AI大模型实用(一)SpringAI接入deepseek示例

一、SpringAI接入deepseek所需环境

• JDK17+(JDK8无法支持)
• SpringBoot 3.x
• maven 3.6+

官网地址

https://docs.spring.io/spring-ai/reference/api/chatclient.html

SpringAI接入deepseek方式有很多。 下面演示SpringAI原生方式接入deepseek.

注：Spring AI调用Ollama+DeepSeek

二、pom依赖

1、 SpringBoot修改版本

<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.4.5</version>
<relativePath/> <!– lookup parent from repository –>
</parent>

2、SpringAI通过deepseek提供的openapi接入deepseek

<!– springAI提供的openapi–>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
<version>1.0.0-M6</version>
</dependency>

三、相关配置

spring.ai.openai.api-key=xxx(修改成自己的密匙)
spring.ai.openai.base-url=https://api.deepseek.com
spring.ai.openai.chat.options.model=deepseek-chat

四、代码

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class SpringAIConfig {
@Bean
public ChatClient chatClient(ChatClient.Builder builder) {
return builder.defaultSystem("你是一名资深开发工程师，你的名称叫siri").build();
}
}

示例1：定义controller

package com.ai.controller;

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.model.Model;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.CrossOrigin;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController
@RequestMapping(value = "/ChatController")
public class ChatController {
private final ChatClient chatClient;

ChatController(ChatClient.Builder chatClientBuilder) {
this.chatClient = chatClientBuilder.build();
}

@GetMapping("/ai")
String generation(String question) {
return this.chatClient.prompt()
.user(question)
.call()
.content();
}

}

访问： http://127.0.0.1:8886/ChatController/ai?question=%E4%BB%8B%E7%BB%8D%E4%B8%80%E4%B8%8B%E4%BD%A0%E8%87%AA%E5%B7%B1

运行结果：

访问：

运行结果：http://127.0.0.1:8886/ChatController/chattest?question=%E4%BD%A0%E6%98%AF%E8%B0%81

示例2：定义controller（流式输出）

package com.ai.controller;

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.Generation;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.chat.prompt.SystemPromptTemplate;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import reactor.core.publisher.Flux;

import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

@RestController
@RequestMapping(value = "/SpringAIController")
public class SpringAIController {
@Autowired
private ChatClient chatClient;

// private final ChatClient chatClient;
//ChatClient底层是使用ChatModel作为属性的，在初始化ChatClient的时候可以指定ChatModel
@Autowired
private ChatModel chatModel;

public SpringAIController(ChatClient.Builder chatClientBuilder) {
this.chatClient = chatClientBuilder.defaultSystem("你是一个AI智能应用").build();

}

@GetMapping("/chat")
public String chat(@RequestParam(value = "msg",defaultValue = "介绍一下杜甫")
String message) {
//prompt:提示词
return this.chatClient.prompt()
//用户输入的信息
.user(message)
//请求大模型
.call()
//返回文本
.content();
}
//流式响应
@GetMapping(value = "/chatstream",produces="text/html;charset=UTF-8")
public Flux<String> chatStream(@RequestParam(value = "message") String message) {
return chatClient.prompt().user(message).stream().content();
}
}

访问：

http://127.0.0.1:8886/SpringAIController/chatstream?message=%E4%BB%8B%E7%BB%8D%E4%B8%80%E4%B8%8B%E4%BD%A0%E8%87%AA%E5%B7%B1

注意： 不使用流式输出时，访问http://127.0.0.1:8886/SpringAIController/chat?question=%E4%BD%A0%E6%98%AF%E8%B0%81

结果出现超时： TimeoutException: Total timeout 10000 ms elapsed