Spring-AI基于GPT3.5实现开发WEB应用------Spring-AI框架_springai设置3.5

package com.alatus.springai.controller;
 
import jakarta.annotation.Resource;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.ai.openai.OpenAiChatClient;
import reactor.core.publisher.Flux;
 
@RestController
public class ChatController {
    @Resource
    private OpenAiChatClient openAiChatClient;
 
    @RequestMapping(value = "/ai/chat")
    public String chat(@RequestParam(value = "msg") String msg){
        return openAiChatClient.call(msg);
    }
 
    @RequestMapping(value = "/ai/chat2")
    public Object chat2(@RequestParam(value = "msg")String msg){
        ChatResponse call = openAiChatClient.call(new Prompt(msg));
        return call.getResult().getOutput().getContent();
        //第二个是获取完整对象用的
//        return call;
    }
 
    @RequestMapping(value = "/ai/chat3")
    public Object chat3(@RequestParam(value = "msg")String msg){
//        可选参数如果配置文件和代码中都出现了,以代码配置为准
        ChatResponse call = openAiChatClient.call(new Prompt(msg,
                OpenAiChatOptions.builder()
//                        .withModel("gpt-4-32k")//GPT版本,32K是参数
                        .withTemperature(0.1F)//温度越高,回答越不精确,温度越低越精确
                        .build()));
        return call.getResult().getOutput().getContent();
        //第二个是获取完整对象用的
//        return call;
    }
 
    @RequestMapping(value = "/ai/chat4")
    public Object chat4(@RequestParam(value = "msg")String msg){
//        flux将结果以序列返回
        Flux<ChatResponse> flux = openAiChatClient.stream(new Prompt(msg,
                OpenAiChatOptions.builder()
//                        .withModel("gpt-4-32k")//GPT版本,32K是参数
                        .withTemperature(0.1F)//温度越高,回答越不精确,温度越低越精确
                        .build()));
//        数据的序列,一序列的数据,一个一个的数据返回
        flux.toStream().forEach(chatResponse -> {
            System.out.print(chatResponse.getResult().getOutput().getContent());
        });
        return flux.collectList();
    }
}

package com.alatus.springai.controller;

import jakarta.annotation.Resource;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.ai.openai.OpenAiChatClient;
import reactor.core.publisher.Flux;

@RestController
public class ChatController {
    @Resource
    private OpenAiChatClient openAiChatClient;

    @RequestMapping(value = "/ai/chat")
    public String chat(@RequestParam(value = "msg") String msg){
        return openAiChatClient.call(msg);
    }

    @RequestMapping(value = "/ai/chat2")
    public Object chat2(@RequestParam(value = "msg")String msg){
        ChatResponse call = openAiChatClient.call(new Prompt(msg));
        return call.getResult().getOutput().getContent();
        //第二个是获取完整对象用的
//        return call;
    }

    @RequestMapping(value = "/ai/chat3")
    public Object chat3(@RequestParam(value = "msg")String msg){
//        可选参数如果配置文件和代码中都出现了,以代码配置为准
        ChatResponse call = openAiChatClient.call(new Prompt(msg,
                OpenAiChatOptions.builder()
//                        .withModel("gpt-4-32k")//GPT版本,32K是参数
                        .withTemperature(0.1F)//温度越高,回答越不精确,温度越低越精确
                        .build()));
        return call.getResult().getOutput().getContent();
        //第二个是获取完整对象用的
//        return call;
    }

    @RequestMapping(value = "/ai/chat4")
    public Object chat4(@RequestParam(value = "msg")String msg){
//        flux将结果以序列返回
        Flux<ChatResponse> flux = openAiChatClient.stream(new Prompt(msg,
                OpenAiChatOptions.builder()
//                        .withModel("gpt-4-32k")//GPT版本,32K是参数
                        .withTemperature(0.1F)//温度越高,回答越不精确,温度越低越精确
                        .build()));
//        数据的序列,一序列的数据,一个一个的数据返回
        flux.toStream().forEach(chatResponse -> {
            System.out.print(chatResponse.getResult().getOutput().getContent());
        });
        return flux.collectList();
    }
}