新增智能体收藏、定时任务必须生成MD校验、问答时间显示及账号绑定的常用提示词

- 智能体支持从广场收藏到「我的」（新增 agent_favorites 表与收藏/取消收藏接口）
- 定时任务新增「必须生成Markdown文件」开关：注入提示词并校验生成的 .md 文件且正文超过100字，否则记为失败（存于 execution_context，无需迁移）
- 聊天问答展示时间（年月日 时分）：问题在右下角、回答在左下角
- 常用提示词改为与账号绑定（新增 user_custom_prompts 表与 /api/user-prompts 接口），仅在首页输入框上方以居中标签 + 轮播展示，齿轮置于最右侧管理

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

frontend-web/src/components/workspace/agents/agent-card.tsx

@@ -9,6 +9,7 @@ import {
   ShieldIcon,
   SparklesIcon,
   SquarePenIcon,
+  StarIcon,
   TagsIcon,
   Trash2Icon,
 } from "lucide-react";
@@ -44,6 +45,7 @@ import {
   useDeleteAgent,
   useSetAgentFeatured,
   useSetAgentPrivate,
+  useToggleAgentFavorite,
   useUpdateAgent,
 } from "@/core/agents";
 import type { Agent } from "@/core/agents";
@@ -64,6 +66,7 @@ export function AgentCard({ agent }: AgentCardProps) {
   const updateAgent = useUpdateAgent();
   const setFeatured = useSetAgentFeatured();
   const setPrivate = useSetAgentPrivate();
+  const toggleFavorite = useToggleAgentFavorite();
   const { skills, isLoading: isSkillsLoading } = useSkills();
   const [deleteOpen, setDeleteOpen] = useState(false);
   const [editOpen, setEditOpen] = useState(false);
@@ -91,6 +94,10 @@ export function AgentCard({ agent }: AgentCardProps) {
   // everyone so toggling published is moot.
   const canEdit = isOwned || isAdmin;
   const canDelete = isOwned || isAdmin;
+  // Favoriting collects a square agent into "我的"; pointless for one you
+  // already own, so only offer it on built-in / others' agents.
+  const canFavorite = !isOwned;
+  const isFavorite = !!agent.is_favorite;
 
   useEffect(() => {
     if (!editOpen) {
@@ -197,6 +204,16 @@ export function AgentCard({ agent }: AgentCardProps) {
     }
   }
 
+  async function handleToggleFavorite() {
+    const next = !isFavorite;
+    try {
+      await toggleFavorite.mutateAsync({ id: agent.id, favorite: next });
+      toast.success(next ? "已收藏到「我的」" : "已取消收藏");
+    } catch (err) {
+      toast.error(err instanceof Error ? err.message : String(err));
+    }
+  }
+
   async function handleToggleFeatured() {
     // One-click on/off — ordering is handled by the dedicated 管理 Agent 列表
     // dialog. Featured agents get appended to the end on add (Date.now() is a
@@ -347,8 +364,25 @@ export function AgentCard({ agent }: AgentCardProps) {
         )}
 
         <CardFooter className="mt-auto flex flex-col items-stretch gap-2 pt-3">
-          {(canEdit || canDelete || isOwned || isAdmin) && (
+          {(canEdit || canDelete || isOwned || isAdmin || canFavorite) && (
             <div className="flex flex-wrap items-center justify-end gap-1">
+              {canFavorite && (
+                <Button
+                  size="icon"
+                  variant="ghost"
+                  className={cn(
+                    "mr-auto h-8 w-8 shrink-0",
+                    isFavorite && "text-amber-500 hover:text-amber-600",
+                  )}
+                  onClick={() => void handleToggleFavorite()}
+                  disabled={toggleFavorite.isPending}
+                  title={isFavorite ? "取消收藏" : "收藏到「我的」"}
+                >
+                  <StarIcon
+                    className={cn("h-3.5 w-3.5", isFavorite && "fill-current")}
+                  />
+                </Button>
+              )}
               {isAdmin && (
                 <Button
                   size="icon"

frontend-web/src/components/workspace/agents/agent-gallery.tsx

@@ -89,12 +89,15 @@ export function AgentGallery() {
     [agents, search],
   );
 
+  // "我的" shows the user's own agents plus any agent they've favorited (收藏)
+  // from the square — favorited public agents have a different user_id but a
+  // truthy is_favorite flag.
   const myAgents = useMemo(
     () =>
       agents.filter(
         (a) =>
-          a.user_id !== null &&
-          a.user_id === currentUserId &&
+          ((a.user_id !== null && a.user_id === currentUserId) ||
+            a.is_favorite) &&
           matchesSearch(a),
       ),
     // eslint-disable-next-line react-hooks/exhaustive-deps

frontend-web/src/components/workspace/chats/chat-box.tsx

@@ -152,17 +152,17 @@ const ChatBox: React.FC<{ children: React.ReactNode; threadId: string }> = ({
     () =>
       adaptBackendReferenceBatches(
         backendReferenceBatches,
-        fallbackReferenceBatches,
         skillDisplayMap,
       ),
-    [backendReferenceBatches, fallbackReferenceBatches, skillDisplayMap],
+    [backendReferenceBatches, skillDisplayMap],
   );
   const referenceBatches = useMemo(
-    () =>
-      mergeReferenceBatches(
-        adaptedBackendReferenceBatches,
-        fallbackReferenceBatches,
-      ),
+    () => {
+      if (adaptedBackendReferenceBatches.length > 0) {
+        return adaptedBackendReferenceBatches;
+      }
+      return fallbackReferenceBatches;
+    },
     [adaptedBackendReferenceBatches, fallbackReferenceBatches],
   );
   useEffect(() => {
@@ -188,6 +188,10 @@ const ChatBox: React.FC<{ children: React.ReactNode; threadId: string }> = ({
       fallbackSourceCounts: fallbackReferenceBatches.map((batch) => batch.sources?.length ?? 0),
       finalBatchCount: referenceBatches.length,
       finalSourceCounts: referenceBatches.map((batch) => batch.sources?.length ?? 0),
+      backendBatches: debugReferenceBatches(backendReferenceBatches),
+      adaptedBackendBatches: debugReferenceBatches(adaptedBackendReferenceBatches),
+      fallbackBatches: debugReferenceBatches(fallbackReferenceBatches),
+      finalBatches: debugReferenceBatches(referenceBatches),
     });
   }, [adaptedBackendReferenceBatches, backendReferenceBatches, fallbackReferenceBatches, ragModeEnabled, referenceBatches, threadId]);
   const latestReferenceBatch =
@@ -199,6 +203,17 @@ const ChatBox: React.FC<{ children: React.ReactNode; threadId: string }> = ({
     latestReferenceBatch;
   const referenceSources = activeReferenceBatch?.sources ?? [];
   const hasCitationReferences = referenceSources.length > 0;
+  useEffect(() => {
+    if (!ragModeEnabled || !activeReferenceBatch) {
+      return;
+    }
+    logReferenceDebug("frontend-active-reference-batch-payload", threadId, {
+      activeBatchId: activeReferenceBatch.id,
+      assistantMessageId: activeReferenceBatch.assistant_message_id,
+      sourceCount: activeReferenceBatch.sources.length,
+      sources: activeReferenceBatch.sources.map(debugReferenceSource),
+    });
+  }, [activeReferenceBatch, ragModeEnabled, threadId]);
   useEffect(() => {
     if (hasCitationReferences) {
       setReferencesOpen(true);
@@ -503,36 +518,60 @@ function ReferencePanel({
   );
 }
 
+function debugReferenceBatches(batches: BackendReferenceBatch[]) {
+  return batches.map((batch) => ({
+    id: batch.id,
+    assistantMessageId: batch.assistant_message_id,
+    sourceCount: batch.sources?.length ?? 0,
+    sources: (batch.sources ?? []).map(debugReferenceSource),
+  }));
+}
+
+function debugReferenceSource(source: BackendReferenceSource) {
+  const raw =
+    source.raw && typeof source.raw === "object" && !Array.isArray(source.raw)
+      ? (source.raw as Record<string, unknown>)
+      : {};
+  return {
+    index: source.index,
+    id: source.id,
+    skillName: source.skillName,
+    mode: source.mode,
+    title: source.title,
+    source: source.source,
+    author: source.author,
+    time: source.time,
+    url: source.url,
+    snippet: source.snippet,
+    content: source.content,
+    rawIdCandidates: {
+      recUuid: raw.recUuid,
+      rec_uuid: raw.rec_uuid,
+      uuid: raw.uuid,
+      docId: raw.docId,
+      doc_id: raw.doc_id,
+      id: raw.id,
+      url: raw.url,
+    },
+    raw: source.raw,
+  };
+}
+
 function adaptBackendReferenceBatches(
   backendBatches: BackendReferenceBatch[],
-  configuredBatches: BackendReferenceBatch[],
   skillDisplayMap: ReturnType<typeof buildSkillDisplayMap>,
 ): BackendReferenceBatch[] {
   if (backendBatches.length === 0) {
     return backendBatches;
   }
-  return backendBatches.map((backendBatch, batchIndex) => {
-    const configuredBatch =
-      configuredBatches.find(
-        (batch) =>
-          batch.id === backendBatch.id ||
-          batch.assistant_message_id === backendBatch.assistant_message_id,
-      ) ?? configuredBatches[batchIndex];
-    const configuredSources = configuredBatch?.sources ?? [];
-    const configuredByIndex = new Map(
-      configuredSources.map((source) => [source.index, source]),
-    );
-    const configuredByKey = new Map(
-      configuredSources.map((source) => [referenceSourceKey(source), source]),
-    );
+  return backendBatches.map((backendBatch) => {
     return {
       ...backendBatch,
-      sources: backendBatch.sources.map((backendSource, sourceIndex) => {
-        const configuredSource =
-          configuredByIndex.get(backendSource.index) ??
-          configuredByKey.get(referenceSourceKey(backendSource)) ??
-          configuredSources[sourceIndex] ??
-          adaptBackendSourceWithSkillDisplay(backendSource, skillDisplayMap);
+      sources: backendBatch.sources.map((backendSource) => {
+        const configuredSource = adaptBackendSourceWithSkillDisplay(
+          backendSource,
+          skillDisplayMap,
+        );
         if (!configuredSource) {
           return backendSource;
         }
@@ -551,35 +590,6 @@ function adaptBackendReferenceBatches(
   });
 }
 
-function mergeReferenceBatches(
-  backendBatches: BackendReferenceBatch[],
-  fallbackBatches: BackendReferenceBatch[],
-): BackendReferenceBatch[] {
-  if (backendBatches.length === 0) {
-    return fallbackBatches;
-  }
-  if (fallbackBatches.length === 0) {
-    return backendBatches;
-  }
-  const merged = [...backendBatches];
-  const knownIds = new Set(
-    backendBatches.flatMap((batch) =>
-      [batch.id, batch.assistant_message_id].filter(Boolean),
-    ),
-  );
-  for (const fallbackBatch of fallbackBatches) {
-    if (
-      knownIds.has(fallbackBatch.id) ||
-      (fallbackBatch.assistant_message_id &&
-        knownIds.has(fallbackBatch.assistant_message_id))
-    ) {
-      continue;
-    }
-    merged.push(fallbackBatch);
-  }
-  return merged;
-}
-
 function adaptBackendSourceWithSkillDisplay(
   source: BackendReferenceSource,
   skillDisplayMap: ReturnType<typeof buildSkillDisplayMap>,
@@ -657,37 +667,6 @@ function buildPayloadAtPath(path: string, items: Record<string, unknown>[]) {
   return root;
 }
 
-function referenceSourceKey(source: BackendReferenceSource): string {
-  const raw = source.raw ?? {};
-  const rawRecord =
-    raw && typeof raw === "object" && !Array.isArray(raw)
-      ? (raw as Record<string, unknown>)
-      : {};
-  const id =
-    source.id ||
-    source.url ||
-    stringifyKeyValue(rawRecord.recUuid) ||
-    stringifyKeyValue(rawRecord.uuid) ||
-    stringifyKeyValue(rawRecord.docId) ||
-    stringifyKeyValue(rawRecord.id);
-  if (id) {
-    return id.trim().toLowerCase();
-  }
-  return [source.title, source.source, source.time, source.content, source.snippet]
-    .filter(Boolean)
-    .join("|")
-    .trim()
-    .toLowerCase();
-}
-
-function stringifyKeyValue(value: unknown): string | undefined {
-  if (typeof value === "string" || typeof value === "number") {
-    const text = String(value).trim();
-    return text || undefined;
-  }
-  return undefined;
-}
-
 function findPreviousHumanMessageId(
   messages: Message[],
   beforeMessageId?: string,

frontend-web/src/components/workspace/custom-prompt-menu.tsx

@@ -0,0 +1,294 @@
+"use client";
+
+import {
+  ChevronLeftIcon,
+  ChevronRightIcon,
+  PencilIcon,
+  Settings2Icon,
+  Trash2Icon,
+} from "lucide-react";
+import { useCallback, useEffect, useRef, useState } from "react";
+import { toast } from "sonner";
+
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { Input } from "@/components/ui/input";
+import { Textarea } from "@/components/ui/textarea";
+import {
+  useCreateCustomPrompt,
+  useCustomPrompts,
+  useDeleteCustomPrompt,
+  useUpdateCustomPrompt,
+} from "@/core/custom-prompts";
+import { cn } from "@/lib/utils";
+
+/**
+ * Bar above the chat input showing the user's saved prompts as centered,
+ * clickable chips. When there are too many to fit, they become a horizontal
+ * carousel (arrows appear). A gear pinned to the far right opens the manage
+ * dialog. Prompts are bound to the account (server-backed), and this coexists
+ * with the admin-configured global prompt prefix.
+ */
+export function CustomPromptBar({
+  onInsert,
+  className,
+}: {
+  onInsert: (content: string) => void;
+  className?: string;
+}) {
+  const prompts = useCustomPrompts();
+  const [manageOpen, setManageOpen] = useState(false);
+
+  const scrollRef = useRef<HTMLDivElement>(null);
+  const [canLeft, setCanLeft] = useState(false);
+  const [canRight, setCanRight] = useState(false);
+
+  const updateArrows = useCallback(() => {
+    const el = scrollRef.current;
+    if (!el) return;
+    setCanLeft(el.scrollLeft > 4);
+    setCanRight(el.scrollLeft + el.clientWidth < el.scrollWidth - 4);
+  }, []);
+
+  useEffect(() => {
+    updateArrows();
+    window.addEventListener("resize", updateArrows);
+    return () => window.removeEventListener("resize", updateArrows);
+  }, [updateArrows, prompts]);
+
+  const scrollByDir = (dir: 1 | -1) => {
+    scrollRef.current?.scrollBy({ left: dir * 220, behavior: "smooth" });
+  };
+
+  const overflowing = canLeft || canRight;
+
+  return (
+    <>
+      <div className={cn("flex items-center gap-1", className)}>
+        {prompts.length > 0 && (
+          <>
+            {overflowing && (
+              <Button
+                type="button"
+                variant="ghost"
+                size="icon"
+                className="text-muted-foreground hover:text-foreground h-7 w-7 shrink-0 rounded-full"
+                disabled={!canLeft}
+                onClick={() => scrollByDir(-1)}
+                aria-label="上一组"
+              >
+                <ChevronLeftIcon className="size-4" />
+              </Button>
+            )}
+            <div
+              ref={scrollRef}
+              onScroll={updateArrows}
+              className="flex-1 overflow-x-auto [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden"
+            >
+              <div className="mx-auto flex w-max items-center gap-1.5 px-0.5 py-0.5">
+                {prompts.map((prompt) => (
+                  <button
+                    key={prompt.id}
+                    type="button"
+                    onClick={() => onInsert(prompt.content)}
+                    title={prompt.content}
+                    className={cn(
+                      "border-border/60 bg-muted/40 text-foreground/80 hover:bg-muted hover:text-foreground hover:border-border max-w-[200px] shrink-0 truncate rounded-full border px-3 py-1 text-xs font-medium shadow-sm transition-colors",
+                      "dark:border-slate-600/70 dark:bg-slate-700/40 dark:text-slate-200 dark:hover:bg-slate-700",
+                    )}
+                  >
+                    {prompt.title || prompt.content || "未命名提示词"}
+                  </button>
+                ))}
+              </div>
+            </div>
+            {overflowing && (
+              <Button
+                type="button"
+                variant="ghost"
+                size="icon"
+                className="text-muted-foreground hover:text-foreground h-7 w-7 shrink-0 rounded-full"
+                disabled={!canRight}
+                onClick={() => scrollByDir(1)}
+                aria-label="下一组"
+              >
+                <ChevronRightIcon className="size-4" />
+              </Button>
+            )}
+          </>
+        )}
+        {prompts.length === 0 && <div className="flex-1" />}
+        <Button
+          type="button"
+          variant="ghost"
+          size="icon"
+          className="text-muted-foreground hover:text-foreground hover:bg-muted/70 h-7 w-7 shrink-0 rounded-full"
+          title="管理常用提示词"
+          aria-label="管理常用提示词"
+          onClick={() => setManageOpen(true)}
+        >
+          <Settings2Icon className="size-4" />
+        </Button>
+      </div>
+
+      <ManagePromptsDialog open={manageOpen} onOpenChange={setManageOpen} />
+    </>
+  );
+}
+
+function ManagePromptsDialog({
+  open,
+  onOpenChange,
+}: {
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+}) {
+  const prompts = useCustomPrompts();
+  const createPrompt = useCreateCustomPrompt();
+  const updatePrompt = useUpdateCustomPrompt();
+  const deletePrompt = useDeleteCustomPrompt();
+  const [editingId, setEditingId] = useState<string | null>(null);
+  const [title, setTitle] = useState("");
+  const [content, setContent] = useState("");
+
+  const saving = createPrompt.isPending || updatePrompt.isPending;
+
+  const resetForm = () => {
+    setEditingId(null);
+    setTitle("");
+    setContent("");
+  };
+
+  const handleSubmit = async () => {
+    const trimmedTitle = title.trim();
+    if (!content.trim()) {
+      toast.error("提示词内容不能为空");
+      return;
+    }
+    try {
+      if (editingId) {
+        await updatePrompt.mutateAsync({
+          id: editingId,
+          input: { title: trimmedTitle, content },
+        });
+        toast.success("提示词已更新");
+      } else {
+        await createPrompt.mutateAsync({ title: trimmedTitle, content });
+        toast.success("提示词已添加");
+      }
+      resetForm();
+    } catch (err) {
+      toast.error(err instanceof Error ? err.message : String(err));
+    }
+  };
+
+  const handleEdit = (id: string) => {
+    const target = prompts.find((p) => p.id === id);
+    if (!target) return;
+    setEditingId(id);
+    setTitle(target.title);
+    setContent(target.content);
+  };
+
+  const handleDelete = async (id: string) => {
+    try {
+      await deletePrompt.mutateAsync(id);
+      if (editingId === id) resetForm();
+    } catch (err) {
+      toast.error(err instanceof Error ? err.message : String(err));
+    }
+  };
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(next) => {
+        if (!next) resetForm();
+        onOpenChange(next);
+      }}
+    >
+      <DialogContent className="max-h-[85vh] overflow-y-auto sm:max-w-xl">
+        <DialogHeader>
+          <DialogTitle>管理常用提示词</DialogTitle>
+          <DialogDescription>
+            保存常用的提示词，保存后会以小标签形式显示在输入框上方，点击即可填入。提示词与你的账号绑定，可跨设备使用。
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="space-y-3 rounded-md border p-3">
+          <Input
+            value={title}
+            onChange={(e) => setTitle(e.target.value)}
+            placeholder="名称（可选，例如：周报总结）"
+          />
+          <Textarea
+            value={content}
+            onChange={(e) => setContent(e.target.value)}
+            placeholder="提示词内容"
+            className="min-h-28"
+          />
+          <div className="flex justify-end gap-2">
+            {editingId && (
+              <Button variant="outline" size="sm" onClick={resetForm} disabled={saving}>
+                取消编辑
+              </Button>
+            )}
+            <Button size="sm" onClick={handleSubmit} disabled={saving}>
+              {editingId ? "保存修改" : "添加提示词"}
+            </Button>
+          </div>
+        </div>
+
+        <div className="space-y-2">
+          {prompts.length === 0 ? (
+            <p className="text-muted-foreground py-4 text-center text-sm">
+              暂无常用提示词
+            </p>
+          ) : (
+            prompts.map((prompt) => (
+              <div
+                key={prompt.id}
+                className="flex items-start justify-between gap-2 rounded-md border p-3"
+              >
+                <div className="min-w-0 flex-1">
+                  <p className="truncate text-sm font-medium">
+                    {prompt.title || "未命名提示词"}
+                  </p>
+                  <p className="text-muted-foreground mt-0.5 line-clamp-2 text-xs whitespace-pre-wrap">
+                    {prompt.content}
+                  </p>
+                </div>
+                <div className="flex shrink-0 items-center gap-1">
+                  <Button
+                    size="icon"
+                    variant="ghost"
+                    className="h-8 w-8"
+                    onClick={() => handleEdit(prompt.id)}
+                    title="编辑"
+                  >
+                    <PencilIcon className="h-3.5 w-3.5" />
+                  </Button>
+                  <Button
+                    size="icon"
+                    variant="ghost"
+                    className="text-destructive hover:text-destructive h-8 w-8"
+                    onClick={() => void handleDelete(prompt.id)}
+                    title="删除"
+                  >
+                    <Trash2Icon className="h-3.5 w-3.5" />
+                  </Button>
+                </div>
+              </div>
+            ))
+          )}
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}

frontend-web/src/components/workspace/input-box.tsx

@@ -87,13 +87,14 @@ import {
 } from "../ui/dropdown-menu";
 
 import { useRecommendedQuestions } from "@/core/recommended-questions/hooks";
-import {
-  isThreadRagModeLocked,
-  lockThreadRagMode,
-  useLocalSettings,
-} from "@/core/settings";
+import {
+  isThreadRagModeLocked,
+  lockThreadRagMode,
+  useLocalSettings,
+} from "@/core/settings";
 
 
+import { CustomPromptBar } from "./custom-prompt-menu";
 import { useThread } from "./messages/context";
 import { ModeHoverGuide } from "./mode-hover-guide";
 import { Tooltip } from "./tooltip";
@@ -304,14 +305,14 @@ export function InputBox({
     });
   }, [context, memoryInjectionEnabled, onContextChange]);
 
-  const ragModeLocked = isThreadRagModeLocked(threadId);
-  const ragModeEnabled = localSettings.display.ragModeEnabled || ragModeLocked;
-  const handleRagModeToggle = useCallback(() => {
-    if (ragModeLocked) {
-      return;
-    }
-    setLocalSettings("display", { ragModeEnabled: !ragModeEnabled });
-  }, [ragModeEnabled, ragModeLocked, setLocalSettings]);
+  const ragModeLocked = isThreadRagModeLocked(threadId);
+  const ragModeEnabled = localSettings.display.ragModeEnabled || ragModeLocked;
+  const handleRagModeToggle = useCallback(() => {
+    if (ragModeLocked) {
+      return;
+    }
+    setLocalSettings("display", { ragModeEnabled: !ragModeEnabled });
+  }, [ragModeEnabled, ragModeLocked, setLocalSettings]);
 
   const handleSubmit = useCallback(
     async (message: PromptInputMessage) => {
@@ -324,12 +325,12 @@ export function InputBox({
       }
       setFollowups([]);
       setFollowupsHidden(false);
-      setFollowupsLoading(false);
-      if (ragModeEnabled) {
-        lockThreadRagMode(threadId);
-      }
-
-      // Guard against submitting before the initial model auto-selection
+      setFollowupsLoading(false);
+      if (ragModeEnabled) {
+        lockThreadRagMode(threadId);
+      }
+
+      // Guard against submitting before the initial model auto-selection
       // effect has flushed thread settings to storage/state.
       if (resolvedModelName && context.model_name !== resolvedModelName) {
         onContextChange?.({
@@ -351,13 +352,13 @@ export function InputBox({
       onContextChange,
       onSubmit,
       onStop,
-      resolvedModelName,
-      ragModeEnabled,
-      selectedModel?.supports_thinking,
-      status,
-      threadId,
-    ],
-  );
+      resolvedModelName,
+      ragModeEnabled,
+      selectedModel?.supports_thinking,
+      status,
+      threadId,
+    ],
+  );
 
   const requestFormSubmit = useCallback(() => {
     const form = promptRootRef.current?.querySelector("form");
@@ -559,6 +560,21 @@ export function InputBox({
           </div>
         </div>
       )}
+      <div className="flex flex-col gap-1.5">
+      {isNewThread && (
+        <CustomPromptBar
+          className="px-1"
+          onInsert={(content) => {
+            const current = textInput.value?.trim() ?? "";
+            textInput.setInput(current ? `${current}\n${content}` : content);
+            setTimeout(() => {
+              document
+                .querySelector<HTMLTextAreaElement>("textarea[name='message']")
+                ?.focus();
+            }, 0);
+          }}
+        />
+      )}
       <div className={cn(isNewThread && "gemini-gradient-border gemini-shadow")}>
       <PromptInput
         className={cn(
@@ -651,13 +667,13 @@ export function InputBox({
               }
             >
               <PromptInputButton
-                type="button"
-                aria-pressed={ragModeEnabled}
-                disabled={ragModeLocked || disabled}
-                className={cn(
-                  "gap-1.5! rounded-full px-3! shadow-none",
-                  ragModeLocked && "cursor-not-allowed opacity-80",
-                  ragModeEnabled
+                type="button"
+                aria-pressed={ragModeEnabled}
+                disabled={ragModeLocked || disabled}
+                className={cn(
+                  "gap-1.5! rounded-full px-3! shadow-none",
+                  ragModeLocked && "cursor-not-allowed opacity-80",
+                  ragModeEnabled
                     ? "border border-emerald-300 bg-emerald-50 text-emerald-700 hover:bg-emerald-100 dark:border-emerald-700 dark:bg-emerald-950/40 dark:text-emerald-200"
                     : "border-0 bg-transparent text-muted-foreground hover:bg-muted/70 hover:text-foreground dark:text-slate-400 dark:hover:bg-slate-700/70 dark:hover:text-slate-100",
                 )}
@@ -1045,6 +1061,7 @@ export function InputBox({
         )}
       </PromptInput>
       </div>
+      </div>
 
       <Dialog open={confirmOpen} onOpenChange={setConfirmOpen}>
         <DialogContent>

frontend-web/src/components/workspace/skill-display-adapter-panel.tsx

@@ -35,6 +35,7 @@ const fieldLabels: Array<[keyof SkillDisplayConfig, string]> = [
   ["summaryField", "摘要字段"],
   ["contentField", "正文内容字段"],
   ["sourceField", "来源字段"],
+  ["authorField", "作者字段"],
   ["typeField", "类型字段"],
   ["timeField", "时间字段"],
   ["scoreField", "相关度字段"],

frontend-web/src/components/workspace/skill-display-block.tsx

@@ -99,7 +99,7 @@ function SourceDetailDialog({
 }) {
   const content = source?.content || source?.snippet;
   const meta = source
-    ? [source.source, source.type, source.time].filter(Boolean)
+    ? [source.source, source.author ? `作者 ${source.author}` : null, source.type, source.time].filter(Boolean)
     : [];
 
   return (

frontend-web/src/components/workspace/skill-display-sources.tsx

@@ -66,12 +66,13 @@ export function SourceCard({
       : null;
   const meta = [
     source.source,
+    source.author ? `作者 ${source.author}` : null,
     source.type && source.type !== "result" ? source.type : null,
     source.time,
     score ? `相关度 ${score}` : null,
   ].filter(Boolean);
   const isCitation = source.mode === "citation";
-  const showReferenceNumber = referenceTarget || isCitation;
+  const showReferenceNumber = isCitation;
 
   return (
     <>

frontend-web/src/core/agents/api.ts

@@ -96,6 +96,26 @@ export async function getAgentSelector(): Promise<AgentSelectorResponse> {
   return res.json() as Promise<AgentSelectorResponse>;
 }
 
+export async function favoriteAgent(id: string): Promise<void> {
+  const res = await apiFetch(`${getBackendBaseURL()}/api/agents/${id}/favorite`, {
+    method: "POST",
+  });
+  if (!res.ok) {
+    const err = (await res.json().catch(() => ({}))) as { detail?: string };
+    throw new Error(err.detail ?? `Failed to favorite agent: ${res.statusText}`);
+  }
+}
+
+export async function unfavoriteAgent(id: string): Promise<void> {
+  const res = await apiFetch(`${getBackendBaseURL()}/api/agents/${id}/favorite`, {
+    method: "DELETE",
+  });
+  if (!res.ok) {
+    const err = (await res.json().catch(() => ({}))) as { detail?: string };
+    throw new Error(err.detail ?? `Failed to unfavorite agent: ${res.statusText}`);
+  }
+}
+
 export async function reorderFeaturedAgents(agentIds: string[]): Promise<void> {
   const res = await apiFetch(
     `${getBackendBaseURL()}/api/agents/featured/order`,

frontend-web/src/core/agents/hooks.ts

@@ -9,6 +9,7 @@ import {
   adminSyncAgentSkills,
   createAgent,
   deleteAgent,
+  favoriteAgent,
   getAgent,
   getAgentSelector,
   listAgents,
@@ -17,6 +18,7 @@ import {
   reorderFeaturedAgents,
   setAgentFeatured,
   setAgentPrivate,
+  unfavoriteAgent,
   updateAgent,
 } from "./api";
 import type { Agent, CreateAgentRequest, UpdateAgentRequest } from "./types";
@@ -112,6 +114,34 @@ export function useDeleteAgent() {
   });
 }
 
+/** Toggle a user's favorite (收藏) on an agent, with an optimistic flip of
+ * ``is_favorite`` across every cached agent listing + detail so the star
+ * reacts instantly before the round-trip completes. */
+export function useToggleAgentFavorite() {
+  const queryClient = useQueryClient();
+  return useMutation({
+    mutationFn: ({ id, favorite }: { id: string; favorite: boolean }) =>
+      favorite ? favoriteAgent(id) : unfavoriteAgent(id),
+    onMutate: ({ id, favorite }) => {
+      queryClient.setQueriesData<Agent[] | undefined>(
+        { queryKey: ["agents"] },
+        (old) =>
+          Array.isArray(old)
+            ? old.map((a) =>
+                a.id === id ? { ...a, is_favorite: favorite } : a,
+              )
+            : old,
+      );
+      queryClient.setQueryData<Agent | undefined>(["agents", id], (old) =>
+        old ? { ...old, is_favorite: favorite } : old,
+      );
+    },
+    onSettled: () => {
+      void queryClient.invalidateQueries({ queryKey: ["agents"] });
+    },
+  });
+}
+
 export function useAgentSelector() {
   const { data, isLoading, error } = useQuery({
     queryKey: ["agents", "selector"],

frontend-web/src/core/agents/types.ts

@@ -16,6 +16,8 @@ export interface Agent {
   skills?: string[] | null;
   tags?: Tag[];
   featured_order?: number | null;
+  /** Whether the current user has favorited (收藏) this agent. */
+  is_favorite?: boolean;
 }
 
 export interface AgentSelectorResponse {

frontend-web/src/core/chat-timestamps/index.ts

@@ -0,0 +1,105 @@
+import { useSyncExternalStore } from "react";
+
+/**
+ * Durable, browser-local record of when each chat question was asked, keyed by
+ * the message id. Captured at send time and reconciled to the server-assigned
+ * message id (see ``useThreadStream``), so the time survives reloads and does
+ * not depend on the backend round-tripping a timestamp on the message.
+ */
+
+const STORAGE_KEY = "deerflow.chat-ask-times";
+
+type TimeMap = Record<string, string>;
+
+function isBrowser(): boolean {
+  return typeof window !== "undefined";
+}
+
+let cache: TimeMap | null = null;
+const EMPTY: TimeMap = {};
+const listeners = new Set<() => void>();
+let storageBound = false;
+
+function readFromStorage(): TimeMap {
+  if (!isBrowser()) return EMPTY;
+  try {
+    const raw = localStorage.getItem(STORAGE_KEY);
+    if (!raw) return {};
+    const parsed = JSON.parse(raw) as unknown;
+    return parsed && typeof parsed === "object" ? (parsed as TimeMap) : {};
+  } catch {
+    return {};
+  }
+}
+
+function getSnapshot(): TimeMap {
+  if (cache === null) cache = readFromStorage();
+  return cache;
+}
+
+function getServerSnapshot(): TimeMap {
+  return EMPTY;
+}
+
+function commit(next: TimeMap): void {
+  cache = next;
+  if (isBrowser()) {
+    try {
+      localStorage.setItem(STORAGE_KEY, JSON.stringify(next));
+    } catch {
+      // Keep the in-memory cache even if persistence fails.
+    }
+  }
+  for (const listener of listeners) listener();
+}
+
+function subscribe(listener: () => void): () => void {
+  listeners.add(listener);
+  if (isBrowser() && !storageBound) {
+    storageBound = true;
+    window.addEventListener("storage", (event) => {
+      if (event.key === STORAGE_KEY || event.key === null) {
+        cache = readFromStorage();
+        for (const l of listeners) l();
+      }
+    });
+  }
+  return () => {
+    listeners.delete(listener);
+  };
+}
+
+/** Record the ask time for a message id. First write wins (the true ask time). */
+export function rememberAskTime(messageId: string, iso: string): void {
+  if (!messageId) return;
+  const current = getSnapshot();
+  if (current[messageId]) return;
+  commit({ ...current, [messageId]: iso });
+}
+
+export function getAskTime(messageId: string): string | undefined {
+  return getSnapshot()[messageId];
+}
+
+/**
+ * Record several message times at once (first write wins per id). Used to stamp
+ * a freshly loaded/streamed batch of messages in a single commit so a long
+ * conversation doesn't trigger one storage write + re-render per message.
+ */
+export function rememberAskTimes(entries: Record<string, string>): void {
+  const current = getSnapshot();
+  let changed = false;
+  const next: TimeMap = { ...current };
+  for (const [id, iso] of Object.entries(entries)) {
+    if (id && !next[id]) {
+      next[id] = iso;
+      changed = true;
+    }
+  }
+  if (changed) commit(next);
+}
+
+/** Reactive map of messageId → ISO ask time. */
+export function useChatAskTimes(): TimeMap {
+  return useSyncExternalStore(subscribe, getSnapshot, getServerSnapshot);
+}

frontend-web/src/core/custom-prompts/index.ts

@@ -0,0 +1,112 @@
+import { useMutation, useQuery, useQueryClient } from "@tanstack/react-query";
+
+import { apiFetch } from "@/core/api";
+import { getBackendBaseURL } from "@/core/config";
+
+/** A user-defined reusable prompt, bound to the account (stored server-side). */
+export interface CustomPrompt {
+  id: string;
+  title: string;
+  content: string;
+  sort_order?: number;
+  created_at?: string | null;
+  updated_at?: string | null;
+}
+
+const QUERY_KEY = ["user-prompts"] as const;
+const EMPTY_PROMPTS: CustomPrompt[] = [];
+const baseUrl = () => `${getBackendBaseURL()}/api/user-prompts`;
+
+async function listUserPrompts(): Promise<CustomPrompt[]> {
+  const res = await apiFetch(baseUrl());
+  if (!res.ok) throw new Error(`Failed to load prompts: ${res.statusText}`);
+  const data = (await res.json()) as { prompts: CustomPrompt[] };
+  return data.prompts;
+}
+
+async function createUserPrompt(input: {
+  title: string;
+  content: string;
+}): Promise<CustomPrompt> {
+  const res = await apiFetch(baseUrl(), {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify(input),
+  });
+  if (!res.ok) {
+    const err = (await res.json().catch(() => ({}))) as { detail?: string };
+    throw new Error(err.detail ?? `Failed to create prompt: ${res.statusText}`);
+  }
+  return res.json() as Promise<CustomPrompt>;
+}
+
+async function updateUserPrompt(
+  id: string,
+  input: { title?: string; content?: string },
+): Promise<CustomPrompt> {
+  const res = await apiFetch(`${baseUrl()}/${encodeURIComponent(id)}`, {
+    method: "PUT",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify(input),
+  });
+  if (!res.ok) {
+    const err = (await res.json().catch(() => ({}))) as { detail?: string };
+    throw new Error(err.detail ?? `Failed to update prompt: ${res.statusText}`);
+  }
+  return res.json() as Promise<CustomPrompt>;
+}
+
+async function deleteUserPrompt(id: string): Promise<void> {
+  const res = await apiFetch(`${baseUrl()}/${encodeURIComponent(id)}`, {
+    method: "DELETE",
+  });
+  if (!res.ok) {
+    const err = (await res.json().catch(() => ({}))) as { detail?: string };
+    throw new Error(err.detail ?? `Failed to delete prompt: ${res.statusText}`);
+  }
+}
+
+/** Reactive list of the current user's saved prompts (server-backed). */
+export function useCustomPrompts(): CustomPrompt[] {
+  const { data } = useQuery({
+    queryKey: QUERY_KEY,
+    queryFn: listUserPrompts,
+  });
+  return data ?? EMPTY_PROMPTS;
+}
+
+export function useCreateCustomPrompt() {
+  const queryClient = useQueryClient();
+  return useMutation({
+    mutationFn: createUserPrompt,
+    onSuccess: () => {
+      void queryClient.invalidateQueries({ queryKey: QUERY_KEY });
+    },
+  });
+}
+
+export function useUpdateCustomPrompt() {
+  const queryClient = useQueryClient();
+  return useMutation({
+    mutationFn: ({
+      id,
+      input,
+    }: {
+      id: string;
+      input: { title?: string; content?: string };
+    }) => updateUserPrompt(id, input),
+    onSuccess: () => {
+      void queryClient.invalidateQueries({ queryKey: QUERY_KEY });
+    },
+  });
+}
+
+export function useDeleteCustomPrompt() {
+  const queryClient = useQueryClient();
+  return useMutation({
+    mutationFn: deleteUserPrompt,
+    onSuccess: () => {
+      void queryClient.invalidateQueries({ queryKey: QUERY_KEY });
+    },
+  });
+}

frontend-web/src/core/messages/search-results.ts

@@ -16,6 +16,7 @@ export type SearchResultItem = {
   snippet?: string;
   content?: string;
   source?: string;
+  author?: string;
   published_date?: string;
   publishedDate?: string;
   date?: string;
@@ -111,6 +112,15 @@ const SOURCE_ALIASES = [
   "kb",
 ] as const;
 
+const AUTHOR_ALIASES = [
+  "author",
+  "authors",
+  "creator",
+  "writer",
+  "byline",
+  "owner",
+] as const;
+
 const DATE_ALIASES = [
   "published_date",
   "publishedDate",
@@ -131,6 +141,8 @@ const CONTENT_KEY_PATTERN =
 const URL_KEY_PATTERN = /(?:^|_)(?:url|href|link|uri)(?:$|_)/i;
 const SOURCE_KEY_PATTERN =
   /(?:^|_)(?:source|origin|site|publisher|domain|from|channel|database|kb)(?:$|_)/i;
+const AUTHOR_KEY_PATTERN =
+  /(?:^|_)(?:author|authors|creator|writer|byline|owner)(?:$|_)/i;
 const DATE_KEY_PATTERN =
   /(?:^|_)(?:date|time|published|publish|created|updated)(?:$|_)/i;
 
@@ -301,6 +313,12 @@ function normalizeSearchResultItem(raw: unknown): SearchResultItem | null {
       excludeUrl: true,
       maxLength: 120,
     });
+  const author =
+    pickFromLayers(layers, AUTHOR_ALIASES) ??
+    pickByKeyPattern(layers, AUTHOR_KEY_PATTERN, {
+      excludeUrl: true,
+      maxLength: 120,
+    });
   const date =
     pickFromLayers(layers, DATE_ALIASES) ??
     pickByKeyPattern(layers, DATE_KEY_PATTERN, { maxLength: 64 });
@@ -310,7 +328,7 @@ function normalizeSearchResultItem(raw: unknown): SearchResultItem | null {
   const docId = pickFromLayers(layers, ["docId", "doc_id", "documentId"]);
 
   const reserved = new Set<string>();
-  for (const value of [title, content, url, source, date]) {
+  for (const value of [title, content, url, source, author, date]) {
     if (value) {
       reserved.add(value);
     }
@@ -341,6 +359,7 @@ function normalizeSearchResultItem(raw: unknown): SearchResultItem | null {
     snippet: content,
     content,
     source,
+    author,
     published_date: date,
     publishedDate: date,
     date,

frontend-web/src/core/scheduled-tasks/api.ts

@@ -51,6 +51,7 @@ export async function createScheduledTask(data: {
   schedule: string;
   timezone?: string | null;
   execution_agent_name?: string | null;
+  require_markdown?: boolean;
 }) {
   return parseResponse<ScheduledTask>(
     await apiFetch(baseUrl(), {
@@ -210,6 +211,7 @@ export async function updateScheduledTask(
     timezone: string;
     enabled: boolean;
     execution_agent_name: string | null;
+    require_markdown: boolean;
   }>,
 ) {
   return parseResponse<ScheduledTask>(
@@ -337,6 +339,7 @@ export async function adminUpdateScheduledTask(
     timezone: string;
     enabled: boolean;
     execution_agent_name: string | null;
+    require_markdown: boolean;
   }>,
 ) {
   return parseResponse<ScheduledTask>(

frontend-web/src/core/scheduled-tasks/types.ts

@@ -20,6 +20,12 @@ export type ScheduledTask = {
   cron_expr: string;
   timezone: string;
   enabled: boolean;
+  /**
+   * Free-form execution context persisted with the task. ``require_markdown``
+   * lives here (rather than a dedicated column) so the feature needs no schema
+   * migration.
+   */
+  execution_context?: { require_markdown?: boolean; [key: string]: unknown } | null;
   next_run_at?: string | null;
   last_run_at?: string | null;
   last_status?: string | null;

frontend-web/src/core/skill-display/display-adapter.ts

@@ -10,6 +10,7 @@ export interface DisplaySourceItem {
   type: string;
   snippet: string;
   source?: string;
+  author?: string;
   time?: string;
   url?: string;
   content?: string;
@@ -25,6 +26,7 @@ export const emptyDisplayConfig = (): SkillDisplayConfig => ({
   summaryField: null,
   contentField: null,
   sourceField: null,
+  authorField: null,
   typeField: null,
   timeField: null,
   scoreField: null,
@@ -43,6 +45,7 @@ const candidateFields: Record<string, string[]> = {
   summaryField: ["summary", "snippet", "content_preview", "description", "abstract"],
   contentField: ["content", "page_content", "text", "content_preview", "body"],
   sourceField: ["source", "source_name", "site", "from", "origin"],
+  authorField: ["author", "authors", "creator", "writer", "byline", "publisher", "owner"],
   typeField: ["type", "category", "source_category", "source1"],
   timeField: ["publish_time", "m_publish", "updatedAt", "createdAt", "date", "time"],
   scoreField: ["relevance_score", "rerank_score", "score", "similarity"],
@@ -107,6 +110,7 @@ export function inferDisplayConfig(samplePayload: unknown, skillName?: string):
     inferred.summaryField = inferred.summaryField || "content_preview";
     inferred.contentField = inferred.contentField || "content_preview";
     inferred.sourceField = inferred.sourceField || "source";
+    inferred.authorField = inferred.authorField || pickField(sample, candidateFields.authorField);
     inferred.typeField = inferred.typeField || "source_category";
     inferred.timeField = inferred.timeField || "publish_time";
     inferred.scoreField = inferred.scoreField || "relevance_score";
@@ -127,6 +131,7 @@ function buildDefaultTableColumns(
     config.titleField,
     config.typeField,
     config.sourceField,
+    config.authorField,
     config.timeField,
     config.scoreField,
   ].filter((field): field is string => !!field);
@@ -141,6 +146,16 @@ function buildDefaultTableColumns(
 
 function stringify(value: unknown, fallback = ""): string {
   if (value === null || value === undefined) return fallback;
+  if (Array.isArray(value)) {
+    const parts = value
+      .map((item) =>
+        typeof item === "string" || typeof item === "number" || typeof item === "boolean"
+          ? String(item).trim()
+          : "",
+      )
+      .filter(Boolean);
+    return parts.length > 0 ? parts.join("、") : fallback;
+  }
   return String(value);
 }
 
@@ -174,6 +189,7 @@ export function normalizeDisplaySources(payload: unknown, config: SkillDisplayCo
       snippet: config.summaryField ? stringify(item[config.summaryField]) : "",
       content: config.contentField ? stringify(item[config.contentField]) : undefined,
       source: config.sourceField ? stringify(item[config.sourceField]) : undefined,
+      author: config.authorField ? stringify(item[config.authorField]) : undefined,
       time: config.timeField ? stringify(item[config.timeField]) : undefined,
       score:
         config.scoreField && typeof item[config.scoreField] === "number"

frontend-web/src/core/skill-display/runtime.ts

@@ -499,6 +499,7 @@ export function normalizeDefaultDisplaySources(payload: unknown): DisplaySourceI
     snippet: item.snippet ?? item.content ?? "",
     content: item.content ?? item.snippet,
     source: item.source,
+    author: item.author,
     time: item.published_date ?? item.publishedDate ?? item.date,
     url: item.url,
     raw: item as unknown as Record<string, unknown>,

frontend-web/src/core/skills/type.ts

@@ -20,6 +20,7 @@ export interface SkillDisplayConfig {
   summaryField?: string | null;
   contentField?: string | null;
   sourceField?: string | null;
+  authorField?: string | null;
   typeField?: string | null;
   timeField?: string | null;
   scoreField?: string | null;

frontend-web/src/core/threads/hooks.ts

@@ -11,6 +11,7 @@ import type { PromptInputMessage } from "@/components/ai-elements/prompt-input";
 import { getAPIClient } from "../api";
 import { apiFetch } from "../api";
 import { getStoredAuth } from "../auth";
+import { rememberAskTime } from "../chat-timestamps";
 import { getBackendBaseURL } from "../config";
 import { useI18n } from "../i18n/hooks";
 import type { FileInMessage } from "../messages/utils";
@@ -378,6 +379,13 @@ export function useThreadStream({
   const [optimisticMessages, setOptimisticMessages] = useState<Message[]>([]);
   const [isUploading, setIsUploading] = useState(false);
   const sendInFlightRef = useRef(false);
+  // Carries the ask time of an in-flight send until the server-assigned human
+  // message id shows up, so we can bind the timestamp to the real id (see the
+  // reconciliation effect below). ``known`` is the set of human ids that
+  // already existed at send time, used to spot the newly-arrived one.
+  const pendingAskTimeRef = useRef<{ ts: string; known: Set<string> } | null>(
+    null,
+  );
   // Track message count before sending so we know when server has responded
   const prevMsgCountRef = useRef(thread.messages.length);
 
@@ -429,6 +437,26 @@ export function useThreadStream({
     }
   }, [thread.messages.length, optimisticMessages.length]);
 
+  // Bind a just-sent question's ask time to the server-assigned human message
+  // id once it appears. Persists to localStorage so the time shows on every
+  // question and survives reloads, independent of the backend echoing it back.
+  useEffect(() => {
+    const pending = pendingAskTimeRef.current;
+    if (!pending) return;
+    for (const message of thread.messages) {
+      if (
+        message.type === "human" &&
+        message.id &&
+        !message.id.startsWith("opt-") &&
+        !pending.known.has(message.id)
+      ) {
+        rememberAskTime(message.id, pending.ts);
+        pendingAskTimeRef.current = null;
+        break;
+      }
+    }
+  }, [thread.messages]);
+
   const sendMessage = useCallback(
     async (
       threadId: string,
@@ -442,6 +470,20 @@ export function useThreadStream({
       sendInFlightRef.current = true;
 
       const text = message.text.trim();
+      // Wall-clock time the question was asked. Stored on the human message so
+      // the chat can show "几点提问" and have it survive a reload (it round-trips
+      // through the checkpoint inside additional_kwargs, same as `files`).
+      const clientTs = new Date().toISOString();
+      // Remember which human messages already exist so the reconciliation
+      // effect can bind ``clientTs`` to the new one once the server returns it.
+      pendingAskTimeRef.current = {
+        ts: clientTs,
+        known: new Set(
+          thread.messages
+            .filter((m) => m.type === "human" && m.id)
+            .map((m) => m.id as string),
+        ),
+      };
 
       // Capture current count before showing optimistic messages
       prevMsgCountRef.current = thread.messages.length;
@@ -458,6 +500,7 @@ export function useThreadStream({
       const hideFromUI = options?.additionalKwargs?.hide_from_ui === true;
       const optimisticAdditionalKwargs = {
         ...options?.additionalKwargs,
+        client_ts: clientTs,
         ...(optimisticFiles.length > 0 ? { files: optimisticFiles } : {}),
       };
 
@@ -535,7 +578,10 @@ export function useThreadStream({
                   return [
                     {
                       ...humanMessage,
-                      additional_kwargs: { files: uploadedFiles },
+                      additional_kwargs: {
+                        ...humanMessage.additional_kwargs,
+                        files: uploadedFiles,
+                      },
                     },
                     ...messages.slice(1),
                   ];
@@ -585,6 +631,7 @@ export function useThreadStream({
                 ],
                 additional_kwargs: {
                   ...options?.additionalKwargs,
+                  client_ts: clientTs,
                   ...(filesForSubmit.length > 0
                     ? { files: filesForSubmit }
                     : {}),

frontend-web/src/pages/ScheduledTasksPage.tsx

@@ -84,6 +84,7 @@ const emptyForm = {
   timezone: "Asia/Shanghai",
   prompt: "",
   execution_agent_name: "",
+  require_markdown: false,
 };
 
 export default function ScheduledTasksPage() {
@@ -173,6 +174,7 @@ export default function ScheduledTasksPage() {
       timezone: task.timezone,
       prompt: task.prompt,
       execution_agent_name: task.execution_agent_name ?? "",
+      require_markdown: !!task.execution_context?.require_markdown,
     });
     // Prefer the canonical cron_expr over the user-typed schedule_text: the
     // latter may be natural language ("每天9点") that parseCron can't read,
@@ -202,6 +204,7 @@ export default function ScheduledTasksPage() {
           timezone: form.timezone || "Asia/Shanghai",
           prompt: form.prompt,
           execution_agent_name: form.execution_agent_name || null,
+          require_markdown: form.require_markdown,
         });
         setSelectedTaskId(task.task_id);
         toast.success("任务已创建");
@@ -215,6 +218,7 @@ export default function ScheduledTasksPage() {
             timezone: form.timezone,
             prompt: form.prompt,
             execution_agent_name: form.execution_agent_name || null,
+            require_markdown: form.require_markdown,
           },
         });
         toast.success("任务已更新");
@@ -825,6 +829,20 @@ export default function ScheduledTasksPage() {
               }
               placeholder="任务 Prompt"
             />
+            <div className="flex items-center justify-between rounded-md border p-3">
+              <div className="min-w-0 pr-3">
+                <p className="text-sm font-medium">必须生成 Markdown 文件</p>
+                <p className="text-muted-foreground text-xs">
+                  开启后会提示大模型生成 Markdown(.md) 文件；系统会校验本次是否生成了 .md 文件且文件正文超过 100 字，未达到则记为失败。
+                </p>
+              </div>
+              <Switch
+                checked={form.require_markdown}
+                onCheckedChange={(v) =>
+                  setForm((value) => ({ ...value, require_markdown: v }))
+                }
+              />
+            </div>
           </div>
           <DialogFooter>
             <Button variant="outline" onClick={closeDialog}>

offline-backend-20260512/backend/app/gateway/app.py

@@ -53,6 +53,7 @@ from app.gateway.routers import (
     thread_shares,
     threads,
     uploads,
+    user_prompts,
     writing,
 )
 from deerflow.config import app_config as deerflow_app_config
@@ -806,6 +807,8 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
     # Recommended Questions API is mounted at /api/recommended-questions
     app.include_router(recommended_questions.router)
 
+    app.include_router(user_prompts.router)
+
     # Suggestions API is mounted at /api/threads/{thread_id}/suggestions
     app.include_router(suggestions.router)
 

offline-backend-20260512/backend/app/gateway/deps.py

@@ -148,6 +148,10 @@ async def langgraph_runtime(app: FastAPI) -> AsyncGenerator[None, None]:
 
         app.state.memory_config_store = make_user_memory_config_store(sf)
 
+        from deerflow.persistence.user_prompts import make_user_prompt_store
+
+        app.state.user_prompt_store = make_user_prompt_store(sf)
+
         # Run event store (has its own factory with config-driven backend selection)
         run_events_config = getattr(config, "run_events", None)
         app.state.run_event_store = make_run_event_store(run_events_config)

offline-backend-20260512/backend/app/gateway/routers/agents.py

@@ -58,6 +58,11 @@ class AgentResponse(BaseModel):
         description="Admin-curated homepage rank. Null = not featured. Lower sorts first.",
     )
 
+    is_favorite: bool = Field(
+        default=False,
+        description="Whether the requesting user has favorited (收藏) this agent.",
+    )
+
 
 class AgentsListResponse(BaseModel):
     """Response model for listing all visible agents."""
@@ -355,8 +360,10 @@ async def list_agents(
         responses = [_record_to_response(a, include_soul=True) for a in agents]
 
         assignments = await tag_store.list_assignments("agent", [r.id for r in responses])
+        favorite_ids = await store.list_favorite_ids(user_id)
         for resp in responses:
             resp.tags = assignments.get(resp.id, [])
+            resp.is_favorite = resp.id in favorite_ids
         if search:
             needle = search.strip().lower()
             responses = [r for r in responses if needle in r.name.lower()]
@@ -425,7 +432,10 @@ async def get_agent(agent_id: str, request: Request) -> AgentResponse:
         record = await store.get_visible(agent_id, user_id)
         if record is None:
             raise HTTPException(status_code=404, detail=f"Agent '{agent_id}' not found")
-        return _record_to_response(record, include_soul=True)
+        response = _record_to_response(record, include_soul=True)
+        favorite_ids = await store.list_favorite_ids(user_id)
+        response.is_favorite = agent_id in favorite_ids
+        return response
     except HTTPException:
         raise
     except Exception as e:
@@ -652,6 +662,10 @@ async def delete_agent(agent_id: str, request: Request) -> None:
             await get_tag_store(request).unassign_all("agent", agent_id)
         except Exception:  # noqa: BLE001 — tag cleanup must not block deletion
             pass
+        try:
+            await store.delete_favorites_for_agent(agent_id)
+        except Exception:  # noqa: BLE001 — favorite cleanup must not block deletion
+            pass
         logger.info("Deleted agent '%s' from %s", agent_id, agent_dir)
     except HTTPException:
         raise
@@ -660,6 +674,53 @@ async def delete_agent(agent_id: str, request: Request) -> None:
         raise HTTPException(status_code=500, detail=f"Failed to delete agent: {str(e)}") from e
 
 
+@router.post(
+    "/agents/{agent_id}/favorite",
+    status_code=204,
+    summary="Favorite Agent",
+    description="Bookmark a visible agent into the current user's 我的 tab. Idempotent.",
+)
+async def favorite_agent(agent_id: str, request: Request) -> None:
+    _require_agents_api_enabled()
+    agent_id = _validate_storage_id(agent_id)
+
+    try:
+        store = get_agent_store(request)
+        user_id = _current_user_id(request)
+        record = await store.get_visible(agent_id, user_id)
+        if record is None:
+            raise HTTPException(status_code=404, detail=f"Agent '{agent_id}' not found")
+        await store.add_favorite(user_id, agent_id)
+        logger.info("User '%s' favorited agent '%s'", user_id, agent_id)
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error("Failed to favorite agent '%s': %s", agent_id, e, exc_info=True)
+        raise HTTPException(status_code=500, detail=f"Failed to favorite agent: {str(e)}") from e
+
+
+@router.delete(
+    "/agents/{agent_id}/favorite",
+    status_code=204,
+    summary="Unfavorite Agent",
+    description="Remove an agent from the current user's favorites. No-op when not favorited.",
+)
+async def unfavorite_agent(agent_id: str, request: Request) -> None:
+    _require_agents_api_enabled()
+    agent_id = _validate_storage_id(agent_id)
+
+    try:
+        store = get_agent_store(request)
+        user_id = _current_user_id(request)
+        await store.remove_favorite(user_id, agent_id)
+        logger.info("User '%s' unfavorited agent '%s'", user_id, agent_id)
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error("Failed to unfavorite agent '%s': %s", agent_id, e, exc_info=True)
+        raise HTTPException(status_code=500, detail=f"Failed to unfavorite agent: {str(e)}") from e
+
+
 @router.put(
     "/agents/{agent_id}/featured",
     response_model=AgentResponse,

offline-backend-20260512/backend/app/gateway/routers/scheduled_tasks.py

@@ -37,6 +37,10 @@ class ScheduledTaskCreateRequest(BaseModel):
     timezone: str | None = None
     execution_agent_name: str | None = None
     execution_context: dict[str, Any] | None = None
+    require_markdown: bool = Field(
+        default=False,
+        description="Require the result to be Markdown and exceed the minimum length, else mark the run failed.",
+    )
 
 
 class ScheduledTaskUpdateRequest(BaseModel):
@@ -48,6 +52,7 @@ class ScheduledTaskUpdateRequest(BaseModel):
     enabled: bool | None = None
     execution_agent_name: str | None = None
     execution_context: dict[str, Any] | None = None
+    require_markdown: bool | None = None
 
 
 class ScheduledTaskDeliveryProfileUpdateRequest(BaseModel):
@@ -555,6 +560,7 @@ async def create_scheduled_task(body: ScheduledTaskCreateRequest, request: Reque
             timezone=body.timezone,
             execution_agent_name=body.execution_agent_name,
             execution_context=body.execution_context,
+            require_markdown=body.require_markdown,
         )
     except DuplicateTaskNameError:
         raise HTTPException(status_code=409, detail="已存在同名定时任务,请换一个名称")

offline-backend-20260512/backend/app/gateway/routers/threads.py

@@ -35,6 +35,7 @@ from deerflow.runtime import serialize_channel_values
 from deerflow.runtime.references import (
     adapt_reference_batches_with_displays,
     build_reference_batches as build_runtime_reference_batches,
+    build_reference_debug_payload,
     build_reference_debug_summary,
 )
 from deerflow.runtime.user_context import get_effective_user_id
@@ -231,6 +232,7 @@ class ReferenceSourceResponse(BaseModel):
     type: str = "result"
     snippet: str = ""
     source: str | None = None
+    author: str | None = None
     time: str | None = None
     url: str | None = None
     content: str | None = None
@@ -843,7 +845,8 @@ async def get_thread_reference_batches(thread_id: str, request: Request) -> Refe
             _rag_debug_file_path(),
         )
         return ReferenceBatchesResponse(batches=[])
-    raw_batches = build_runtime_reference_batches(messages)
+    batches_before_display_adapt = build_runtime_reference_batches(messages)
+    raw_batches = batches_before_display_adapt
     persisted_displays = await _load_persisted_skill_displays()
     if persisted_displays:
         raw_batches = adapt_reference_batches_with_displays(raw_batches, persisted_displays)
@@ -866,6 +869,25 @@ async def get_thread_reference_batches(thread_id: str, request: Request) -> Refe
         json.dumps(debug_summary["turns_detail"], ensure_ascii=False),
         _rag_debug_file_path(),
     )
+    _log_rag_debug(
+        "backend reference-batches-payload thread=%s %s",
+        sanitize_log_param(thread_id),
+        json.dumps(
+            {
+                "display_adapter_names": sorted(persisted_displays.keys()),
+                "before_display_adapt": build_reference_debug_payload(
+                    messages=messages,
+                    batches=batches_before_display_adapt,
+                ),
+                "after_display_adapt": build_reference_debug_payload(
+                    messages=messages,
+                    batches=raw_batches,
+                ),
+            },
+            ensure_ascii=False,
+            default=str,
+        ),
+    )
     return ReferenceBatchesResponse(
         batches=[
             ReferenceBatchResponse(

offline-backend-20260512/backend/app/gateway/routers/user_prompts.py

@@ -0,0 +1,108 @@
+"""CRUD API for a user's personal custom prompts (常用提示词).
+
+Prompts are bound to the requesting user (not stored in the browser), so they
+follow the account across devices/sessions.
+"""
+
+from __future__ import annotations
+
+import logging
+from datetime import datetime
+from uuid import uuid4
+
+from fastapi import APIRouter, HTTPException, Request
+from pydantic import BaseModel, Field
+
+from deerflow.runtime.user_context import get_effective_user_id
+
+logger = logging.getLogger(__name__)
+router = APIRouter(prefix="/api/user-prompts", tags=["user-prompts"])
+
+
+class UserPromptResponse(BaseModel):
+    id: str
+    title: str = ""
+    content: str
+    sort_order: int = 0
+    created_at: datetime | str | None = None
+    updated_at: datetime | str | None = None
+
+
+class UserPromptsListResponse(BaseModel):
+    prompts: list[UserPromptResponse]
+
+
+class UserPromptCreateRequest(BaseModel):
+    title: str = Field(default="", max_length=255)
+    content: str = Field(..., min_length=1)
+    sort_order: int = Field(default=0)
+
+
+class UserPromptUpdateRequest(BaseModel):
+    title: str | None = Field(default=None, max_length=255)
+    content: str | None = Field(default=None, min_length=1)
+    sort_order: int | None = None
+
+
+def _current_user_id(request: Request) -> str:
+    user = getattr(request.state, "user", None)
+    if user is not None:
+        return str(user.id)
+    return get_effective_user_id()
+
+
+def _get_store(request: Request):
+    store = getattr(request.app.state, "user_prompt_store", None)
+    if store is None:
+        raise HTTPException(status_code=503, detail="User prompt store not available")
+    return store
+
+
+@router.get("", response_model=UserPromptsListResponse)
+async def list_user_prompts(request: Request) -> UserPromptsListResponse:
+    store = _get_store(request)
+    user_id = _current_user_id(request)
+    rows = await store.list_for_user(user_id)
+    return UserPromptsListResponse(prompts=[UserPromptResponse(**r) for r in rows])
+
+
+@router.post("", response_model=UserPromptResponse, status_code=201)
+async def create_user_prompt(request: Request, body: UserPromptCreateRequest) -> UserPromptResponse:
+    store = _get_store(request)
+    user_id = _current_user_id(request)
+    row = await store.create(
+        user_id,
+        {
+            "id": uuid4().hex,
+            "title": (body.title or "").strip(),
+            "content": body.content,
+            "sort_order": body.sort_order,
+        },
+    )
+    return UserPromptResponse(**row)
+
+
+@router.put("/{prompt_id}", response_model=UserPromptResponse)
+async def update_user_prompt(request: Request, prompt_id: str, body: UserPromptUpdateRequest) -> UserPromptResponse:
+    store = _get_store(request)
+    user_id = _current_user_id(request)
+    data: dict = {}
+    if body.title is not None:
+        data["title"] = body.title.strip()
+    if body.content is not None:
+        data["content"] = body.content
+    if body.sort_order is not None:
+        data["sort_order"] = body.sort_order
+    row = await store.update(prompt_id, user_id, data)
+    if row is None:
+        raise HTTPException(status_code=404, detail="Prompt not found")
+    return UserPromptResponse(**row)
+
+
+@router.delete("/{prompt_id}", status_code=204)
+async def delete_user_prompt(request: Request, prompt_id: str) -> None:
+    store = _get_store(request)
+    user_id = _current_user_id(request)
+    deleted = await store.delete(prompt_id, user_id)
+    if not deleted:
+        raise HTTPException(status_code=404, detail="Prompt not found")

offline-backend-20260512/backend/packages/harness/deerflow/agents/middlewares/rag_citation_middleware.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import json
 import logging
 import os
 from pathlib import Path
@@ -13,7 +14,11 @@ from langchain.agents.middleware import AgentMiddleware
 from langchain.agents.middleware.types import ModelCallResult, ModelRequest, ModelResponse
 from langchain_core.messages import SystemMessage
 
-from deerflow.runtime.references import build_latest_reference_prompt, build_reference_debug_summary
+from deerflow.runtime.references import (
+    build_latest_reference_prompt,
+    build_reference_debug_payload,
+    build_reference_debug_summary,
+)
 
 logger = logging.getLogger(__name__)
 _RAG_DEBUG_LOGGER_NAME = "rag_citation_debug"
@@ -84,6 +89,18 @@ class RagCitationMiddleware(AgentMiddleware[AgentState]):
             summary["kept_items"],
             len((batch or {}).get("sources") or []),
         )
+        _log_rag_debug(
+            "middleware reference-prompt-payload %s",
+            json.dumps(
+                build_reference_debug_payload(
+                    messages=messages,
+                    batch=batch,
+                    prompt=prompt,
+                ),
+                ensure_ascii=False,
+                default=str,
+            ),
+        )
         patched_messages = [
             *messages,
             SystemMessage(content=prompt),

offline-backend-20260512/backend/packages/harness/deerflow/config/extensions_config.py

@@ -75,6 +75,7 @@ class SkillDisplayConfig(BaseModel):
     summary_field: str | None = Field(default=None, description="Field used as short summary/snippet", alias="summaryField")
     content_field: str | None = Field(default=None, description="Field used as full item content", alias="contentField")
     source_field: str | None = Field(default=None, description="Field used as source label", alias="sourceField")
+    author_field: str | None = Field(default=None, description="Field used as author/byline label", alias="authorField")
     type_field: str | None = Field(default=None, description="Field used as source/type badge", alias="typeField")
     time_field: str | None = Field(default=None, description="Field used as publication/update time", alias="timeField")
     score_field: str | None = Field(default=None, description="Field used as relevance score", alias="scoreField")

offline-backend-20260512/backend/packages/harness/deerflow/persistence/agents/__init__.py

@@ -4,10 +4,11 @@ from __future__ import annotations
 
 from deerflow.persistence.agents.base import AgentStore
 from deerflow.persistence.agents.memory import MemoryAgentStore
-from deerflow.persistence.agents.model import AgentRow
+from deerflow.persistence.agents.model import AgentFavoriteRow, AgentRow
 from deerflow.persistence.agents.sql import AgentRepository
 
 __all__ = [
+    "AgentFavoriteRow",
     "AgentRepository",
     "AgentRow",
     "AgentStore",

offline-backend-20260512/backend/packages/harness/deerflow/persistence/agents/base.py

@@ -117,3 +117,25 @@ class AgentStore(ABC):
         ``False`` if the agent does not exist.
         """
         raise NotImplementedError
+
+    # --- Favorites ("收藏") ---
+
+    @abstractmethod
+    async def add_favorite(self, user_id: str, agent_id: str) -> None:
+        """Bookmark ``agent_id`` for ``user_id``. Idempotent."""
+        raise NotImplementedError
+
+    @abstractmethod
+    async def remove_favorite(self, user_id: str, agent_id: str) -> bool:
+        """Remove a bookmark. Returns ``False`` when none existed."""
+        raise NotImplementedError
+
+    @abstractmethod
+    async def list_favorite_ids(self, user_id: str) -> set[str]:
+        """Return the set of agent ids ``user_id`` has favorited."""
+        raise NotImplementedError
+
+    @abstractmethod
+    async def delete_favorites_for_agent(self, agent_id: str) -> None:
+        """Drop every user's favorite of ``agent_id`` (called on agent delete)."""
+        raise NotImplementedError

offline-backend-20260512/backend/packages/harness/deerflow/persistence/agents/memory.py

@@ -21,6 +21,7 @@ def _copy(data: dict[str, Any]) -> dict[str, Any]:
 class MemoryAgentStore(AgentStore):
     def __init__(self) -> None:
         self._agents: dict[str, dict[str, Any]] = {}
+        self._favorites: set[tuple[str, str]] = set()
 
     @staticmethod
     def _is_visible(agent: dict[str, Any], user_id: str) -> bool:
@@ -164,3 +165,20 @@ class MemoryAgentStore(AgentStore):
             return False
         self._agents.pop(agent_id, None)
         return True
+
+    # --- Favorites ("收藏") ---
+
+    async def add_favorite(self, user_id: str, agent_id: str) -> None:
+        self._favorites.add((user_id, agent_id))
+
+    async def remove_favorite(self, user_id: str, agent_id: str) -> bool:
+        if (user_id, agent_id) in self._favorites:
+            self._favorites.discard((user_id, agent_id))
+            return True
+        return False
+
+    async def list_favorite_ids(self, user_id: str) -> set[str]:
+        return {agent_id for (uid, agent_id) in self._favorites if uid == user_id}
+
+    async def delete_favorites_for_agent(self, agent_id: str) -> None:
+        self._favorites = {(uid, aid) for (uid, aid) in self._favorites if aid != agent_id}

offline-backend-20260512/backend/packages/harness/deerflow/persistence/agents/model.py

@@ -4,7 +4,7 @@ from __future__ import annotations
 
 from datetime import UTC, datetime
 
-from sqlalchemy import BigInteger, Boolean, String
+from sqlalchemy import BigInteger, Boolean, String, UniqueConstraint
 from sqlalchemy.orm import Mapped, mapped_column
 
 from deerflow.persistence.base import Base
@@ -35,3 +35,20 @@ class AgentRow(Base):
     featured_order: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True)
     created_at: Mapped[datetime] = mapped_column(BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC))
     updated_at: Mapped[datetime] = mapped_column(BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))
+
+
+class AgentFavoriteRow(Base):
+    """A user's bookmark of a (typically public-square) agent.
+
+    Lets a user collect agents from the 广场 (square) into their "我的" tab
+    without owning them. One row per (user, agent); the unique constraint makes
+    favoriting idempotent.
+    """
+
+    __tablename__ = "agent_favorites"
+    __table_args__ = (UniqueConstraint("user_id", "agent_id", name="uq_agent_favorites_user_agent"),)
+
+    id: Mapped[str] = mapped_column(String(64), primary_key=True)
+    user_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
+    agent_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
+    created_at: Mapped[datetime] = mapped_column(BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC))

offline-backend-20260512/backend/packages/harness/deerflow/persistence/agents/sql.py

@@ -4,12 +4,14 @@ from __future__ import annotations
 
 from datetime import UTC, datetime
 from typing import Any
+from uuid import uuid4
 
-from sqlalchemy import and_, func, or_, select
+from sqlalchemy import and_, delete, func, or_, select
+from sqlalchemy.exc import IntegrityError
 from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
 
 from deerflow.persistence.agents.base import AgentStore
-from deerflow.persistence.agents.model import AgentRow
+from deerflow.persistence.agents.model import AgentFavoriteRow, AgentRow
 
 
 def _row_to_dict(row: AgentRow) -> dict[str, Any]:
@@ -230,3 +232,47 @@ class AgentRepository(AgentStore):
             await session.delete(row)
             await session.commit()
             return True
+
+    # --- Favorites ("收藏") ---
+
+    async def add_favorite(self, user_id: str, agent_id: str) -> None:
+        async with self._sf() as session:
+            existing = (
+                await session.execute(
+                    select(AgentFavoriteRow.id)
+                    .where(AgentFavoriteRow.user_id == user_id, AgentFavoriteRow.agent_id == agent_id)
+                    .limit(1)
+                )
+            ).scalar_one_or_none()
+            if existing is not None:
+                return
+            session.add(AgentFavoriteRow(id=uuid4().hex, user_id=user_id, agent_id=agent_id))
+            try:
+                await session.commit()
+            except IntegrityError:
+                # Lost a race against a concurrent favorite of the same agent —
+                # the unique constraint already guarantees the desired state.
+                await session.rollback()
+
+    async def remove_favorite(self, user_id: str, agent_id: str) -> bool:
+        async with self._sf() as session:
+            result = await session.execute(
+                delete(AgentFavoriteRow).where(
+                    AgentFavoriteRow.user_id == user_id,
+                    AgentFavoriteRow.agent_id == agent_id,
+                )
+            )
+            await session.commit()
+            return (result.rowcount or 0) > 0
+
+    async def list_favorite_ids(self, user_id: str) -> set[str]:
+        async with self._sf() as session:
+            result = await session.execute(
+                select(AgentFavoriteRow.agent_id).where(AgentFavoriteRow.user_id == user_id)
+            )
+            return {row[0] for row in result.all()}
+
+    async def delete_favorites_for_agent(self, agent_id: str) -> None:
+        async with self._sf() as session:
+            await session.execute(delete(AgentFavoriteRow).where(AgentFavoriteRow.agent_id == agent_id))
+            await session.commit()

offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260528_01_agent_favorites.py

@@ -0,0 +1,45 @@
+"""Add ``agent_favorites`` for the agent collection (收藏) feature.
+
+Lets a user bookmark agents from the public square (广场) so they surface in
+their "我的" tab without owning them. One row per (user, agent).
+
+Revision ID: 20260528_01
+Revises: 20260526_01
+Create Date: 2026-05-28
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy import inspect
+
+
+revision = "20260528_01"
+down_revision = "20260526_01"
+branch_labels = None
+depends_on = None
+
+
+def _has_table(table_name: str) -> bool:
+    inspector = inspect(op.get_bind())
+    return table_name in inspector.get_table_names()
+
+
+def upgrade() -> None:
+    if not _has_table("agent_favorites"):
+        op.create_table(
+            "agent_favorites",
+            sa.Column("id", sa.String(64), primary_key=True),
+            sa.Column("user_id", sa.String(64), nullable=False),
+            sa.Column("agent_id", sa.String(64), nullable=False),
+            sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+            sa.UniqueConstraint("user_id", "agent_id", name="uq_agent_favorites_user_agent"),
+        )
+        op.create_index("ix_agent_favorites_user_id", "agent_favorites", ["user_id"])
+        op.create_index("ix_agent_favorites_agent_id", "agent_favorites", ["agent_id"])
+
+
+def downgrade() -> None:
+    if _has_table("agent_favorites"):
+        op.drop_table("agent_favorites")

offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260528_02_user_custom_prompts.py

@@ -0,0 +1,45 @@
+"""Add ``user_custom_prompts`` for per-user saved prompts (常用提示词).
+
+Bound to the user (not the browser) so prompts follow the account.
+
+Revision ID: 20260528_02
+Revises: 20260528_01
+Create Date: 2026-05-28
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy import inspect
+
+
+revision = "20260528_02"
+down_revision = "20260528_01"
+branch_labels = None
+depends_on = None
+
+
+def _has_table(table_name: str) -> bool:
+    inspector = inspect(op.get_bind())
+    return table_name in inspector.get_table_names()
+
+
+def upgrade() -> None:
+    if not _has_table("user_custom_prompts"):
+        op.create_table(
+            "user_custom_prompts",
+            sa.Column("id", sa.String(64), primary_key=True),
+            sa.Column("user_id", sa.String(64), nullable=False),
+            sa.Column("title", sa.String(255), nullable=False, server_default=""),
+            sa.Column("content", sa.Text(), nullable=False),
+            sa.Column("sort_order", sa.Integer(), nullable=False, server_default="0"),
+            sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+            sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
+        )
+        op.create_index("ix_user_custom_prompts_user_id", "user_custom_prompts", ["user_id"])
+
+
+def downgrade() -> None:
+    if _has_table("user_custom_prompts"):
+        op.drop_table("user_custom_prompts")

offline-backend-20260512/backend/packages/harness/deerflow/persistence/models/__init__.py

@@ -15,7 +15,7 @@ its storage implementation lives in ``deerflow.runtime.events.store.db`` and
 there is no matching entity directory.
 """
 
-from deerflow.persistence.agents.model import AgentRow
+from deerflow.persistence.agents.model import AgentFavoriteRow, AgentRow
 from deerflow.persistence.memory_config.model import UserMemoryConfigRow
 from deerflow.persistence.feedback.model import FeedbackRow
 from deerflow.persistence.llm_metrics.model import LlmCallMetricRow
@@ -36,9 +36,11 @@ from deerflow.persistence.thread_meta.model import ThreadMetaRow
 from deerflow.persistence.thread_shares.model import ThreadShareRow
 from deerflow.persistence.tool_metrics.model import ToolCallMetricRow
 from deerflow.persistence.user.model import UserRow
+from deerflow.persistence.user_prompts.model import UserCustomPromptRow
 
 __all__ = [
     "FeedbackRow",
+    "AgentFavoriteRow",
     "AgentRow",
     "LlmCallMetricRow",
     "NotificationRow",
@@ -57,6 +59,7 @@ __all__ = [
     "ThreadMetaRow",
     "ThreadShareRow",
     "ToolCallMetricRow",
+    "UserCustomPromptRow",
     "UserMemoryConfigRow",
     "UserRow",
 ]

offline-backend-20260512/backend/packages/harness/deerflow/persistence/user_prompts/__init__.py

@@ -0,0 +1,18 @@
+"""Per-user custom prompt persistence."""
+
+from __future__ import annotations
+
+from deerflow.persistence.user_prompts.model import UserCustomPromptRow
+from deerflow.persistence.user_prompts.sql import UserCustomPromptRepository
+
+__all__ = [
+    "UserCustomPromptRepository",
+    "UserCustomPromptRow",
+    "make_user_prompt_store",
+]
+
+
+def make_user_prompt_store(session_factory):
+    if session_factory is None:
+        return None
+    return UserCustomPromptRepository(session_factory)

offline-backend-20260512/backend/packages/harness/deerflow/persistence/user_prompts/model.py

@@ -0,0 +1,23 @@
+"""ORM model for per-user custom prompts (常用提示词)."""
+
+from __future__ import annotations
+
+from datetime import UTC, datetime
+
+from sqlalchemy import Integer, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from deerflow.persistence.base import Base
+from deerflow.persistence.types import BeijingDateTime
+
+
+class UserCustomPromptRow(Base):
+    __tablename__ = "user_custom_prompts"
+
+    id: Mapped[str] = mapped_column(String(64), primary_key=True)
+    user_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
+    title: Mapped[str] = mapped_column(String(255), nullable=False, default="")
+    content: Mapped[str] = mapped_column(Text, nullable=False)
+    sort_order: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
+    created_at: Mapped[datetime] = mapped_column(BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC))
+    updated_at: Mapped[datetime] = mapped_column(BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC))

offline-backend-20260512/backend/packages/harness/deerflow/persistence/user_prompts/sql.py

@@ -0,0 +1,74 @@
+"""SQLAlchemy-backed per-user custom prompt repository."""
+
+from __future__ import annotations
+
+from datetime import UTC, datetime
+from typing import Any
+
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
+
+from deerflow.persistence.user_prompts.model import UserCustomPromptRow
+
+
+def _row_to_dict(row: UserCustomPromptRow) -> dict[str, Any]:
+    data = row.to_dict()
+    for key in ("created_at", "updated_at"):
+        value = data.get(key)
+        if isinstance(value, datetime):
+            data[key] = value.isoformat()
+    return data
+
+
+class UserCustomPromptRepository:
+    def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
+        self._sf = session_factory
+
+    async def list_for_user(self, user_id: str) -> list[dict[str, Any]]:
+        stmt = (
+            select(UserCustomPromptRow)
+            .where(UserCustomPromptRow.user_id == user_id)
+            .order_by(UserCustomPromptRow.sort_order.asc(), UserCustomPromptRow.created_at.asc())
+        )
+        async with self._sf() as session:
+            result = await session.execute(stmt)
+            return [_row_to_dict(row) for row in result.scalars()]
+
+    async def create(self, user_id: str, data: dict[str, Any]) -> dict[str, Any]:
+        now = datetime.now(UTC)
+        row = UserCustomPromptRow(
+            id=data["id"],
+            user_id=user_id,
+            title=data.get("title") or "",
+            content=data["content"],
+            sort_order=data.get("sort_order", 0),
+            created_at=now,
+            updated_at=now,
+        )
+        async with self._sf() as session:
+            session.add(row)
+            await session.commit()
+            await session.refresh(row)
+            return _row_to_dict(row)
+
+    async def update(self, prompt_id: str, user_id: str, data: dict[str, Any]) -> dict[str, Any] | None:
+        async with self._sf() as session:
+            row = await session.get(UserCustomPromptRow, prompt_id)
+            if row is None or row.user_id != user_id:
+                return None
+            for key in ("title", "content", "sort_order"):
+                if key in data:
+                    setattr(row, key, data[key])
+            row.updated_at = datetime.now(UTC)
+            await session.commit()
+            await session.refresh(row)
+            return _row_to_dict(row)
+
+    async def delete(self, prompt_id: str, user_id: str) -> bool:
+        async with self._sf() as session:
+            row = await session.get(UserCustomPromptRow, prompt_id)
+            if row is None or row.user_id != user_id:
+                return False
+            await session.delete(row)
+            await session.commit()
+            return True

offline-backend-20260512/backend/packages/harness/deerflow/runtime/references.py

@@ -60,7 +60,7 @@ def build_latest_reference_prompt(messages: list[Any]) -> tuple[str, dict[str, A
         title = source.get("title") or f"参考文献 {source.get('index')}"
         meta = " · ".join(
             str(item)
-            for item in (source.get("source"), source.get("time"))
+            for item in (source.get("source"), source.get("author"), source.get("time"))
             if item
         )
         content = str(source.get("content") or source.get("snippet") or "").strip()
@@ -81,6 +81,7 @@ def build_latest_reference_prompt(messages: list[Any]) -> tuple[str, dict[str, A
             "3. 只能引用上方存在的编号，不要编造编号。",
             "4. 不要使用工具原始编号，也不要重新排序编号。",
             "5. 不要在正文末尾堆完整参考文献列表，前端会展示右侧参考文献。",
+            "6. 参考文献模式下不要输出 <skill-display .../> 占位符，也不要在正文里额外渲染卡片、表格或列表；前端会在右侧参考文献区域展示。",
         ]
     )
     return "\n".join(lines).strip(), batch
@@ -157,6 +158,26 @@ def build_reference_debug_summary(messages: list[Any], batches: list[dict[str, A
     }
 
 
+def build_reference_debug_payload(
+    *,
+    messages: list[Any] | None = None,
+    batch: dict[str, Any] | None = None,
+    batches: list[dict[str, Any]] | None = None,
+    prompt: str | None = None,
+) -> dict[str, Any]:
+    """Return a JSON-safe payload for comparing model prompts and UI batches."""
+    payload: dict[str, Any] = {}
+    if messages is not None:
+        payload["message_trace"] = [_message_debug_item(index, message) for index, message in enumerate(messages)]
+    if prompt is not None:
+        payload["model_reference_prompt"] = prompt
+    if batch is not None:
+        payload["batch"] = _batch_debug_item(batch)
+    if batches is not None:
+        payload["batches"] = [_batch_debug_item(item) for item in batches]
+    return payload
+
+
 def adapt_reference_batches_with_displays(
     batches: list[dict[str, Any]],
     displays: dict[str, SkillDisplayConfig | dict[str, Any]],
@@ -235,6 +256,65 @@ def adapt_reference_batches_with_displays(
     return adapted_batches
 
 
+def _message_debug_item(index: int, message: Any) -> dict[str, Any]:
+    content = _message_content(message)
+    tool_calls = _extract_tool_calls(message)
+    return {
+        "position": index,
+        "type": _message_type(message),
+        "id": _message_id(message),
+        "name": _message_name(message) if _message_type(message) == "tool" else None,
+        "tool_call_id": _message_tool_call_id(message) if _message_type(message) == "tool" else None,
+        "tool_calls": [
+            {
+                "id": call.get("id"),
+                "name": call.get("name"),
+                "args": call.get("args"),
+            }
+            for call in tool_calls
+        ],
+        "content_length": len(content) if isinstance(content, str) else None,
+    }
+
+
+def _batch_debug_item(batch: dict[str, Any]) -> dict[str, Any]:
+    sources = [source for source in batch.get("sources", []) if isinstance(source, dict)]
+    return {
+        "id": batch.get("id"),
+        "assistant_message_id": batch.get("assistant_message_id"),
+        "source_count": len(sources),
+        "sources": [_source_debug_item(source) for source in sources],
+    }
+
+
+def _source_debug_item(source: dict[str, Any]) -> dict[str, Any]:
+    raw = source.get("raw")
+    raw_record = raw if isinstance(raw, dict) else {}
+    return {
+        "index": source.get("index"),
+        "id": source.get("id"),
+        "skillName": source.get("skillName"),
+        "mode": source.get("mode"),
+        "title": source.get("title"),
+        "source": source.get("source"),
+        "author": source.get("author"),
+        "time": source.get("time"),
+        "url": source.get("url"),
+        "snippet": source.get("snippet"),
+        "content": source.get("content"),
+        "raw_id_candidates": {
+            "recUuid": raw_record.get("recUuid"),
+            "rec_uuid": raw_record.get("rec_uuid"),
+            "uuid": raw_record.get("uuid"),
+            "docId": raw_record.get("docId"),
+            "doc_id": raw_record.get("doc_id"),
+            "id": raw_record.get("id"),
+            "url": raw_record.get("url"),
+        },
+        "raw": raw,
+    }
+
+
 def _collect_sources(messages: list[Any]) -> list[dict[str, Any]]:
     sources: list[dict[str, Any]] = []
     pending_tool_contexts: list[dict[str, Any]] = []
@@ -536,6 +616,10 @@ def _pick(layers: list[dict[str, Any]], keys: tuple[str, ...]) -> str | None:
             value = layer.get(key)
             if isinstance(value, (str, int, float)) and str(value).strip():
                 return str(value).strip()
+            if isinstance(value, list):
+                text = _stringify(value, "")
+                if text:
+                    return text
     return None
 
 
@@ -604,6 +688,7 @@ def _normalize_with_display_config(
     snippet = _stringify(_get_by_path(raw, display.summary_field), "")
     content = _stringify(_get_by_path(raw, display.content_field), snippet)
     source = _stringify(_get_by_path(raw, display.source_field), "") or None
+    author = _stringify(_get_by_path(raw, display.author_field), "") or None
     item_type = _stringify(_get_by_path(raw, display.type_field), "result") or "result"
     time = _stringify(_get_by_path(raw, display.time_field), "") or None
     item_id = _stringify(_get_by_path(raw, display.id_field), "") or None
@@ -620,6 +705,7 @@ def _normalize_with_display_config(
         "snippet": snippet,
         "content": content,
         "source": source,
+        "author": author,
         "time": time,
         "url": url,
         "score": score,
@@ -667,6 +753,13 @@ def _stringify(value: Any, fallback: str = "") -> str:
     if isinstance(value, (str, int, float)):
         text = str(value).strip()
         return text if text else fallback
+    if isinstance(value, list):
+        parts = [
+            str(item).strip()
+            for item in value
+            if isinstance(item, (str, int, float)) and str(item).strip()
+        ]
+        return "、".join(parts) if parts else fallback
     return fallback
 
 
@@ -705,6 +798,7 @@ def _normalize_reference_item(
     content = _pick(layers, ("content", "page_content", "summary", "snippet", "description", "content_preview", "abstract", "body"))
     url = _pick(layers, ("url", "link", "href", "source_url", "web_url"))
     source = _pick(layers, ("source", "source1", "site", "provider", "from"))
+    author = _pick(layers, ("author", "authors", "creator", "writer", "byline", "publisher", "owner"))
     time = _pick(layers, ("time", "date", "published_date", "publishedDate", "m_publish", "publish_time", "created_at"))
     item_id = _pick(layers, ("recUuid", "rec_uuid", "uuid", "docId", "doc_id", "id", "recordId", "taskId"))
     score_raw = _pick(layers, ("score", "relevance", "similarity"))
@@ -729,6 +823,7 @@ def _normalize_reference_item(
         "snippet": content,
         "content": content,
         "source": source,
+        "author": author,
         "time": time,
         "url": url,
         "score": score,

offline-backend-20260512/backend/packages/harness/deerflow/runtime/scheduler/__init__.py

@@ -1,4 +1,10 @@
 from .registry import get_scheduled_task_service, set_scheduled_task_service
-from .service import DuplicateTaskNameError, ScheduledTaskService
+from .service import DuplicateTaskNameError, MarkdownRequirementError, ScheduledTaskService
 
-__all__ = ["DuplicateTaskNameError", "ScheduledTaskService", "get_scheduled_task_service", "set_scheduled_task_service"]
+__all__ = [
+    "DuplicateTaskNameError",
+    "MarkdownRequirementError",
+    "ScheduledTaskService",
+    "get_scheduled_task_service",
+    "set_scheduled_task_service",
+]

offline-backend-20260512/backend/packages/harness/deerflow/runtime/scheduler/service.py

@@ -36,6 +36,27 @@ _RUN_ATTEMPT_TIMEOUT_SECONDS = 30 * 60  # 30 minutes
 # Retries allowed after the first attempt before the run is marked "failed".
 _MAX_RUN_RETRIES = 3
 
+# Minimum length (in characters) the generated Markdown file's content must
+# reach when a task has ``require_markdown`` enabled. The model is NOT told about
+# this threshold — it is enforced silently by the service.
+_MARKDOWN_MIN_CHARS = 100
+
+# Instruction appended to the prompt when ``require_markdown`` is on. It only
+# asks the model to produce a ``.md`` file; the length requirement is enforced
+# in code (not surfaced to the model).
+_MARKDOWN_INSTRUCTION = (
+    "\n\n【输出要求】请将本次任务的最终结果生成为一个 Markdown(.md) 格式的文件，"
+    "保存到 /mnt/user-data/outputs 目录，并使用 present_files 展示该文件。"
+)
+
+
+class MarkdownRequirementError(Exception):
+    """Raised when a ``require_markdown`` task did not produce a valid .md file.
+
+    The run is marked failed (no retry) so the user can see the output did not
+    meet the requirement (a Markdown file longer than the minimum length).
+    """
+
 
 class DuplicateTaskNameError(Exception):
     """A user already owns a scheduled task with the requested name.
@@ -166,6 +187,42 @@ def _looks_like_markdown(content: str) -> bool:
     return any(re.search(pattern, content, flags=re.MULTILINE) for pattern in markdown_patterns)
 
 
+def _task_requires_markdown(task: dict[str, Any]) -> bool:
+    """Whether a task has the ``require_markdown`` flag set.
+
+    The flag lives inside ``execution_context`` (no dedicated column) so the
+    feature works without a schema migration on existing databases.
+    """
+    ctx = task.get("execution_context")
+    return bool(isinstance(ctx, dict) and ctx.get("require_markdown"))
+
+
+def _has_valid_markdown_file(result_files: list[dict[str, Any]] | None) -> bool:
+    """True when the run produced a ``.md`` file whose text exceeds the minimum.
+
+    For tasks with ``require_markdown`` enabled the run only succeeds if at least
+    one generated file is Markdown (``.md``/``.markdown``) and its content is
+    longer than :data:`_MARKDOWN_MIN_CHARS` characters. The file is read from its
+    archived path; binary/undecodable files never qualify.
+    """
+    for item in result_files or []:
+        if not isinstance(item, dict):
+            continue
+        name = str(item.get("name") or "")
+        if not name.lower().endswith((".md", ".markdown")):
+            continue
+        path = item.get("path")
+        if not isinstance(path, str) or not path:
+            continue
+        try:
+            text = Path(path).read_text(encoding="utf-8", errors="ignore")
+        except Exception:
+            continue
+        if len(text.strip()) > _MARKDOWN_MIN_CHARS:
+            return True
+    return False
+
+
 def _build_result(
     task: dict[str, Any],
     *,
@@ -451,6 +508,7 @@ class ScheduledTaskService:
         source_agent_name: str | None = None,
         execution_agent_name: str | None = None,
         execution_context: dict[str, Any] | None = None,
+        require_markdown: bool = False,
     ) -> dict[str, Any]:
         tz = _normalize_timezone(timezone)
         cron_expr = _schedule_to_cron(schedule)
@@ -461,6 +519,7 @@ class ScheduledTaskService:
         context = dict(execution_context or {})
         if execution_agent_name:
             context["agent_name"] = execution_agent_name
+        context["require_markdown"] = bool(require_markdown)
         normalized_description = description.strip() if isinstance(description, str) else None
         task = await self.store.create_task(
             {
@@ -519,6 +578,18 @@ class ScheduledTaskService:
             update_data["next_run_at"] = _next_run_at(cron_expr, tz)
         if data.get("execution_context") is not None:
             update_data["execution_context"] = data["execution_context"]
+        # ``require_markdown`` is persisted inside execution_context (no dedicated
+        # column), so merge it into the context being written — preferring a
+        # context supplied in the same request, else the task's existing one.
+        if data.get("require_markdown") is not None:
+            base_ctx = (
+                update_data["execution_context"]
+                if "execution_context" in update_data
+                else (existing or {}).get("execution_context")
+            )
+            ctx = dict(base_ctx or {})
+            ctx["require_markdown"] = bool(data["require_markdown"])
+            update_data["execution_context"] = ctx
         # Re-enabling a task must also schedule it forward from now, otherwise a
         # paused task with a stale/empty next_run_at would never fire again.
         if update_data.get("enabled") is True and "next_run_at" not in update_data:
@@ -831,6 +902,10 @@ class ScheduledTaskService:
                 run_id=run_id,
                 output_snapshot=output_snapshot,
             )
+        if _task_requires_markdown(task) and not _has_valid_markdown_file(result_files):
+            raise MarkdownRequirementError(
+                f"未满足输出要求：需生成 Markdown(.md) 文件，且文件正文不少于 {_MARKDOWN_MIN_CHARS} 字"
+            )
         return _build_result(task, scheduled_for=scheduled_for, content=result_text, files=result_files)
 
     async def _ensure_thread_meta(self, user_id: str, thread_id: str) -> None:
@@ -895,6 +970,8 @@ class ScheduledTaskService:
                 f"计划时间：{scheduled_for.astimezone(ZoneInfo(task.get('timezone') or 'UTC')).isoformat()}\n\n"
                 f"{task['prompt']}"
             )
+            if execution_context.get("require_markdown"):
+                content += _MARKDOWN_INSTRUCTION
             body = RunCreateRequest(
                 assistant_id="lead_agent",
                 input={"messages": [{"type": "human", "content": content}]},