260 lines
6.6 KiB
Vue
260 lines
6.6 KiB
Vue
<template>
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<div class="agent-container flex flex-col">
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<div class="agent-header flex align-center space-between">
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<div class="header-title-wrapper">
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<div class="agent-title">{{ props.title }}</div>
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<div class="agent-name">AI Assistant 1.0</div>
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</div>
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<SvgIcon name="equal" color="#0d0d0d" size="24" />
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</div>
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<div class="agent-body flex-1 flex flex-col">
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<List ref="listRef" :message-list="messageList" />
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<Input is-agent-mode @send="handleSendMessage" />
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</div>
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</div>
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</template>
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<script setup lang="ts">
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import { ref, reactive, computed, onUnmounted } from 'vue'
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import List from './List.vue'
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import Input from '../../components/Input.vue'
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import { fetchAgentReply } from '@/api/agent'
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import type { AgentParamsType } from '@/api/agent'
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import { useUserInfoStore } from '@/stores'
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const userStore = useUserInfoStore()
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const props = withDefaults(
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defineProps<{
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title: string
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}>(),
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{
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title: 'Retro Sofa Sketch'
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}
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)
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const messageList = ref([])
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const listRef = ref()
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const params = reactive<AgentParamsType>({
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threadId: '',
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message: '',
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token: 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIyIiwiaWF0IjoxNzcwNzkxMzEyLCJleHAiOjE3NzA4Nzc3MTJ9.xydPinm9l5Yq6GMkfaaVvdHjiINaYrp5VkRM7B9g83A',
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checkpointId: '',
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configParams: {
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type: 'Chair',
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region: 'China',
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style: 'Transitional',
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temperature: 0.7
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},
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imageUrlList: []
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})
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const abort = new AbortController()
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onUnmounted(() => {
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abort.abort()
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})
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const handleSendMessage = async (message: string) => {
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console.log('Message sent:', message)
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params.message = message.text
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params.imageUrlList = message.images || []
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messageList.value.push({
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id: messageList.value.length + 1,
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text: message.text,
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isUser: true
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})
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// Add AI loading message
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const aiMessage = reactive({
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id: messageList.value.length + 1,
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text: '',
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isUser: false,
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loading: true,
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thinking: false,
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thinkingText: '',
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thinkingCollapsed: false,
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streaming: true
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})
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messageList.value.push(aiMessage)
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// const threadId = '' //
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// console.log('token---', params.token, '参数---', params)
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try {
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const urlParams = new URLSearchParams<AgentParamsType>({
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...params,
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configParams: JSON.stringify(params.configParams)
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})
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const response = await fetch(`/api/ai-design/chat?${urlParams.toString()}`, {
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method: 'GET',
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signal: abort.signal
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})
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// 检查响应内容类型,判断是否为流式响应
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const contentType = response.headers.get('content-type') || ''
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const isStreamResponse =
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contentType.includes('text/event-stream') || contentType.includes('stream')
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if (!response.ok) {
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// 非流式错误响应,使用 text() 读取错误信息
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const errorText = await response.text()
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console.error('请求错误:', errorText)
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aiMessage.text = '发送失败,请重试'
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aiMessage.streaming = false
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aiMessage.loading = false
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return
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}
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// 不是流式响应,使用 text()读取错误信息
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if (!isStreamResponse) {
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const text = await response.text()
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try {
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const errorData = JSON.parse(text)
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console.error('非流式响应:', errorData)
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} catch (e) {
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console.error('非流式响应文本:', text)
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}
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aiMessage.text = '发送失败,请重试'
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aiMessage.streaming = false
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aiMessage.loading = false
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return
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}
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// 流式响应处理
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let contentBody = ''
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let buffer = ''
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const reader = response.body?.getReader()
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if (!reader) throw new Error('无法获取流读取器')
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const decoder = new TextDecoder()
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try {
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let flag = true
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while (flag) {
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const { done, value } = await reader.read()
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if (done) {
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console.log('传输结束 end---', contentBody)
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aiMessage.streaming = false
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aiMessage.loading = false
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flag = false
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break
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}
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buffer += decoder.decode(value, { stream: true })
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// 优先按空行拆分事件块(SSE标准)
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let events = buffer.split(/\n\n/)
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buffer = events.pop() // 保留不完整块
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for (let event of events) {
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if (!event.trim()) continue
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// 过滤掉 id: 等字段,只取 data:
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const dataLines = event
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.split(/\n/)
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.filter((line) => line.startsWith('data:'))
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.map((line) => line.replace(/^data:\s*/, '').trim())
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if (dataLines.length === 0) continue
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const jsonText = dataLines.join('\n')
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try {
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const jsonData = JSON.parse(jsonText)
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// 赋值 thread_id 和 checkpoint_id
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if (jsonData.thread_id) params.threadId = jsonData.thread_id
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if (jsonData.checkpoint_id) params.checkpointId = jsonData.checkpoint_id
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if (
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jsonData.content &&
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jsonData.content.length > 0 &&
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jsonData.type !== 'end'
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) {
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contentBody += jsonData.content
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aiMessage.text = contentBody
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}
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if (jsonData.type === 'end') {
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aiMessage.streaming = false
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aiMessage.loading = false
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flag = false
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break
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}
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} catch (e) {
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// 检查是否为纯文本 [DONE]
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if (jsonText.trim() === '[DONE]') {
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console.log('结束-----------------------')
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aiMessage.streaming = false
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aiMessage.loading = false
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flag = false
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break
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}
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// JSON 不完整:保留到下一次循环
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if (!jsonText.trim().endsWith('}')) {
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buffer = 'data: ' + jsonText // 重新放回缓存
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continue
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} else {
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console.warn('⚠️ JSON 格式错误,跳过:', jsonText)
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}
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}
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}
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}
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} catch (error) {
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console.error('流式传输错误:', error)
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aiMessage.text = '发送失败,请重试'
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aiMessage.streaming = false
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aiMessage.loading = false
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} finally {
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reader.releaseLock()
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}
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} catch (error) {
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console.error('fetch请求失败:', error)
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aiMessage.text = '发送失败,请重试'
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aiMessage.streaming = false
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aiMessage.loading = false
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}
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}
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</script>
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<style lang="less" scoped>
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.c-svg {
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width: initial;
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}
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.agent-container {
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// width: 39%;
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width: 63.4rem;
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background-color: #fff;
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border-radius: 2rem;
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box-shadow: 0px 15px 21px 0px #0000000d;
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.agent-header {
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height: 7.4rem;
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border-bottom: 0.1rem solid #c9c9c9;
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font-family: 'GeneralMedium';
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padding: 1.4rem 3.4rem 1.4rem 3.1rem;
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.agent-title {
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font-size: 1.8rem;
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margin-bottom: 0.6rem;
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}
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.agent-name {
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font-size: 1.4rem;
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}
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}
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.agent-body {
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padding: 3.2rem;
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overflow: hidden;
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row-gap: 2.4rem;
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.assist-input-wrapper {
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width: 100%;
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height: 14.4rem;
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min-height: 14.4rem !important;
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max-height: 14.4rem !important;
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}
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}
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.input-wrapper {
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height: 14.4rem;
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padding: 0 2rem 3rem;
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}
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}
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</style>
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