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+package cn.iocoder.yudao.framework.ai.chat;
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+
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+import com.azure.ai.openai.OpenAIClient;
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+import com.azure.ai.openai.OpenAIClientBuilder;
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+import com.azure.core.credential.AzureKeyCredential;
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+import com.azure.core.util.ClientOptions;
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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.azure.openai.AzureOpenAiChatModel;
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+import org.springframework.ai.azure.openai.AzureOpenAiChatOptions;
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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 reactor.core.publisher.Flux;
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+
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+import java.util.ArrayList;
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+import java.util.List;
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+
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+import static org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperties.DEFAULT_DEPLOYMENT_NAME;
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+
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+/**
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+ * {@link AzureOpenAiChatModel} 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 AzureOpenAIChatModelTests {
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+
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+ private final OpenAIClient openAiApi = (new OpenAIClientBuilder())
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+ .endpoint("https://eastusprejade.openai.azure.com")
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+ .credential(new AzureKeyCredential("xxx"))
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+ .clientOptions((new ClientOptions()).setApplicationId("spring-ai"))
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+ .buildClient();
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+ private final AzureOpenAiChatModel chatModel = new AzureOpenAiChatModel(openAiApi,
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+ AzureOpenAiChatOptions.builder().withDeploymentName(DEFAULT_DEPLOYMENT_NAME).build());
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+
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+ @Test
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+ @Disabled
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+ public void testCall() {
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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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+
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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(response.getResult().getOutput());
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+ }
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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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+ // 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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+
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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(response.getResult().getOutput());
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+ }).then().block();
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+ }
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+
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+}
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