fd311cde487eb948bcd999ea4a65
server:
  port: 18081
spring:
  ai:
    dashscope:
      api-key: sk-8718a83408d7443bxxxxxxx

3、prompt.st
模板文件

# 角色说明
你是一名专业法律顾问AI……
## 回复格式
1. 问题分析
2. 相关依据
3. 梳理和建议
**特别注意：**
- 不承担律师责任。
- 不生成涉敏、虚假内容。
当前服务的用户:
姓名: {name}，年龄: {age}，性别: {sex}

4、controller

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
@RequestMapping("/openai")
@ResponseBody
@Controller
public class ChatclientPromptController {
    @Autowired
    private ChatClient.Builder chatClientBuilder;

    @Value("classpath:/files/prompt.st")
    Resource systemResource;

@GetMapping("/simple/prompttemplateTS")
public String prompttemplatets () {
    // ChatClient设置提示词
    //为ChatClient设置系统角色，你是什么，你要做什么，你要注意什么，具本该怎么做
    ChatClient chatClient = chatClientBuilder
            .defaultSystem(systemResource)
            .build();
    String content = chatClient.prompt()
            .system(p->p.param("name","【郭大侠】")
                    .param("age","【22】").param("sex", "【男】"))//当前对话设置系统提示词
            .user("你好")
            .call()
            .content();
    // 3. 打印结果
    System.out.println(content);
    return  content;
}

}

5、浏览器

http://localhost:18081/openai/simple/prompttemplateTS