Version: 0.9.25.dev.260417

后端：
1. AIHub 模型分级从 Worker/Strategist 两级重构为 Lite/Pro/Max 三级
- AIHub 结构体从 Worker + Strategist 改为 Lite + Pro + Max，分别对应轻量（标题生成）、标准（Chat 路由/闲聊/交付总结）、高能力（Plan 规划/Execute ReAct）三个能力层级
- config.example.yaml 新增 liteModel / proModel / maxModel 三个模型配置项，替代原 workerModel / strategistModel
- 启动层 InitEino 改为创建三个独立模型实例，抽取公共 baseURL 和 apiKey 减少重复
- pickChatModel 统一返回 Pro 模型，旧 strategist 参数不再生效；pickTitleModel 从 Worker 切到 Lite
- runNewAgentGraph 按 Plan/Execute→Max、Chat/Deliver→Pro 分级注入；Graph 出错回退也切到 Pro
- Memory 模块初始化从 Worker 改为 Pro
2. Plan 节点从"两阶段评估"简化为"单轮深度规划"，thinking 开关改为全配置化
- 移除 Phase 1（快速评估 1600 token）+ Phase 2（深度规划 3200 token）的两轮调用逻辑，改为单轮不限 token 深度规划
- PlanDecision 移除 need_thinking 字段，prompt 规则和 JSON contract 同步删除该字段
- 各节点（Plan / Execute / Deliver）thinking 开关从硬编码改为从 AgentGraphDeps 读取，由 config.yaml 的 agent.thinking 段按节点注入
- 新增 agent.thinking 配置段（plan / execute / deliver / memory 四个独立布尔开关），config.example.yaml 补齐默认值
- 新增 resolveThinkingMode 公共函数，plan / execute / deliver 和 memory 决策/抽取链路统一使用
3. Memory 模块 LLM 调用支持 thinking 开关
- Config 新增 LLMThinking 字段，config_loader 从 agent.thinking.memory 读取
- LLMDecisionOrchestrator.Compare 和 LLMWriteOrchestrator.ExtractFacts 的 thinking 模式从硬编码 Disabled 改为读取配置
前端：
1. 移除助手输入区模型选择器及全部偏好持久化逻辑
- 删除 ModelType 类型、selectedModel ref、MODEL_PREFERENCE_STORAGE_KEY 常量
- 删除 isModelType / loadModelPreferenceMap / persistModelPreferenceMap / savePreferredModel / resolvePreferredModel / applyPreferredModelForConversation 六个函数及 modelPreferenceMap ref
- 删除 selectedModel watch 监听、发送消息时的 savePreferredModel 调用、切会话时的 applyPreferredModelForConversation 调用、会话迁移时的模型偏好迁移
- fetchChatStream 的 model 参数硬编码为 'worker'
- 删除模板中"模型"下拉选择器（标准/策略）及对应的全局样式 .assistant-model-select-panel
2. 上下文窗口指示器简化为仅显示总占用
- ContextWindowMeter 移除 msg0~msg3 四段彩色分段逻辑（ContextSegment 接口、segments computed、v-for 渲染）
- 进度条改为单一蓝色条，按 total/budget 比例填充；超预算时变红
- Tooltip 简化为仅显示"总计 X / 预算 Y（Z%）"

仓库：无

frontend/src/components/assistant/ContextWindowMeter.vue

@@ -3,14 +3,6 @@ import { computed } from 'vue'
 
 import type { ConversationContextStats } from '@/types/dashboard'
 
-interface ContextSegment {
-  key: 'msg0' | 'msg1' | 'msg2' | 'msg3'
-  label: string
-  value: number
-  widthPercent: number
-  color: string
-}
-
 const props = withDefaults(
   defineProps<{
     stats?: ConversationContextStats | null
@@ -33,6 +25,14 @@ const usagePercent = computed(() => {
   return Math.round((safeStats.value.total / safeStats.value.budget) * 100)
 })
 
+const barWidthPercent = computed(() => {
+  if (!safeStats.value || safeStats.value.budget <= 0) {
+    return 0
+  }
+  // 1. 按 total / budget 计算宽度，上限 100%（超预算时撑满进度条）。
+  return Math.min(100, (safeStats.value.total / safeStats.value.budget) * 100)
+})
+
 const isOverBudget = computed(() => {
   if (!safeStats.value) {
     return false
@@ -40,31 +40,6 @@ const isOverBudget = computed(() => {
   return safeStats.value.total > safeStats.value.budget
 })
 
-const segments = computed<ContextSegment[]>(() => {
-  const stats = safeStats.value
-  if (!stats) {
-    return []
-  }
-
-  // 1. 进度条固定做成紧凑胶囊，因此按 max(total, budget) 计算比例，既保留预算留白，也兼容超预算占满。
-  // 2. 四段颜色继续对应后端 msg0~msg3 的真实语义，避免前端为了视觉压缩而打乱统计含义。
-  // 3. 零值段不渲染，减少窄尺寸下的噪点，让小组件也能保留基本可读性。
-  const base = Math.max(stats.total, stats.budget, 1)
-  const rawSegments = [
-    { key: 'msg0', label: '规则', value: stats.msg0, color: 'linear-gradient(90deg, #2556c7, #3b82f6)' },
-    { key: 'msg1', label: '历史', value: stats.msg1, color: 'linear-gradient(90deg, #0f766e, #14b8a6)' },
-    { key: 'msg2', label: '执行', value: stats.msg2, color: 'linear-gradient(90deg, #b45309, #f59e0b)' },
-    { key: 'msg3', label: '当前', value: stats.msg3, color: 'linear-gradient(90deg, #15803d, #22c55e)' },
-  ] as const
-
-  return rawSegments
-    .filter((segment) => segment.value > 0)
-    .map((segment) => ({
-      ...segment,
-      widthPercent: Math.max(0, Math.min(100, (segment.value / base) * 100)),
-    }))
-})
-
 const usageText = computed(() => {
   if (props.loading) {
     return '...'
@@ -86,9 +61,7 @@ const tooltipText = computed(() => {
     return props.disabled ? '新会话发送首条消息后展示上下文窗口统计' : '当前会话暂无上下文窗口统计'
   }
 
-  const segmentText = segments.value.map((segment) => `${segment.label} ${segment.value}`).join(' / ')
-  const usageSummary = `总计 ${safeStats.value.total} / 预算 ${safeStats.value.budget}（${usagePercent.value}%）`
-  return segmentText ? `${usageSummary}；${segmentText}` : usageSummary
+  return `总计 ${safeStats.value.total} / 预算 ${safeStats.value.budget}（${usagePercent.value}%）`
 })
 </script>
 
@@ -106,18 +79,7 @@ const tooltipText = computed(() => {
 
     <div class="assistant-context-meter__track" aria-hidden="true">
       <div v-if="loading" class="assistant-context-meter__loading-bar" />
-
-      <template v-else>
-        <div
-          v-for="segment in segments"
-          :key="segment.key"
-          class="assistant-context-meter__segment"
-          :style="{
-            width: `${segment.widthPercent}%`,
-            background: segment.color,
-          }"
-        />
-      </template>
+      <div v-else-if="barWidthPercent > 0" class="assistant-context-meter__bar" :style="{ width: `${barWidthPercent}%` }" />
     </div>
 
     <span class="assistant-context-meter__value">{{ usageText }}</span>
@@ -195,7 +157,6 @@ const tooltipText = computed(() => {
   background:
     linear-gradient(180deg, rgba(232, 238, 246, 0.95), rgba(243, 247, 251, 0.95)),
     #edf2f7;
-  display: flex;
 }
 
 .assistant-context-meter--disabled .assistant-context-meter__track {
@@ -204,9 +165,15 @@ const tooltipText = computed(() => {
     #eef2f7;
 }
 
-.assistant-context-meter__segment {
+.assistant-context-meter__bar {
   height: 100%;
-  flex: 0 0 auto;
+  border-radius: inherit;
+  background: linear-gradient(90deg, #2556c7, #3b82f6);
+  transition: width 0.3s ease;
+}
+
+.assistant-context-meter--danger .assistant-context-meter__bar {
+  background: linear-gradient(90deg, #b42318, #ef4444);
 }
 
 .assistant-context-meter__loading-bar {

frontend/src/components/dashboard/AssistantPanel.vue

@@ -48,7 +48,6 @@ interface StreamEventPayload {
   error?: StreamErrorPayload
 }
 
-type ModelType = 'worker' | 'strategist'
 
 interface ConversationGroup {
   key: string
@@ -86,7 +85,7 @@ const conversationLoadingMore = ref(false)
 const chatLoading = ref(false)
 const historyExpanded = ref(true)
 const selectedConversationId = ref('')
-const selectedModel = ref<ModelType>('worker')
+
 const selectedThinkingMode = ref<ThinkingModeType>('auto')
 const messageInput = ref('')
 const historyPanelWidth = ref(props.initialHistoryWidth)
@@ -120,7 +119,7 @@ const quickActions = [
   '给我一个更稳妥的推进方案',
 ]
 
-const MODEL_PREFERENCE_STORAGE_KEY = 'smartflow.assistant.model.byConversation.v1'
+
 const DEFAULT_PLANNING_PROMPT = '请基于这些任务类帮我做一版智能编排。'
 
 let messageScrollRaf = 0
@@ -336,85 +335,6 @@ const contextStatsDisabled = computed(() => {
   return !selectedConversationId.value || isDraftConversationId(selectedConversationId.value)
 })
 
-function isModelType(value: unknown): value is ModelType {
-  return value === 'worker' || value === 'strategist'
-}
-
-function loadModelPreferenceMap() {
-  if (typeof window === 'undefined') {
-    return {} as Record<string, ModelType>
-  }
-
-  try {
-    const raw = window.localStorage.getItem(MODEL_PREFERENCE_STORAGE_KEY)
-    if (!raw) {
-      return {} as Record<string, ModelType>
-    }
-
-    const parsed = JSON.parse(raw) as unknown
-    const normalized: Record<string, ModelType> = {}
-    const entries = typeof parsed === 'object' && parsed ? Object.entries(parsed) : []
-
-    // 1. 只接收结构合法且值在白名单内的记录，避免脏数据把模型值污染为非法字符串。
-    // 2. 键为空字符串的记录直接丢弃，防止“新建会话未落库”场景写入无效索引。
-    // 3. 解析失败时回退为空对象，不阻塞聊天主流程。
-    for (const [conversationId, model] of entries) {
-      if (!conversationId || !isModelType(model)) {
-        continue
-      }
-      normalized[conversationId] = model
-    }
-
-    return normalized
-  } catch {
-    return {} as Record<string, ModelType>
-  }
-}
-
-const modelPreferenceMap = ref<Record<string, ModelType>>(loadModelPreferenceMap())
-
-function persistModelPreferenceMap() {
-  if (typeof window === 'undefined') {
-    return
-  }
-
-  try {
-    window.localStorage.setItem(MODEL_PREFERENCE_STORAGE_KEY, JSON.stringify(modelPreferenceMap.value))
-  } catch {
-    // 1. 本地存储失败只影响“记忆体验”，不影响消息收发主链路。
-    // 2. 这里静默处理，避免用户每次切模型都被错误提示打断。
-    // 3. 若用户清理缓存或隐私模式限制写入，后续会自动退化为会话内临时选择。
-  }
-}
-
-function savePreferredModel(conversationId: string, model: ModelType) {
-  if (!conversationId || modelPreferenceMap.value[conversationId] === model) {
-    return
-  }
-
-  modelPreferenceMap.value = {
-    ...modelPreferenceMap.value,
-    [conversationId]: model,
-  }
-  persistModelPreferenceMap()
-}
-
-function resolvePreferredModel(conversationId: string) {
-  if (!conversationId) {
-    return null
-  }
-
-  return modelPreferenceMap.value[conversationId] ?? null
-}
-
-function applyPreferredModelForConversation(conversationId: string) {
-  const preferredModel = resolvePreferredModel(conversationId)
-  if (!preferredModel || preferredModel === selectedModel.value) {
-    return
-  }
-
-  selectedModel.value = preferredModel
-}
 
 function ensureConversationBucket(conversationId: string) {
   if (!conversationMessagesMap[conversationId]) {
@@ -476,16 +396,6 @@ function migrateConversationState(fromConversationId: string, toConversationId:
     delete conversationMetaMap[fromConversationId]
   }
 
-  if (modelPreferenceMap.value[fromConversationId]) {
-    const migratedModelMap = { ...modelPreferenceMap.value }
-    if (!migratedModelMap[toConversationId]) {
-      migratedModelMap[toConversationId] = migratedModelMap[fromConversationId]!
-    }
-    delete migratedModelMap[fromConversationId]
-    modelPreferenceMap.value = migratedModelMap
-    persistModelPreferenceMap()
-  }
-
   const latestMap = new Map<string, ConversationListItem>()
   const deduplicated: ConversationListItem[] = []
   const seen = new Set<string>()
@@ -1299,7 +1209,6 @@ async function loadConversationContextStats(conversationId: string, forceReload
 async function selectConversation(conversationId: string) {
   cancelEditUserMessage()
   selectedConversationId.value = conversationId
-  applyPreferredModelForConversation(conversationId)
   await Promise.allSettled([
     loadConversationMessages(conversationId),
     ensureConversationMeta(conversationId),
@@ -1502,7 +1411,7 @@ async function streamAssistantReply(
   const response = await fetchChatStream({
     conversation_id: isDraftConversationId(draftConversationId) ? undefined : draftConversationId,
     message: text,
-    model: selectedModel.value,
+    model: 'worker',
     thinking: selectedThinkingMode.value,
     extra: requestExtra,
   })
@@ -1577,8 +1486,6 @@ async function sendMessage(preset?: string) {
   if (!selectedConversationId.value || shouldStartFreshPlanningConversation) {
     selectedConversationId.value = draftConversationId
   }
-  savePreferredModel(draftConversationId, selectedModel.value)
-
   ensureConversationBucket(draftConversationId)
   unavailableHistoryMap[draftConversationId] = false
 
@@ -1734,16 +1641,6 @@ watch(
   },
 )
 
-watch(
-  selectedModel,
-  (nextModel) => {
-    const conversationId = selectedConversationId.value
-    if (!conversationId) {
-      return
-    }
-    savePreferredModel(conversationId, nextModel)
-  },
-)
 
 onMounted(async () => {
   reasoningTicker = window.setInterval(() => {
@@ -2126,20 +2023,6 @@ onBeforeUnmount(() => {
                     </el-select>
                   </div>
 
-                  <div class="assistant-toolbar__pill assistant-toolbar__pill--select assistant-toolbar__pill--ds-model">
-                    <span class="assistant-toolbar__select-label">模型</span>
-                    <el-select
-                      v-model="selectedModel"
-                      class="assistant-toolbar__select-box"
-                      size="small"
-                      popper-class="assistant-model-select-panel"
-                      placement="top-start"
-                      :teleported="true"
-                    >
-                      <el-option value="worker" label="标准" />
-                      <el-option value="strategist" label="策略" />
-                    </el-select>
-                  </div>
 
                   <ContextWindowMeter
                     class="assistant-toolbar__context-meter"
@@ -3183,7 +3066,6 @@ onBeforeUnmount(() => {
   font-weight: 600;
 }
 
-.assistant-toolbar__pill--ds-model,
 .assistant-toolbar__pill--ds-thinking {
   height: 32px;
   padding: 0 8px 0 10px;
@@ -3200,10 +3082,6 @@ onBeforeUnmount(() => {
   min-width: 138px;
 }
 
-.assistant-toolbar__pill--ds-model {
-  min-width: 144px;
-}
-
 .assistant-toolbar__context-meter {
   width: 144px;
   min-width: 144px;
@@ -3435,30 +3313,5 @@ onBeforeUnmount(() => {
 }
 </style>
 <style>
-.assistant-model-select-panel.el-popper {
-  border-radius: 12px;
-  border: 1px solid rgba(15, 23, 42, 0.1);
-  box-shadow: 0 10px 28px rgba(15, 23, 42, 0.14);
-  padding: 6px;
-}
 
-.assistant-model-select-panel .el-select-dropdown__item {
-  height: 36px;
-  line-height: 36px;
-  border-radius: 8px;
-  padding: 0 12px;
-  color: #4d5d73;
-  font-size: 14px;
-  font-weight: 600;
-}
-
-.assistant-model-select-panel .el-select-dropdown__item.hover,
-.assistant-model-select-panel .el-select-dropdown__item:hover {
-  background: rgba(51, 95, 194, 0.1);
-}
-
-.assistant-model-select-panel .el-select-dropdown__item.is-selected {
-  color: #2f56b0;
-  background: rgba(51, 95, 194, 0.16);
-}
 </style>