diff --git a/crates/df-ai/src/router.rs b/crates/df-ai/src/router.rs
index f6aa16e..c3d9ae8 100644
--- a/crates/df-ai/src/router.rs
+++ b/crates/df-ai/src/router.rs
@@ -131,6 +131,22 @@ pub fn select_model_id(req: &TaskRequirements, pool: &[ModelConfig]) -> Option<S
     ModelRouter::select(req, pool).map(|m| m.model_id.clone())
 }
 
+/// 判断 model_id 是否为图像生成模型(文本任务不应使用)。
+/// 用于 select 返回 None 兜底 default_model 时的防御:避免标题/压缩等文本任务
+/// 误用图像模型(如 sensenova-u1-fast/dall-e)致 LLM 404 刷屏(治 default_model 配错为图像模型)。
+/// 判断:pool 有该模型 → 校验模态是否含 Text(最可靠);pool 无 → 名字启发式(已知图像模型模式)。
+pub fn is_likely_image_model(model_id: &str, pool: &[ModelConfig]) -> bool {
+    if let Some(m) = pool.iter().find(|m| m.model_id == model_id) {
+        return !m.modalities.contains(&Modality::Text);
+    }
+    let lower = model_id.to_lowercase();
+    const IMAGE_PATTERNS: &[&str] = &[
+        "dall-e", "gpt-image", "imagen", "flux", "stable-diffusion",
+        "sensenova-u1", "u1-fast", "midjourney", "sd-", "sdxl",
+    ];
+    IMAGE_PATTERNS.iter().any(|p| lower.contains(p))
+}
+
 #[cfg(test)]
 mod tests {
     use super::*;
diff --git a/src-tauri/src/commands/ai/compress.rs b/src-tauri/src/commands/ai/compress.rs
index d44397b..e38649a 100644
--- a/src-tauri/src/commands/ai/compress.rs
+++ b/src-tauri/src/commands/ai/compress.rs
@@ -14,7 +14,7 @@ use df_ai::provider::{ChatMessage, CompletionRequest, LlmProvider};
 // 摘要任务,选 Standard 智力保摘要质量;不传 tools(纯文本出,避免 LLM 调工具跑偏)。
 // 池空/无匹配兜底 default_model(与 title.rs 一致,行为可预期)。
 use df_ai::router::{
-    select_model_id, Modality, TaskRequirements,
+    is_likely_image_model, select_model_id, Modality, TaskRequirements,
 };
 use df_storage::models::AiProviderRecord;
 
@@ -81,6 +81,13 @@ pub(crate) async fn compress_via_llm(
     };
     let model = select_model_id(&compress_req, &provider_config.model_configs)
         .unwrap_or_else(|| provider_config.default_model.clone());
+    // 防御:选中/兜底模型是图像模型时返 Err(走关键词摘要兜底,避免文本任务 404 刷屏)。
+    if is_likely_image_model(&model, &provider_config.model_configs) {
+        return Err(format!(
+            "压缩模型 {} 是图像模型,文本任务不可用(检查 provider default_model 应为文本模型)",
+            model
+        ));
+    }
 
     // 四段式 system prompt + active 消息原文,喂 complete() 非流式出摘要。
     let mut prompt = vec![ChatMessage::system(compress_prompt(lang))];
diff --git a/src-tauri/src/commands/ai/knowledge_inject.rs b/src-tauri/src/commands/ai/knowledge_inject.rs
index 55ea199..2398907 100644
--- a/src-tauri/src/commands/ai/knowledge_inject.rs
+++ b/src-tauri/src/commands/ai/knowledge_inject.rs
@@ -10,7 +10,7 @@ use df_ai::provider::{ChatMessage, CompletionRequest, LlmProvider, MessageRole};
 // - 嵌入: TaskRequirements(Capability::Embedding,无工具)— 在 embedding provider 的池中选,
 //   池空兜底 config.embedding_model(行为不变,现有 KnowledgeConfig 配置即生效)。
 use df_ai::router::{
-    select_model_id, Modality, TaskRequirements,
+    is_likely_image_model, select_model_id, Modality, TaskRequirements,
 };
 use df_storage::crud::{AiConversationRepo, AiMessageRepo, KnowledgeRepo};
 use df_storage::db::Database;
@@ -682,6 +682,14 @@ async fn extract_knowledge_from_conversation(
     };
     let extract_model = select_model_id(&extract_req, &provider_config.model_configs)
         .unwrap_or_else(|| provider_config.default_model.clone());
+    // 防御:选中/兜底模型是图像模型时跳过 LLM 提取(避免文本任务 404 刷屏,治 default_model 配错为图像模型)。
+    if is_likely_image_model(&extract_model, &provider_config.model_configs) {
+        tracing::warn!(
+            "知识提取跳过:模型 {} 是图像模型,文本任务不可用(检查 provider default_model 应为文本模型)",
+            extract_model
+        );
+        return Ok(0);
+    }
     let request = CompletionRequest {
         model: extract_model,
         messages: extract_messages,
diff --git a/src-tauri/src/commands/ai/title.rs b/src-tauri/src/commands/ai/title.rs
index a8d1b0c..478f218 100644
--- a/src-tauri/src/commands/ai/title.rs
+++ b/src-tauri/src/commands/ai/title.rs
@@ -10,7 +10,7 @@ use df_ai::provider::{ChatMessage, CompletionRequest, LlmProvider, MessageRole};
 // 标题是短文本摘要任务;池空/无匹配兜底 default_model(行为不变)。
 // 注:路由已解耦(B-260618-03),原 Lite/Low 智力成本约束已删除,纯 weight 选模型。
 use df_ai::router::{
-    select_model_id, Modality, TaskRequirements,
+    is_likely_image_model, select_model_id, Modality, TaskRequirements,
 };
 use df_storage::crud::AiConversationRepo;
 use df_storage::db::Database;
@@ -112,6 +112,15 @@ pub(crate) async fn ensure_conversation_title(
     };
     let title_model = select_model_id(&title_req, &provider_config.model_configs)
         .unwrap_or_else(|| provider_config.default_model.clone());
+    // 防御:选中/兜底模型是图像模型时跳过 LLM(避免文本任务 404 刷屏,治 default_model 配错为图像模型)。
+    // 跳过则保留上方 extract_title 兜底,不锁定差标题。
+    if is_likely_image_model(&title_model, &provider_config.model_configs) {
+        tracing::warn!(
+            "标题 LLM 跳过:模型 {} 是图像模型,文本任务不可用(检查 provider default_model 应为文本模型)",
+            title_model
+        );
+        return;
+    }
     // B-260617-17: LLM 调用包 20s 超时,防信号量/网络挂起致后台 task 永久堆积;
     // 超时或返回 None 均保留上方已落的 extract 兜底,不覆盖。
     let title = match tokio::time::timeout(
diff --git a/src/components/ai/MessageList.vue b/src/components/ai/MessageList.vue
index f8eca98..cbbd74e 100644
--- a/src/components/ai/MessageList.vue
+++ b/src/components/ai/MessageList.vue
@@ -1080,6 +1080,7 @@ defineExpose({
   gap: 8px;
   align-items: flex-start;
   flex-direction: row-reverse; /* 头像在右：DOM 仍 avatar 在先，视觉反转成【气泡】【头像】靠右 */
+  margin-top: -3px; /* user 与上方消息间距略收(全局 gap 14 → 视觉 11),更紧凑 */
 }
 .ai-msg-ai {
   position: relative;
@@ -1087,6 +1088,9 @@ defineExpose({
   gap: 8px;
   align-items: flex-start;
 }
+/* token 详情 popover 展开时,提升本消息 z-index 盖住后续消息气泡
+   (后续 .ai-msg-user 也是 relative 同级 context,DOM 在后会遮挡 popover) */
+.ai-msg-ai:has(.ai-token-popover) { z-index: 30; }
 .ai-msg-content {
   flex: 1;
   min-width: 0;
diff --git a/src/views/ProjectDetail.vue b/src/views/ProjectDetail.vue
index fc4910c..e169bc6 100644
--- a/src/views/ProjectDetail.vue
+++ b/src/views/ProjectDetail.vue
@@ -295,8 +295,24 @@
           <h2>{{ $t('projectDetail.taskListTitle') }}</h2>
           <span class="task-count">{{ $t('projectDetail.taskCount', { n: projectTasks.length }) }}</span>
         </div>
+        <div class="task-filter-chips">
+          <button
+            v-for="s in taskStatusFilters"
+            :key="s.key"
+            class="filter-chip"
+            :class="{ 'is-active': activeTaskStatuses.length === 0 || activeTaskStatuses.includes(s.key) }"
+            @click="toggleTaskStatus(s.key)"
+          >
+            {{ s.icon }} {{ s.label }}
+          </button>
+        </div>
         <div class="task-list">
-          <div class="task-card" v-for="task in projectTasks" :key="task.id">
+          <div
+            class="task-card"
+            v-for="task in filteredProjectTasks"
+            :key="task.id"
+            @click="router.push('/tasks/' + task.id)"
+          >
             <div class="task-top">
               <span class="task-title">{{ task.title }}</span>
               <span class="task-status" :class="taskStatusClass(task.status)">{{ $t(taskStatusLabel(task.status)) }}</span>
@@ -572,6 +588,30 @@ async function loadProjectTasks() {
 }
 // taskStatusLabel / taskStatusClass 由 ../constants/project 提供
 
+// 任务状态多选过滤
+const taskStatusFilters = computed(() => [
+  { key: 'todo', icon: '📝', label: t('tasks.statusFilter.todo') },
+  { key: 'in_progress', icon: '🔨', label: t('tasks.statusFilter.in_progress') },
+  { key: 'in_review', icon: '👀', label: t('tasks.statusFilter.in_review') },
+  { key: 'testing', icon: '🧪', label: t('tasks.statusFilter.testing') },
+  { key: 'done', icon: '✅', label: t('tasks.statusFilter.done') },
+  { key: 'blocked', icon: '🚫', label: t('tasks.statusFilter.blocked') },
+  { key: 'cancelled', icon: '🗑️', label: t('tasks.statusFilter.cancelled') },
+])
+const activeTaskStatuses = ref<string[]>([])
+function toggleTaskStatus(key: string) {
+  const idx = activeTaskStatuses.value.indexOf(key)
+  if (idx >= 0) {
+    activeTaskStatuses.value.splice(idx, 1)
+  } else {
+    activeTaskStatuses.value.push(key)
+  }
+}
+const filteredProjectTasks = computed(() => {
+  if (activeTaskStatuses.value.length === 0) return projectTasks.value
+  return projectTasks.value.filter(t => activeTaskStatuses.value.includes(t.status))
+})
+
 // ── 工程列表(概览内 CRUD)──
 // 多工程(monorepo/多模块)在概览内增删改 + 扫描;复用 moduleApi + ConfirmDialog(删除确认)
 // + arco Message(反馈)。切到文件 Tab 时 FileExplorer 因 v-if 重挂载自动重拉,无需手动同步。
@@ -1330,6 +1370,36 @@ onUnmounted(() => {
 /* .panel / .panel-header 基础样式已收敛至全局 components.css(DRY 收口 B-260619),
    此处仅保留本组件特有 .task-count。 */
 .task-count { font-size: 12px; color: var(--df-text-dim); }
+.task-filter-chips {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 4px;
+  margin-bottom: 8px;
+}
+.task-filter-chips .filter-chip {
+  display: inline-flex;
+  align-items: center;
+  gap: 3px;
+  padding: 2px 8px;
+  border: 0.5px solid var(--df-border);
+  border-radius: 10px;
+  background: transparent;
+  color: var(--df-text-dim);
+  font-size: 10px;
+  cursor: pointer;
+  transition: all 0.15s;
+  white-space: nowrap;
+}
+.task-filter-chips .filter-chip:hover {
+  background: var(--df-bg-card);
+  color: var(--df-text);
+  border-color: var(--df-accent);
+}
+.task-filter-chips .filter-chip.is-active {
+  background: var(--df-accent-soft);
+  color: var(--df-accent);
+  border-color: var(--df-accent);
+}
 
 /* A2[PD-P1-3]:工作流日志「全局事件」标注(次要小字标签) */
 .global-event-tag {
@@ -1346,7 +1416,13 @@ onUnmounted(() => {
 .task-card {
   padding: 14px 0;
   border-bottom: 0.5px solid var(--df-border);
+  cursor: pointer;
+  transition: background 0.15s;
+  margin: 0 -12px;
+  padding: 10px 12px;
+  border-radius: var(--df-radius);
 }
+.task-card:hover { background: var(--df-bg-card-hover); }
 .task-card:last-child { border-bottom: none; }
 .task-top { display: flex; justify-content: space-between; align-items: center; margin-bottom: 6px; }
 .task-title { font-size: 14px; font-weight: 500; color: var(--df-text); white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
diff --git a/src/views/Tasks.vue b/src/views/Tasks.vue
index c9c2502..9520f8e 100644
--- a/src/views/Tasks.vue
+++ b/src/views/Tasks.vue
@@ -31,11 +31,17 @@
       </div>
       <div class="filter-group">
         <span class="filter-label">{{ $t('tasks.filter.status') }}</span>
-        <select v-model="activeStatus" class="filter-select">
-          <option v-for="s in statusFilters" :key="s.key" :value="s.key">
+        <div class="filter-chip-group">
+          <button
+            v-for="s in statusFilters"
+            :key="s.key"
+            class="filter-chip"
+            :class="{ 'is-active': activeStatuses.length === 0 || activeStatuses.includes(s.key) }"
+            @click="toggleStatus(s.key)"
+          >
             {{ s.icon }} {{ s.label }}
-          </option>
-        </select>
+          </button>
+        </div>
       </div>
       <div class="filter-group">
         <span class="filter-label">{{ $t('tasks.sort.label') }}</span>
@@ -311,7 +317,17 @@ const { toast, showToast } = useToast()
 // 列表筛选/分页状态持久化到 localStorage(key 前缀 'tasks.'),
 // 刷新页面后保留用户上次选择。collapsedGroups 单独走 df-tasks-collapsed(沿用既有实现)。
 const activeProject = usePersistedRef('tasks.activeProject', 'all')
-const activeStatus = usePersistedRef('tasks.activeStatus', 'all')
+const activeStatuses = usePersistedRef<string[]>('tasks.activeStatuses', [])
+
+// 状态多选切换
+function toggleStatus(key: string) {
+  const idx = activeStatuses.value.indexOf(key)
+  if (idx >= 0) {
+    activeStatuses.value.splice(idx, 1)
+  } else {
+    activeStatuses.value.push(key)
+  }
+}
 const sortBy = usePersistedRef('tasks.sortBy', 'updated_at')
 const searchKeyword = usePersistedRef('tasks.searchKeyword', '')
 const loading = ref(false)
@@ -526,8 +542,12 @@ function parentPct(row: TaskRow): number {
 
 const filteredGroups = computed(() => {
   // F-260805 D5:store.tasks 是一次性拉取的筛选全量,前端已组装树(taskRows),直接按项目分组
+  // 状态多选:未选(全)或选中状态匹配
+  const statusFilter = (row: TaskRow) =>
+    activeStatuses.value.length === 0 || activeStatuses.value.includes(row.task.status)
   const groupMap = new Map<string, TaskRow[]>()
   for (const row of taskRows.value) {
+    if (!statusFilter(row)) continue
     if (!groupMap.has(row.task.project_id)) {
       groupMap.set(row.task.project_id, [])
     }
@@ -548,11 +568,10 @@ const filteredGroups = computed(() => {
 
 function buildTaskQuery(): TaskQuery | undefined {
   const projAll = activeProject.value === 'all'
-  const statusAll = activeStatus.value === 'all'
   const kw = searchKeyword.value.trim()
   const query: TaskQuery = { order_by: sortBy.value }
   if (!projAll) query.project_id = activeProject.value
-  if (!statusAll) query.status = activeStatus.value
+  // 状态多选走前端过滤(后端 status 单值,不给后端传使全量拉取,前端 filteredGroups 过滤)
   if (kw) query.keyword = kw
   // F-260805 D5:一次拉当前筛选全量(limit 放大 500 钳制上限,offset 恒 0),
   // 树形需要完整父子关系,分页会割裂父/子;全量已在前端,父进度也前端计算
@@ -608,8 +627,8 @@ watch(activeProject, () => {
   store.loadTasks(buildTaskQuery()).finally(() => { loading.value = false })
 })
 
-watch(activeStatus, () => {
-  store.setActiveTaskStatus(activeStatus.value)
+watch(activeStatuses, () => {
+  store.setActiveTaskStatus(activeStatuses.value.length === 0 ? 'all' : activeStatuses.value.join(','))
   loading.value = true
   store.loadTasks(buildTaskQuery()).finally(() => { loading.value = false })
 })
@@ -632,7 +651,7 @@ function onKeydown(e: KeyboardEvent) {
 
 onMounted(async () => {
   store.setActiveTaskProject(activeProject.value)
-  store.setActiveTaskStatus(activeStatus.value)
+  store.setActiveTaskStatus(activeStatuses.value.length === 0 ? 'all' : activeStatuses.value.join(','))
   store.setActiveTaskKeyword(searchKeyword.value.trim() || undefined)
   loading.value = true
   try {
@@ -705,6 +724,35 @@ onUnmounted(() => {
   transition: border-color 0.15s;
 }
 .filter-select:hover { border-color: var(--df-accent); }
+.filter-chip-group {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 4px;
+}
+.filter-chip {
+  display: inline-flex;
+  align-items: center;
+  gap: 3px;
+  padding: 2px 8px;
+  border: 0.5px solid var(--df-border);
+  border-radius: 10px;
+  background: transparent;
+  color: var(--df-text-dim);
+  font-size: 11px;
+  cursor: pointer;
+  transition: all 0.15s;
+  white-space: nowrap;
+}
+.filter-chip:hover {
+  background: var(--df-bg-card);
+  color: var(--df-text);
+  border-color: var(--df-accent);
+}
+.filter-chip.is-active {
+  background: var(--df-accent-soft);
+  color: var(--df-accent);
+  border-color: var(--df-accent);
+}
 .filter-count {
   margin-left: auto;
   font-size: 12px;