<code>spring:

application:

name:spring-ai-01-chat

ai:

openai:

api-key: ${OPENAI_API_KEY}

base-url: ${OPENAI_API_URL}

chat:

option:

#model:gpt-4-32k

model:gpt-3.5-turbo

temperature:0.3F

http://t.csdnimg.cn/32fqr小白如何设置openai api key的环境变量

controller文件内容：

生成文字

package com.zzq.controller;

import jakarta.annotation.Resource;

import org.springframework.ai.chat.ChatResponse;

import org.springframework.ai.chat.prompt.Prompt;

import org.springframework.ai.openai.OpenAiChatClient;

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 reactor.core.publisher.Flux;

@RestController

public class ChatController {

/**

* OpenAi自动装配，可以直接注入使用

*/

@Resource

private OpenAiChatClient openAiChatClient;

/**

* 调用OpenAi的接口,call方法为同步的api

* @param msg 你要问的问题

* @return

*/

@RequestMapping("/ai/chat")

public String chat(@RequestParam("msg") String msg) {

String called = openAiChatClient.call(msg);

return called;

}

/**

* 调用OpenAi的接口

* @param msg 你要问的问题

* @return Object--json对象

*/

@RequestMapping ("/ai/chat1")

public Object chat1(@RequestParam("msg") String msg) {

ChatResponse response = openAiChatClient.call(new Prompt(msg));

return response;

// return response.getResult().getOutput().getContent();//只拿到内容

}

/**

* 调用OpenAi的接口

* @param msg 你要问的问题

* @return

*/

@RequestMapping ("/ai/chat3")

public String chat3(@RequestParam("msg") String msg) {

//可选参数在yml配置，同时在代码中也配置，那么会以代码为准

ChatResponse response = openAiChatClient.call(new Prompt(msg, OpenAiChatOptions.builder()

// .withModel("gpt-4-32k")//使用的模型,32k是参数量//参数量越高，准确率越高

.withTemperature(0.3F)//温度越高回答越慢，温度越低回答越快

.build()));

return response.getResult().getOutput().getContent();

}

/**

* 调用OpenAi的接口 stream是流式的api

* @param msg 你要问的问题

* @return

*/

@RequestMapping ("/ai/chat4")

public Object chat4(@RequestParam("msg") String msg) {

//可选参数在yml配置，同时在代码中也配置，那么会以代码为准

Flux<ChatResponse> flux = openAiChatClient.stream(new Prompt(msg, OpenAiChatOptions.builder()

// .withModel("gpt-3.5")//使用的模型

.withTemperature(0.3F)//温度越高回答越慢，温度越低回答越快

.build()));

flux.toStream().forEach(chatResponse ->{

System.out.println(chatResponse.getResult().getOutput().getContent());

});

return flux.collectList();//数据的序列,一序列的数据，一个一个的数据返回

}

}

spring-ai-02-image

application文件内容(代码配置的会覆盖yml文件中的)

更改可以生成image的api-key

画图模型版本

n:1(生成图片两张)

height:1024(高度)

width:1024(宽度)

quality:hd(高清)

spring:

application:

name:spring-ai-02-image

ai:

openai:

api-key: ${OPENAI_API_KEY}

base-url: ${OPENAI_API_URL}

image:

options:

model:gpt-4-dalle

controller内容：

生成图片

图片无法使用流式api

package com.zzq.controller;

import jakarta.annotation.Resource;

import org.springframework.ai.image.ImageOptionsBuilder;

import org.springframework.ai.image.ImagePrompt;

import org.springframework.ai.image.ImageResponse;

import org.springframework.ai.openai.OpenAiImageClient;

import org.springframework.web.bind.annotation.GetMapping;

import org.springframework.web.bind.annotation.RequestParam;

import org.springframework.web.bind.annotation.RestController;

@RestController

public class ImageController {

@Resource

private OpenAiImageClient openAiImageClient;

@RequestMapping("/ai/image")

private Object image(@RequestParam(value="msg")String msg){code>

ImageResponse imageResponse=openAiImageClient.call(new ImagePrompt(msg));

System.out.println(imageResonse);

//把图片进行业务处理

String imageUrl=return response.getResult().getOutput().getUrl();

return response.getResult().getOutput().getUrl();

/* @GetMapping("/ai/draw")

public String drawImage(@RequestParam(value = "msg") String msg){

ImageResponse response = openAiImageClient.call(new ImagePrompt(msg,

ImageOptionsBuilder

.builder()

.withQuality("hd")//高清图像

.withModel("dall-e-3") //绘画模型

.withN(1) //生成图像的个数

.withWidth(1024) //图像宽度 默认值

.withHeight(1024) //图像高度 默认值

.build()

)

);

//返回结果图片的地址

return response.getResult().getOutput().getUrl();

*/

}

}

生成语音