【langchain4j接入springboot项目】想学AI平台接入？langchain4j，是不二的选择

一、项目结构

二、示例代码

1.Calulator.java

package org.ivy.aiservice.func;

import dev.langchain4j.agent.tool.Tool;
import org.springframework.stereotype.Component;

@Component
public class Calculator {

    @Tool("Calculates the length of a string")
    int stringLength(String s) {
        System.out.println("Called stringLength with s='" + s + "'");
        return s.length();
    }

    @Tool("Calculates the sum of two numbers")
    int add(int a, int b) {
        System.out.println("Called add with a=" + a + ", b=" + b);
        return a + b;
    }

    @Tool("Calculates the square root of a number")
    double sqrt(int x) {
        System.out.println("Called sqrt with x=" + x);
        return Math.sqrt(x);
    }
}

2.Assistant.java

package org.ivy.aiservice.service;

import dev.langchain4j.service.spring.AiService;
import dev.langchain4j.service.spring.AiServiceWiringMode;

/**
 * 通过 @AiService 注解声明一个 AI 助手接口，并指定 chatModel 为 openAiChatModel。
 */
@AiService(
        wiringMode = AiServiceWiringMode.EXPLICIT,
        chatModel = "openAiChatModel",
        tools = {"calculator"}
)
public interface Assistant {
    String chat(String userMessage);
}

3.ChatController.java

package org.ivy.aiservice;

import org.ivy.aiservice.service.Assistant;
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;

@RequestMapping("/hl")
@RestController
public class ChatController {
    private final Assistant assistant;

    public ChatController(Assistant assistant) {
        this.assistant = assistant;
    }

    @GetMapping("/chat")
    public String chat(
            @RequestParam(value = "prompt",
                    defaultValue = "What is the square root of the sum of the numbers of letters in the words \"hello\" and \"world\"?")
            String prompt) {
        return assistant.chat(prompt);
    }
}

4.ChatExamplesApplication.java

package org.ivy;

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

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

5.application.yml

base-url与api-key填入自己的即可

server:
  port: 8801
spring:
  application:
    name: chat-high-level-service
langchain4j:
  open-ai:
    chat-model:
      api-key: xxxx
      model-name: gpt-4o-mini
      base-url:xxxx
      log-requests: true
      log-responses: true
    streaming-chat-model:
      api-key: xxxx
      base-url: xxxx
      model-name: gpt-4o-mini