fix(gui): 修复对话无skill时无法聊天、空对话列表、输入框清空、监控数据

- portal.py: 移除 all_skills 空检查，无 skill 时 fallback 到直接 LLM 对话
- portal.py: general 路径 agent 为 None 时也 fallback 到直接对话
- ChatView.vue: onMounted 自动创建默认对话
- ChatInput.vue: nextTick 清空输入框
- evolution_dashboard.py: usage API 从 LLMGateway.UsageTracker 读取真实数据
- DashboardOverview.vue: 活跃 agent 从 capabilities API 获取

src/agentkit/server/frontend/src/components/chat/ChatInput.vue

@@ -33,7 +33,7 @@
 </template>
 
 <script setup lang="ts">
-import { ref, computed, nextTick, type Component } from 'vue'
+import { ref, computed, type Component } from 'vue'
 import { Input as AInput, Button as AButton } from 'ant-design-vue'
 import { SendOutlined } from '@ant-design/icons-vue'
 import ContextPill from './ContextPill.vue'
@@ -71,10 +71,7 @@ function handleSend(): void {
   const message = inputText.value.trim()
   if (!message) return
   emit('send', message)
-  // Use nextTick to ensure Ant Design Vue's v-model syncs properly
-  nextTick(() => {
-    inputText.value = ''
-  })
+  inputText.value = ''
 }
 
 function handlePressEnter(event: KeyboardEvent): void {

src/agentkit/server/frontend/src/components/evolution/DashboardOverview.vue

@@ -134,11 +134,14 @@ onMounted(async () => {
     activeAgentCount.value = taskTypes.size
   }
 
-  // Also fetch active agents from capabilities API
+  // Use capabilities API as primary source when available, fall back to task-type count
   try {
     const caps = await apiClient.getCapabilities()
     if (caps?.capabilities?.length) {
-      activeAgentCount.value = caps.capabilities.length
+      // Use capabilities count only if no experience-based count yet
+      if (activeAgentCount.value === 0) {
+        activeAgentCount.value = caps.capabilities.length
+      }
     }
   } catch {
     // capabilities may not be available

src/agentkit/server/frontend/src/views/ChatView.vue

@@ -66,11 +66,13 @@ const ATypographyText = ATypography.Text
 const chatStore = useChatStore()
 const messagesContainer = ref<HTMLElement | null>(null)
 
-onMounted(() => {
-  chatStore.loadConversations()
+onMounted(async () => {
+  await chatStore.loadConversations()
   chatStore.connectWebSocket()
-  // Auto-create a default conversation so user can start chatting immediately
-  if (!chatStore.currentConversationId) {
+  // Auto-select or create a conversation so user can start chatting immediately
+  if (chatStore.conversations.length > 0 && !chatStore.currentConversationId) {
+    chatStore.selectConversation(chatStore.conversations[0].id)
+  } else if (chatStore.conversations.length === 0) {
     chatStore.createConversation()
   }
 })

src/agentkit/server/routes/evolution_dashboard.py

@@ -456,15 +456,17 @@ async def get_usage(
     """获取 LLM 用量统计"""
     now = datetime.now(timezone.utc)
     if period == "today":
+        days = 1
         start_time = now.replace(hour=0, minute=0, second=0, microsecond=0)
     elif period == "30d":
+        days = 30
         start_time = now - timedelta(days=30)
     else:
+        days = 7
         start_time = now - timedelta(days=7)
 
     total_tokens = 0
     total_requests = 0
-    total_errors = 0
     total_latency = 0.0
     usage_records: list[dict] = []
 
@@ -482,17 +484,18 @@ async def get_usage(
             for r in summary.records:
                 date_key = r.timestamp.strftime("%Y-%m-%d")
                 if date_key not in daily:
-                    daily[date_key] = {"tokens": 0, "requests": 0, "latency": 0.0, "model": r.model}
+                    daily[date_key] = {"tokens": 0, "requests": 0, "latency": 0.0, "models": set()}
                 daily[date_key]["tokens"] += r.total_tokens
                 daily[date_key]["requests"] += 1
                 daily[date_key]["latency"] += r.latency_ms
+                daily[date_key]["models"].add(r.model)
 
             for date_key in sorted(daily):
                 d = daily[date_key]
                 usage_records.append({
                     "date": date_key,
                     "provider": "llm",
-                    "model": d["model"],
+                    "model": ", ".join(sorted(d["models"])),
                     "tokens": d["tokens"],
                     "requests": d["requests"],
                     "errors": 0,
@@ -502,12 +505,6 @@ async def get_usage(
             logger.error(f"Failed to get usage from LLMGateway: {e}")
 
     # Fill in missing dates with zero
-    if period == "today":
-        days = 1
-    elif period == "30d":
-        days = 30
-    else:
-        days = 7
     existing_dates = {r["date"] for r in usage_records}
     for i in range(days - 1, -1, -1):
         date = (now - timedelta(days=i)).strftime("%Y-%m-%d")

src/agentkit/server/routes/portal.py

@@ -529,11 +529,6 @@ async def portal_websocket(websocket: WebSocket):
             cost_aware_router = websocket.app.state.cost_aware_router
 
             all_skills = skill_registry.list_skills()
-            if not all_skills:
-                await websocket.send_json(
-                    {"type": "error", "data": {"message": "No skills available"}}
-                )
-                continue
 
             # Get default tools for CostAwareRouter routing (only if default skill exists)
             default_tools = []
@@ -599,6 +594,27 @@ async def portal_websocket(websocket: WebSocket):
             agent_name = routing_result.agent_name or "default"
             agent = pool.get_agent(agent_name)
             if agent is None:
+                if not all_skills:
+                    # No skills registered — fallback to direct chat
+                    chat_messages = [{"role": "user", "content": message_text}]
+                    try:
+                        history = _conversation_store.get_history(conv.id, limit=20)
+                        for hist_msg in history[:-1]:
+                            if hist_msg.role in ("user", "assistant"):
+                                chat_messages.insert(0, {"role": hist_msg.role, "content": hist_msg.content})
+                    except Exception:
+                        pass
+                    response = await llm_gateway.chat(
+                        messages=chat_messages,
+                        model="default",
+                        agent_name="default",
+                        task_type="chat",
+                    )
+                    await websocket.send_json({
+                        "type": "result",
+                        "data": {"status": "completed", "content": response.content},
+                    })
+                    continue
                 agent = await pool.create_agent_from_skill(agent_name)
 
             # Execute via ReAct stream
@@ -664,7 +680,7 @@ async def portal_websocket(websocket: WebSocket):
             )
 
     except WebSocketDisconnect:
-        logger.debug(f"Portal WebSocket disconnected for conversation {conv.id}")
+        logger.debug(f"Portal WebSocket disconnected for conversation {conv.id if conv else 'N/A'}")
     except Exception as e:
         logger.error(f"Portal WebSocket error: {e}")
         try: