spring ai 调用本地部署的deepseek实现简单的问答功能

安装deepseek

1. Ollama作用
   • deepseek 需要运行在ollama上
2. 下载Ollama
   • Ollama官网：https://ollama.com/
   • 下载windows版本
     
     傻瓜式安装Ollama

选择模型

由于我电脑配置较低
我选择最低版本的模型

打开windows doc 窗口 执行ollama run deepseek-r1:1.5b 进行模型镜像下载和安装

部署完成，send a message，输入内容即可开始对话。

创建springboot 项目

• 环境要求 jdk17 + springboot 3.2+

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 http://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>3.4.2</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.wl</groupId>
    <artifactId>spring-deepseek-demo</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <java.version>17</java.version>
        <spring-ai.version>1.0.0-M5</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-ollama-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>

</project>

application.yml

spring:
  ai:
    ollama:
      # Ollama模型地址
      base-url: http://192.168.10.97:11434
      chat:
        options:
          model: deepseek-r1:1.5b

DeepSeekService

package com.wl.service;

import jakarta.annotation.Resource;
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.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatModel;
import org.springframework.stereotype.Service;

import java.util.List;

@Service
public class DeepSeekService {

    @Resource
    private OllamaChatModel chatClient;

    public String chat(String message) {
        List<Message> abstractMessages = List.of(
//                new SystemMessage("你是一个工单分析专家,请根据用户输入的内容从以下工单分类中找出一个分类 ；分类如下\n1" +
//                        "垃圾清运\n2" +
//                        "维修"),
                new UserMessage(message)
        );
        Prompt prompt = new Prompt(abstractMessages);
        ChatResponse call = chatClient.call(prompt);
        System.out.println(call);
        return call.getResult().toString();
    }

}

DeepSeekController

package com.wl;

import com.wl.service.DeepSeekService;
import jakarta.annotation.Resource;
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
@RequestMapping("deepseek")
public class DeepSeekController {

    @Resource
    private DeepSeekService deepSeekService;
    @GetMapping("chat")
    public String chat(@RequestParam String ques) {
        return deepSeekService.chat(ques);
    }
}