mirror of
https://github.com/kuaifan/dootask.git
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1012 lines
32 KiB
Vue
1012 lines
32 KiB
Vue
<template>
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<Modal
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v-model="showModal"
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:title="$L('AI 助手')"
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:mask-closable="false"
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:closable="false"
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:width="shouldCreateNewSession ? '420px' : '600px'"
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class-name="ai-assistant-modal">
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<div class="ai-assistant-content">
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<div
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v-if="responses.length"
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ref="responseContainer"
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class="ai-assistant-output">
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<div
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v-for="response in responses"
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:key="response.id || response.localId"
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class="ai-assistant-output-item">
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<div class="ai-assistant-output-apply">
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<template v-if="response.status === 'error'">
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<span class="ai-assistant-output-error">{{ response.error || $L('发送失败') }}</span>
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</template>
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<template v-else-if="response.rawOutput">
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<Button
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type="primary"
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size="small"
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:loading="response.applyLoading"
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class="ai-assistant-apply-btn"
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@click="applyResponse(response)">
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{{ applyButtonText || $L('应用此内容') }}
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</Button>
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</template>
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<template v-else>
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<Icon type="ios-sync" class="ai-assistant-output-icon icon-loading"/>
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<span class="ai-assistant-output-status">{{ $L('生成中...') }}</span>
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</template>
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</div>
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<div class="ai-assistant-output-meta">
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<span class="ai-assistant-output-model">{{ response.modelLabel || response.model }}</span>
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</div>
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<div v-if="response.prompt" class="ai-assistant-output-question">{{ response.prompt }}</div>
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<DialogMarkdown
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v-if="response.rawOutput"
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class="ai-assistant-output-markdown no-dark-content"
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:text="response.displayOutput || response.rawOutput"/>
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<div v-else class="ai-assistant-output-placeholder">
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{{ response.status === 'error' ? (response.error || $L('发送失败')) : $L('等待 AI 回复...') }}
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</div>
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</div>
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</div>
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<div class="ai-assistant-input">
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<Input
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v-model="inputValue"
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type="textarea"
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:placeholder="inputPlaceholder || $L('请输入你的问题...')"
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:rows="inputRows || 2"
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:autosize="inputAutosize || {minRows:2, maxRows:6}"
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:maxlength="inputMaxlength || 500" />
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</div>
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</div>
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<div slot="footer" class="ai-assistant-footer">
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<div class="ai-assistant-footer-models">
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<Select
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v-model="inputModel"
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:placeholder="$L('选择模型')"
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:loading="modelsLoading"
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:disabled="modelsLoading || modelGroups.length === 0"
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:not-found-text="$L('暂无可用模型')"
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transfer>
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<OptionGroup
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v-for="group in modelGroups"
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:key="group.type"
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:label="group.label">
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<Option
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v-for="option in group.options"
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:key="option.id"
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:value="option.id">
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{{ option.label }}
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</Option>
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</OptionGroup>
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</Select>
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</div>
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<div class="ai-assistant-footer-btns">
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<Button type="text" @click="showModal=false">{{ $L('取消') }}</Button>
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<Button type="primary" :loading="loadIng > 0" @click="onSubmit">{{ submitButtonText || $L('确定') }}</Button>
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</div>
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</div>
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</Modal>
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</template>
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<script>
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import emitter from "../store/events";
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import {SSEClient} from "../utils";
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import {AIBotMap, AIModelNames} from "../utils/ai";
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import DialogMarkdown from "../pages/manage/components/DialogMarkdown.vue";
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export default {
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name: 'AIAssistant',
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components: {DialogMarkdown},
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data() {
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return {
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// 弹窗状态
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showModal: false,
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closing: false,
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loadIng: 0,
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pendingAutoSubmit: false,
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autoSubmitTimer: null,
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applyButtonText: null,
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submitButtonText: null,
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// 输入配置
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inputValue: '',
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inputPlaceholder: null,
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inputRows: null,
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inputAutosize: null,
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inputMaxlength: null,
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// 回调钩子
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applyHook: null,
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beforeSendHook: null,
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renderHook: null,
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// 模型选择
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inputModel: '',
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modelGroups: [],
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modelMap: {},
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modelsFirstLoad: true,
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modelsLoading: false,
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modelCacheKey: 'aiAssistant.model',
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cachedModelId: '',
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// 响应渲染
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responses: [],
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responseSeed: 1,
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maxResponses: 50,
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contextWindowSize: 10,
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activeSSEClients: [],
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}
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},
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mounted() {
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emitter.on('openAIAssistant', this.onOpenAIAssistant);
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this.loadCachedModel();
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},
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beforeDestroy() {
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emitter.off('openAIAssistant', this.onOpenAIAssistant);
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this.clearActiveSSEClients();
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this.clearAutoSubmitTimer();
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},
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computed: {
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selectedModelOption({modelMap, inputModel}) {
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return modelMap[inputModel] || null;
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},
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shouldCreateNewSession() {
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return this.responses.length === 0;
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},
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},
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watch: {
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inputModel(value) {
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this.saveModelCache(value);
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},
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},
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methods: {
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/**
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* 打开助手弹窗并应用参数
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*/
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onOpenAIAssistant(params) {
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if (!$A.isJson(params)) {
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params = {};
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}
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this.inputValue = params.value || '';
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this.inputPlaceholder = params.placeholder || null;
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this.inputRows = params.rows || null;
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this.inputAutosize = params.autosize || null;
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this.inputMaxlength = params.maxlength || null;
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this.applyHook = params.onApply || null;
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this.beforeSendHook = params.onBeforeSend || null;
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this.applyButtonText = params.applyButtonText || null;
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this.submitButtonText = params.submitButtonText || null;
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this.renderHook = params.onRender || null;
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this.pendingAutoSubmit = !!params.autoSubmit;
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//
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this.responses = [];
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this.showModal = true;
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this.fetchModelOptions();
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this.clearActiveSSEClients();
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this.clearAutoSubmitTimer();
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this.$nextTick(() => {
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this.scheduleAutoSubmit();
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});
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},
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/**
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* 读取缓存的模型ID
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*/
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async loadCachedModel() {
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try {
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this.cachedModelId = await $A.IDBString(this.modelCacheKey) || '';
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} catch (e) {
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this.cachedModelId = '';
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}
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},
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/**
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* 持久化模型选择
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*/
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saveModelCache(value) {
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if (!value) {
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return;
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}
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$A.IDBSave(this.modelCacheKey, value);
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this.cachedModelId = value;
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},
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/**
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* 拉取模型配置
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*/
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async fetchModelOptions() {
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const needFetch = this.modelsFirstLoad
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if (needFetch) {
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this.modelsFirstLoad = false;
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this.modelsLoading = true;
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}
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try {
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const {data} = await this.$store.dispatch("call", {
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url: 'assistant/models',
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});
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this.normalizeModelOptions(data);
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} catch (error) {
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if (this.modelGroups.length > 0) {
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return;
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}
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$A.modalError({
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content: error?.msg || '获取模型列表失败',
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onOk: _ => {
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this.showModal = false;
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},
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});
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} finally {
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if (needFetch) {
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this.modelsLoading = false;
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}
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}
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},
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/**
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* 解析模型列表
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*/
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normalizeModelOptions(data) {
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const groups = [];
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const map = {};
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if ($A.isJson(data)) {
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Object.keys(data).forEach(key => {
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const match = key.match(/^(.*?)_models$/);
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if (!match) {
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return;
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}
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const type = match[1];
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const raw = data[key];
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const list = raw ? AIModelNames(raw) : [];
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if (!list.length) {
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return;
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}
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const defaultModel = data[`${type}_model`] || '';
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const label = AIBotMap[type] || type;
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const options = list.slice(0, 5);
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if (defaultModel) {
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const defaultOption = list.find(option => option.value === defaultModel);
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if (defaultOption && !options.some(option => option.value === defaultOption.value)) {
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options.push(defaultOption);
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}
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}
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const group = {
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type,
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label,
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defaultModel,
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options: options.map(option => {
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const id = `${type}:${option.value}`;
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const item = Object.assign({}, option, {
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id,
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type,
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});
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map[id] = item;
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return item;
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}),
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};
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groups.push(group);
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});
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}
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const order = Object.keys(AIBotMap);
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groups.sort((a, b) => {
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const indexA = order.indexOf(a.type);
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const indexB = order.indexOf(b.type);
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if (indexA === -1 && indexB === -1) {
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return a.label.localeCompare(b.label);
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}
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if (indexA === -1) {
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return 1;
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}
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if (indexB === -1) {
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return -1;
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}
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return indexA - indexB;
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});
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this.modelGroups = groups;
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this.modelMap = map;
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this.ensureSelectedModel();
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},
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/**
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* 应用默认或缓存的模型
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*/
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ensureSelectedModel() {
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if (this.inputModel && this.modelMap[this.inputModel]) {
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return;
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}
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if (this.cachedModelId && this.modelMap[this.cachedModelId]) {
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this.inputModel = this.cachedModelId;
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return;
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}
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for (const group of this.modelGroups) {
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if (group.defaultModel) {
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const match = group.options.find(option => option.value === group.defaultModel);
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if (match) {
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this.inputModel = match.id;
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return;
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}
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}
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}
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const firstGroup = this.modelGroups.find(group => group.options.length > 0);
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if (firstGroup) {
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this.inputModel = firstGroup.options[0].id;
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} else {
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this.inputModel = '';
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}
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},
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/**
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* 发送提问并推入响应
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*/
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async onSubmit() {
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if (this.loadIng > 0) {
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return;
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}
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const rawValue = this.inputValue || '';
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const modelOption = this.selectedModelOption;
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if (!modelOption) {
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$A.messageWarning('请选择模型');
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return;
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}
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this.loadIng++;
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let responseEntry = null;
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try {
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const baseContext = this.collectBaseContext(rawValue);
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const context = await this.buildPayloadData(baseContext);
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responseEntry = this.createResponseEntry({
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modelOption,
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prompt: rawValue,
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});
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this.scrollResponsesToBottom();
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const streamKey = await this.fetchStreamKey({
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model_type: modelOption.type,
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model_name: modelOption.value,
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context,
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});
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this.inputValue = '';
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this.startStream(streamKey, responseEntry);
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} catch (error) {
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const msg = error?.msg || '发送失败';
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if (responseEntry) {
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this.markResponseError(responseEntry, msg);
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}
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$A.modalError(msg);
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} finally {
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this.loadIng--;
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}
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},
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/**
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* 构建最终发送的数据
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*/
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async buildPayloadData(context) {
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const baseContext = this.normalizeContextEntries(context);
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if (typeof this.beforeSendHook !== 'function') {
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return baseContext;
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}
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try {
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const clonedContext = baseContext.map(entry => entry.slice());
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const result = this.beforeSendHook(clonedContext);
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const resolved = result && typeof result.then === 'function'
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? await result
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: result;
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const prepared = this.normalizeContextEntries(resolved);
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if (prepared.length) {
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return prepared;
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}
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} catch (e) {
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console.warn('[AIAssistant] onBeforeSend error:', e);
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}
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return baseContext;
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},
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/**
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* 汇总当前会话的基础上下文
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*/
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collectBaseContext(prompt) {
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const pushEntry = (context, role, value) => {
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if (typeof value === 'undefined' || value === null) {
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return;
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}
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const content = String(value).trim();
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if (!content) {
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return;
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}
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context.push([role, content]);
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};
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const context = [];
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const windowSize = Number(this.contextWindowSize) || 0;
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const recentResponses = windowSize > 0
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? this.responses.slice(-windowSize)
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: this.responses;
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recentResponses.forEach(item => {
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if (item.prompt) {
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pushEntry(context, 'human', item.prompt);
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}
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if (item.rawOutput) {
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pushEntry(context, 'assistant', item.rawOutput);
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}
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});
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if (prompt && String(prompt).trim()) {
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pushEntry(context, 'human', prompt);
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}
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return context;
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},
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/**
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* 归一化上下文结构
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*/
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normalizeContextEntries(context) {
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if (!Array.isArray(context)) {
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return [];
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}
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const normalized = [];
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context.forEach(entry => {
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if (!Array.isArray(entry) || entry.length < 2) {
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return;
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}
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const [role, value] = entry;
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const roleName = typeof role === 'string' ? role.trim() : '';
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const content = typeof value === 'string'
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? value.trim()
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: String(value ?? '').trim();
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if (!roleName || !content) {
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return;
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}
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const last = normalized[normalized.length - 1];
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const canMergeWithLast = last
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&& last[0] === roleName
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&& typeof last[1] === 'string'
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&& last[1].slice(-4) === '++++';
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if (canMergeWithLast) {
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const previousContent = last[1].slice(0, -4);
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last[1] = previousContent ? `${previousContent}\n${content}` : content;
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return;
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}
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normalized.push([roleName, content]);
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});
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return normalized;
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},
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|
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/**
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* 请求 stream_key
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*/
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async fetchStreamKey({model_type, model_name, context}) {
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const payload = {
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model_type,
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model_name,
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context: JSON.stringify(context || []),
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};
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const {data} = await this.$store.dispatch("call", {
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url: 'assistant/auth',
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method: 'post',
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data: payload,
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});
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const streamKey = data?.stream_key || '';
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if (!streamKey) {
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throw new Error('获取 stream_key 失败');
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}
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return streamKey;
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},
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/**
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* 启动 SSE 订阅
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*/
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startStream(streamKey, responseEntry) {
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if (!streamKey) {
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throw new Error('获取 stream_key 失败');
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}
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this.clearActiveSSEClients();
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const sse = new SSEClient($A.mainUrl(`ai/invoke/stream/${streamKey}`));
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this.registerSSEClient(sse);
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sse.subscribe(['append', 'replace', 'done'], (type, event) => {
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switch (type) {
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case 'append':
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case 'replace':
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this.handleStreamChunk(responseEntry, type, event);
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break;
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case 'done':
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if (responseEntry && responseEntry.status !== 'error' && responseEntry.rawOutput) {
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responseEntry.status = 'completed';
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}
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this.releaseSSEClient(sse);
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break;
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}
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});
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return sse;
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},
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/**
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* 处理 SSE 片段
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*/
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handleStreamChunk(responseEntry, type, event) {
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if (!responseEntry) {
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return;
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}
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const stickToBottom = this.shouldStickToBottom();
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const payload = this.parseStreamPayload(event);
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const chunk = this.resolveStreamContent(payload);
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if (type === 'replace') {
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responseEntry.rawOutput = chunk;
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} else {
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responseEntry.rawOutput += chunk;
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}
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this.updateResponseDisplayOutput(responseEntry);
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responseEntry.status = 'streaming';
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if (stickToBottom) {
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this.scrollResponsesToBottom();
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}
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},
|
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|
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/**
|
|
* 解析 SSE 数据
|
|
*/
|
|
parseStreamPayload(event) {
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if (!event || !event.data) {
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return {};
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}
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try {
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return JSON.parse(event.data);
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} catch (e) {
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return {};
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}
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},
|
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|
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/**
|
|
* 获取 SSE 文本
|
|
*/
|
|
resolveStreamContent(payload) {
|
|
if (!payload || typeof payload !== 'object') {
|
|
return '';
|
|
}
|
|
if (typeof payload.content === 'string') {
|
|
return payload.content;
|
|
}
|
|
if (typeof payload.c === 'string') {
|
|
return payload.c;
|
|
}
|
|
return '';
|
|
},
|
|
|
|
/**
|
|
* 将 SSE 客户端加入活跃列表，方便后续清理
|
|
*/
|
|
registerSSEClient(sse) {
|
|
if (!sse) {
|
|
return;
|
|
}
|
|
this.activeSSEClients.push(sse);
|
|
},
|
|
|
|
/**
|
|
* 从活跃列表移除 SSE 客户端并执行注销
|
|
*/
|
|
releaseSSEClient(sse) {
|
|
const index = this.activeSSEClients.indexOf(sse);
|
|
if (index > -1) {
|
|
this.activeSSEClients.splice(index, 1);
|
|
}
|
|
sse.unsunscribe();
|
|
},
|
|
|
|
/**
|
|
* 关闭所有活跃的 SSE 连接
|
|
*/
|
|
clearActiveSSEClients() {
|
|
this.activeSSEClients.forEach(sse => {
|
|
try {
|
|
sse.unsunscribe();
|
|
} catch (e) {
|
|
}
|
|
});
|
|
this.activeSSEClients = [];
|
|
},
|
|
|
|
/**
|
|
* 清除自动提交定时器
|
|
*/
|
|
clearAutoSubmitTimer() {
|
|
if (this.autoSubmitTimer) {
|
|
clearTimeout(this.autoSubmitTimer);
|
|
this.autoSubmitTimer = null;
|
|
}
|
|
},
|
|
|
|
/**
|
|
* 调度自动提交
|
|
*/
|
|
scheduleAutoSubmit() {
|
|
if (!this.pendingAutoSubmit) {
|
|
return;
|
|
}
|
|
const attemptSubmit = () => {
|
|
if (!this.pendingAutoSubmit) {
|
|
return;
|
|
}
|
|
if (this.canAutoSubmit()) {
|
|
this.pendingAutoSubmit = false;
|
|
this.clearAutoSubmitTimer();
|
|
this.onSubmit();
|
|
return;
|
|
}
|
|
this.autoSubmitTimer = setTimeout(attemptSubmit, 200);
|
|
};
|
|
this.clearAutoSubmitTimer();
|
|
this.autoSubmitTimer = setTimeout(attemptSubmit, 0);
|
|
},
|
|
|
|
/**
|
|
* 检查是否可以自动提交
|
|
*/
|
|
canAutoSubmit() {
|
|
return !this.modelsLoading
|
|
&& !!this.selectedModelOption
|
|
&& this.responses.length === 0
|
|
&& this.loadIng === 0;
|
|
},
|
|
|
|
/**
|
|
* 新建响应卡片
|
|
*/
|
|
createResponseEntry({modelOption, prompt}) {
|
|
const entry = {
|
|
localId: this.responseSeed++,
|
|
id: null,
|
|
model: modelOption.value,
|
|
modelLabel: modelOption.label,
|
|
type: modelOption.type,
|
|
prompt: prompt.trim(),
|
|
rawOutput: '',
|
|
displayOutput: '',
|
|
status: 'waiting',
|
|
error: '',
|
|
applyLoading: false,
|
|
};
|
|
this.responses.push(entry);
|
|
if (this.responses.length > this.maxResponses) {
|
|
this.responses.shift();
|
|
}
|
|
return entry;
|
|
},
|
|
|
|
/**
|
|
* 标记响应失败
|
|
*/
|
|
markResponseError(response, msg) {
|
|
response.status = 'error';
|
|
response.error = msg;
|
|
},
|
|
|
|
/**
|
|
* 将AI内容应用到父组件
|
|
*/
|
|
applyResponse(response) {
|
|
if (!response || response.applyLoading) {
|
|
return;
|
|
}
|
|
if (!response.rawOutput) {
|
|
$A.messageWarning('暂无可用内容');
|
|
return;
|
|
}
|
|
if (typeof this.applyHook !== 'function') {
|
|
this.closeAssistant();
|
|
return;
|
|
}
|
|
response.applyLoading = true;
|
|
const payload = this.buildResponsePayload(response, true);
|
|
try {
|
|
const result = this.applyHook(payload);
|
|
if (result && typeof result.then === 'function') {
|
|
result.then(() => {
|
|
this.closeAssistant();
|
|
}).catch(error => {
|
|
$A.modalError(error?.msg || '应用失败');
|
|
}).finally(() => {
|
|
response.applyLoading = false;
|
|
});
|
|
} else {
|
|
this.closeAssistant();
|
|
response.applyLoading = false;
|
|
}
|
|
} catch (error) {
|
|
response.applyLoading = false;
|
|
$A.modalError(error?.msg || '应用错误');
|
|
}
|
|
},
|
|
|
|
/**
|
|
* 构造发送给外部回调的统一数据结构
|
|
*/
|
|
buildResponsePayload(response, removeReasoning = false) {
|
|
if (!response) {
|
|
return {
|
|
model: '',
|
|
type: '',
|
|
prompt: '',
|
|
rawOutput: '',
|
|
};
|
|
}
|
|
return {
|
|
model: response.model,
|
|
type: response.type,
|
|
prompt: response.prompt,
|
|
rawOutput: removeReasoning ? this.removeReasoningSections(response.rawOutput) : response.rawOutput,
|
|
};
|
|
},
|
|
|
|
/**
|
|
* 从回调中剔除 reasoning block
|
|
*/
|
|
removeReasoningSections(text) {
|
|
if (typeof text !== 'string') {
|
|
return text;
|
|
}
|
|
return text.replace(/:::\s*reasoning[\s\S]*?:::/gi, '').trim();
|
|
},
|
|
|
|
/**
|
|
* 根据 onRender 回调生成展示文本
|
|
*/
|
|
updateResponseDisplayOutput(response) {
|
|
if (!response) {
|
|
return;
|
|
}
|
|
if (typeof this.renderHook !== 'function') {
|
|
response.displayOutput = response.rawOutput;
|
|
return;
|
|
}
|
|
try {
|
|
const payload = this.buildResponsePayload(response);
|
|
const result = this.renderHook(payload);
|
|
if (result && typeof result.then === 'function') {
|
|
console.warn('[AIAssistant] onRender should be synchronous');
|
|
response.displayOutput = response.rawOutput;
|
|
return;
|
|
}
|
|
response.displayOutput = typeof result === 'string' ? result : response.rawOutput;
|
|
} catch (e) {
|
|
console.warn('[AIAssistant] onRender error:', e);
|
|
response.displayOutput = response.rawOutput;
|
|
}
|
|
},
|
|
|
|
/**
|
|
* 关闭弹窗
|
|
*/
|
|
closeAssistant() {
|
|
if (this.closing) {
|
|
return;
|
|
}
|
|
this.closing = true;
|
|
this.pendingAutoSubmit = false;
|
|
this.clearAutoSubmitTimer();
|
|
this.clearActiveSSEClients();
|
|
this.showModal = false;
|
|
this.responses = [];
|
|
setTimeout(() => {
|
|
this.closing = false;
|
|
}, 300);
|
|
},
|
|
|
|
/**
|
|
* 滚动结果区域到底部
|
|
*/
|
|
scrollResponsesToBottom() {
|
|
this.$nextTick(() => {
|
|
const container = this.$refs.responseContainer;
|
|
if (container && container.scrollHeight) {
|
|
container.scrollTop = container.scrollHeight;
|
|
}
|
|
});
|
|
},
|
|
|
|
/**
|
|
* 判断是否需要保持滚动到底部
|
|
*/
|
|
shouldStickToBottom(threshold = 20) {
|
|
const container = this.$refs.responseContainer;
|
|
if (!container) {
|
|
return true;
|
|
}
|
|
const currentBottom = container.scrollTop + container.clientHeight;
|
|
const distance = container.scrollHeight - currentBottom;
|
|
if (Number.isNaN(distance)) {
|
|
return true;
|
|
}
|
|
return distance <= threshold;
|
|
},
|
|
},
|
|
}
|
|
</script>
|
|
|
|
<style lang="scss">
|
|
.ai-assistant-modal {
|
|
--apply-reasoning-before-bg: #e1e1e1;
|
|
.ivu-modal {
|
|
transition: max-width 0.3s ease;
|
|
.ivu-modal-header {
|
|
padding-left: 30px !important;
|
|
padding-right: 30px !important;
|
|
}
|
|
.ivu-modal-body {
|
|
padding-top: 0 !important;
|
|
padding-bottom: 0 !important;
|
|
}
|
|
.ivu-modal-footer {
|
|
.ivu-btn {
|
|
min-width: auto !important;
|
|
}
|
|
}
|
|
}
|
|
|
|
.ai-assistant-content {
|
|
display: flex;
|
|
flex-direction: column;
|
|
gap: 16px;
|
|
max-height: calc(var(--window-height) - var(--status-bar-height) - var(--navigation-bar-height) - 344px);
|
|
@media (height <= 900px) {
|
|
max-height: calc(var(--window-height) - var(--status-bar-height) - var(--navigation-bar-height) - 214px);
|
|
}
|
|
|
|
.ai-assistant-output {
|
|
flex: 1;
|
|
min-height: 0;
|
|
padding: 12px;
|
|
border-radius: 8px;
|
|
background: #f8f9fb;
|
|
border: 1px solid rgba(0, 0, 0, 0.04);
|
|
overflow-y: auto;
|
|
}
|
|
|
|
.ai-assistant-output-item + .ai-assistant-output-item {
|
|
margin-top: 12px;
|
|
padding-top: 12px;
|
|
border-top: 1px solid rgba(0, 0, 0, 0.05);
|
|
}
|
|
|
|
.ai-assistant-output-apply {
|
|
position: sticky;
|
|
top: 0;
|
|
right: 0;
|
|
z-index: 1;
|
|
display: flex;
|
|
justify-content: flex-end;
|
|
align-items: center;
|
|
height: 24px;
|
|
color: #999;
|
|
gap: 4px;
|
|
}
|
|
|
|
.ai-assistant-output-icon {
|
|
font-size: 16px;
|
|
color: #52c41a;
|
|
}
|
|
|
|
.ai-assistant-apply-btn {
|
|
font-size: 13px;
|
|
display: flex;
|
|
align-items: center;
|
|
justify-content: center;
|
|
}
|
|
|
|
.ai-assistant-output-status {
|
|
color: #52c41a;
|
|
}
|
|
|
|
.ai-assistant-output-error {
|
|
color: #ff4d4f;
|
|
}
|
|
|
|
.ai-assistant-output-meta {
|
|
display: flex;
|
|
align-items: center;
|
|
height: 24px;
|
|
margin-top: -24px;
|
|
}
|
|
|
|
.ai-assistant-output-model {
|
|
max-width: 50%;
|
|
white-space: nowrap;
|
|
overflow: hidden;
|
|
text-overflow: ellipsis;
|
|
font-size: 12px;
|
|
font-weight: 600;
|
|
color: #2f54eb;
|
|
background: rgba(47, 84, 235, 0.08);
|
|
border-radius: 4px;
|
|
padding: 2px 8px;
|
|
}
|
|
|
|
.ai-assistant-output-question {
|
|
display: -webkit-box;
|
|
-webkit-line-clamp: 2;
|
|
-webkit-box-orient: vertical;
|
|
overflow: hidden;
|
|
font-size: 12px;
|
|
color: #666;
|
|
line-height: 1.4;
|
|
margin-top: 8px;
|
|
}
|
|
|
|
.ai-assistant-output-placeholder {
|
|
margin-top: 12px;
|
|
font-size: 13px;
|
|
color: #999;
|
|
padding: 8px;
|
|
border-radius: 6px;
|
|
background: rgba(0, 0, 0, 0.02);
|
|
}
|
|
|
|
.ai-assistant-output-markdown {
|
|
margin-top: 12px;
|
|
font-size: 13px;
|
|
|
|
.apply-reasoning {
|
|
margin: 0 0 12px 0;
|
|
padding: 0 0 0 13px;
|
|
line-height: 26px;
|
|
position: relative;
|
|
|
|
&:before {
|
|
content: "";
|
|
position: absolute;
|
|
top: 0;
|
|
left: 0;
|
|
bottom: 0;
|
|
width: 2px;
|
|
background-color: var(--apply-reasoning-before-bg);
|
|
}
|
|
|
|
.reasoning-label {
|
|
margin-bottom: 4px;
|
|
opacity: 0.9;
|
|
}
|
|
|
|
.reasoning-content {
|
|
opacity: 0.5;
|
|
> p:last-child {
|
|
margin-bottom: 0;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
.ai-assistant-footer {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
flex-wrap: wrap;
|
|
gap: 12px;
|
|
.ai-assistant-footer-models {
|
|
text-align: left;
|
|
.ivu-select-disabled {
|
|
.ivu-select-selection {
|
|
background-color: transparent;
|
|
}
|
|
}
|
|
.ivu-select-selection {
|
|
border: 0;
|
|
box-shadow: none;
|
|
.ivu-select-placeholder,
|
|
.ivu-select-selected-value {
|
|
padding-left: 4px;
|
|
}
|
|
}
|
|
}
|
|
.ai-assistant-footer-btns {
|
|
flex: 1;
|
|
display: flex;
|
|
justify-content: flex-end;
|
|
gap: 12px;
|
|
}
|
|
}
|
|
}
|
|
body.dark-mode-reverse {
|
|
.ai-assistant-modal {
|
|
--apply-reasoning-before-bg: #4e4e56;
|
|
}
|
|
}
|
|
</style>
|