package cn.iocoder.yudao.module.ai.api.chat;
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import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
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import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiModelDO;
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import cn.iocoder.yudao.module.ai.enums.model.AiModelTypeEnum;
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import cn.iocoder.yudao.module.ai.service.model.AiModelService;
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import jakarta.annotation.Resource;
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import lombok.extern.slf4j.Slf4j;
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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.ChatModel;
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import org.springframework.ai.chat.prompt.Prompt;
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import org.springframework.ai.content.Media;
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import org.springframework.core.io.ByteArrayResource;
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import org.springframework.stereotype.Service;
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import org.springframework.util.MimeTypeUtils;
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import java.util.Base64;
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import java.util.List;
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@Service
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@Slf4j
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public class AiChatApiImpl implements AiChatApi {
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@Resource
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private AiModelService modelService;
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@Override
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public String chat(String systemPrompt, String userMessage) {
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AiModelDO defaultModel = modelService.getRequiredDefaultModel(AiModelTypeEnum.CHAT.getType());
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ChatModel chatModel = modelService.getChatModel(defaultModel.getId());
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Prompt prompt = new Prompt(List.of(
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new SystemMessage(systemPrompt),
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new UserMessage(userMessage)));
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String result = chatModel.call(prompt).getResult().getOutput().getText();
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log.info("AI Chat 调用完成，模型: {}, 回复长度: {}", defaultModel.getModel(),
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result != null ? result.length() : 0);
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return result;
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}
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@Override
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public String chatWithImage(String systemPrompt, String userMessage, String imageBase64, String mimeType) {
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// 优先选择视觉模型（模型名含 vl），否则回退到默认对话模型
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List<AiModelDO> chatModels = modelService.getModelListByStatusAndType(
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CommonStatusEnum.ENABLE.getStatus(), AiModelTypeEnum.CHAT.getType(), null);
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AiModelDO visionModel = chatModels.stream()
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.filter(m -> m.getModel() != null && m.getModel().contains("vl"))
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.findFirst()
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.orElseGet(() -> modelService.getRequiredDefaultModel(AiModelTypeEnum.CHAT.getType()));
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ChatModel chatModel = modelService.getChatModel(visionModel.getId());
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byte[] imageBytes = Base64.getDecoder().decode(imageBase64);
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Media media = new Media(MimeTypeUtils.parseMimeType(mimeType),
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new ByteArrayResource(imageBytes));
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UserMessage imageMessage = UserMessage.builder()
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.text(userMessage)
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.media(List.of(media))
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.build();
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Prompt prompt = new Prompt(List.of(
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new SystemMessage(systemPrompt),
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imageMessage));
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String result = chatModel.call(prompt).getResult().getOutput().getText();
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log.info("AI Chat(多模态) 调用完成，模型: {}, 回复长度: {}", visionModel.getModel(),
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result != null ? result.length() : 0);
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return result;
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}
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}
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