renjianbo
3483c6b3be
Previously the voice map referenced 10+ non-existent Edge TTS voice names (xiaohan, xiaochen, xiaoshuang, etc.), causing NoAudioReceived errors and fallback to browser default TTS. Now only maps to the 6 actually available Chinese voices (xiaoxiao, xiaoyi, yunxi, yunyang, yunjian, yunxia). Added voice speed adjustments and fixed --rate argument format for Windows. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1106 lines
49 KiB
Vue
1106 lines
49 KiB
Vue
<template>
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<MainLayout>
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<div class="page-header">
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<div class="page-header-left">
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<h3>{{ chatMode === 'single' ? (agent ? agent.name : 'AI Agent 对话') : '多 Agent 编排' }}</h3>
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</div>
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<div class="page-header-actions">
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<el-switch
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v-model="chatMode"
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active-value="orchestrate"
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inactive-value="single"
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active-text="编排"
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inactive-text="单 Agent"
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style="margin-right: 12px"
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/>
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<!-- 单 Agent 模式：选择 Agent -->
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<template v-if="chatMode === 'single'">
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<el-select v-model="currentAgentId" placeholder="选择 Agent" @change="switchAgent" style="width: 180px" clearable>
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<el-option v-for="a in agents" :key="a.id" :label="a.name" :value="a.id">
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<span>{{ a.name }}</span>
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</el-option>
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</el-select>
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<!-- Session selector -->
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<el-select
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v-model="currentSessionId"
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placeholder="对话记录"
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style="width: 200px"
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:disabled="!currentAgentId"
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@change="switchSession"
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clearable
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>
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<el-option label="+ 新对话" value="__new__">
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<span style="color: var(--el-color-primary); font-weight: 500">+ 新对话</span>
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</el-option>
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<el-option
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v-for="s in sessions"
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:key="s.session_id"
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:label="s.title || '未命名对话'"
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:value="s.session_id"
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>
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<div style="display:flex;flex-direction:column">
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<span class="session-option-title">{{ s.title || '未命名对话' }}</span>
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<span class="session-option-meta">{{ s.message_count }} 条消息 · {{ relativeTimeText(s.updated_at) }}</span>
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</div>
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</el-option>
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</el-select>
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</template>
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<!-- 编排模式：模式选择 + Agent 数 -->
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<template v-if="chatMode === 'orchestrate'">
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<el-select v-model="orchestrateMode" style="width: 140px">
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<el-option label="辩论模式" value="debate" />
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<el-option label="路由模式" value="route" />
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<el-option label="顺序模式" value="sequential" />
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<el-option label="流水线模式" value="pipeline" />
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</el-select>
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<el-button @click="showOrchestrateEditor = true" style="margin-left: 8px">
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配置 Agent ({{ orchestrateAgents.length }})
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</el-button>
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</template>
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<el-button @click="clearChat" :disabled="displayMessages.length === 0">清空</el-button>
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</div>
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</div>
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<div class="chat-messages" ref="messagesRef">
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<!-- Rich empty state -->
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<div v-if="displayMessages.length === 0 && !loading" class="chat-empty">
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<template v-if="chatMode === 'single' && agent">
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<el-avatar :size="56" icon="Promotion" style="background:var(--el-color-primary-light-5);margin-bottom:8px" />
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<h3 class="welcome-title">{{ agent.name }}</h3>
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<p v-if="agent.description" class="welcome-desc">{{ agent.description }}</p>
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<div class="welcome-tags">
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<el-tag size="small" type="info" v-if="agent.version">v{{ agent.version }}</el-tag>
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<el-tag size="small" :type="agent.status === 'published' ? 'success' : 'warning'">{{ agent.status === 'published' ? '已发布' : agent.status }}</el-tag>
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</div>
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<p class="hint">可以问我任何问题，或者试试下面的示例：</p>
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<div class="preset-questions">
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<div class="preset-q" v-for="(q, qi) in getPresetQuestions()" :key="qi" @click="sendPresetQuestion(q)">
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{{ q }}
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</div>
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</div>
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</template>
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<template v-else-if="chatMode === 'single'">
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<el-icon :size="48"><ChatLineSquare /></el-icon>
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<p>选择一个智能体开始对话</p>
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<p class="hint">从上方下拉框中选择已创建的 Agent</p>
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<div class="agent-quick-list" v-if="agents.length > 0">
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<el-button v-for="a in agents.slice(0, 6)" :key="a.id" size="small" @click="currentAgentId = a.id; switchAgent()" style="margin:4px">
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{{ a.name }}
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</el-button>
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</div>
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</template>
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<template v-else>
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<el-icon :size="48"><ChatLineSquare /></el-icon>
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<p>配置多个 Agent 后发送消息进行编排对话</p>
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<p class="hint">支持辩论、路由、顺序、流水线四种编排模式</p>
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</template>
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</div>
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<!-- Messages using shared ChatMessageBubble -->
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<ChatMessageBubble
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v-for="(msg, i) in displayMessages"
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:key="i"
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:role="msg.role"
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:content-html="renderMarkdown(msg.orchestrateResult?.final_answer || msg.content)"
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:timestamp="msg.timestamp"
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:status="msg.status"
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:iterations="msg.iterations"
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:tool-calls-made="msg.tool_calls_made"
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>
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<!-- Orchestrate result -->
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<template v-if="msg.orchestrateResult" #extra>
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<div class="orchestrate-result">
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<div class="orch-header">
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<el-tag size="small" type="info">{{ msg.orchestrateResult.mode }}</el-tag>
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<span class="orch-agent-count">{{ msg.orchestrateResult.steps.length }} 个 Agent</span>
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</div>
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<div class="orch-final">
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<div class="orch-section-title">最终回答</div>
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<div class="message-text" v-html="renderMarkdown(msg.orchestrateResult.final_answer)"></div>
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</div>
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<div class="orch-steps">
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<div
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v-for="(step, si) in msg.orchestrateResult.steps"
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:key="si"
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class="orch-step"
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:class="{ expanded: step._open }"
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>
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<div class="orch-step-header" @click="step._open = !step._open">
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<el-icon><CaretRight :style="{ transform: step._open ? 'rotate(90deg)' : '' }" /></el-icon>
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<el-tag size="small" :type="step.error ? 'danger' : 'success'" round>
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{{ step.agent_name }}
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</el-tag>
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<span class="orch-step-meta">
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{{ step.iterations_used }} 步 · {{ step.tool_calls_made }} 次工具
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</span>
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</div>
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<div v-show="step._open" class="orch-step-body">
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<div class="message-text" v-html="renderMarkdown(step.output)"></div>
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</div>
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</div>
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</div>
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</div>
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</template>
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<!-- Tool calls + thinking trace for non-orchestrate messages -->
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<template v-if="!msg.orchestrateResult" #extra>
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<div v-if="msg.tool_calls && msg.tool_calls.length > 0" class="tool-calls">
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<div class="tool-calls-header">
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<el-icon><Tools /></el-icon> 工具调用 ({{ msg.tool_calls.length }})
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</div>
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<div v-for="(tc, j) in msg.tool_calls" :key="j" class="tool-call-item">
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<span class="tool-name">{{ tc.function?.name || '?' }}</span>
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<el-tag size="small" type="info">{{ safeParseArgCount(tc.function?.arguments) }} 个参数</el-tag>
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</div>
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</div>
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<div v-if="msg.steps && msg.steps.length > 0" class="thinking-trace">
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<div class="trace-header" @click="toggleTrace(msg)">
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<el-icon><CaretRight :style="{ transform: msg._traceOpen ? 'rotate(90deg)' : '' }" /></el-icon>
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<span>思考链 ({{ msg.steps.length }} 步)</span>
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</div>
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<div v-show="msg._traceOpen" class="trace-steps">
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<div v-for="(step, si) in msg.steps" :key="si" class="trace-step" :class="'step-' + step.type">
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<div class="step-icon">
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<el-icon v-if="step.type === 'think'"><ChatDotSquare /></el-icon>
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<el-icon v-else-if="step.type === 'tool_result'"><Tools /></el-icon>
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<el-icon v-else><Select /></el-icon>
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</div>
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<div class="step-body">
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<div class="step-header">
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<span class="step-tag" :class="'tag-' + step.type">{{ {think:'思考',tool_result:'工具结果',final:'最终回答'}[step.type] || step.type }}</span>
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<span class="step-iter">#{{ step.iteration }}</span>
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<span v-if="step.tool_name" class="step-tool-name">{{ step.tool_name }}</span>
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</div>
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<div v-if="step.content" class="step-content" v-html="renderMarkdown(step.content)"></div>
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<div v-if="step.reasoning" class="step-reasoning">
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<div class="reasoning-header">推理过程</div>
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<div class="reasoning-text">{{ step.reasoning }}</div>
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</div>
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<div v-if="step.tool_input && Object.keys(step.tool_input).length" class="step-tool-input">
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<div class="reasoning-header">参数</div>
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<pre>{{ JSON.stringify(step.tool_input, null, 2) }}</pre>
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</div>
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<div v-if="step.tool_result" class="step-tool-result">
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<div class="reasoning-header">结果</div>
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<pre>{{ step.tool_result }}</pre>
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</div>
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</div>
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</div>
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</div>
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</div>
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</template>
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<!-- Actions slot -->
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<template #actions>
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<el-button v-if="msg.role === 'assistant' && msg.content" link size="small" @click="isSpeaking ? stopSpeak() : speakMessage(msg.orchestrateResult?.final_answer || msg.content)" :title="isSpeaking ? '停止朗读' : '朗读'">
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<el-icon><Headset v-if="!isSpeaking" /><VideoPause v-else /></el-icon>
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</el-button>
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<el-button v-if="msg.role === 'user'" link size="small" @click="editMessage(i)" title="编辑">
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<el-icon><Edit /></el-icon>
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</el-button>
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<el-button v-if="msg.role === 'assistant'" link size="small" @click="copyMessage(msg)" title="复制">
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<el-icon><DocumentCopy /></el-icon>
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</el-button>
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<el-button v-if="msg.status === 'error'" link type="danger" size="small" @click="retryMessage(i)" title="重试">
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<el-icon><Refresh /></el-icon>
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</el-button>
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<el-button link size="small" @click="deleteMessage(i)" title="删除">
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<el-icon style="color:var(--el-color-danger)"><Delete /></el-icon>
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</el-button>
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</template>
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</ChatMessageBubble>
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<div v-if="loading && !streamingActive" class="message assistant">
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<div class="message-avatar"><el-avatar :size="36" icon="Promotion" /></div>
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<div class="message-bubble">
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<div class="thinking"><span class="dot"></span><span class="dot"></span><span class="dot"></span></div>
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</div>
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</div>
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</div>
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<!-- Shared ChatInputArea -->
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<ChatInputArea
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ref="inputAreaRef"
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v-model="inputMessage"
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:loading="loading"
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:disabled="loading || (chatMode === 'single' && !currentAgentId)"
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:attachments="pendingAttachments"
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:drag-over="inputDragOver"
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:show-stop="loading"
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:is-listening="isListening"
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:voice-supported="voiceSupported"
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placeholder="输入你的问题... Enter 发送，Shift+Enter 换行 支持拖拽或粘贴图片/文件"
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@send="sendMessage"
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@stop="stopGeneration"
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@attach-file="handleAttachFile"
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@start-voice="startListening"
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@stop-voice="stopListening"
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@files-selected="onFilesSelected"
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@remove-attachment="removeAttachment"
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>
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<template #extraActions>
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<el-popover v-if="chatMode === 'single'" placement="top" :width="260" trigger="click">
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<template #reference>
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<el-button text size="small" title="对话设置"><el-icon :size="18"><Setting /></el-icon></el-button>
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</template>
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<div class="chat-settings-popover">
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<div style="margin-bottom:8px;font-size:13px;font-weight:500">模型</div>
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<el-select v-model="chatModel" size="small" style="width:100%">
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<el-option label="DeepSeek V4 Pro" value="deepseek-v4-pro" />
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<el-option label="DeepSeek V4 Flash" value="deepseek-v4-flash" />
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<el-option label="GPT-4o" value="gpt-4o" />
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<el-option label="GPT-4o Mini" value="gpt-4o-mini" />
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<el-option label="Claude Opus 4.6" value="claude-opus-4-6" />
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<el-option label="Claude Sonnet 4.6" value="claude-sonnet-4-6" />
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</el-select>
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<div style="margin:10px 0 4px;font-size:13px;font-weight:500">Temperature: {{ chatTemperature.toFixed(1) }}</div>
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<el-slider v-model="chatTemperature" :min="0" :max="2" :step="0.1" size="small" show-stops />
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<div style="margin:10px 0 4px;font-size:13px;font-weight:500">最大迭代</div>
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<el-input-number v-model="chatMaxIterations" :min="1" :max="50" size="small" style="width:100%" />
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<div style="margin:10px 0 4px;font-size:13px;font-weight:500">朗读语音</div>
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<el-select v-model="chatVoice" size="small" style="width:100%">
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<el-option-group label="── 教师女声 ──">
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<el-option label="晓晓老师 · 温柔教导" value="teacher1" />
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<el-option label="晓怡老师 · 活泼教学" value="teacher2" />
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</el-option-group>
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<el-option-group label="── 女声 ──">
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<el-option label="晓晓 · 温柔" value="xiaoxiao" />
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<el-option label="晓怡 · 活泼" value="xiaoyi" />
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<el-option label="晓辰 · 温和" value="xiaochen" />
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<el-option label="晓涵 · 知性" value="xiaohan" />
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</el-option-group>
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<el-option-group label="── 男声 ──">
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<el-option label="云希 · 阳光" value="yunxi" />
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<el-option label="云扬 · 专业" value="yunyang" />
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<el-option label="云健 · 激情" value="yunjian" />
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<el-option label="云夏 · 可爱" value="yunxia" />
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</el-option-group>
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</el-select>
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</div>
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</el-popover>
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</template>
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</ChatInputArea>
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<!-- 编排 Agent 编辑器 -->
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<el-dialog v-model="showOrchestrateEditor" title="编排 Agent 配置" width="700px" @closed="saveState">
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<div class="orch-editor">
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<div v-if="orchestrateMode === 'pipeline'" class="orch-mode-hint">
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<el-alert type="info" :closable="false" show-icon>
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<template #title>
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流水线模式：仅使用第一个 Agent 作为执行器，系统自动创建 Planner（规划）和 Reviewer（审查）角色
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</template>
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</el-alert>
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</div>
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<div v-for="(agt, i) in orchestrateAgents" :key="i" class="orch-agent-card">
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<div class="orch-agent-header">
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<span class="orch-agent-num">#{{ i + 1 }}</span>
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<el-input v-model="agt.name" placeholder="名称" style="width: 140px" size="small" />
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<el-input v-model="agt.id" placeholder="ID" style="width: 120px" size="small" />
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<el-button size="small" type="danger" link @click="orchestrateAgents.splice(i, 1)">删除</el-button>
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</div>
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<el-input v-model="agt.system_prompt" type="textarea" :rows="3" placeholder="System Prompt" size="small" />
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<div class="orch-agent-params">
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<el-select v-model="agt.model" size="small" style="width: 160px">
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<el-option label="DeepSeek V4 Flash" value="deepseek-v4-flash" />
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<el-option label="DeepSeek V4 Pro" value="deepseek-v4-pro" />
|
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<el-option label="GPT-4o Mini" value="gpt-4o-mini" />
|
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<el-option label="GPT-4o" value="gpt-4o" />
|
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</el-select>
|
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<el-input-number v-model="agt.temperature" :min="0" :max="2" :step="0.1" size="small" style="width: 110px" />
|
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<el-input-number v-model="agt.max_iterations" :min="1" :max="50" size="small" style="width: 110px" />
|
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</div>
|
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</div>
|
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<el-button @click="addOrchestrateAgent" style="width: 100%; margin-top: 8px">
|
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+ 添加 Agent
|
||
</el-button>
|
||
</div>
|
||
<template #footer>
|
||
<el-button @click="showOrchestrateEditor = false">关闭</el-button>
|
||
</template>
|
||
</el-dialog>
|
||
|
||
<!-- 工具审批对话框 -->
|
||
<el-dialog v-model="showApprovalDialog" title="工具执行审批" width="480px" :close-on-click-modal="false">
|
||
<div style="margin-bottom: 12px">
|
||
<el-tag type="warning" size="large">{{ approvalToolName }}</el-tag>
|
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<span style="margin-left: 8px; color: #666">需要人工审批才能执行</span>
|
||
</div>
|
||
<div v-if="Object.keys(approvalArgs).length > 0" style="background: #f5f7fa; padding: 12px; border-radius: 6px; max-height: 200px; overflow-y: auto">
|
||
<pre style="margin: 0; font-size: 13px; white-space: pre-wrap; word-break: break-all">{{ JSON.stringify(approvalArgs, null, 2) }}</pre>
|
||
</div>
|
||
<template #footer>
|
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<el-button @click="resolveApproval('denied')">拒绝</el-button>
|
||
<el-button @click="resolveApproval('skip')">跳过</el-button>
|
||
<el-button type="primary" @click="resolveApproval('approved')">批准执行</el-button>
|
||
</template>
|
||
</el-dialog>
|
||
</MainLayout>
|
||
</template>
|
||
|
||
<script setup lang="ts">
|
||
import { ref, computed, watch, onMounted, onUnmounted, nextTick } from 'vue'
|
||
import { useRoute } from 'vue-router'
|
||
import { ElMessage } from 'element-plus'
|
||
import { ChatLineSquare, UserFilled, Promotion, Tools, CaretRight, ChatDotSquare, Select, DocumentCopy, Refresh, VideoPause, Edit, Delete, Headset, Setting } from '@element-plus/icons-vue'
|
||
import MainLayout from '@/components/MainLayout.vue'
|
||
import ChatMessageBubble from '@/components/ChatMessageBubble.vue'
|
||
import ChatInputArea from '@/components/ChatInputArea.vue'
|
||
import api from '@/api'
|
||
import type { Agent } from '@/stores/agent'
|
||
import { useMarkdown } from '@/composables/useMarkdown'
|
||
import { useFileUpload } from '@/composables/useFileUpload'
|
||
import { useTTS } from '@/composables/useTTS'
|
||
import { useSpeechRecognition } from '@/composables/useSpeechRecognition'
|
||
|
||
// Shared composables
|
||
const { renderMarkdown, stripMarkdownForTTS } = useMarkdown()
|
||
const { pendingAttachments, fileInputRef, inputDragOver, uploadFiles, removeAttachment, clearAttachments, buildAttachmentContext, onDragLeave, onDrop, onFilesSelected, handleAttachFile } = useFileUpload()
|
||
const { isSpeaking, speak: ttsSpeak, stop: ttsStop } = useTTS()
|
||
const { isListening, transcript, supported: voiceSupported, start: voiceStart, stop: voiceStop } = useSpeechRecognition()
|
||
|
||
// TTS & Voice
|
||
interface AgentStep {
|
||
iteration: number; type: string; content: string
|
||
tool_name?: string; tool_input?: Record<string, any>; tool_result?: string; reasoning?: string
|
||
}
|
||
interface OrchestrateStep {
|
||
agent_id: string; agent_name: string; input: string; output: string
|
||
iterations_used: number; tool_calls_made: number; error?: string; _open?: boolean
|
||
}
|
||
interface OrchestrateResult {
|
||
mode: string; final_answer: string; steps: OrchestrateStep[]; agent_results: any[]
|
||
}
|
||
interface ChatMessage {
|
||
role: 'user' | 'assistant'; content: string; tool_calls?: any[]; timestamp: number
|
||
iterations?: number; tool_calls_made?: number; status?: string; steps?: AgentStep[]
|
||
_traceOpen?: boolean; orchestrateResult?: OrchestrateResult
|
||
}
|
||
|
||
interface OrchestrateAgentForm {
|
||
id: string; name: string; system_prompt: string; model: string
|
||
temperature: number; max_iterations: number; description: string
|
||
}
|
||
|
||
const STORAGE_KEY = 'agent_chat_state'
|
||
|
||
interface ChatState {
|
||
messages: Record<string, ChatMessage[]>
|
||
sessionId: Record<string, string>
|
||
currentAgentId: string
|
||
chatMode: 'single' | 'orchestrate'
|
||
orchestrateMode: string
|
||
orchestrateAgents: OrchestrateAgentForm[]
|
||
}
|
||
|
||
async function resolveApproval(decision: string) {
|
||
try {
|
||
await api.post(`/api/v1/approval/${approvalId.value}/resolve`, { decision })
|
||
} catch {
|
||
// 审批已超时或已处理，忽略
|
||
}
|
||
showApprovalDialog.value = false
|
||
approvalId.value = ''
|
||
approvalToolName.value = ''
|
||
approvalArgs.value = {}
|
||
}
|
||
|
||
function saveState() {
|
||
try {
|
||
const state: ChatState = {
|
||
messages: messages.value,
|
||
sessionId: sessionId.value,
|
||
currentAgentId: currentAgentId.value,
|
||
chatMode: chatMode.value,
|
||
orchestrateMode: orchestrateMode.value,
|
||
orchestrateAgents: orchestrateAgents.value,
|
||
_savedAt: Date.now(),
|
||
} as any
|
||
localStorage.setItem(STORAGE_KEY, JSON.stringify(state))
|
||
} catch { /* quota exceeded, ignore */ }
|
||
}
|
||
|
||
function loadState(): ChatState | null {
|
||
try {
|
||
const raw = localStorage.getItem(STORAGE_KEY)
|
||
if (!raw) return null
|
||
const parsed = JSON.parse(raw)
|
||
if (parsed._savedAt && Date.now() - parsed._savedAt > 24 * 3600 * 1000) {
|
||
localStorage.removeItem(STORAGE_KEY)
|
||
return null
|
||
}
|
||
if (Array.isArray(parsed.messages)) {
|
||
const oldSessionId = parsed.sessionId || ''
|
||
parsed.messages = { '__bare__': parsed.messages }
|
||
parsed.sessionId = { '__bare__': oldSessionId }
|
||
}
|
||
return parsed
|
||
} catch { return null }
|
||
}
|
||
|
||
const route = useRoute()
|
||
const agents = ref<Agent[]>([])
|
||
const currentAgentId = ref('')
|
||
const messages = ref<Record<string, ChatMessage[]>>({})
|
||
const inputMessage = ref('')
|
||
const loading = ref(false)
|
||
const streamingActive = ref(false)
|
||
const abortController = ref<AbortController | null>(null)
|
||
const inputAreaRef = ref<InstanceType<typeof ChatInputArea> | null>(null)
|
||
// 工具审批状态
|
||
const showApprovalDialog = ref(false)
|
||
const approvalId = ref('')
|
||
const approvalToolName = ref('')
|
||
const approvalArgs = ref<Record<string, any>>({})
|
||
const messagesRef = ref<HTMLElement | null>(null)
|
||
const isNearBottom = ref(true)
|
||
const sessionId = ref<Record<string, string>>({})
|
||
const agent = ref<Agent | null>(null)
|
||
|
||
// 会话历史
|
||
interface SessionInfo {
|
||
session_id: string; title?: string; last_message?: string
|
||
message_count: number; is_pinned: boolean
|
||
created_at?: string; updated_at?: string
|
||
}
|
||
const sessions = ref<SessionInfo[]>([])
|
||
const currentSessionId = ref('')
|
||
const sessionsLoading = ref(false)
|
||
|
||
// 对话设置
|
||
const chatModel = ref('deepseek-v4-pro')
|
||
const chatTemperature = ref(0.8)
|
||
const chatMaxIterations = ref(15)
|
||
const chatVoice = ref('teacher1')
|
||
|
||
const currentAgentKey = computed(() => {
|
||
if (chatMode.value === 'orchestrate') return '__orchestrate__'
|
||
return currentAgentId.value || '__bare__'
|
||
})
|
||
|
||
const displayMessages = computed(() => {
|
||
return messages.value[currentAgentKey.value] || []
|
||
})
|
||
|
||
// 编排模式
|
||
const chatMode = ref<'single' | 'orchestrate'>('single')
|
||
const orchestrateMode = ref('debate')
|
||
const showOrchestrateEditor = ref(false)
|
||
const orchestrateAgents = ref<OrchestrateAgentForm[]>([
|
||
{ id: 'agent-a', name: 'Agent A', system_prompt: '你是一个有用的AI助手。', model: 'deepseek-v4-flash', temperature: 0.7, max_iterations: 10, description: '' },
|
||
{ id: 'agent-b', name: 'Agent B', system_prompt: '你是一个专业的分析助手。', model: 'deepseek-v4-flash', temperature: 0.7, max_iterations: 10, description: '' },
|
||
])
|
||
|
||
function addOrchestrateAgent() {
|
||
const n = orchestrateAgents.value.length + 1
|
||
orchestrateAgents.value.push({
|
||
id: `agent-${String.fromCharCode(96 + n)}`,
|
||
name: `Agent ${String.fromCharCode(64 + n)}`,
|
||
system_prompt: '你是一个有用的AI助手。',
|
||
model: 'deepseek-v4-flash',
|
||
temperature: 0.7,
|
||
max_iterations: 10,
|
||
description: '',
|
||
})
|
||
saveState()
|
||
}
|
||
|
||
// 模式/配置变化时自动保存
|
||
watch(chatMode, saveState)
|
||
watch(orchestrateMode, saveState)
|
||
|
||
function handleScroll() {
|
||
if (!messagesRef.value) return
|
||
const el = messagesRef.value
|
||
const threshold = 60
|
||
isNearBottom.value = (el.scrollHeight - el.scrollTop - el.clientHeight) < threshold
|
||
}
|
||
|
||
onMounted(async () => {
|
||
await loadAgents()
|
||
|
||
const saved = loadState()
|
||
if (saved) {
|
||
messages.value = saved.messages
|
||
sessionId.value = saved.sessionId
|
||
chatMode.value = saved.chatMode
|
||
orchestrateMode.value = saved.orchestrateMode
|
||
orchestrateAgents.value = saved.orchestrateAgents
|
||
for (const arr of Object.values(messages.value)) {
|
||
arr.forEach(m => { if (m.steps?.length) m._traceOpen = false })
|
||
}
|
||
}
|
||
|
||
if (route.params.id) {
|
||
currentAgentId.value = route.params.id as string
|
||
await switchAgent()
|
||
} else if (saved?.currentAgentId) {
|
||
currentAgentId.value = saved.currentAgentId
|
||
await switchAgent()
|
||
}
|
||
|
||
nextTick(() => {
|
||
messagesRef.value?.addEventListener('scroll', handleScroll, { passive: true })
|
||
scrollToBottom()
|
||
})
|
||
})
|
||
|
||
onUnmounted(() => {
|
||
messagesRef.value?.removeEventListener('scroll', handleScroll)
|
||
})
|
||
|
||
async function loadAgents() {
|
||
try { const resp = await api.get('/api/v1/agents'); agents.value = resp.data || [] }
|
||
catch (e) { console.error('加载 Agent 列表失败:', e) }
|
||
}
|
||
|
||
async function switchAgent() {
|
||
if (!currentAgentId.value) { agent.value = null; currentSessionId.value = ''; sessions.value = []; saveState(); nextTick(scrollToBottom); return }
|
||
try {
|
||
const resp = await api.get(`/api/v1/agents/${currentAgentId.value}`)
|
||
agent.value = resp.data
|
||
await loadSessions()
|
||
saveState()
|
||
nextTick(scrollToBottom)
|
||
} catch {
|
||
ElMessage.error('加载 Agent 失败')
|
||
agent.value = null
|
||
}
|
||
}
|
||
|
||
async function loadSessions() {
|
||
if (!currentAgentId.value) return
|
||
sessionsLoading.value = true
|
||
try {
|
||
const resp = await api.get(`/api/v1/agent-chat/${currentAgentId.value}/sessions?limit=50`)
|
||
sessions.value = resp.data.sessions || []
|
||
} catch { /* 静默失败 */ }
|
||
finally { sessionsLoading.value = false }
|
||
}
|
||
|
||
async function switchSession(sid: string) {
|
||
if (sid === '__new__') {
|
||
newSession()
|
||
return
|
||
}
|
||
currentSessionId.value = sid
|
||
const key = currentAgentKey.value
|
||
sessionId.value[key] = sid
|
||
sessionsLoading.value = true
|
||
try {
|
||
const resp = await api.get(`/api/v1/agent-chat/${currentAgentId.value}/sessions/${sid}/messages?limit=200`)
|
||
const serverMessages = resp.data.messages || []
|
||
messages.value[key] = serverMessages.map((m: any) => ({
|
||
role: m.role === 'user' ? 'user' : 'assistant',
|
||
content: m.content || '',
|
||
timestamp: m.created_at ? new Date(m.created_at).getTime() : Date.now(),
|
||
tool_calls: m.tool_name ? [{ function: { name: m.tool_name, arguments: m.tool_input } }] : [],
|
||
}))
|
||
} catch {
|
||
ElMessage.warning('加载对话历史失败')
|
||
}
|
||
finally { sessionsLoading.value = false; saveState(); nextTick(scrollToBottom) }
|
||
}
|
||
|
||
function newSession() {
|
||
const key = currentAgentKey.value
|
||
messages.value[key] = []
|
||
sessionId.value[key] = ''
|
||
currentSessionId.value = ''
|
||
saveState()
|
||
nextTick(scrollToBottom)
|
||
}
|
||
|
||
function getPresetQuestions(): string[] {
|
||
const name = agent.value?.name || ''
|
||
const desc = agent.value?.description || ''
|
||
const combined = `${name} ${desc}`.toLowerCase()
|
||
const questions: string[] = []
|
||
if (combined.includes('代码') || combined.includes('编程') || combined.includes('开发')) {
|
||
questions.push('帮我写一个 Python 脚本来处理 CSV 文件', '解释一下这段代码的作用和潜在问题', '如何设计一个 RESTful API 接口？')
|
||
} else if (combined.includes('写作') || combined.includes('文案') || combined.includes('文章')) {
|
||
questions.push('帮我写一篇关于 AI 发展的文章大纲', '润色这段文字，让它更加流畅易读', '给我几个吸引眼球的标题方案')
|
||
} else if (combined.includes('分析') || combined.includes('数据') || combined.includes('报告')) {
|
||
questions.push('分析这组数据的趋势和异常点', '帮我总结这份报告的核心要点', '对比 A 和 B 两个方案的优劣')
|
||
} else {
|
||
questions.push(`介绍一下你的能力和可以使用的工具`, '帮我分析一个复杂问题', '搜索并整理最新的相关信息')
|
||
}
|
||
return questions
|
||
}
|
||
|
||
function sendPresetQuestion(q: string) {
|
||
inputMessage.value = q
|
||
nextTick(() => sendMessage())
|
||
}
|
||
|
||
function speakMessage(text: string) {
|
||
if (!text) return
|
||
ttsSpeak(stripMarkdownForTTS(text), { voice: chatVoice.value })
|
||
}
|
||
function stopSpeak() {
|
||
ttsStop()
|
||
}
|
||
|
||
// Voice input
|
||
function startListening() {
|
||
voiceStart('zh-CN')
|
||
}
|
||
function stopListening() {
|
||
voiceStop()
|
||
if (transcript.value) {
|
||
inputMessage.value = (inputMessage.value + ' ' + transcript.value).trim()
|
||
transcript.value = ''
|
||
}
|
||
}
|
||
|
||
watch(transcript, (val) => {
|
||
if (val && isListening.value) { /* display during recording */ }
|
||
})
|
||
|
||
function relativeTimeText(isoStr?: string): string {
|
||
if (!isoStr) return ''
|
||
const diff = Date.now() - new Date(isoStr).getTime()
|
||
if (diff < 60000) return '刚刚'
|
||
if (diff < 3600000) return `${Math.floor(diff / 60000)} 分钟前`
|
||
if (diff < 86400000) return `${Math.floor(diff / 3600000)} 小时前`
|
||
return `${Math.floor(diff / 86400000)} 天前`
|
||
}
|
||
|
||
// onDragLeave handled by ChatInputArea + parent wiring
|
||
// The drag events from useFileUpload can be applied directly since ChatInputArea emits events
|
||
function onInputDragEnter(e: DragEvent) {
|
||
if (loading.value || (chatMode.value === 'single' && !currentAgentId.value)) return
|
||
e.preventDefault()
|
||
if (e.dataTransfer) e.dataTransfer.dropEffect = 'copy'
|
||
inputDragOver.value = true
|
||
}
|
||
|
||
async function onInputDrop(e: DragEvent) {
|
||
inputDragOver.value = false
|
||
if (chatMode.value === 'single' && !currentAgentId.value) {
|
||
ElMessage.warning('请先选择智能体再上传文件')
|
||
return
|
||
}
|
||
const files = e.dataTransfer?.files
|
||
if (files?.length) await uploadFiles(Array.from(files))
|
||
}
|
||
|
||
async function sendMessage() {
|
||
const text = inputMessage.value.trim()
|
||
const hasAttachments = pendingAttachments.value.length > 0
|
||
if (!text && !hasAttachments) return
|
||
if (loading.value) return
|
||
|
||
const attachCtx = buildAttachmentContext()
|
||
const fullText = text + attachCtx
|
||
|
||
const key = currentAgentKey.value
|
||
if (!messages.value[key]) messages.value[key] = []
|
||
messages.value[key].push({ role: 'user', content: fullText, timestamp: Date.now() })
|
||
inputMessage.value = ''
|
||
pendingAttachments.value = []
|
||
inputDragOver.value = false
|
||
loading.value = true
|
||
scrollToBottom()
|
||
|
||
try {
|
||
if (chatMode.value === 'orchestrate') {
|
||
const resp = await api.post('/api/v1/agent-chat/orchestrate', {
|
||
message: text,
|
||
mode: orchestrateMode.value,
|
||
agents: orchestrateAgents.value.map(a => ({
|
||
id: a.id, name: a.name, system_prompt: a.system_prompt,
|
||
model: a.model, temperature: a.temperature, max_iterations: a.max_iterations,
|
||
tools: [], description: a.description,
|
||
})),
|
||
})
|
||
const data = resp.data as OrchestrateResult
|
||
data.steps.forEach(s => { s._open = false })
|
||
messages.value[key].push({
|
||
role: 'assistant', content: data.final_answer, timestamp: Date.now(),
|
||
orchestrateResult: data, _traceOpen: true,
|
||
})
|
||
} else {
|
||
const sessId = sessionId.value[key] || ''
|
||
const streamEndpoint = currentAgentId.value
|
||
? `/api/v1/agent-chat/${currentAgentId.value}/stream`
|
||
: '/api/v1/agent-chat/bare/stream'
|
||
|
||
let usedStreaming = false
|
||
let placeholderIdx = -1
|
||
streamingActive.value = false
|
||
abortController.value = new AbortController()
|
||
const streamTimeout = setTimeout(() => abortController.value?.abort(), 300000)
|
||
|
||
try {
|
||
const token = localStorage.getItem('token') || ''
|
||
const resp = await fetch(streamEndpoint, {
|
||
method: 'POST',
|
||
headers: {
|
||
'Content-Type': 'application/json',
|
||
...(token ? { 'Authorization': `Bearer ${token}` } : {}),
|
||
},
|
||
body: JSON.stringify({
|
||
message: text,
|
||
session_id: sessId || undefined,
|
||
model: chatModel.value || undefined,
|
||
temperature: chatTemperature.value,
|
||
max_iterations: chatMaxIterations.value,
|
||
}),
|
||
signal: abortController.value.signal,
|
||
})
|
||
|
||
if (resp.ok && resp.body) {
|
||
usedStreaming = true
|
||
|
||
const msg: ChatMessage = {
|
||
role: 'assistant', content: '', timestamp: Date.now(),
|
||
steps: [], _traceOpen: true, iterations: 0, tool_calls_made: 0,
|
||
}
|
||
placeholderIdx = messages.value[key].push(msg) - 1
|
||
const currentMsg = messages.value[key][placeholderIdx]
|
||
|
||
const reader = resp.body.getReader()
|
||
const decoder = new TextDecoder()
|
||
let buffer = ''
|
||
let receivedFirstEvent = false
|
||
|
||
while (true) {
|
||
const { done, value } = await reader.read()
|
||
if (done) break
|
||
|
||
buffer += decoder.decode(value, { stream: true })
|
||
const parts = buffer.split('\n\n')
|
||
buffer = parts.pop() || ''
|
||
|
||
for (const part of parts) {
|
||
const lines = part.split('\n')
|
||
let eventType = ''
|
||
let dataStr = ''
|
||
for (const line of lines) {
|
||
if (line.startsWith('event: ')) eventType = line.slice(7)
|
||
else if (line.startsWith('data: ')) dataStr = line.slice(6)
|
||
}
|
||
if (!dataStr) continue
|
||
|
||
try {
|
||
const data = JSON.parse(dataStr)
|
||
|
||
if (!receivedFirstEvent) {
|
||
receivedFirstEvent = true
|
||
streamingActive.value = true
|
||
}
|
||
|
||
if (eventType === 'think') {
|
||
const thinkContent = data.content || '思考中...'
|
||
currentMsg.steps!.push({
|
||
iteration: data.iteration, type: 'think',
|
||
content: thinkContent,
|
||
reasoning: data.reasoning,
|
||
tool_name: data.tool_names?.[0],
|
||
})
|
||
} else if (eventType === 'tool_call') {
|
||
currentMsg.steps!.push({
|
||
iteration: data.iteration, type: 'tool_call',
|
||
content: `调用工具: ${data.name}`,
|
||
tool_name: data.name,
|
||
tool_input: data.input,
|
||
})
|
||
} else if (eventType === 'tool_result') {
|
||
currentMsg.steps!.push({
|
||
iteration: data.iteration, type: 'tool_result',
|
||
content: `工具 ${data.name} 返回结果`,
|
||
tool_name: data.name,
|
||
tool_result: data.result,
|
||
})
|
||
} else if (eventType === 'approval_required') {
|
||
approvalId.value = data.approval_id || ''
|
||
approvalToolName.value = data.tool_name || ''
|
||
approvalArgs.value = data.args || {}
|
||
showApprovalDialog.value = true
|
||
} else if (eventType === 'final') {
|
||
clearTimeout(streamTimeout)
|
||
currentMsg.content = data.content || ''
|
||
currentMsg.iterations = data.iterations_used || 0
|
||
currentMsg.tool_calls_made = data.tool_calls_made || 0
|
||
if (data.session_id) {
|
||
sessionId.value[key] = data.session_id
|
||
if (!currentSessionId.value) {
|
||
currentSessionId.value = data.session_id
|
||
loadSessions()
|
||
}
|
||
}
|
||
streamingActive.value = false
|
||
loading.value = false
|
||
} else if (eventType === 'error') {
|
||
clearTimeout(streamTimeout)
|
||
currentMsg.content = data.content || ''
|
||
currentMsg.status = 'error'
|
||
streamingActive.value = false
|
||
loading.value = false
|
||
} else {
|
||
console.warn('[AgentChat] 未知 SSE 事件类型:', eventType, data)
|
||
}
|
||
} catch { /* 跳过畸形事件 */ }
|
||
}
|
||
}
|
||
clearTimeout(streamTimeout)
|
||
}
|
||
} catch {
|
||
clearTimeout(streamTimeout)
|
||
usedStreaming = false
|
||
streamingActive.value = false
|
||
}
|
||
|
||
if (!usedStreaming) {
|
||
if (placeholderIdx >= 0 && placeholderIdx < messages.value[key].length) {
|
||
messages.value[key].splice(placeholderIdx, 1)
|
||
}
|
||
|
||
const fallbackEndpoint = currentAgentId.value
|
||
? `/api/v1/agent-chat/${currentAgentId.value}`
|
||
: '/api/v1/agent-chat/bare'
|
||
const resp = await api.post(fallbackEndpoint, {
|
||
message: text,
|
||
session_id: sessId || undefined,
|
||
model: chatModel.value || undefined,
|
||
temperature: chatTemperature.value,
|
||
max_iterations: chatMaxIterations.value,
|
||
})
|
||
const data = resp.data
|
||
sessionId.value[key] = data.session_id
|
||
if (!currentSessionId.value) {
|
||
currentSessionId.value = data.session_id
|
||
loadSessions()
|
||
}
|
||
messages.value[key].push({
|
||
role: 'assistant', content: data.content, timestamp: Date.now(),
|
||
iterations: data.iterations_used, tool_calls_made: data.tool_calls_made,
|
||
status: data.truncated ? 'error' : 'success', steps: data.steps || [],
|
||
_traceOpen: data.steps && data.steps.length > 0,
|
||
})
|
||
}
|
||
}
|
||
saveState()
|
||
} catch (e: any) {
|
||
messages.value[key].push({
|
||
role: 'assistant', content: `错误：${e.response?.data?.detail || e.message || '请求失败'}`,
|
||
timestamp: Date.now(), status: 'error',
|
||
})
|
||
saveState()
|
||
} finally {
|
||
loading.value = false; scrollToBottom()
|
||
}
|
||
}
|
||
|
||
function toggleTrace(msg: ChatMessage) { msg._traceOpen = !msg._traceOpen }
|
||
function clearChat() {
|
||
const key = currentAgentKey.value
|
||
messages.value[key] = []
|
||
if (chatMode.value === 'single') {
|
||
sessionId.value[key] = ''
|
||
currentSessionId.value = ''
|
||
}
|
||
saveState()
|
||
nextTick(scrollToBottom)
|
||
}
|
||
function scrollToBottom() { nextTick(() => { if (messagesRef.value && isNearBottom.value) messagesRef.value.scrollTop = messagesRef.value.scrollHeight }) }
|
||
function stopGeneration() {
|
||
abortController.value?.abort()
|
||
loading.value = false
|
||
streamingActive.value = false
|
||
saveState()
|
||
}
|
||
|
||
function safeParseArgCount(args?: string): number {
|
||
if (!args) return 0
|
||
try { return Object.keys(JSON.parse(args)).length }
|
||
catch { return 0 }
|
||
}
|
||
|
||
function relativeTime(ts: number): string {
|
||
const diff = Date.now() - ts
|
||
if (diff < 60000) return '刚刚'
|
||
if (diff < 3600000) return `${Math.floor(diff / 60000)} 分钟前`
|
||
if (diff < 86400000) return `${Math.floor(diff / 3600000)} 小时前`
|
||
const d = new Date(ts)
|
||
return `${d.getMonth() + 1}月${d.getDate()}日 ${d.getHours().toString().padStart(2, '0')}:${d.getMinutes().toString().padStart(2, '0')}`
|
||
}
|
||
|
||
function editMessage(idx: number) {
|
||
const key = currentAgentKey.value
|
||
const msgs = messages.value[key]
|
||
if (!msgs || !msgs[idx]) return
|
||
const msg = msgs[idx]
|
||
if (msg.role !== 'user') return
|
||
inputMessage.value = msg.content
|
||
msgs.splice(idx, 1)
|
||
saveState()
|
||
nextTick(scrollToBottom)
|
||
}
|
||
|
||
function deleteMessage(idx: number) {
|
||
const key = currentAgentKey.value
|
||
const msgs = messages.value[key]
|
||
if (!msgs || !msgs[idx]) return
|
||
msgs.splice(idx, 1)
|
||
saveState()
|
||
nextTick(scrollToBottom)
|
||
}
|
||
|
||
function copyMessage(msg: ChatMessage) {
|
||
const text = msg.orchestrateResult?.final_answer || msg.content
|
||
if (!text) return
|
||
navigator.clipboard.writeText(text).then(() => {
|
||
ElMessage.success('已复制')
|
||
}).catch(() => {
|
||
ElMessage.warning('复制失败')
|
||
})
|
||
}
|
||
|
||
function retryMessage(idx: number) {
|
||
const key = currentAgentKey.value
|
||
const msgs = messages.value[key]
|
||
if (!msgs) return
|
||
|
||
let userMsg = ''
|
||
let userIdx = -1
|
||
for (let i = idx - 1; i >= 0; i--) {
|
||
if (msgs[i].role === 'user') {
|
||
userMsg = msgs[i].content
|
||
userIdx = i
|
||
break
|
||
}
|
||
}
|
||
if (!userMsg) {
|
||
ElMessage.warning('未找到可重试的消息')
|
||
return
|
||
}
|
||
|
||
const removeIndices: number[] = [userIdx, idx]
|
||
for (let i = userIdx + 1; i < idx; i++) {
|
||
const m = msgs[i]
|
||
if (m.role === 'assistant' && (!m.content || m.content === '') && (m.steps?.length || 0) > 0) {
|
||
removeIndices.push(i)
|
||
}
|
||
}
|
||
|
||
removeIndices.sort((a, b) => b - a)
|
||
for (const ri of removeIndices) {
|
||
msgs.splice(ri, 1)
|
||
}
|
||
|
||
saveState()
|
||
inputMessage.value = userMsg
|
||
nextTick(() => sendMessage())
|
||
}
|
||
</script>
|
||
|
||
<style scoped>
|
||
.agent-chat-page { display: flex; flex-direction: column; height: 100%; max-width: 960px; margin: 0 auto; }
|
||
.page-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 12px; padding-bottom: 12px; border-bottom: 1px solid var(--el-border-color-light); }
|
||
.page-header-left { display: flex; align-items: center; gap: 8px; }
|
||
.page-header-left h3 { margin: 0; font-size: 16px; font-weight: 600; }
|
||
.page-header-actions { display: flex; gap: 8px; align-items: center; flex-wrap: wrap; }
|
||
.chat-messages { flex: 1; overflow-y: auto; padding: 8px 0; display: flex; flex-direction: column; gap: 12px; min-height: 0; }
|
||
.chat-empty { display: flex; flex-direction: column; align-items: center; justify-content: center; height: 100%; color: var(--el-text-color-secondary); gap: 12px; padding: 40px 20px; text-align: center; }
|
||
.chat-empty .hint { font-size: 13px; color: var(--el-text-color-placeholder); margin-top: 8px; }
|
||
.welcome-title { margin: 0; font-size: 18px; font-weight: 600; color: var(--el-text-color-primary); }
|
||
.welcome-desc { margin: 0; font-size: 14px; color: var(--el-text-color-secondary); max-width: 480px; line-height: 1.6; }
|
||
.welcome-tags { display: flex; gap: 6px; }
|
||
.preset-questions { display: flex; flex-wrap: wrap; gap: 8px; justify-content: center; max-width: 520px; margin-top: 4px; }
|
||
.preset-q { padding: 8px 16px; background: var(--el-fill-color); border: 1px solid var(--el-border-color-light); border-radius: 20px; font-size: 13px; cursor: pointer; transition: all 0.15s; color: var(--el-text-color-regular); }
|
||
.preset-q:hover { background: var(--el-color-primary-light-9); border-color: var(--el-color-primary-light-5); color: var(--el-color-primary); }
|
||
.agent-quick-list { display: flex; flex-wrap: wrap; gap: 4px; justify-content: center; max-width: 480px; }
|
||
|
||
/* Chat settings popover */
|
||
.chat-settings-popover { padding: 4px 0; }
|
||
.message { display: flex; gap: 12px; max-width: 88%; }
|
||
.message.user { align-self: flex-end; flex-direction: row-reverse; }
|
||
.message.assistant { align-self: flex-start; }
|
||
.message-bubble { padding: 10px 14px; border-radius: 12px; background: var(--el-fill-color-light); line-height: 1.6; font-size: 14px; }
|
||
.message.user .message-bubble { background: var(--el-color-primary-light-8); }
|
||
.message.error .message-bubble { border: 1px solid var(--el-color-danger-light-5); }
|
||
.message-text :deep(pre) { background: #1e1e2e; color: #cdd6f4; padding: 14px; border-radius: 8px; overflow-x: auto; font-size: 13px; line-height: 1.55; margin: 8px 0; }
|
||
.message-text :deep(pre code) { background: none; padding: 0; border-radius: 0; font-size: inherit; color: inherit; }
|
||
.message-text :deep(code) { background: var(--el-fill-color-darker); padding: 2px 6px; border-radius: 4px; font-size: 13px; font-family: 'Cascadia Code', 'Fira Code', 'JetBrains Mono', monospace; }
|
||
.message-text :deep(h1) { font-size: 1.4em; font-weight: 700; margin: 12px 0 6px; }
|
||
.message-text :deep(h2) { font-size: 1.2em; font-weight: 700; margin: 10px 0 4px; }
|
||
.message-text :deep(h3) { font-size: 1.1em; font-weight: 600; margin: 8px 0 4px; }
|
||
.message-text :deep(ul), .message-text :deep(ol) { padding-left: 20px; margin: 4px 0; }
|
||
.message-text :deep(li) { margin: 2px 0; }
|
||
.message-text :deep(blockquote) { border-left: 3px solid var(--el-color-primary); margin: 8px 0; padding: 4px 12px; color: var(--el-text-color-secondary); background: var(--el-fill-color-lighter); border-radius: 0 6px 6px 0; }
|
||
.message-text :deep(table) { border-collapse: collapse; width: 100%; margin: 8px 0; font-size: 13px; }
|
||
.message-text :deep(th), .message-text :deep(td) { border: 1px solid var(--el-border-color); padding: 6px 10px; text-align: left; }
|
||
.message-text :deep(th) { background: var(--el-fill-color); font-weight: 600; }
|
||
.message-text :deep(a) { color: var(--el-color-primary); text-decoration: underline; }
|
||
.message-text :deep(hr) { border: none; border-top: 1px solid var(--el-border-color-light); margin: 12px 0; }
|
||
.message-text :deep(p) { margin: 4px 0; }
|
||
.message-text :deep(img) { max-width: 100%; border-radius: 8px; margin: 6px 0; }
|
||
|
||
/* Tool calls */
|
||
.tool-calls { margin-top: 8px; padding-top: 8px; border-top: 1px dashed var(--el-border-color-light); }
|
||
.tool-calls-header { display: flex; align-items: center; gap: 4px; font-size: 12px; color: var(--el-text-color-secondary); margin-bottom: 4px; }
|
||
.tool-call-item { display: flex; align-items: center; gap: 8px; padding: 4px 8px; font-size: 12px; }
|
||
.tool-name { font-weight: 500; color: var(--el-color-primary); }
|
||
|
||
/* Thinking trace */
|
||
.thinking-trace { margin-top: 10px; border-top: 1px solid var(--el-border-color-light); padding-top: 8px; }
|
||
.trace-header { display: flex; align-items: center; gap: 4px; cursor: pointer; font-size: 12px; color: var(--el-color-primary); user-select: none; padding: 4px 0; }
|
||
.trace-steps { display: flex; flex-direction: column; gap: 6px; margin-top: 8px; }
|
||
.trace-step { display: flex; gap: 8px; padding: 8px 10px; border-radius: 8px; background: var(--el-fill-color-lighter); border-left: 3px solid var(--el-border-color); }
|
||
.trace-step.step-think { border-left-color: var(--el-color-primary); }
|
||
.trace-step.step-tool_result { border-left-color: var(--el-color-warning); }
|
||
.trace-step.step-final { border-left-color: var(--el-color-success); }
|
||
.step-icon { flex-shrink: 0; width: 24px; height: 24px; display: flex; align-items: center; justify-content: center; font-size: 14px; color: var(--el-text-color-secondary); }
|
||
.step-body { flex: 1; min-width: 0; font-size: 13px; }
|
||
.step-header { display: flex; align-items: center; gap: 6px; margin-bottom: 4px; }
|
||
.step-tag { font-size: 11px; padding: 1px 6px; border-radius: 4px; font-weight: 500; }
|
||
.tag-think { background: var(--el-color-primary-light-9); color: var(--el-color-primary); }
|
||
.tag-tool_result { background: var(--el-color-warning-light-9); color: var(--el-color-warning); }
|
||
.tag-final { background: var(--el-color-success-light-9); color: var(--el-color-success); }
|
||
.step-iter { font-size: 11px; color: var(--el-text-color-placeholder); }
|
||
.step-tool-name { font-size: 11px; background: var(--el-color-info-light-9); color: var(--el-color-info); padding: 0 6px; border-radius: 4px; font-family: monospace; }
|
||
.step-content { line-height: 1.5; }
|
||
.step-content :deep(pre) { background: var(--el-fill-color); padding: 8px; border-radius: 6px; overflow-x: auto; font-size: 12px; margin: 4px 0; }
|
||
.step-reasoning, .step-tool-input, .step-tool-result { margin-top: 6px; }
|
||
.reasoning-header { font-size: 11px; color: var(--el-text-color-secondary); margin-bottom: 2px; font-weight: 500; }
|
||
.reasoning-text { font-size: 12px; color: var(--el-text-color-secondary); line-height: 1.5; font-style: italic; }
|
||
.step-tool-input pre, .step-tool-result pre { background: var(--el-fill-color-darker); padding: 6px 8px; border-radius: 4px; font-size: 11px; overflow-x: auto; max-height: 200px; margin: 0; }
|
||
|
||
/* Thinking dots */
|
||
.thinking { display: flex; gap: 4px; padding: 8px 0; }
|
||
.dot { width: 8px; height: 8px; background: var(--el-text-color-placeholder); border-radius: 50%; animation: bounce 1.4s infinite ease-in-out; }
|
||
.dot:nth-child(2) { animation-delay: 0.16s; }
|
||
.dot:nth-child(3) { animation-delay: 0.32s; }
|
||
@keyframes bounce { 0%,80%,100% { transform: scale(0); } 40% { transform: scale(1); } }
|
||
|
||
/* Session selector */
|
||
.session-option-title { font-size: 13px; line-height: 1.4; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; max-width: 260px; }
|
||
.session-option-meta { font-size: 11px; color: var(--el-text-color-placeholder); }
|
||
|
||
/* Orchestrate result */
|
||
.orchestrate-result { font-size: 14px; }
|
||
.orch-header { display: flex; align-items: center; gap: 8px; margin-bottom: 8px; }
|
||
.orch-agent-count { font-size: 12px; color: var(--el-text-color-secondary); }
|
||
.orch-final { margin-bottom: 12px; }
|
||
.orch-section-title { font-size: 13px; font-weight: 600; color: var(--el-text-color-primary); margin-bottom: 6px; padding-bottom: 4px; border-bottom: 1px solid var(--el-border-color-light); }
|
||
.orch-steps { display: flex; flex-direction: column; gap: 4px; }
|
||
.orch-step { border: 1px solid var(--el-border-color-lighter); border-radius: 8px; overflow: hidden; }
|
||
.orch-step-header { display: flex; align-items: center; gap: 6px; padding: 6px 10px; cursor: pointer; background: var(--el-fill-color-lighter); font-size: 13px; }
|
||
.orch-step-header:hover { background: var(--el-fill-color-light); }
|
||
.orch-step-meta { font-size: 11px; color: var(--el-text-color-placeholder); margin-left: auto; }
|
||
.orch-step-body { padding: 8px 12px; font-size: 13px; background: var(--el-bg-color); }
|
||
|
||
/* Orchestrate editor */
|
||
.orch-editor { display: flex; flex-direction: column; gap: 12px; max-height: 500px; overflow-y: auto; }
|
||
.orch-agent-card { border: 1px solid var(--el-border-color-light); border-radius: 8px; padding: 12px; }
|
||
.orch-agent-header { display: flex; align-items: center; gap: 8px; margin-bottom: 8px; }
|
||
.orch-agent-num { font-weight: 600; color: var(--el-color-primary); font-size: 14px; }
|
||
.orch-agent-params { display: flex; gap: 8px; margin-top: 8px; flex-wrap: wrap; }
|
||
</style>
|