多 Agent+Skills+SpringAI 构建自主决策智能体---SpringAI 框架上手难？针对性学法突破入门壁垒

xml1<parent>
2    <groupId>org.springframework.boot</groupId>
3    <artifactId>spring-boot-starter-parent</artifactId>
4    <version>3.3.5</version>
5</parent>
6
7<dependencies>
8    <dependency>
9        <groupId>org.springframework.boot</groupId>
10        <artifactId>spring-boot-starter-web</artifactId>
11    </dependency>
12    <dependency>
13        <groupId>org.springframework.ai</groupId>
14        <artifactId>spring-ai-openai-spring-boot-starter</artifactId>
15        <version>1.0.0</version>
16    </dependency>
17</dependencies>
18
19<!-- 国内镜像仓库（解决下载失败的关键） -->
20<repositories>
21    <repository>
22        <id>aliyunmaven</id>
23        <url>https://maven.aliyun.com/repository/public</url>
24    </repository>
25    <repository>
26        <id>aliyun-spring</id>
27        <url>https://maven.aliyun.com/repository/spring</url>
28    </repository>
29</repositories>
30

1用户输入 → PromptTemplate（组装提示词）
2         → ChatClient（发送给模型）
3         → EmbeddingClient（文本向量化，RAG场景）
4         → VectorStore（存/搜向量）
5         → AI返回结果
6

yaml1server:
2  port: 8080
3spring:
4  ai:
5    openai:
6      api-key: ${OPENAI_API_KEY}
7      chat:
8        model: gpt-3.5-turbo
9        temperature: 0.7
10

java1@RestController
2@RequestMapping("/ai")
3@CrossOrigin(origins = "*")
4public class ChatController {
5
6    private final ChatClient chatClient;
7
8    public ChatController(ChatClient.Builder builder) {
9        this.chatClient = builder.build();
10    }
11
12    // 同步调用：一次返回全部结果
13    @GetMapping("/chat")
14    public String chat(@RequestParam String message) {
15        return chatClient.prompt()
16                .user(message)
17                .call()
18                .content();
19    }
20
21    // 流式调用：逐字返回，体验更好
22    @GetMapping("/stream")
23    public Flux<String> streamChat(@RequestParam String message) {
24        return chatClient.prompt()
25                .user(message)
26                .stream()
27                .content();
28    }
29}
30

java1@Autowired
2private VectorStore vectorStore;
3
4public String smartAnswer(String question) {
5    // 1. 从向量库搜相关文档
6    List<Document> docs = vectorStore.similaritySearch(question);
7    // 2. 拼接成提示词
8    String context = docs.stream()
9            .map(Document::getContent)
10            .collect(Collectors.joining("\n"));
11    // 3. 让AI基于文档回答
12    return chatClient.prompt()
13            .user("参考以下内容回答问题：\n" + context + "\n问题：" + question)
14            .call()
15            .content();
16}
17

xml1<!-- 替换为 -->
2<dependency>
3    <groupId>com.alibaba.cloud.ai</groupId>
4    <artifactId>spring-ai-alibaba-starter</artifactId>
5    <version>1.0.0-M2</version>
6</dependency>
7

yaml1spring:
2  ai:
3    dashscope:
4      api-key: ${AI_DASHSCOPE_API_KEY}
5