Fix credits

app/api/v1/order/benefit/route.ts

@@ -35,14 +35,9 @@ export async function POST(request: NextRequest) {
     const json = await res.json()
     const data = json.data
 
-    const used: number = data?.usage?.search ?? 0
+    const remainingCredits: string = data?.remaining_credits ?? '0'
 
-    const quotas: Array<{ product_type: string; limit: number }> =
-      data?.plan?.metadata?.product_quotas ?? []
-    const searchQuota = quotas.find((q) => q.product_type === 'search')
-    const limit: number | null = searchQuota?.limit ?? null
-
-    return NextResponse.json({ used, limit })
+    return NextResponse.json({ remainingCredits })
   } catch (err) {
     console.error('[benefit] Failed to fetch quota:', err)
     return NextResponse.json(

app/api/v1/search/stream/route.ts

@@ -48,6 +48,15 @@ function mockSearchStream(
           ),
         )
 
+        // Send columns first so frontend can start extraction as soon as enough papers arrive
+        const columns = getSuggestedColumns(query)
+        for (const col of columns) {
+          await sleep(50)
+          controller.enqueue(
+            encoder.encode(sseEvent('column', JSON.stringify(col))),
+          )
+        }
+
         const papers = getMockPapers(query, page, pageSize)
         for (const paper of papers) {
           await sleep(80)
@@ -57,14 +66,6 @@ function mockSearchStream(
           )
         }
 
-        const columns = getSuggestedColumns(query)
-        for (const col of columns) {
-          await sleep(50)
-          controller.enqueue(
-            encoder.encode(sseEvent('column', JSON.stringify(col))),
-          )
-        }
-
         controller.enqueue(
           encoder.encode(
             sseEvent(
@@ -103,6 +104,23 @@ function wispaperSearchStream(
         ),
       )
 
+      // Send fixed auto columns early so frontend can start extraction as soon as enough papers arrive
+      for (let i = 0; i < FIXED_AUTO_COLUMNS.length; i++) {
+        const col = FIXED_AUTO_COLUMNS[i]
+        controller.enqueue(
+          encoder.encode(
+            sseEvent(
+              'column',
+              JSON.stringify({
+                id: `col_auto_${i}`,
+                name: col.name,
+                prompt: col.prompt,
+              }),
+            ),
+          ),
+        )
+      }
+
       const offset = (page - 1) * pageSize
       const body = {
         message: query,
@@ -244,23 +262,6 @@ function wispaperSearchStream(
         console.warn(`Wispaper search error for '${query}':`, err)
       }
 
-      // Send fixed auto columns (Task + Method)
-      for (let i = 0; i < FIXED_AUTO_COLUMNS.length; i++) {
-        const col = FIXED_AUTO_COLUMNS[i]
-        controller.enqueue(
-          encoder.encode(
-            sseEvent(
-              'column',
-              JSON.stringify({
-                id: `col_auto_${i}`,
-                name: col.name,
-                prompt: col.prompt,
-              }),
-            ),
-          ),
-        )
-      }
-
       controller.enqueue(
         encoder.encode(
           sseEvent(

components/SearchBar.tsx

@@ -13,7 +13,7 @@ export interface SearchBarHandle {
 
 const SearchBar = forwardRef<SearchBarHandle>(function SearchBar(_props, ref) {
   const [inputValue, setInputValue] = useState('')
-  const [quota, setQuota] = useState<{ used: number; limit: number | null } | null>(null)
+  const [quota, setQuota] = useState<{ remainingCredits: string } | null>(null)
   const [showLoginModal, setShowLoginModal] = useState(false)
   const query = useMatrixStore((s) => s.query)
   const { doSearch, isSearching } = useSearch()
@@ -136,9 +136,7 @@ const SearchBar = forwardRef<SearchBarHandle>(function SearchBar(_props, ref) {
 
       {quota && (
         <div className="mt-2 text-xs text-white/50">
-          {quota.limit === null
-            ? t('searchQuotaUnmetered', { used: String(quota.used) })
-            : t('searchQuota', { used: String(quota.used), limit: String(quota.limit) })}
+          {t('remainingCredits', { credits: Math.floor(Number(quota.remainingCredits)).toLocaleString() })}
         </div>
       )}
 

hooks/useSearch.ts

@@ -111,6 +111,8 @@ export function useSearch() {
           } else if (event === 'paper') {
             addPaper(data as Paper)
             paperIds.push(data.id)
+            // column 已先到达，检查论文数是否足够触发抽取
+            tryEarlyExtraction()
           } else if (event === 'column') {
             const s = data as ColumnSuggestion
             const col: Column = {

i18n/en.ts

@@ -9,8 +9,7 @@ const en: Messages = {
   searchPlaceholder: 'Enter your research question...',
   searchButton: 'Search',
   searchingButton: 'Searching',
-  searchQuota: 'Search quota: {used}/{limit}',
-  searchQuotaUnmetered: 'Search quota: {used} used (unmetered)',
+  remainingCredits: 'Remaining Credits: {credits}',
 
   // Empty state
   emptyTitle: 'Explore Research Literature',

i18n/types.ts

@@ -9,8 +9,7 @@ export interface Messages {
   searchPlaceholder: string
   searchButton: string
   searchingButton: string
-  searchQuota: string
-  searchQuotaUnmetered: string
+  remainingCredits: string
 
   // Empty state
   emptyTitle: string

i18n/zh.ts

@@ -9,8 +9,7 @@ const zh: Messages = {
   searchPlaceholder: '输入你的研究问题...',
   searchButton: '搜索',
   searchingButton: '搜索中',
-  searchQuota: '搜索额度：{used}/{limit}',
-  searchQuotaUnmetered: '搜索额度：已用 {used} 次（不限次）',
+  remainingCredits: '剩余 Credits：{credits}',
 
   // Empty state
   emptyTitle: '探索研究文献',