feat: compact usage widget in authenticated layout header

.woodpecker/ci.yml

@@ -32,7 +32,6 @@ variables:
   - &node_image "node:24-alpine"
   - &install_deps |
     corepack enable
-    pnpm config set store-dir /root/.local/share/pnpm/store
     pnpm install --frozen-lockfile
   - &use_deps |
     corepack enable

apps/web/src/app/(authenticated)/kanban/page.tsx

@@ -184,11 +184,10 @@ function TaskCard({ task, provided, snapshot, columnAccent }: TaskCardProps): Re
 interface KanbanColumnProps {
   config: ColumnConfig;
   tasks: Task[];
-  onAddTask: (status: TaskStatus, title: string, projectId?: string) => Promise<void>;
+  onAddTask: (status: TaskStatus, title: string) => Promise<void>;
-  projectId?: string;
 }
 
-function KanbanColumn({ config, tasks, onAddTask, projectId }: KanbanColumnProps): ReactElement {
+function KanbanColumn({ config, tasks, onAddTask }: KanbanColumnProps): ReactElement {
   const [showAddForm, setShowAddForm] = useState(false);
   const [inputValue, setInputValue] = useState("");
   const [isSubmitting, setIsSubmitting] = useState(false);
@@ -209,7 +208,7 @@ function KanbanColumn({ config, tasks, onAddTask, projectId }: KanbanColumnProps
 
     setIsSubmitting(true);
     try {
-      await onAddTask(config.status, inputValue.trim(), projectId);
+      await onAddTask(config.status, inputValue.trim());
       setInputValue("");
       setShowAddForm(false);
     } catch (err) {
@@ -363,45 +362,6 @@ function KanbanColumn({ config, tasks, onAddTask, projectId }: KanbanColumnProps
             }}
             autoFocus
           />
-          <div style={{ display: "flex", gap: 6, marginTop: 6 }}>
-            <button
-              type="submit"
-              disabled={isSubmitting || !inputValue.trim()}
-              style={{
-                padding: "6px 12px",
-                borderRadius: "var(--r)",
-                border: "1px solid var(--primary)",
-                background: "var(--primary)",
-                color: "#fff",
-                fontSize: "0.8rem",
-                fontWeight: 500,
-                cursor: isSubmitting || !inputValue.trim() ? "not-allowed" : "pointer",
-                opacity: isSubmitting || !inputValue.trim() ? 0.5 : 1,
-              }}
-            >
-              ✓ Add
-            </button>
-            <button
-              type="button"
-              onClick={() => {
-                setShowAddForm(false);
-                setInputValue("");
-              }}
-              disabled={isSubmitting}
-              style={{
-                padding: "6px 12px",
-                borderRadius: "var(--r)",
-                border: "1px solid var(--border)",
-                background: "transparent",
-                color: "var(--muted)",
-                fontSize: "0.8rem",
-                cursor: isSubmitting ? "not-allowed" : "pointer",
-                opacity: isSubmitting ? 0.5 : 1,
-              }}
-            >
-              Cancel
-            </button>
-          </div>
           <div style={{ marginTop: 6, fontSize: "0.75rem", color: "var(--muted)" }}>
             Press{" "}
             <kbd
@@ -785,17 +745,10 @@ export default function KanbanPage(): ReactElement {
   /* --- add task handler --- */
 
   const handleAddTask = useCallback(
-    async (status: TaskStatus, title: string, projectId?: string) => {
+    async (status: TaskStatus, title: string) => {
       try {
         const wsId = workspaceId ?? undefined;
-        const taskData: { title: string; status: TaskStatus; projectId?: string } = {
+        const newTask = await createTask({ title, status }, wsId);
-          title,
-          status,
-        };
-        if (projectId) {
-          taskData.projectId = projectId;
-        }
-        const newTask = await createTask(taskData, wsId);
         // Optimistically add to local state
         setTasks((prev) => [...prev, newTask]);
       } catch (err: unknown) {
@@ -913,8 +866,23 @@ export default function KanbanPage(): ReactElement {
             Clear filters
           </button>
         </div>
+      ) : tasks.length === 0 ? (
+        /* Empty state */
+        <div
+          style={{
+            background: "var(--surface)",
+            border: "1px solid var(--border)",
+            borderRadius: "var(--r-lg)",
+            padding: 48,
+            textAlign: "center",
+          }}
+        >
+          <p style={{ color: "var(--muted)", margin: 0, fontSize: "0.9rem" }}>
+            No tasks yet. Create some tasks to see them here.
+          </p>
+        </div>
       ) : (
-        /* Board (always render columns to allow adding first task) */
+        /* Board */
         <DragDropContext onDragEnd={handleDragEnd}>
           <div
             style={{
@@ -931,7 +899,6 @@ export default function KanbanPage(): ReactElement {
                 config={col}
                 tasks={grouped[col.status]}
                 onAddTask={handleAddTask}
-                projectId={filterProject}
               />
             ))}
           </div>

apps/web/src/lib/api/chat.ts

@@ -1,6 +1,6 @@
 /**
  * Chat API client
- * Handles LLM chat interactions via /api/chat/stream (streaming) and /api/llm/chat (fallback)
+ * Handles LLM chat interactions via /api/llm/chat
  */
 
 import { apiPost, fetchCsrfToken, getCsrfToken } from "./client";
@@ -33,28 +33,9 @@ export interface ChatResponse {
 }
 
 /**
- * Parsed SSE data chunk from OpenAI-compatible stream
+ * Parsed SSE data chunk from the LLM stream
  */
-interface OpenAiSseChunk {
+interface SseChunk {
-  id?: string;
-  object?: string;
-  created?: number;
-  model?: string;
-  choices?: {
-    index: number;
-    delta?: {
-      role?: string;
-      content?: string;
-    };
-    finish_reason?: string | null;
-  }[];
-  error?: string;
-}
-
-/**
- * Parsed SSE data chunk from legacy /api/llm/chat stream
- */
-interface LegacySseChunk {
   error?: string;
   message?: {
     role: string;
@@ -65,17 +46,7 @@ interface LegacySseChunk {
 }
 
 /**
- * Parsed SSE data chunk with simple token format
+ * Send a chat message to the LLM
- */
-interface SimpleTokenChunk {
-  token?: string;
-  done?: boolean;
-  error?: string;
-}
-
-/**
- * Send a chat message to the LLM (non-streaming fallback)
- * Uses /api/llm/chat endpoint which supports both streaming and non-streaming
  */
 export async function sendChatMessage(request: ChatRequest): Promise<ChatResponse> {
   return apiPost<ChatResponse>("/api/llm/chat", request);
@@ -95,20 +66,11 @@ async function ensureCsrfTokenForStream(): Promise<string> {
 /**
  * Stream a chat message from the LLM using SSE over fetch.
  *
- * Uses /api/chat/stream endpoint which proxies to OpenClaw.
+ * The backend accepts stream: true in the request body and responds with
- * The backend responds with Server-Sent Events in one of these formats:
+ * Server-Sent Events:
- *
+ *   data: {"message":{"content":"token"},...}\n\n  for each token
- * OpenAI-compatible format:
+ *   data: [DONE]\n\n  when the stream is complete
- *   data: {"choices":[{"delta":{"content":"token"}}],...}\n\n
+ *   data: {"error":"message"}\n\n  on error
- *   data: [DONE]\n\n
- *
- * Legacy format (from /api/llm/chat):
- *   data: {"message":{"content":"token"},...}\n\n
- *   data: [DONE]\n\n
- *
- * Simple token format:
- *   data: {"token":"..."}\n\n
- *   data: {"done":true}\n\n
  *
  * @param request - Chat request (stream field will be forced to true)
  * @param onChunk - Called with each token string as it arrives
@@ -127,14 +89,14 @@ export function streamChatMessage(
     try {
       const csrfToken = await ensureCsrfTokenForStream();
 
-      const response = await fetch(`${API_BASE_URL}/api/chat/stream`, {
+      const response = await fetch(`${API_BASE_URL}/api/llm/chat`, {
         method: "POST",
         headers: {
           "Content-Type": "application/json",
           "X-CSRF-Token": csrfToken,
         },
         credentials: "include",
-        body: JSON.stringify({ messages: request.messages, stream: true }),
+        body: JSON.stringify({ ...request, stream: true }),
         signal: signal ?? null,
       });
 
@@ -170,25 +132,6 @@ export function streamChatMessage(
           const trimmed = part.trim();
           if (!trimmed) continue;
 
-          // Handle event: error format
-          const eventMatch = /^event:\s*(\S+)\n/i.exec(trimmed);
-          const dataMatch = /^data:\s*(.+)$/im.exec(trimmed);
-
-          if (eventMatch?.[1] === "error" && dataMatch?.[1]) {
-            try {
-              const errorData = JSON.parse(dataMatch[1].trim()) as {
-                error?: string;
-              };
-              throw new Error(errorData.error ?? "Stream error occurred");
-            } catch (parseErr) {
-              if (parseErr instanceof SyntaxError) {
-                throw new Error("Stream error occurred");
-              }
-              throw parseErr;
-            }
-          }
-
-          // Standard SSE format: data: {...}
           for (const line of trimmed.split("\n")) {
             if (!line.startsWith("data: ")) continue;
 
@@ -200,39 +143,14 @@ export function streamChatMessage(
             }
 
             try {
-              const parsed: unknown = JSON.parse(data);
+              const parsed = JSON.parse(data) as SseChunk;
 
-              // Handle OpenAI format (from /api/chat/stream via OpenClaw)
+              if (parsed.error) {
-              const openAiChunk = parsed as OpenAiSseChunk;
+                throw new Error(parsed.error);
-              if (openAiChunk.choices?.[0]?.delta?.content) {
-                onChunk(openAiChunk.choices[0].delta.content);
-                continue;
               }
 
-              // Handle legacy format (from /api/llm/chat)
+              if (parsed.message?.content) {
-              const legacyChunk = parsed as LegacySseChunk;
+                onChunk(parsed.message.content);
-              if (legacyChunk.message?.content) {
-                onChunk(legacyChunk.message.content);
-                continue;
-              }
-
-              // Handle simple token format
-              const simpleChunk = parsed as SimpleTokenChunk;
-              if (simpleChunk.token) {
-                onChunk(simpleChunk.token);
-                continue;
-              }
-
-              // Handle done flag in simple format
-              if (simpleChunk.done === true) {
-                onComplete();
-                return;
-              }
-
-              // Handle error in any format
-              const error = openAiChunk.error ?? legacyChunk.error ?? simpleChunk.error;
-              if (error) {
-                throw new Error(error);
               }
             } catch (parseErr) {
               if (parseErr instanceof SyntaxError) {
@@ -244,7 +162,7 @@ export function streamChatMessage(
         }
       }
 
-      // Natural end of stream without [DONE] or done flag
+      // Natural end of stream without [DONE]
       onComplete();
     } catch (err: unknown) {
       if (err instanceof DOMException && err.name === "AbortError") {