【Spring Boot】在项目中使用Spring AI_dependency 'org.springframework.ai:spring-ai-zhipu

Spring AI是Spring框架中用于集成和使用人工智能和机器学习功能的组件。它提供了一种简化的方式来与AI模型进行交互。下面是一个简单的示例，展示了如何在Spring Boot项目中使用Spring AI。

步骤 1: 添加依赖

首先，在pom.xml文件中添加Spring AI的依赖：

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-ai</artifactId>
    <version>0.1.0</version>
</dependency>
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确保配置了Spring Cloud的版本管理，例如：

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-dependencies</artifactId>
            <version>Hoxton.SR9</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>
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步骤 2: 创建一个AI模型服务

创建一个服务来使用AI模型。这可以是一个简单的Spring服务类。以下是一个示例，展示了如何使用Spring AI来预测数据：

创建一个AI模型配置类

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.cloud.ai.annotation.EnableAi;

@Configuration
@EnableAi
public class AiModelConfig {

    @Bean
    public AiModel myAiModel() {
        return new AiModel("my-model");
    }
}
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创建一个AI服务类

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cloud.ai.annotation.AiModel;
import org.springframework.stereotype.Service;

@Service
public class AiService {

    @Autowired
    private AiModel aiModel;

    public String predict(String input) {
        return aiModel.predict(input);
    }
}
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步骤 3: 创建一个控制器来使用AI服务

创建一个Spring MVC控制器，来调用AI服务：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class AiController {

    @Autowired
    private AiService aiService;

    @GetMapping("/predict")
    public String predict(@RequestParam String input) {
        return aiService.predict(input);
    }
}
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步骤 4: 启动应用程序

确保启动类已经配置：

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class AiApplication {
    public static void main(String[] args) {
        SpringApplication.run(AiApplication.class, args);
    }
}
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全部代码示例

整合以上所有部分，完整的代码示例如下：

pom.xml

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-jpa</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-openfeign</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-ai</artifactId>
        <version>0.1.0</version>
    </dependency>
</dependencies>

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-dependencies</artifactId>
            <version>Hoxton.SR9</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>
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AiApplication.java

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class AiApplication {
    public static void main(String[] args) {
        SpringApplication.run(AiApplication.class, args);
    }
}
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AiModelConfig.java

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.cloud.ai.annotation.EnableAi;

@Configuration
@EnableAi
public class AiModelConfig {

    @Bean
    public AiModel myAiModel() {
        return new AiModel("my-model");
    }
}
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AiService.java

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cloud.ai.annotation.AiModel;
import org.springframework.stereotype.Service;

@Service
public class AiService {

    @Autowired
    private AiModel aiModel;

    public String predict(String input) {
        return aiModel.predict(input);
    }
}
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AiController.java

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class AiController {

    @Autowired
    private AiService aiService;

    @GetMapping("/predict")
    public String predict(@RequestParam String input) {
        return aiService.predict(input);
    }
}
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以上就完成了一个简单的Spring AI集成示例。这个示例展示了如何配置和使用一个AI模型，并通过REST API来调用该模型进行预测。