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【依赖升级】AI：spring-ai-alibaba-starter 升级到最新，解决流式返回报错的问题

This commit is contained in:
YunaiV 2025-03-11 12:53:34 +08:00
parent b9e8495712
commit 99d5e7c509
4 changed files with 4 additions and 5 deletions
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2
yudao-module-ai/yudao-spring-boot-starter-ai/pom.xml
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@ -49,7 +49,7 @@
<!-- 通义千问 -->
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-starter</artifactId>
<version>1.0.0-M5.1</version>
<version>${spring-ai.version}.1</version>
</dependency>
<dependency>
<!-- 文心一言 -->

3
yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/util/AiUtils.java
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@ -22,8 +22,7 @@ public class AiUtils {
// noinspection EnhancedSwitchMigration
switch (platform) {
case TONG_YI:
// TODO @芋艿：tongyi 暂时没 maxTokens 选项
return DashScopeChatOptions.builder().withModel(model).withTemperature(temperature).build();
return DashScopeChatOptions.builder().withModel(model).withTemperature(temperature).withMaxToken(maxTokens).build();
case YI_YAN:
return QianFanChatOptions.builder().model(model).temperature(temperature).maxTokens(maxTokens).build();
case ZHI_PU:

1
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/chat/TongYiChatModelTests.java
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@ -28,6 +28,7 @@ public class TongYiChatModelTests {
.withModel("qwen1.5-72b-chat") // 模型
// .withModel("deepseek-r1") // 模型（deepseek-r1）
// .withModel("deepseek-v3") // 模型（deepseek-v3）
// .withModel("deepseek-r1-distill-qwen-1.5b") // 模型（deepseek-r1-distill-qwen-1.5b）
.build());
@Test

3
yudao-module-ai/yudao-spring-boot-starter-ai/src/test/java/cn/iocoder/yudao/framework/ai/image/TongYiImagesModelTest.java
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@ -3,7 +3,6 @@ package cn.iocoder.yudao.framework.ai.image;
import com.alibaba.cloud.ai.dashscope.api.DashScopeImageApi;
import com.alibaba.cloud.ai.dashscope.image.DashScopeImageModel;
import com.alibaba.cloud.ai.dashscope.image.DashScopeImageOptions;
import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImageOptions;
@ -25,7 +24,7 @@ public class TongYiImagesModelTest {
public void imageCallTest() {
// 准备参数
ImageOptions options = DashScopeImageOptions.builder()
.withModel(ImageSynthesis.Models.WANX_V1)
.withModel("wanx-v1")
.withHeight(256).withWidth(256)
.build();
ImagePrompt prompt = new ImagePrompt("中国长城!", options);