package cn.iocoder.yudao.module.ai.framework.ai.core.model.chat;
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import cn.hutool.system.SystemUtil;
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import org.junit.jupiter.api.Disabled;
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import org.junit.jupiter.api.Test;
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import org.springframework.ai.chat.messages.Message;
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import org.springframework.ai.chat.messages.SystemMessage;
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import org.springframework.ai.chat.messages.UserMessage;
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import org.springframework.ai.chat.model.ChatResponse;
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import org.springframework.ai.chat.prompt.Prompt;
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import org.springframework.ai.openai.OpenAiChatModel;
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import org.springframework.ai.openai.OpenAiChatOptions;
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import reactor.core.publisher.Flux;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Objects;
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import static cn.iocoder.yudao.module.ai.util.AiUtils.validateApiKey;
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/**
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* {@link OpenAiChatModel} 集成测试
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*
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* @author 芋道源码
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*/
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public class OpenAIChatModelTests {
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private static final String BASE_URL = SystemUtil.get("OPENAI_BASE_URL",
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"https://api.teamorouter.com/v1");
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private static final String API_KEY = SystemUtil.get("OPENAI_API_KEY",
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"sk-xxxx"); // 按需改成你的 OpenAI API Key
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private static final String MODEL = SystemUtil.get("OPENAI_MODEL",
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"gpt-5.5");
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private final OpenAiChatModel chatModel = OpenAiChatModel.builder()
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.options(OpenAiChatOptions.builder()
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.baseUrl(BASE_URL)
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.apiKey(API_KEY)
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.model(MODEL)
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.temperature(0.7)
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.build())
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.build();
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@Test
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@Disabled
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public void testCall() {
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validateApiKey(API_KEY);
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
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messages.add(new UserMessage("1 + 1 = ？"));
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// 调用
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ChatResponse response = chatModel.call(new Prompt(messages));
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// 打印结果
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System.out.println(response);
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System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
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}
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@Test
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@Disabled
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public void testStream() {
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validateApiKey(API_KEY);
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的文言文作者，用文言文描述着各城市的人文风景。"));
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messages.add(new UserMessage("帮我推理下，怎么实现一个用户中心！"));
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// 调用
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Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages));
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// 打印结果
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flux.doOnNext(response -> {
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// System.out.println(response);
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System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
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}).then().block();
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}
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// TODO @芋艿：无法触发思考的字段返回，需要 response api：https://github.com/spring-projects/spring-ai/issues/2962
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@Test
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@Disabled
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public void testStream_thinking() {
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validateApiKey(API_KEY);
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// 准备参数
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List<Message> messages = new ArrayList<>();
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messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
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OpenAiChatOptions options = OpenAiChatOptions.builder()
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.baseUrl(BASE_URL)
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.apiKey(API_KEY)
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.model(MODEL)
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.reasoningEffort("low") // https://help.openai.com/zh-hant/articles/5072518-controlling-the-length-of-openai-model-responses
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.maxCompletionTokens(1024)
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.build();
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// 调用
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Flux<ChatResponse> flux = chatModel.stream(new Prompt(messages, options));
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// 打印结果
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flux.doOnNext(response -> {
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// System.out.println(response);
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System.out.println(Objects.requireNonNull(response.getResult()).getOutput());
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}).then().block();
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}
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}
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