【代码优化】AI:完善 TongYiChatModelTests 单测,方便大家快速体验

This commit is contained in:
YunaiV
2024-07-06 15:45:18 +08:00
parent 0139317ac4
commit 4f11d00cfd
5 changed files with 97 additions and 126 deletions

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@ -14,8 +14,8 @@ public enum AiPlatformEnum {
// ========== 国内平台 ==========
TONG_YI("TongYi", "通义千问"), // 阿里
YI_YAN("YiYan", "文心一言"), // 百度
QIAN_WEN("QianWen", "千问"), // 阿里
DEEP_SEEK("DeepSeek", "DeepSeek"), // DeepSeek
XING_HUO("XingHuo", "星火"), // 讯飞

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@ -55,12 +55,12 @@ public class AiModelFactoryImpl implements AiModelFactory {
return Singleton.get(cacheKey, (Func0<ChatModel>) () -> {
//noinspection EnhancedSwitchMigration
switch (platform) {
case TONG_YI:
return buildTongYiChatModel(apiKey);
case YI_YAN:
return buildYiYanChatClient(apiKey);
case XING_HUO:
return buildXingHuoChatClient(apiKey);
case QIAN_WEN:
return buildQianWenChatClient(apiKey);
case DEEP_SEEK:
return buildDeepSeekChatClient(apiKey);
case OPENAI:
@ -77,16 +77,16 @@ public class AiModelFactoryImpl implements AiModelFactory {
public ChatModel getDefaultChatModel(AiPlatformEnum platform) {
//noinspection EnhancedSwitchMigration
switch (platform) {
case OLLAMA:
return SpringUtil.getBean(OllamaChatModel.class);
case TONG_YI:
return SpringUtil.getBean(TongYiChatModel.class);
case YI_YAN:
return SpringUtil.getBean(QianFanChatModel.class);
case XING_HUO:
return SpringUtil.getBean(XingHuoChatClient.class);
case QIAN_WEN:
return SpringUtil.getBean(TongYiChatModel.class);
case OPENAI:
return SpringUtil.getBean(OpenAiChatModel.class);
case OLLAMA:
return SpringUtil.getBean(OllamaChatModel.class);
default:
throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
}
@ -142,6 +142,20 @@ public class AiModelFactoryImpl implements AiModelFactory {
// ========== 各种创建 spring-ai 客户端的方法 ==========
/**
* 可参考 {@link TongYiAutoConfiguration#tongYiChatClient(Generation, TongYiChatProperties, TongYiConnectionProperties)}
*/
private static TongYiChatModel buildTongYiChatModel(String key) {
com.alibaba.dashscope.aigc.generation.Generation generation = SpringUtil.getBean(Generation.class);
TongYiChatProperties chatOptions = SpringUtil.getBean(TongYiChatProperties.class);
// TODO @芋艿:貌似 apiKey 是全局唯一的???得测试下
// TODO @芋艿:貌似阿里云不是增量返回的
// 该 issue 进行跟进中 https://github.com/alibaba/spring-cloud-alibaba/issues/3790
TongYiConnectionProperties connectionProperties = new TongYiConnectionProperties();
connectionProperties.setApiKey(key);
return new TongYiAutoConfiguration().tongYiChatClient(generation, chatOptions, connectionProperties);
}
/**
* 可参考 {@link OpenAiAutoConfiguration}
*/
@ -196,19 +210,6 @@ public class AiModelFactoryImpl implements AiModelFactory {
return new DeepSeekChatClient(apiKey);
}
/**
* 可参考 {@link TongYiAutoConfiguration#tongYiChatClient(Generation, TongYiChatProperties, TongYiConnectionProperties)}
*/
private static TongYiChatModel buildQianWenChatClient(String key) {
com.alibaba.dashscope.aigc.generation.Generation generation = SpringUtil.getBean(Generation.class);
TongYiChatProperties chatOptions = SpringUtil.getBean(TongYiChatProperties.class);
// TODO @xin貌似 apiKey 是全局唯一的???得测试下
// TODO @xin貌似阿里云不是增量返回的
TongYiConnectionProperties connectionProperties = new TongYiConnectionProperties();
connectionProperties.setApiKey(key);
return new TongYiAutoConfiguration().tongYiChatClient(generation, chatOptions, connectionProperties);
}
private StabilityAiImageModel buildStabilityAiImageClient(String apiKey, String url) {
url = StrUtil.blankToDefault(url, StabilityAiApi.DEFAULT_BASE_URL);
StabilityAiApi stabilityAiApi = new StabilityAiApi(apiKey, StabilityAiApi.DEFAULT_IMAGE_MODEL, url);

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@ -32,7 +32,7 @@ public class AiUtils {
return QianFanChatOptions.builder().withTemperature(temperatureF).withMaxTokens(maxTokens).build();
case XING_HUO:
return XingHuoChatOptions.builder().model(model).temperature(temperatureF).maxTokens(maxTokens).build();
case QIAN_WEN:
case TONG_YI:
return TongYiChatOptions.builder().withModel(model).withTemperature(temperature).withMaxTokens(maxTokens).build();
case DEEP_SEEK:
return DeepSeekChatOptions.builder().model(model).temperature(temperatureF).maxTokens(maxTokens).build();