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【优化】兼容阿里云千问开源模型,和付费模型
This commit is contained in:
parent
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commit
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@ -4,13 +4,14 @@ import cn.iocoder.yudao.framework.ai.chat.*;
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import cn.iocoder.yudao.framework.ai.chat.prompt.ChatOptions;
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import cn.iocoder.yudao.framework.ai.chat.prompt.Prompt;
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import cn.iocoder.yudao.framework.ai.chatqianwen.api.QianWenApi;
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import cn.iocoder.yudao.framework.ai.chatqianwen.api.QianWenChatCompletionRequest;
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import cn.iocoder.yudao.framework.ai.chatyiyan.exception.YiYanApiException;
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import com.alibaba.dashscope.aigc.generation.GenerationResult;
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import com.alibaba.dashscope.aigc.generation.models.QwenParam;
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import com.alibaba.dashscope.common.Message;
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import com.google.common.collect.Lists;
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import io.reactivex.Flowable;
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import lombok.extern.slf4j.Slf4j;
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import org.jetbrains.annotations.NotNull;
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import org.springframework.http.ResponseEntity;
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import org.springframework.retry.RetryCallback;
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import org.springframework.retry.RetryContext;
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@ -71,7 +72,7 @@ public class QianWenChatClient implements ChatClient, StreamingChatClient {
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return this.retryTemplate.execute(ctx -> {
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// ctx 会有重试的信息
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// 创建 request 请求,stream模式需要供应商支持
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QianWenChatCompletionRequest request = this.createRequest(prompt, false);
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QwenParam request = this.createRequest(prompt, false);
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// 调用 callWithFunctionSupport 发送请求
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ResponseEntity<GenerationResult> responseEntity = qianWenApi.chatCompletionEntity(request);
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// 获取结果封装 chatCompletion
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@ -81,11 +82,41 @@ public class QianWenChatClient implements ChatClient, StreamingChatClient {
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// response.getRequestId(), response.getCode(), response.getMessage()))));
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// }
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// 转换为 Generation 返回
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return new ChatResponse(List.of(new Generation(response.getOutput().getText())));
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return new ChatResponse(response.getOutput().getChoices().stream()
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.map(choices -> new Generation(choices.getMessage().getContent()))
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.collect(Collectors.toList()));
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});
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}
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private QianWenChatCompletionRequest createRequest(Prompt prompt, boolean stream) {
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private QwenParam createRequest(Prompt prompt, boolean stream) {
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// 获取 ChatOptions
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QianWenOptions chatOptions = getChatOptions(prompt);
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//
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List<Message> messageList = Lists.newArrayList();
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prompt.getInstructions().stream().forEach(instruction -> {
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Message message = new Message();
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message.setRole(instruction.getMessageType().getValue());
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message.setContent(instruction.getContent());
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messageList.add(message);
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});
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return QwenParam.builder()
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.model(qianWenApi.getQianWenChatModal().getValue())
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.prompt(prompt.getContents())
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.messages(messageList)
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.maxTokens(chatOptions.getMaxTokens())
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.resultFormat(QwenParam.ResultFormat.MESSAGE)
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.topP(Double.valueOf(chatOptions.getTopP()))
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.topK(chatOptions.getTopK())
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.temperature(chatOptions.getTemperature())
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// 控制流式输出模式,即后面的内容会包含已经输出的内容;设置为True,将开启增量输出模式,后面的输出不会包含已经输出的内容,您需要自行拼接整体输出
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.incrementalOutput(true)
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/* set the random seed, optional, default to 1234 if not set */
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.seed(100)
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.apiKey(qianWenApi.getApiKey())
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.build();
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}
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private @NotNull QianWenOptions getChatOptions(Prompt prompt) {
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// 两个都为null 则没有配置文件
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if (qianWenOptions == null && prompt.getOptions() == null) {
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throw new ChatException("ChatOptions 未配置参数!");
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@ -96,37 +127,27 @@ public class QianWenChatClient implements ChatClient, StreamingChatClient {
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options = (ChatOptions) prompt.getOptions();
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}
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// Prompt 里面是一个 ChatOptions,用户可以随意传入,这里做一下判断
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if (!(options instanceof QianWenOptions qianWenOptions)) {
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if (!(options instanceof QianWenOptions)) {
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throw new ChatException("Prompt 传入的不是 QianWenOptions!");
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}
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return (QianWenChatCompletionRequest) QianWenChatCompletionRequest.builder()
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.model(qianWenApi.getQianWenChatModal().getValue())
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.apiKey(qianWenApi.getApiKey())
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.messages(prompt.getInstructions().stream().map(m -> {
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Message message = new Message();
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message.setRole(m.getMessageType().getValue());
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message.setContent(m.getContent());
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return message;
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}).collect(Collectors.toList()))
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.resultFormat(QwenParam.ResultFormat.MESSAGE)
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// 动态改变的三个参数
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.topP(Double.valueOf(qianWenOptions.getTopP()))
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.topK(qianWenOptions.getTopK())
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.temperature(qianWenOptions.getTemperature())
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.incrementalOutput(true)
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.build();
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return (QianWenOptions) options;
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}
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@Override
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public Flux<ChatResponse> stream(Prompt prompt) {
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// ctx 会有重试的信息
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// 创建 request 请求,stream模式需要供应商支持
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QianWenChatCompletionRequest request = this.createRequest(prompt, true);
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QwenParam request = this.createRequest(prompt, true);
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// 调用 callWithFunctionSupport 发送请求
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Flowable<GenerationResult> responseResult = this.qianWenApi.chatCompletionStream(request);
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return Flux.create(fluxSink ->
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responseResult.subscribe(
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value -> fluxSink.next(new ChatResponse(List.of(new Generation(value.getOutput().getText())))),
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value -> fluxSink.next(
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new ChatResponse(value.getOutput().getChoices().stream()
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.map(choices -> new Generation(choices.getMessage().getContent()))
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.collect(Collectors.toList()))
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),
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error -> fluxSink.error(error),
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() -> fluxSink.complete()
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)
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@ -15,7 +15,7 @@ import java.util.List;
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* time: 2024/3/15 19:57
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*/
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@Data
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@Accessors
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@Accessors(chain = true)
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public class QianWenOptions implements ChatOptions {
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/**
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@ -28,6 +28,10 @@ public class QianWenOptions implements ChatOptions {
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* 默认值为0.8。注意,取值不要大于等于1
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*/
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private Float topP;
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/**
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* 用于限制模型生成token的数量,max_tokens设置的是生成上限,并不表示一定会生成这么多的token数量。其中qwen1.5-14b-chat、qwen1.5-7b-chat、qwen-14b-chat和qwen-7b-chat最大值和默认值均为1500,qwen-1.8b-chat、qwen-1.8b-longcontext-chat和qwen-72b-chat最大值和默认值均为2000
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*/
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private Integer maxTokens = 1500;
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//
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// 适配 ChatOptions
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@ -4,6 +4,7 @@ import cn.iocoder.yudao.framework.ai.chatqianwen.QianWenChatModal;
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import cn.iocoder.yudao.framework.ai.exception.AiException;
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import com.alibaba.dashscope.aigc.generation.Generation;
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import com.alibaba.dashscope.aigc.generation.GenerationResult;
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import com.alibaba.dashscope.aigc.generation.models.QwenParam;
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import com.alibaba.dashscope.common.Message;
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import com.alibaba.dashscope.common.Role;
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import com.alibaba.dashscope.exception.InputRequiredException;
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@ -34,9 +35,7 @@ public class QianWenApi {
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this.qianWenChatModal = qianWenChatModal;
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}
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public ResponseEntity<GenerationResult> chatCompletionEntity(QianWenChatCompletionRequest request) {
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Message userMsg = Message.builder().role(Role.USER.getValue()).content("用萝卜、土豆、茄子做饭,给我个菜谱").build();
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public ResponseEntity<GenerationResult> chatCompletionEntity(QwenParam request) {
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GenerationResult call;
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try {
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call = gen.call(request);
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@ -49,7 +48,7 @@ public class QianWenApi {
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return new ResponseEntity<>(call, HttpStatusCode.valueOf(200));
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}
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public Flowable<GenerationResult> chatCompletionStream(QianWenChatCompletionRequest request) {
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public Flowable<GenerationResult> chatCompletionStream(QwenParam request) {
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Flowable<GenerationResult> resultFlowable;
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try {
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resultFlowable = gen.streamCall(request);
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@ -47,6 +47,7 @@ public class YudaoAiAutoConfiguration {
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QianWenOptions qianWenOptions = new QianWenOptions();
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qianWenOptions.setTopK(qianWenProperties.getTopK());
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qianWenOptions.setTopP(qianWenProperties.getTopP());
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qianWenOptions.setMaxTokens(qianWenProperties.getMaxTokens());
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qianWenOptions.setTemperature(qianWenProperties.getTemperature());
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return new QianWenChatClient(
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new QianWenApi(
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@ -47,6 +47,10 @@ public class YudaoAiProperties {
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* api key
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*/
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private String apiKey;
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/**
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* 用于限制模型生成token的数量,max_tokens设置的是生成上限,并不表示一定会生成这么多的token数量
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*/
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private Integer maxTokens;
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/**
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* model
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*/
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@ -1,13 +1,25 @@
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package cn.iocoder.yudao.framework.ai.chat;
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import cn.iocoder.yudao.framework.ai.chat.messages.SystemMessage;
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import cn.iocoder.yudao.framework.ai.chat.messages.UserMessage;
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import cn.iocoder.yudao.framework.ai.chat.prompt.Prompt;
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import cn.iocoder.yudao.framework.ai.chatqianwen.api.QianWenApi;
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import cn.iocoder.yudao.framework.ai.chatqianwen.QianWenChatClient;
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import cn.iocoder.yudao.framework.ai.chatqianwen.QianWenChatModal;
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import cn.iocoder.yudao.framework.ai.chatqianwen.QianWenOptions;
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import cn.iocoder.yudao.framework.ai.chatqianwen.api.QianWenApi;
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import com.alibaba.dashscope.aigc.generation.GenerationResult;
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import com.alibaba.dashscope.aigc.generation.models.QwenParam;
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import com.alibaba.dashscope.common.Message;
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import com.alibaba.dashscope.common.MessageManager;
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import com.alibaba.dashscope.common.Role;
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import com.alibaba.dashscope.exception.InputRequiredException;
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import com.alibaba.dashscope.exception.NoApiKeyException;
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import org.junit.Before;
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import org.junit.Test;
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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.Scanner;
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import java.util.function.Consumer;
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@ -21,28 +33,34 @@ public class QianWenChatClientTests {
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@Before
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public void setup() {
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QianWenApi qianWenApi = new QianWenApi(
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"LTAI5tNTVhXW4fLKUjMrr98z",
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"ZJ0JQeyjzxxm5CfeTV6k1wNE9UsvZP",
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"f0c1088824594f589c8f10567ccd929f_p_efm",
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null
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);
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QianWenApi qianWenApi = new QianWenApi("sk-Zsd81gZYg7", QianWenChatModal.QWEN_72B_CHAT);
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QianWenOptions qianWenOptions = new QianWenOptions();
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qianWenOptions.setTopP(0.8F);
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qianWenOptions.setTopK(3);
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qianWenOptions.setTemperature(0.6F);
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qianWenChatClient = new QianWenChatClient(
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qianWenApi,
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new QianWenOptions()
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.setAppId("5f14955f201a44eb8dbe0c57250a32ce")
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qianWenOptions
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);
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}
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@Test
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public void callTest() {
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ChatResponse call = qianWenChatClient.call(new Prompt("Java语言怎么样?"));
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List<cn.iocoder.yudao.framework.ai.chat.messages.Message> messages = new ArrayList<>();
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messages.add(new SystemMessage("你是一个优质的小红书文艺作者,抒写着各城市的美好文化和风景。"));
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messages.add(new UserMessage("长沙怎么样?"));
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ChatResponse call = qianWenChatClient.call(new Prompt(messages));
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System.err.println(call.getResult());
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}
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@Test
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public void streamTest() {
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Flux<ChatResponse> flux = qianWenChatClient.stream(new Prompt("Java语言怎么样?"));
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List<cn.iocoder.yudao.framework.ai.chat.messages.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("长沙怎么样?"));
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Flux<ChatResponse> flux = qianWenChatClient.stream(new Prompt(messages));
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flux.subscribe(new Consumer<ChatResponse>() {
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@Override
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public void accept(ChatResponse chatResponse) {
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@ -54,4 +72,32 @@ public class QianWenChatClientTests {
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Scanner scanner = new Scanner(System.in);
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scanner.nextLine();
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}
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@Test
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public void qianwenDemoTest() throws NoApiKeyException, InputRequiredException {
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com.alibaba.dashscope.aigc.generation.Generation gen = new com.alibaba.dashscope.aigc.generation.Generation();
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MessageManager msgManager = new MessageManager(10);
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Message systemMsg =
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Message.builder().role(Role.SYSTEM.getValue()).content("You are a helpful assistant.").build();
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Message userMsg = Message.builder().role(Role.USER.getValue()).content("就当前的海洋污染的情况,写一份限塑的倡议书提纲,需要有理有据地号召大家克制地使用塑料制品").build();
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msgManager.add(systemMsg);
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msgManager.add(userMsg);
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QwenParam param =
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QwenParam.builder().model("qwen-72b-chat").messages(msgManager.get())
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.resultFormat(QwenParam.ResultFormat.MESSAGE)
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.topP(0.8)
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/* set the random seed, optional, default to 1234 if not set */
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.seed(100)
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.apiKey("sk-Zsd81gZYg7")
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.build();
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GenerationResult result = gen.call(param);
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System.out.println(result);
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System.out.println("-----------------");
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System.out.println("-----------------");
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msgManager.add(result);
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param.setPrompt("能否缩短一些,只讲三点");
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param.setMessages(msgManager.get());
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result = gen.call(param);
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System.out.println(result);
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}
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}
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@ -6,7 +6,7 @@ import cn.iocoder.yudao.framework.ai.midjourney.api.req.AttachmentsReq;
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import cn.iocoder.yudao.framework.ai.midjourney.api.req.DescribeReq;
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import cn.iocoder.yudao.framework.ai.midjourney.api.req.ReRollReq;
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import cn.iocoder.yudao.framework.ai.midjourney.api.res.UploadAttachmentsRes;
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import com.alibaba.fastjson.JSON;
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import cn.iocoder.yudao.framework.common.util.json.JsonUtils;
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import org.junit.Before;
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import org.junit.Test;
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import org.springframework.core.io.FileSystemResource;
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@ -58,7 +58,7 @@ public class MidjourneyInteractionsTests {
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new AttachmentsReq().setFileSystemResource(
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new FileSystemResource(new File("/Users/fansili/Downloads/DSC01402.JPG")))
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);
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System.err.println(JSON.toJSONString(res));
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System.err.println(JsonUtils.toJsonString(res));
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}
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@Test
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@ -228,14 +228,11 @@ yudao:
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qianwen:
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enable: true
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aiPlatform: QIAN_WEN
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temperature: 1
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topP: 1
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topK: 1
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endpoint: bailian.cn-beijing.aliyuncs.com
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accessKeyId: LTAI5tNTVhXW4fLKUjMrr98z
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accessKeySecret: ZJ0JQeyjzxxm5CfeTV6k1wNE9UsvZP
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agentKey: f0c1088824594f589c8f10567ccd929f_p_efm
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appId: 5f14955f201a44eb8dbe0c57250a32ce
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temperature: 0.85
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topP: 0.8
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topK: 0
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api-key: sk-Zsd81gZYg7
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max-tokens: 1500
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xinghuo:
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enable: true
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aiPlatform: XING_HUO
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