From 30943159bfdcc5a3e475734d490fab966ebf1431 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=89=E9=91=AB=E5=8D=87?= <xsji@kland.com.cn>
Date: Mon, 24 Aug 2026 20:40:44 +0800
Subject: [PATCH 1/5] feat: complete public wiki and embedded previews

---
 .../workspace/messages/markdown-content.tsx   |  20 +-
 .../src/core/llmwiki/wiki-page-markdown.ts    | 208 +++++++++++++++++-
 frontend-web/src/core/llmwiki/wiki-tree.ts    |  73 +++++-
 .../src/strategy-components/api/llmwiki.ts    |  44 ++++
 .../llmwiki/WeKnoraKnowledgeDetailPage.tsx    |   1 -
 .../llmwiki/WeKnoraSourceDrawer.tsx           |  60 ++++-
 .../llmwiki/WeKnoraWikiPageView.tsx           |  72 ++++--
 frontend-web/vite.config.ts                   |  19 +-
 offline-backend-20260512/backend/CLAUDE.md    |  42 +++-
 offline-backend-20260512/backend/README.md    |  28 ++-
 .../backend/app/gateway/routers/llmwiki.py    | 132 ++++++++++-
 offline-backend-20260512/backend/config.yaml  |   2 +
 .../harness/deerflow/config/llmwiki_config.py |   7 +-
 .../deerflow/integrations/weknora/client.py   |  25 +++
 .../weknora/local_index/embedding.py          |   6 +-
 .../backend/tests/test_llmwiki_weknora.py     |  53 +++++
 .../backend/tests/test_llmwiki_wiki_sync.py   |  55 ++++-
 .../tests/test_public_llmwiki_embed.py        | 127 +++++++++++
 18 files changed, 926 insertions(+), 48 deletions(-)

diff --git a/frontend-web/src/components/workspace/messages/markdown-content.tsx b/frontend-web/src/components/workspace/messages/markdown-content.tsx
index e7b6380e..b83053f2 100644
--- a/frontend-web/src/components/workspace/messages/markdown-content.tsx
+++ b/frontend-web/src/components/workspace/messages/markdown-content.tsx
@@ -1,7 +1,12 @@
 "use client";
 
 import { useMemo } from "react";
-import type { AnchorHTMLAttributes, HTMLAttributes, ReactNode } from "react";
+import type {
+  AnchorHTMLAttributes,
+  HTMLAttributes,
+  MouseEvent as ReactMouseEvent,
+  ReactNode,
+} from "react";
 
 import {
   MessageResponse,
@@ -34,6 +39,12 @@ export type MarkdownContentProps = {
   className?: string;
   remarkPlugins?: MessageResponseProps["remarkPlugins"];
   components?: MessageResponseProps["components"];
+  linkClassName?: (href: string, label: string) => string | undefined;
+  onLinkClick?: (
+    event: ReactMouseEvent<HTMLAnchorElement>,
+    href: string,
+    label: string,
+  ) => void;
 };
 
 /** Renders markdown content. */
@@ -43,6 +54,8 @@ export function MarkdownContent({
   className,
   remarkPlugins = streamdownPlugins.remarkPlugins,
   components: componentsFromProps,
+  linkClassName,
+  onLinkClick,
 }: MarkdownContentProps) {
   const anchorResolver = useMemo(() => createMarkdownAnchorResolver(content), [content]);
   const components = useMemo(() => {
@@ -93,6 +106,7 @@ export function MarkdownContent({
           );
         }
         const finalHref = resolvedHref ?? props.href;
+        const label = extractTextFromChildren(props.children);
         return (
           <a
             {...rest}
@@ -100,6 +114,7 @@ export function MarkdownContent({
             className={cn(
               "text-primary decoration-primary/30 hover:decoration-primary/60 underline underline-offset-2 transition-colors",
               className,
+              linkClassName?.(finalHref || "", label),
             )}
             target={target ?? (external ? "_blank" : undefined)}
             rel={rel ?? (external ? "noopener noreferrer" : undefined)}
@@ -110,6 +125,7 @@ export function MarkdownContent({
                 event.preventDefault();
                 scrollToInPageAnchor(event.currentTarget, finalHref);
               }
+              onLinkClick?.(event, finalHref || "", label);
               rest.onClick?.(event);
             }}
           />
@@ -117,7 +133,7 @@ export function MarkdownContent({
       },
       ...componentsFromProps,
     };
-  }, [anchorResolver, componentsFromProps]);
+  }, [anchorResolver, componentsFromProps, linkClassName, onLinkClick]);
 
   if (!content) return null;
 
diff --git a/frontend-web/src/core/llmwiki/wiki-page-markdown.ts b/frontend-web/src/core/llmwiki/wiki-page-markdown.ts
index d4a24078..4ee93185 100644
--- a/frontend-web/src/core/llmwiki/wiki-page-markdown.ts
+++ b/frontend-web/src/core/llmwiki/wiki-page-markdown.ts
@@ -5,6 +5,38 @@ export type WikiPageUrlBuilder = (
   wikiSlug: string,
 ) => string;
 
+export type WikiPageLinkTarget = {
+  slug: string;
+  title: string;
+  aliases?: string[];
+  page_type?: string;
+  summary?: string;
+  category_path?: string[];
+};
+
+export type WikiIndexGroup = {
+  type: string;
+  total: number;
+  items: WikiPageLinkTarget[];
+};
+
+type WikiIndexCategoryNode = {
+  label: string;
+  pages: WikiPageLinkTarget[];
+  children: Map<string, WikiIndexCategoryNode>;
+};
+
+const WIKI_INDEX_TYPE_LABELS: Record<string, string> = {
+  summary: "摘要",
+  entity: "实体",
+  concept: "概念",
+  overview: "概览",
+  directory: "目录",
+  article: "文章",
+};
+
+const WIKI_INDEX_TYPE_ORDER = ["summary", "entity", "concept"];
+
 export function stripWikiFrontmatter(value: string) {
   return value.replace(/^\s*---\s*\n[\s\S]*?\n---\s*(?:\n|$)/, "").trim();
 }
@@ -38,18 +70,192 @@ export function wikiLinkMarkdown(
     .replace(/\[\[([^\]]+)\]\]/g, (_match, slug) => link(slug));
 }
 
+function normalizeWikiLinkLabel(value: string): string {
+  return value
+    .replace(/\\([\\`*_[\]{}()#+\-.!])/g, "$1")
+    .replace(/[*_`~]/g, "")
+    .replace(/\s+/g, " ")
+    .trim()
+    .toLocaleLowerCase("zh-CN");
+}
+
+function isLegacyWikiPlaceholderUrl(value: string): boolean {
+  return /\/platform\/knowledge-bases\/[^/?#)]+/i.test(value);
+}
+
+function wikiIndexTypeRank(pageType: string): number {
+  const index = WIKI_INDEX_TYPE_ORDER.indexOf(pageType);
+  return index >= 0 ? index : WIKI_INDEX_TYPE_ORDER.length;
+}
+
+function wikiIndexPageLine(
+  page: WikiPageLinkTarget,
+  knowledgeBaseId: string,
+  buildPageUrl: WikiPageUrlBuilder,
+): string {
+  const label = (page.title || page.slug).replace(/\]/g, "\\]");
+  const summary = (page.summary || "").replace(/\s+/g, " ").trim();
+  return `[${label}](${buildPageUrl(knowledgeBaseId, page.slug)})${summary ? ` — ${summary}` : ""}`;
+}
+
+function renderWikiIndexCategory(
+  node: WikiIndexCategoryNode,
+  knowledgeBaseId: string,
+  buildPageUrl: WikiPageUrlBuilder,
+): string[] {
+  const lines = node.label ? [`**${node.label}**`] : [];
+  lines.push(...node.pages.map((page) => wikiIndexPageLine(page, knowledgeBaseId, buildPageUrl)));
+  const children = Array.from(node.children.values()).sort((left, right) =>
+    left.label.localeCompare(right.label, "zh-Hans-CN"),
+  );
+  for (const child of children) {
+    lines.push(...renderWikiIndexCategory(child, knowledgeBaseId, buildPageUrl));
+  }
+  return lines;
+}
+
+/** Build the category catalogue that WeKnora renders dynamically for its index page. */
+export function buildWikiIndexCatalogMarkdown(
+  pages: WikiPageLinkTarget[],
+  knowledgeBaseId: string,
+  buildPageUrl: WikiPageUrlBuilder = buildWeKnoraWikiPageUrl,
+  indexGroups: WikiIndexGroup[] = [],
+): string {
+  if (indexGroups.length > 0) {
+    const sections: string[] = [];
+    for (const group of indexGroups) {
+      if (group.items.length === 0) continue;
+      const seenCategories = new Set<string>();
+      const lines: string[] = [];
+      for (const page of group.items) {
+        const categories = (page.category_path || []).map((item) => item.trim()).filter(Boolean);
+        for (let depth = 0; depth < categories.length; depth += 1) {
+          const path = categories.slice(0, depth + 1).join("/");
+          if (seenCategories.has(path)) continue;
+          seenCategories.add(path);
+          lines.push(`${"  ".repeat(depth)}**${categories[depth]}**`);
+        }
+        lines.push(
+          `${"  ".repeat(categories.length)}${wikiIndexPageLine(page, knowledgeBaseId, buildPageUrl)}`,
+        );
+      }
+      const label = WIKI_INDEX_TYPE_LABELS[group.type] || group.type;
+      sections.push(`## ${label} (${group.total})`, lines.join("\n"));
+    }
+    return sections.join("\n\n");
+  }
+
+  const groups = new Map<string, WikiPageLinkTarget[]>();
+  for (const page of pages) {
+    const pageType = (page.page_type || "article").trim().toLowerCase();
+    const slugName = page.slug.split("/").filter(Boolean).at(-1)?.toLowerCase();
+    if (pageType === "index" || ["index", "home", "readme"].includes(slugName || "")) continue;
+    const group = groups.get(pageType) || [];
+    group.push(page);
+    groups.set(pageType, group);
+  }
+
+  const pageTypes = Array.from(groups.keys()).sort((left, right) => {
+    const rankDifference = wikiIndexTypeRank(left) - wikiIndexTypeRank(right);
+    if (rankDifference !== 0) return rankDifference;
+    return (WIKI_INDEX_TYPE_LABELS[left] || left).localeCompare(
+      WIKI_INDEX_TYPE_LABELS[right] || right,
+      "zh-Hans-CN",
+    );
+  });
+
+  const sections: string[] = [];
+  for (const pageType of pageTypes) {
+    const groupPages = groups.get(pageType) || [];
+    const root: WikiIndexCategoryNode = { label: "", pages: [], children: new Map() };
+    for (const page of groupPages) {
+      let node = root;
+      for (const category of page.category_path || []) {
+        const label = category.trim();
+        if (!label) continue;
+        let child = node.children.get(label);
+        if (!child) {
+          child = { label, pages: [], children: new Map() };
+          node.children.set(label, child);
+        }
+        node = child;
+      }
+      node.pages.push(page);
+    }
+    const label = WIKI_INDEX_TYPE_LABELS[pageType] || pageType;
+    sections.push(
+      `## ${label} (${groupPages.length})`,
+      ...renderWikiIndexCategory(root, knowledgeBaseId, buildPageUrl),
+    );
+  }
+  return sections.join("\n\n");
+}
+
+/**
+ * WeKnora-generated index pages may contain Markdown links whose href only
+ * points at the knowledge-base Wiki shell. Resolve those placeholders by the
+ * visible link label so the native/public reader can open the exact page.
+ */
+export function resolveWikiIndexPageLinks(
+  markdown: string,
+  knowledgeBaseId: string,
+  pages: WikiPageLinkTarget[],
+  buildPageUrl: WikiPageUrlBuilder = buildWeKnoraWikiPageUrl,
+): string {
+  const pagesByLabel = new Map<string, WikiPageLinkTarget>();
+  for (const page of pages) {
+    const labels = [page.title, page.slug, page.slug.split("/").filter(Boolean).at(-1), ...(page.aliases || [])];
+    for (const label of labels) {
+      const normalized = normalizeWikiLinkLabel(label || "");
+      if (normalized && !pagesByLabel.has(normalized)) pagesByLabel.set(normalized, page);
+    }
+  }
+
+  return markdown.replace(
+    /(?<!!)\[([^\]\n]+)\]\(([^)\n]+)\)/g,
+    (original, rawLabel: string, rawUrl: string) => {
+      if (!isLegacyWikiPlaceholderUrl(rawUrl)) return original;
+      const normalizedLabel = normalizeWikiLinkLabel(rawLabel);
+      const withoutSummarySuffix = normalizedLabel.replace(/\s+-\s+summary$/i, "");
+      const target = pagesByLabel.get(normalizedLabel) || pagesByLabel.get(withoutSummarySuffix);
+      if (!target) return original;
+      return `[${rawLabel}](${buildPageUrl(knowledgeBaseId, target.slug)})`;
+    },
+  );
+}
+
 export function renderableWikiMarkdown(
   title: string,
   content: string,
   knowledgeBaseId: string,
   buildPageUrl?: WikiPageUrlBuilder,
+  pages: WikiPageLinkTarget[] = [],
+  indexGroups: WikiIndexGroup[] = [],
 ) {
   const lines = content.trim().split("\n");
   if (lines[0]?.replace(/^#+\s*/, "").trim() === title.trim()) {
     lines[0] = `# ${title}`;
   }
+  const baseMarkdown = exportableWikiMarkdown(title, "", lines.join("\n"));
+  const isIndex = pages.some((page) => {
+    const slugName = page.slug.split("/").filter(Boolean).at(-1)?.toLowerCase();
+    return page.title === title && (
+      page.page_type?.toLowerCase() === "index" ||
+      ["index", "home", "readme"].includes(slugName || "")
+    );
+  });
+  const existingMarkdownLinkCount = (baseMarkdown.match(/(?<!!)\[[^\]\n]+\]\([^)\n]+\)/g) || []).length;
+  const catalogue = isIndex && existingMarkdownLinkCount === 0
+    ? buildWikiIndexCatalogMarkdown(pages, knowledgeBaseId, buildPageUrl, indexGroups)
+    : "";
+  const markdown = resolveWikiIndexPageLinks(
+    [baseMarkdown, catalogue].filter(Boolean).join("\n\n"),
+    knowledgeBaseId,
+    pages,
+    buildPageUrl,
+  );
   return wikiLinkMarkdown(
-    exportableWikiMarkdown(title, "", lines.join("\n")),
+    markdown,
     knowledgeBaseId,
     buildPageUrl,
   );
diff --git a/frontend-web/src/core/llmwiki/wiki-tree.ts b/frontend-web/src/core/llmwiki/wiki-tree.ts
index 1db7ebc6..d7dea6fd 100644
--- a/frontend-web/src/core/llmwiki/wiki-tree.ts
+++ b/frontend-web/src/core/llmwiki/wiki-tree.ts
@@ -13,6 +13,34 @@ export type WikiTree = {
   parentKeysBySlug: Map<string, string[]>;
 };
 
+export type BuildWikiTreeOptions = {
+  preferredRootPageSlug?: string;
+};
+
+export function isWikiIndexPage(page: LlmWikiWikiPage): boolean {
+  const pageType = (page.page_type || "").trim().toLowerCase();
+  const title = (page.title || "").trim().toLowerCase();
+  const slug = (page.slug || "").trim().replace(/^\/+|\/+$/g, "");
+  const slugName = slug.split("/").pop()?.toLowerCase() || "";
+  return (
+    pageType === "index" ||
+    title === "索引" ||
+    title === "index" ||
+    ["index", "home", "readme"].includes(slugName)
+  );
+}
+
+export function selectDefaultWikiPage(
+  pages: LlmWikiWikiPage[],
+): LlmWikiWikiPage | undefined {
+  return (
+    pages.find(isWikiIndexPage) ||
+    pages.find((page) => page.page_type?.toLowerCase() === "overview") ||
+    pages.find((page) => !page.parent_slug && (page.depth ?? 0) === 0) ||
+    pages[0]
+  );
+}
+
 function pageDirectoryParts(page: LlmWikiWikiPage): string[] {
   const wikiPath = (page.wiki_path || "").split("/").map((item) => item.trim()).filter(Boolean);
   if (wikiPath.length > 2) return wikiPath.slice(1, -1);
@@ -62,20 +90,49 @@ function attachNode(parent: WikiTreeNode | null, roots: WikiTreeNode[], node: Wi
   if (!siblings.some((item) => item.key === node.key)) siblings.push(node);
 }
 
-function sortWikiNodes(nodes: WikiTreeNode[]) {
+function sortWikiNodes(
+  nodes: WikiTreeNode[],
+  preferredRootPageSlug?: string,
+  isRoot = false,
+) {
   nodes.sort((left, right) => {
+    if (isRoot && preferredRootPageSlug) {
+      const leftPreferred = left.page?.slug === preferredRootPageSlug;
+      const rightPreferred = right.page?.slug === preferredRootPageSlug;
+      if (leftPreferred !== rightPreferred) return leftPreferred ? -1 : 1;
+    }
     if (!!left.children.length !== !!right.children.length) return left.children.length ? -1 : 1;
     return left.label.localeCompare(right.label, "zh-Hans-CN");
   });
   nodes.forEach((node) => sortWikiNodes(node.children));
 }
 
+function detachPageNode(nodes: WikiTreeNode[], slug: string): WikiTreeNode | null {
+  const index = nodes.findIndex((node) => node.page?.slug === slug);
+  if (index >= 0) return nodes.splice(index, 1)[0] || null;
+  for (const node of nodes) {
+    const detached = detachPageNode(node.children, slug);
+    if (detached) return detached;
+  }
+  return null;
+}
+
+function pruneEmptyDirectories(nodes: WikiTreeNode[]): WikiTreeNode[] {
+  return nodes.filter((node) => {
+    node.children = pruneEmptyDirectories(node.children);
+    return node.page !== null || node.children.length > 0;
+  });
+}
+
 function countPages(node: WikiTreeNode): number {
   node.count = (node.page ? 1 : 0) + node.children.reduce((sum, child) => sum + countPages(child), 0);
   return node.count;
 }
 
-export function buildWikiTree(pages: LlmWikiWikiPage[]): WikiTree {
+export function buildWikiTree(
+  pages: LlmWikiWikiPage[],
+  options: BuildWikiTreeOptions = {},
+): WikiTree {
   const roots: WikiTreeNode[] = [];
   const pageNodes = new Map<string, WikiTreeNode>();
   const directoryNodes = new Map<string, WikiTreeNode>();
@@ -140,7 +197,17 @@ export function buildWikiTree(pages: LlmWikiWikiPage[]): WikiTree {
     parentKeysBySlug.set(page.slug, ancestorKeys);
   }
 
+  const preferredSlug = options.preferredRootPageSlug?.trim();
+  if (preferredSlug) {
+    const preferredNode = detachPageNode(roots, preferredSlug);
+    if (preferredNode) {
+      roots.splice(0, roots.length, ...pruneEmptyDirectories(roots));
+      roots.unshift(preferredNode);
+      parentKeysBySlug.set(preferredSlug, []);
+    }
+  }
+
   roots.forEach(countPages);
-  sortWikiNodes(roots);
+  sortWikiNodes(roots, preferredSlug, true);
   return { roots, parentKeysBySlug };
 }
diff --git a/frontend-web/src/strategy-components/api/llmwiki.ts b/frontend-web/src/strategy-components/api/llmwiki.ts
index 481b2967..d7df1d9f 100644
--- a/frontend-web/src/strategy-components/api/llmwiki.ts
+++ b/frontend-web/src/strategy-components/api/llmwiki.ts
@@ -144,6 +144,27 @@ export interface LlmWikiWikiPageList {
   total_pages: number;
 }
 
+export interface LlmWikiWikiIndexItem {
+  slug: string;
+  title: string;
+  summary: string;
+  category_path: string[];
+  wiki_path: string;
+  depth: number;
+}
+
+export interface LlmWikiWikiIndexGroup {
+  type: string;
+  total: number;
+  items: LlmWikiWikiIndexItem[];
+}
+
+export interface LlmWikiWikiIndex {
+  intro: string;
+  version: number;
+  groups: LlmWikiWikiIndexGroup[];
+}
+
 export interface LlmWikiWikiIndexStatus {
   knowledge_base_id: string;
   state: "not_synced" | "idle" | "running" | "partial" | "failed" | "rebuilding" | "rebuild_required";
@@ -710,6 +731,17 @@ export async function getPublicLlmWikiWikiPage(
   );
 }
 
+export async function getPublicLlmWikiWikiIndex(
+  knowledgeBaseId: string,
+): Promise<LlmWikiWikiIndex> {
+  return readJson(
+    await apiFetch(
+      `${PUBLIC_API()}/knowledge-bases/${encodeURIComponent(knowledgeBaseId)}/wiki/index`,
+    ),
+    "读取公开 Wiki 索引",
+  );
+}
+
 export async function createLlmWikiConversationDeposit(input: {
   thread_id: string;
   question: string;
@@ -939,6 +971,18 @@ export function usePublicLlmWikiWikiPage(
   });
 }
 
+export function usePublicLlmWikiWikiIndex(
+  knowledgeBaseId: string | null,
+  enabled = true,
+) {
+  return useQuery({
+    queryKey: ["public-llmwiki", "wiki-index", knowledgeBaseId],
+    queryFn: () => getPublicLlmWikiWikiIndex(knowledgeBaseId!),
+    enabled: enabled && !!knowledgeBaseId,
+    staleTime: 60_000,
+  });
+}
+
 export function useLlmWikiWikiIndexStatus(
   knowledgeBaseId: string | null,
   enabled = true,
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraKnowledgeDetailPage.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraKnowledgeDetailPage.tsx
index 8def6a95..136f79c9 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraKnowledgeDetailPage.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraKnowledgeDetailPage.tsx
@@ -273,7 +273,6 @@ export function WeKnoraKnowledgeDetailPage() {
           title={`${details.data.name || "知识库"} 详情`}
           src={frameSrc}
           className="h-full min-h-0 w-full flex-1 border-0 bg-background"
-          sandbox="allow-same-origin allow-scripts allow-forms allow-downloads allow-popups allow-popups-to-escape-sandbox"
           referrerPolicy="no-referrer"
           onLoad={() => postThemeToFrame(frameRef.current)}
         />
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx
index 61a63d6e..272457d2 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx
@@ -21,12 +21,15 @@ import {
 } from "@/components/ui/sheet";
 import { apiFetch } from "@/core/api/fetch-client";
 import { getBackendBaseURL } from "@/core/config";
-import type { WeKnoraSourceTarget } from "@/core/llmwiki/source-links";
+import {
+  buildWeKnoraWikiPagePath,
+  parseWeKnoraPreviewUrl,
+  type WeKnoraSourceTarget,
+} from "@/core/llmwiki/source-links";
 import { SpreadsheetPreview } from "@/components/workspace/artifacts/spreadsheet-preview";
 import { MarkdownContent } from "@/components/workspace/messages/markdown-content";
 import { cn } from "@/lib/utils";
 import { reasoningPlugins } from "@/core/streamdown";
-import { buildWeKnoraWikiPagePath } from "@/core/llmwiki/source-links";
 import {
   exportableWikiMarkdown,
   renderableWikiMarkdown,
@@ -81,6 +84,14 @@ type CachedSourceDetail = {
 
 const sourceDetailCache = new Map<string, CachedSourceDetail>();
 
+function buildDrawerWikiPageUrl(knowledgeBaseId: string, wikiSlug: string) {
+  const params = new URLSearchParams({
+    knowledge_base_id: knowledgeBaseId,
+    wiki_slug: wikiSlug,
+  });
+  return `/weknora-source-preview?${params.toString()}`;
+}
+
 async function getAvailableWikiPage(
   knowledgeBaseId: string,
   wikiSlug: string,
@@ -539,6 +550,7 @@ export function WeKnoraSourceDrawer({
   const [downloading, setDownloading] = useState(false);
   const [wikiDownload, setWikiDownload] = useState<"md" | "word" | null>(null);
   const [resolvedDocumentId, setResolvedDocumentId] = useState("");
+  const wikiNavigationRequestRef = useRef(0);
 
   const targetKey = useMemo(() => {
     if (!target) return "";
@@ -690,7 +702,12 @@ export function WeKnoraSourceDrawer({
   const summary = cleanText(wikiPage?.summary || document?.description);
   const wikiContent = stripWikiFrontmatter(cleanText(wikiPage?.content));
   const wikiDisplayContent = wikiPage && target
-    ? renderableWikiMarkdown(resolvedTitle, wikiContent, target.knowledgeBaseId)
+    ? renderableWikiMarkdown(
+        resolvedTitle,
+        wikiContent,
+        target.knowledgeBaseId,
+        buildDrawerWikiPageUrl,
+      )
     : "";
   const wikiMarkdown = wikiPage
     ? wikiLinkMarkdown(
@@ -703,6 +720,32 @@ export function WeKnoraSourceDrawer({
     ? buildWeKnoraWikiPagePath(target.knowledgeBaseId, resolvedWikiSlug)
     : "";
 
+  const openWikiPageInDrawer = async (linkedTarget: WeKnoraSourceTarget) => {
+    if (!linkedTarget.wikiSlug) return;
+    const requestId = ++wikiNavigationRequestRef.current;
+    setLoading(true);
+    setError(null);
+    try {
+      const page = await getAvailableWikiPage(
+        linkedTarget.knowledgeBaseId,
+        linkedTarget.wikiSlug,
+      );
+      if (requestId === wikiNavigationRequestRef.current) {
+        setWikiPage(page);
+        setDocument(null);
+        setResolvedDocumentId("");
+        setPreview({ kind: "none" });
+        setPreviewError("");
+      }
+    } catch (error) {
+      if (requestId === wikiNavigationRequestRef.current) {
+        setError(error instanceof Error ? error.message : "无法打开 Wiki 页面");
+      }
+    } finally {
+      if (requestId === wikiNavigationRequestRef.current) setLoading(false);
+    }
+  };
+
   const downloadOriginal = async () => {
     if (!target || !resolvedDocumentId) return;
     setDownloading(true);
@@ -925,6 +968,17 @@ export function WeKnoraSourceDrawer({
                       isLoading={false}
                       remarkPlugins={reasoningPlugins.remarkPlugins}
                       rehypePlugins={reasoningPlugins.rehypePlugins}
+                      linkClassName={(href) =>
+                        parseWeKnoraPreviewUrl(href)?.wikiSlug
+                          ? "wiki-content-link font-medium text-[#be2323] decoration-[#be2323]/55 decoration-dashed hover:decoration-solid"
+                          : undefined
+                      }
+                      onLinkClick={(event, href) => {
+                        const linkedTarget = parseWeKnoraPreviewUrl(href);
+                        if (!linkedTarget?.wikiSlug) return;
+                        event.preventDefault();
+                        void openWikiPageInDrawer(linkedTarget);
+                      }}
                     />
                   </div>
                 </section>
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
index 489ff7d6..1a6bd740 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
@@ -25,6 +25,8 @@ import {
 import {
   buildWikiTree,
   filterWikiPagesWithAncestors,
+  isWikiIndexPage,
+  selectDefaultWikiPage,
   type WikiTreeNode,
 } from "@/core/llmwiki/wiki-tree";
 import { usePublicBackground } from "@/core/embed/background";
@@ -43,6 +45,7 @@ import {
   useLlmWikiWikiPage,
   useLlmWikiWikiPages,
   usePublicLlmWikiKnowledgeBase,
+  usePublicLlmWikiWikiIndex,
   usePublicLlmWikiWikiPage,
   usePublicLlmWikiWikiPages,
 } from "@/strategy-components/api/llmwiki";
@@ -92,13 +95,13 @@ function downloadBlob(blob: Blob, fileName: string) {
   window.setTimeout(() => URL.revokeObjectURL(url), 30_000);
 }
 
-function selectLandingPage(pages: LlmWikiWikiPage[]): LlmWikiWikiPage | undefined {
-  return (
-    pages.find((page) => page.page_type?.toLowerCase() === "overview") ||
-    pages.find((page) => /^(?:index|home|readme)$/i.test(page.slug)) ||
-    pages.find((page) => !page.parent_slug && (page.depth ?? 0) === 0) ||
-    pages[0]
-  );
+function publicWikiTargetFromHref(href: string, knowledgeBaseId: string) {
+  const routePrefix = `/#${buildPublicKnowledgeWikiPath(knowledgeBaseId)}`;
+  if (!href.startsWith(`${routePrefix}?`)) return null;
+  const route = href.slice(2);
+  const queryIndex = route.indexOf("?");
+  const slug = new URLSearchParams(route.slice(queryIndex + 1)).get("wikiSlug")?.trim();
+  return slug ? { route, slug } : null;
 }
 
 export function WeKnoraWikiPageView({
@@ -137,7 +140,11 @@ export function WeKnoraWikiPageView({
   );
   const pages = publicEmbed ? publicPages : privatePages;
   const pagesList = useMemo(() => pages.data?.pages || [], [pages.data?.pages]);
-  const landingPage = useMemo(() => selectLandingPage(pagesList), [pagesList]);
+  const indexPage = useMemo(
+    () => (publicEmbed ? pagesList.find(isWikiIndexPage) : undefined),
+    [pagesList, publicEmbed],
+  );
+  const landingPage = useMemo(() => selectDefaultWikiPage(pagesList), [pagesList]);
   const wikiSlug = requestedWikiSlug || (publicEmbed ? landingPage?.slug || "" : "");
   const privatePage = useLlmWikiWikiPage(
     noteId || null,
@@ -150,6 +157,10 @@ export function WeKnoraWikiPageView({
     !!noteId && !!wikiSlug && publicEmbed,
   );
   const page = publicEmbed ? publicPage : privatePage;
+  const publicWikiIndex = usePublicLlmWikiWikiIndex(
+    noteId || null,
+    !!noteId && publicEmbed && !!indexPage && wikiSlug === indexPage.slug,
+  );
   const [downloading, setDownloading] = useState<"md" | "word" | null>(null);
   const [directoryQuery, setDirectoryQuery] = useState("");
   const [collapsedDirectories, setCollapsedDirectories] = useState<Set<string>>(() => new Set());
@@ -159,7 +170,12 @@ export function WeKnoraWikiPageView({
     () => filterWikiPagesWithAncestors(pagesList, directoryQuery),
     [directoryQuery, pagesList],
   );
-  const wikiTree = useMemo(() => buildWikiTree(filteredPages), [filteredPages]);
+  const wikiTree = useMemo(
+    () => buildWikiTree(filteredPages, {
+      preferredRootPageSlug: publicEmbed ? indexPage?.slug : undefined,
+    }),
+    [filteredPages, indexPage?.slug, publicEmbed],
+  );
 
   useEffect(() => {
     if (!publicEmbed || requestedWikiSlug || !wikiSlug) return;
@@ -182,8 +198,16 @@ export function WeKnoraWikiPageView({
   }, [wikiSlug, wikiTree.parentKeysBySlug]);
 
   const title = pageData?.title || wikiSlug || "Wiki 页面";
-  const summary = cleanText(pageData?.summary);
-  const content = stripWikiFrontmatter(cleanText(pageData?.content));
+  const displayTitle = publicEmbed && pageData && isWikiIndexPage(pageData)
+    ? "索引"
+    : title;
+  const currentPageIsIndex = !!pageData && isWikiIndexPage(pageData);
+  const summary = publicEmbed && currentPageIsIndex ? "" : cleanText(pageData?.summary);
+  const content = stripWikiFrontmatter(cleanText(
+    publicEmbed && currentPageIsIndex && publicWikiIndex.data?.intro
+      ? publicWikiIndex.data.intro
+      : pageData?.content,
+  ));
   const displayMarkdown = pageData
     ? renderableWikiMarkdown(
         title,
@@ -196,6 +220,8 @@ export function WeKnoraWikiPageView({
               return `/#${buildPublicKnowledgeWikiPath(knowledgeBaseId)}?${next.toString()}`;
             }
           : undefined,
+        publicEmbed ? pagesList : [],
+        publicEmbed ? publicWikiIndex.data?.groups || [] : [],
       )
     : "";
   const exportMarkdown = pageData
@@ -239,7 +265,11 @@ export function WeKnoraWikiPageView({
     const hasChildren = node.children.length > 0;
     const expanded = directoryQuery.trim() ? true : !collapsedDirectories.has(node.key);
     const active = node.page?.slug === wikiSlug;
-    const label = node.page ? node.label : directoryLabel(node.label);
+    const label = node.page
+      ? publicEmbed && isWikiIndexPage(node.page)
+        ? "索引"
+        : node.label
+      : directoryLabel(node.label);
     return (
       <div key={node.key}>
         <div
@@ -372,7 +402,7 @@ export function WeKnoraWikiPageView({
             <h1 className="truncate text-sm font-semibold text-foreground">
               {knowledgeBase.data?.name || "知识库 Wiki"}
             </h1>
-            <p className="mt-0.5 truncate text-xs text-muted-foreground">{title}</p>
+            <p className="mt-0.5 truncate text-xs text-muted-foreground">{displayTitle}</p>
           </div>
           <Badge variant="outline" className="shrink-0 border-emerald-200 text-emerald-700 dark:border-emerald-800 dark:text-emerald-300">
             公开 Wiki
@@ -467,6 +497,22 @@ export function WeKnoraWikiPageView({
                 isLoading={false}
                 remarkPlugins={reasoningPlugins.remarkPlugins}
                 rehypePlugins={reasoningPlugins.rehypePlugins}
+                linkClassName={(href) =>
+                  publicEmbed && publicWikiTargetFromHref(href, noteId)
+                    ? "wiki-content-link border-b border-dashed !border-[var(--primary)] font-medium !text-primary !no-underline hover:border-solid focus-visible:rounded-sm focus-visible:outline-2 focus-visible:outline-offset-2 focus-visible:outline-primary"
+                    : undefined
+                }
+                onLinkClick={(event, href) => {
+                  if (!publicEmbed) return;
+                  const target = publicWikiTargetFromHref(href, noteId);
+                  if (!target) return;
+                  event.preventDefault();
+                  navigate(target.route, {
+                    state: {
+                      wikiPage: pagesList.find((item) => item.slug === target.slug),
+                    },
+                  });
+                }}
               />
             </section>
           </article>
diff --git a/frontend-web/vite.config.ts b/frontend-web/vite.config.ts
index e30386d4..0094b5be 100644
--- a/frontend-web/vite.config.ts
+++ b/frontend-web/vite.config.ts
@@ -21,11 +21,20 @@ export default defineConfig({
       },
     },
   },
-  resolve: {
-    alias: [
-      {
-        find: "@/env",
-        replacement: path.resolve(rootDir, "src/env.ts"),
+  resolve: {
+    alias: [
+      {
+        // react-syntax-highlighter@16.1.1 exposes an async `sqlMore`
+        // loader, but its own highlight.js@10.x dependency has no
+        // `sql_more` module. Reuse the bundled SQL grammar so Rollup can
+        // resolve every generated language loader without leaving a broken
+        // browser-time external import.
+        find: /^highlight\.js\/lib\/languages\/sql_more$/,
+        replacement: "highlight.js/lib/languages/sql",
+      },
+      {
+        find: "@/env",
+        replacement: path.resolve(rootDir, "src/env.ts"),
       },
       {
         find: "next/navigation",
diff --git a/offline-backend-20260512/backend/CLAUDE.md b/offline-backend-20260512/backend/CLAUDE.md
index 0beb183a..6d44c4ea 100644
--- a/offline-backend-20260512/backend/CLAUDE.md
+++ b/offline-backend-20260512/backend/CLAUDE.md
@@ -1015,7 +1015,7 @@ Both can be modified at runtime via Gateway API endpoints or `DeerFlowClient` me
 
 `llmwiki.weknora.api_base_url` is the provider switch: non-empty enables WeKnora, empty preserves the legacy LLMWiki UI. WeKnora is independently deployed and owns PostgreSQL/Redis/object storage/vector storage/parsers/models; DeerFlow config contains only `api_base_url` and optional `web_base_url`. DeerFlow deliberately sends no WeKnora credential, so the WeKnora endpoint must be restricted to a trusted network and allow DeerFlow traffic itself or through its reverse proxy. There is intentionally no `default_embedding_model_id`: `WeKnoraClient` queries `/api/v1/models` and uses WeKnora's active Embedding model when creating a KB; Wiki creation additionally resolves an active KnowledgeQA model inside WeKnora for synthesis. The native BFF is `app/gateway/routers/llmwiki.py`; ownership/publication mappings live in `deerflow.persistence.llmwiki`; the browser only sees DeerFlow mapping IDs. Knowledge-base owners publish immediately (`private` -> `published`) without a review queue, and can unpublish ordinary bases. The conversation-deposit KB is system-owned, always published, shared by all DeerFlow users, excluded from My Knowledge, and immutable through user/admin detail operations; recognition requires both the reserved name and `system` owner. Existing same-name remote mappings are adopted in place as the system deposit, preserving mapping ids and document links. Its user-facing description, generated Markdown source and tags use `cmzs` branding; list/detail reads synchronize stale remote descriptions, and search results, source previews and embedded-detail JSON recursively replace legacy brand text in historical conversation-deposit payloads. Deposit requests must reference a thread accessible to the current account. Personal knowledge-base list/search views are scoped to the current DeerFlow account even for admins; frontend LLMWiki caches include the live account id, and admin write power does not make other users' private KBs appear as owned. Only `system_role === "admin"` sees the WeKnora connection-config tab. Knowledge cards navigate to a dedicated WeKnora-style detail route. Wiki-enabled bases render and default to `Wiki -> documents -> graph`; standard bases omit Wiki and render `documents -> graph`. The detail page supports sequential multi-file upload with an aggregate result for writable ordinary bases, hides it for public read-only/system-deposit bases, and uses a generic loading label while the embed session starts. It also supports URL and published manual-Markdown imports, browses real Wiki pages/content, proxies authenticated original-file previews, pages through `/chunks/{knowledge_id}`, and renders the Wiki page graph from `/knowledgebase/{kb_id}/wiki/graph`; document details use a right sheet rather than the removed KB modal. The credential-free proxy uses one WeKnora service identity, so per-user separation is enforced by DeerFlow mappings while all remote KBs physically share that identity's WeKnora workspace. WeKnora iframe detail pages first call `/api/llmwiki/knowledge-bases/{id}/weknora/session` through the normal DeerFlow API auth path, then load `/platform/knowledge-bases/{weknora_id}` with a signed `deerflow_weknora_embed` cookie for `/platform`, `/assets`, `/locales`, root assets, and API calls. Injected fetch/XHR rewriting sends all iframe `/api/v1/*`, including colliding `/api/v1/auth/*`, through `/api/llmwiki/weknora-embed/api/v1/*`; Gateway auth/CSRF bypass only applies to those signed iframe proxy requests, the proxy still revalidates the mapped KB, and cookie security honors `X-Forwarded-Proto` for HTTPS reverse proxies. `llmwiki_search` is conditionally registered in `tools.py`, is read-only, and rechecks the current DeerFlow user, agent `llmwiki_knowledge_base_ids`, and thread-context selection on every call. Source previews prefer the cleaned Wiki/LLMWiki page text when a retrieved chunk maps to a Wiki page, with raw split chunks as the fallback. Agent bindings use an inline WeKnora-style searchable/grouped multi-select in the standard agent create/detail UI; new chats use the same interaction pattern as a compact composer dropdown, and selections are written to thread metadata/context and restored on reopen. The DeerFlow frontend is native React and the WeKnora frontend is not modified or embedded. Full deployment and behavior notes: `docs/LLMWIKI_WEKNORA_INTEGRATION_ZH.md`. Tests: `tests/test_llmwiki_weknora.py`.
 
-The embedded detail proxy hides WeKnora's outer `.main > .aside_box` application sidebar and expands the route outlet, but deliberately keeps the Wiki page's internal directory/index sidebar.
+The embedded detail proxy hides WeKnora's outer `.main > .aside_box` application sidebar and expands the route outlet, but deliberately keeps the Wiki page's internal directory/index sidebar. Do not add an HTML `sandbox` attribute to this trusted, permission-filtered detail iframe: a sandboxed ancestor causes Chromium's built-in Blob PDF viewer to render the browser-blocked page. The Gateway follows upstream redirects only for `/knowledge/{id}/preview` and `/knowledge-bases/{id}/files`, keeping PDF bytes and protected Wiki images inside the signed proxy instead of sending the browser to WeKnora object storage.
 
 **Embedded native knowledge-base switching:** The original WeKnora breadcrumb picker remains available inside the detail iframe. A signed 15-minute embed cookie carries only the current DeerFlow user's visible mappings (their own plus published bases); the proxied `/api/v1/knowledge-bases` response is filtered to that allowlist. Choosing another entry performs a full iframe navigation, rechecks the DeerFlow mapping and read/write permission, then reissues the cookie for the selected base. Never expose the upstream service-admin list directly or permit an arbitrary remote knowledge-base ID.
 
@@ -1451,6 +1451,11 @@ embedding succeeds. Never delete the old generation before a remote embedding
 call and never fall back to WeKnora raw chunks while the local feature flag is
 enabled. NumPy matrices are per-mapping LRU snapshots invalidated by
 `index_revision`; large decode/matrix work runs through `asyncio.to_thread`.
+`embedding.dimensions` is a local response-size invariant and fingerprint
+input, not an outbound API field: fixed-dimension BGE/OpenAI-compatible
+endpoints can reject a `dimensions` request parameter with HTTP 400. When the
+value is omitted, the embedding client probes and freezes the first response's
+dimension before sync lease/rebuild decisions.
 During a fingerprint rebuild the mapping uses the Wiki-page API until every
 page is successfully rebuilt. `WikiRetrievalService` partitions mixed requests
 per mapping, so ready libraries stay local while incomplete libraries use that
@@ -1480,14 +1485,33 @@ WeKnora iframe.
 
 Third-party pages embed published Wiki content through the chrome-free route
 `/#/embed/knowledge/{mapping_id}` (optional exact-page `wikiSlug`). It defaults
-to an overview/root Wiki page, retains directory navigation, and supports the
-shared public-embed `theme` / `bg` / `text` appearance inputs. All anonymous
-reader calls use `/api/public/llmwiki/knowledge-bases/{id}` and its Wiki-page
-children. Those endpoints must resolve the mapping with a synthetic anonymous
-user and `is_admin=False`, explicitly require `publication_status=published`,
-and hard-deny the system conversation-deposit mapping. Never point this page at
-the authenticated `/api/llmwiki` reads or weaken the published-only gate merely
-because the mapping id is hard to guess.
+to a recognized Wiki index page (title `索引`/`index`, page type `index`, or an
+`index`/`home`/`readme` slug), promotes that page to the first public-directory
+entry, then falls back to an overview/root page when no index exists. It retains
+directory navigation and supports the shared public-embed `theme` / `bg` /
+`text` appearance inputs. WeKnora dynamically renders index page-type counts,
+nested category headings, page summaries, and `data-slug` links even though the
+stored index Markdown only contains its introduction; the native public reader
+reads the same ordered groups through the published-only
+`/api/public/llmwiki/knowledge-bases/{id}/wiki/index` proxy and renders them with
+`buildWikiIndexCatalogMarkdown`. The Gateway paginates every WeKnora index type
+(`summary`, `entity`, `concept`, `synthesis`, `comparison`) to completion while
+preserving upstream group/item order. Index Markdown
+may also contain WeKnora shell-only placeholder links;
+`resolveWikiIndexPageLinks` matches their visible labels to
+the loaded page title, slug, or alias and rewrites them to exact embedded
+`wikiSlug` routes. Preserve WeKnora's `wiki-content-link` interaction: primary
+brand color, medium weight, dashed underline becoming solid on hover, focus
+outline, and in-reader SPA navigation rather than a page reload. `GET
+/api/public/llmwiki/knowledge-bases` is the
+anonymous discovery endpoint and returns only each published ordinary mapping's
+`id` and `name` (plus the collection total). All anonymous reader calls use that
+public namespace and the `/knowledge-bases/{id}` Wiki-page children. Those
+endpoints must resolve with a synthetic anonymous user and `is_admin=False`,
+explicitly require `publication_status=published`, and hard-deny the system
+conversation-deposit mapping. Never point this page at the authenticated
+`/api/llmwiki` reads or weaken the published-only gate merely because the
+mapping id is hard to guess.
 
 Owners manually force a full sync/vectorization through `POST
 /api/llmwiki/knowledge-bases/{id}/vectorize`; status is available through `GET
diff --git a/offline-backend-20260512/backend/README.md b/offline-backend-20260512/backend/README.md
index fe2f9ee4..fa14f92a 100644
--- a/offline-backend-20260512/backend/README.md
+++ b/offline-backend-20260512/backend/README.md
@@ -82,7 +82,7 @@ Per-thread isolated execution with virtual path translation:
 - **Skills loading**: Recursively discovers nested `SKILL.md` files under `skills/{public,custom}` and preserves nested container paths
 - **Conditional WeKnora LLMWiki**: a non-empty `llmwiki.weknora.api_base_url` enables the DeerFlow-native WeKnora BFF and UI; an empty address preserves the existing LLMWiki page. WeKnora remains independently deployed and owns its database, Redis, storage, parsers and models. DeerFlow keeps only the API/admin addresses, user/publication mappings, agent knowledge-base bindings and per-conversation selections; it stores and sends no WeKnora credential, so the endpoint must be restricted to a trusted network and allow DeerFlow traffic. Owners publish directly to the public LLMWiki without an approval queue for ordinary bases; the system-owned conversation-deposit base is always published, shared by all users, excluded from My Knowledge, immutable through user/admin detail operations, and recognized by both its reserved name and `system` owner. An existing same-name remote mapping is adopted in place as the system deposit so its mapping id and document links stay valid. Its user-facing knowledge-base description and generated document metadata use the `cmzs` brand; list/detail reads synchronize stale remote descriptions, while conversation-deposit search results, source previews and embedded-detail JSON rewrite legacy brand text to `cmzs`. Deposit requests must reference a thread accessible to the current account. Personal knowledge-base lists are scoped to the current DeerFlow account even for admins, while frontend LLMWiki query caches also include the active account id so switching accounts cannot reuse another account's list/detail data. Admins remain the only role that sees the WeKnora connection-config tab. Knowledge cards open a dedicated WeKnora-style detail route: Wiki-enabled bases default to Wiki, then documents and graph; standard bases hide Wiki and default to documents. Writable ordinary knowledge-base details expose a native multi-file upload action that submits files sequentially and reports aggregate success/failure; read-only public bases and the system deposit base do not. It supports file/URL/manual-Markdown imports, Wiki page browsing, document preview, real parsed chunks and Wiki graph nodes/edges. New chats use a compact WeKnora-style searchable/grouped multi-select inside the composer, while agent create/edit pages bind spaces through an inline panel. A single proxy service identity means DeerFlow users are isolated logically while their WeKnora entities share that identity's workspace. The read-only `llmwiki_search` tool reauthorizes the current DeerFlow user on every call and renders credential-free source previews; source previews prefer cleaned Wiki/LLMWiki text when a retrieved chunk maps to a Wiki page, with raw chunks as the fallback. The detail page first creates a signed iframe session through the normal DeerFlow API auth path, then points the iframe directly at the proxied WeKnora `/platform/...` route using the signed `deerflow_weknora_embed` cookie; global auth/CSRF bypass is limited to those signed iframe proxy requests, and HTTPS cookie attributes honor `X-Forwarded-Proto` behind reverse proxies. The iframe proxy keeps WeKnora's root-relative `/platform`, `/assets`, `/locales`, and `/api/v1/*` paths, but is registered last through `llmwiki.proxy_router` so it cannot intercept first-party Gateway APIs such as `POST /api/v1/auth/login/username`. See [docs/LLMWIKI_WEKNORA_INTEGRATION_ZH.md](docs/LLMWIKI_WEKNORA_INTEGRATION_ZH.md).
 - **Enterprise Research workbench (temporarily disabled)**: the independent `/api/enterprise-research` router, its report executor, and its ORM table registration are intentionally inactive. The implementation remains in the repository, but startup does not create or alter `enterprise_research_tasks` or `enterprise_research_report_jobs`; this keeps the active Deep Research workflow independent of the paused workbench and avoids MySQL schema errors.
-- **Embedded WeKnora detail chrome**: the proxy hides WeKnora's application sidebar (`.main > .aside_box`) and expands the detail outlet to the full iframe width, while preserving the Wiki page's own index/navigation panel.
+- **Embedded WeKnora detail chrome**: the proxy hides WeKnora's application sidebar (`.main > .aside_box`) and expands the detail outlet to the full iframe width, while preserving the Wiki page's own index/navigation panel. The host does not sandbox this trusted, permission-filtered detail frame because browser PDF viewers are disabled inside sandboxed ancestor frames. Preview and knowledge-base file redirects are followed by the Gateway so PDF bytes and protected Wiki images remain inside the authorized proxy instead of leaking to an unreachable object-storage URL.
 - **Embedded WeKnora knowledge-base switching**: the original breadcrumb picker works inside the iframe, but lists only the signed-in user's own and published knowledge bases. Every switch is reauthorized through DeerFlow and receives a fresh short-lived iframe session, so it never exposes the upstream service-admin knowledge-base list.
 - **Prefixed WeKnora deployment**: the frontend may be published under a separate prefix such as `/magentweb`, while embedded WeKnora detail traffic is served by the Gateway under `/deerflow`. The Gateway rewrites HTML root assets, WeKnora API URLs, redirects, and Vite dynamic dependency maps so page assets stay under `/deerflow`; the prefixed proxy routes must be registered before the unprefixed fallback. The signed embed cookie covers `/deerflow`, and auth/CSRF recognition includes all supported static directories.
 - **File-write safety**: `str_replace` serializes read-modify-write per `(sandbox.id, path)` so isolated sandboxes keep concurrency even when virtual paths match
@@ -780,6 +780,11 @@ matched Wiki pages. It never falls back to raw documents or chunks. The local
 vector feature is disabled by default. Configure
 `llmwiki.local_wiki_index.embedding` first, then enable `enabled`,
 `sync_enabled`, and `internal_search_enabled` in `config.yaml`.
+The optional `embedding.dimensions` value is used only to validate the returned
+vector size and build the index fingerprint; it is deliberately not sent in
+the embedding request because fixed-dimension BGE/OpenAI-compatible endpoints
+may reject that extra field with HTTP 400. Omit it to discover the dimension
+from the first successful response.
 
 The migration creates `llmwiki_wiki_pages`, `llmwiki_wiki_vectors`, and
 `llmwiki_wiki_sync_states`. Wiki Markdown and normalized float32 vectors are
@@ -814,13 +819,26 @@ without mounting the WeKnora iframe.
 
 Published knowledge bases also have a login-free, chrome-free reader at
 `/#/embed/knowledge/{mapping_id}` for direct third-party iframe use. With no
-`wikiSlug`, it selects an overview/root page and keeps directory navigation
-inside the embed route; `?wikiSlug=...` deep-links one page. The reader supports
-`theme=light|dark`, `bg`, and `text` embed appearance parameters. Its data comes
+`wikiSlug`, it selects the Wiki **索引** page first (recognized by title, page
+type, or `index`/`home`/`readme` slug), pins that page to the top of the public
+directory, and otherwise falls back to an overview/root page;
+`?wikiSlug=...` deep-links one page. The reader supports
+`theme=light|dark`, `bg`, and `text` embed appearance parameters. Index-article
+catalogue sections (page-type counts, nested categories, page summaries) are
+read from the published-only `/wiki/index` proxy because WeKnora renders that
+part dynamically rather than storing it in the index page body; group and item
+ordering therefore stays identical to WeKnora. Links generated as
+knowledge-base-shell placeholders are matched
+against the public page title, slug, or alias and rewritten to exact embedded
+`wikiSlug` links. They retain WeKnora's brand-color medium text and dashed
+underline (solid on hover), and switch articles inside the current reader
+without a full-page reload. Data comes
 only from the read-only `/api/public/llmwiki/knowledge-bases/{id}/...` namespace,
 which rechecks `publication_status=published` on every request and denies the
 system conversation-deposit knowledge base. Private or unpublished bases are
-never exposed by this route.
+never exposed by this route. Anonymous consumers can discover the available
+public Wiki libraries through `GET /api/public/llmwiki/knowledge-bases`; each
+entry deliberately contains only the DeerFlow mapping `id` and display `name`.
 
 Wiki management also provides **导出 Excel**. `GET
 /api/llmwiki/knowledge-bases/{id}/wiki/export.xlsx` exports every processed Wiki
diff --git a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
index 799f87a7..cee7b04a 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
@@ -483,6 +483,21 @@ def _safe_response_headers(headers: httpx.Headers) -> dict[str, str]:
     return result
 
 
+def _should_follow_weknora_binary_redirect(path: str) -> bool:
+    """Keep protected preview/image bytes inside the DeerFlow proxy."""
+
+    segments = _path_segments(path)
+    return (
+        len(segments) == 5
+        and segments[:3] == ["api", "v1", "knowledge"]
+        and segments[4] == "preview"
+    ) or (
+        len(segments) == 5
+        and segments[:3] == ["api", "v1", "knowledge-bases"]
+        and segments[4] == "files"
+    )
+
+
 def _forward_request_headers(request: Request) -> dict[str, str]:
     blocked = {
         "host",
@@ -1571,8 +1586,13 @@ async def _proxy_weknora_request(
             headers["X-Tenant-ID"] = tenant_id
 
     url = f"{target_base_url.rstrip('/')}{_encode_upstream_path(upstream_path)}"
+    follow_binary_redirects = is_api and _should_follow_weknora_binary_redirect(upstream_path)
     try:
-        async with httpx.AsyncClient(timeout=httpx.Timeout(60.0), follow_redirects=False, trust_env=False) as client:
+        async with httpx.AsyncClient(
+            timeout=httpx.Timeout(60.0),
+            follow_redirects=follow_binary_redirects,
+            trust_env=False,
+        ) as client:
             response = await client.request(
                 request.method,
                 url,
@@ -1586,7 +1606,11 @@ async def _proxy_weknora_request(
             tenant_id = _tenant_id_from_session(session)
             if tenant_id:
                 headers["X-Tenant-ID"] = tenant_id
-            async with httpx.AsyncClient(timeout=httpx.Timeout(60.0), follow_redirects=False, trust_env=False) as client:
+            async with httpx.AsyncClient(
+                timeout=httpx.Timeout(60.0),
+                follow_redirects=follow_binary_redirects,
+                trust_env=False,
+            ) as client:
                 response = await client.request(
                     request.method,
                     url,
@@ -2417,6 +2441,27 @@ async def test_llmwiki_connection(request: Request, body: LlmWikiConnectionTest)
     return {"success": True, "provider": "weknora", "health": health}
 
 
+@router.get("/api/public/llmwiki/knowledge-bases")
+async def list_public_knowledge_bases(request: Request) -> dict[str, Any]:
+    """List the minimal identity of every knowledge base published as a public Wiki."""
+
+    rows = await _store(request).list_visible(
+        "__public_wiki__",
+        scope="public",
+        is_admin=False,
+    )
+    knowledge_bases = [
+        {
+            "id": str(row["id"]),
+            "name": str(row.get("name") or ""),
+        }
+        for row in rows
+        if row.get("publication_status") == "published"
+        and not _is_conversation_deposit_mapping(row)
+    ]
+    return {"knowledge_bases": knowledge_bases, "total": len(knowledge_bases)}
+
+
 @router.get("/api/public/llmwiki/knowledge-bases/{mapping_id}")
 async def get_public_knowledge_base(request: Request, mapping_id: str) -> dict[str, Any]:
     """Return the safe public metadata used by the chrome-free Wiki reader."""
@@ -2465,6 +2510,89 @@ async def list_public_wiki_pages(
     return {**result, "pages": pages}
 
 
+_PUBLIC_WIKI_INDEX_TYPES = ("summary", "entity", "concept", "synthesis", "comparison")
+
+
+def _public_wiki_index_item(value: Any) -> dict[str, Any] | None:
+    if not isinstance(value, dict):
+        return None
+    slug = str(value.get("slug") or "").strip()
+    if not slug:
+        return None
+    return {
+        "slug": slug,
+        "title": str(value.get("title") or slug),
+        "summary": str(value.get("summary") or ""),
+        "category_path": (
+            [str(item) for item in value.get("category_path", []) if str(item).strip()]
+            if isinstance(value.get("category_path"), list)
+            else []
+        ),
+        "wiki_path": str(value.get("wiki_path") or ""),
+        "depth": int(value.get("depth") or 0),
+    }
+
+
+async def _all_public_wiki_index(client: WeKnoraClient, remote_id: str) -> dict[str, Any]:
+    intro = ""
+    version = 0
+    groups: list[dict[str, Any]] = []
+    for page_type in _PUBLIC_WIKI_INDEX_TYPES:
+        items: list[dict[str, Any]] = []
+        cursor = ""
+        seen_cursors: set[str] = set()
+        total = 0
+        for _page_number in range(100):
+            payload = await client.get_wiki_index(
+                remote_id,
+                types=[page_type],
+                limit=500,
+                cursor=cursor,
+            )
+            intro = intro or str(payload.get("intro") or "")
+            version = max(version, int(payload.get("version") or 0))
+            raw_groups = payload.get("groups") if isinstance(payload.get("groups"), list) else []
+            group = next(
+                (
+                    value
+                    for value in raw_groups
+                    if isinstance(value, dict) and value.get("type") == page_type
+                ),
+                {},
+            )
+            total = max(total, int(group.get("total") or 0))
+            raw_items = group.get("items") if isinstance(group.get("items"), list) else []
+            items.extend(
+                item
+                for value in raw_items
+                if (item := _public_wiki_index_item(value)) is not None
+            )
+            next_cursor = str(group.get("next_cursor") or "")
+            if not next_cursor or next_cursor in seen_cursors:
+                break
+            seen_cursors.add(next_cursor)
+            cursor = next_cursor
+        else:
+            logger.warning(
+                "Stopped public Wiki index pagination at safety limit: mapping_remote_id=%s page_type=%s",
+                remote_id,
+                page_type,
+            )
+        groups.append({"type": page_type, "total": total or len(items), "items": items})
+    return {"intro": intro, "version": version, "groups": groups}
+
+
+@router.get("/api/public/llmwiki/knowledge-bases/{mapping_id}/wiki/index")
+async def get_public_wiki_index(request: Request, mapping_id: str) -> dict[str, Any]:
+    """Return WeKnora's ordered dynamic Wiki index for the public reader."""
+
+    row = await _public_mapping(request, mapping_id)
+    try:
+        return await _all_public_wiki_index(_client_or_503(), str(row["weknora_id"]))
+    except WeKnoraError as exc:
+        _raise_upstream(exc)
+
+
 @router.get("/api/public/llmwiki/knowledge-bases/{mapping_id}/wiki/pages/{slug:path}")
 async def get_public_wiki_page(
     request: Request,
diff --git a/offline-backend-20260512/backend/config.yaml b/offline-backend-20260512/backend/config.yaml
index 83017f68..a8990137 100644
--- a/offline-backend-20260512/backend/config.yaml
+++ b/offline-backend-20260512/backend/config.yaml
@@ -573,6 +573,8 @@ llmwiki:
       model: bge-m3
       base_url: ""
       api_key: ""
+      # Expected BGE-M3 response size for local validation/indexing only.
+      # This value is not sent as an embedding API request parameter.
       dimensions: 1024
       batch_size: 32
       timeout_seconds: 30
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py b/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
index 8e46dbce..45776f0b 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
@@ -58,7 +58,12 @@ class LocalWikiEmbeddingConfig(BaseModel):
     model: str = "bge-m3"
     base_url: str = ""
     api_key: str = Field(default="", repr=False)
-    dimensions: int | None = Field(default=1024, ge=1, le=65536)
+    dimensions: int | None = Field(
+        default=1024,
+        ge=1,
+        le=65536,
+        description="Expected response vector dimensions; not sent to the embedding endpoint.",
+    )
     batch_size: int = Field(default=32, ge=1, le=512)
     timeout_seconds: float = Field(default=30, gt=0, le=300)
     max_retries: int = Field(default=3, ge=0, le=10)
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py
index 620fa1bb..2bd618c1 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py
@@ -492,6 +492,31 @@ class WeKnoraClient:
             raise WeKnoraError("WeKnora returned an invalid Wiki page")
         return dict(value)
 
+    async def get_wiki_index(
+        self,
+        knowledge_base_id: str,
+        *,
+        types: Sequence[str],
+        limit: int = 50,
+        cursor: str = "",
+    ) -> dict[str, Any]:
+        params: dict[str, Any] = {
+            "types": ",".join(value for value in types if value),
+            "limit": max(1, min(limit, 500)),
+        }
+        if cursor:
+            params["cursor"] = cursor
+        value = _data(
+            await self._request(
+                "GET",
+                f"/api/v1/knowledgebase/{quote(knowledge_base_id, safe='')}/wiki/index",
+                params=params,
+            )
+        )
+        if not isinstance(value, dict):
+            raise WeKnoraError("WeKnora returned an invalid Wiki index")
+        return dict(value)
+
     async def create_wiki_page(self, knowledge_base_id: str, payload: Mapping[str, Any]) -> dict[str, Any]:
         value = _data(
             await self._request(
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py
index 65a13a2a..f4b6b8ef 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py
@@ -66,9 +66,11 @@ class StrictWikiEmbeddingClient:
         headers = {"Content-Type": "application/json"}
         if self.config.api_key:
             headers["Authorization"] = f"Bearer {self.config.api_key}"
+        # ``dimensions`` is a local invariant, not a portable request option.
+        # OpenAI-compatible BGE endpoints commonly reject that extra field
+        # with HTTP 400 even though they always return a fixed-size vector.
+        # Keep validating the response against the configured value below.
         payload: dict = {"model": self.config.model, "input": texts}
-        if self.config.dimensions:
-            payload["dimensions"] = self.config.dimensions
         last_error: WikiEmbeddingError | None = None
         for attempt in range(self.config.max_retries + 1):
             started = monotonic()
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py b/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
index 6fa74211..667a1dfe 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
@@ -117,6 +117,23 @@ def test_weknora_url_rejects_credentials_and_non_http_schemes() -> None:
         LlmWikiConfig.model_validate({"weknora": {"api_base_url": "http://user:pass@weknora.local"}})
 
 
+def test_weknora_embed_follows_only_protected_binary_redirects() -> None:
+    from app.gateway.routers import llmwiki as llmwiki_router
+
+    assert llmwiki_router._should_follow_weknora_binary_redirect(
+        "/api/v1/knowledge/doc-one/preview"
+    )
+    assert llmwiki_router._should_follow_weknora_binary_redirect(
+        "/api/v1/knowledge-bases/kb-one/files"
+    )
+    assert not llmwiki_router._should_follow_weknora_binary_redirect(
+        "/api/v1/knowledge/doc-one"
+    )
+    assert not llmwiki_router._should_follow_weknora_binary_redirect(
+        "/api/v1/knowledge-bases/kb-one"
+    )
+
+
 def test_agent_config_tracks_allowed_llmwiki_knowledge_bases() -> None:
     config = AgentConfig(
         name="Research agent",
@@ -547,6 +564,42 @@ async def test_weknora_client_imports_url_manual_content_and_lists_wiki_pages()
     assert pages["pages"][0]["slug"] == "guide"
 
 
+@pytest.mark.asyncio
+async def test_weknora_client_reads_ordered_wiki_index_groups() -> None:
+    async def handler(request: httpx.Request) -> httpx.Response:
+        assert request.url.path == "/api/v1/knowledgebase/kb-one/wiki/index"
+        assert request.url.params["types"] == "entity,concept"
+        assert request.url.params["limit"] == "50"
+        assert request.url.params["cursor"] == "next-page"
+        return httpx.Response(
+            200,
+            json={
+                "data": {
+                    "intro": "# Wiki Index",
+                    "version": 2,
+                    "groups": [
+                        {
+                            "type": "entity",
+                            "total": 1,
+                            "items": [{"slug": "entity/one", "title": "实体一"}],
+                        }
+                    ],
+                }
+            },
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
+        client = WeKnoraClient(base_url="http://weknora.local:8080", http_client=http_client)
+        index = await client.get_wiki_index(
+            "kb-one",
+            types=["entity", "concept"],
+            limit=50,
+            cursor="next-page",
+        )
+
+    assert index["groups"][0]["items"][0]["slug"] == "entity/one"
+
+
 @pytest.mark.asyncio
 async def test_weknora_client_creates_updates_and_deletes_wiki_pages() -> None:
     seen: list[tuple[str, str]] = []
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py b/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
index d13ceaaf..f4e2f725 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
@@ -1,8 +1,12 @@
 from __future__ import annotations
 
+import json
+
+import httpx
 import pytest
 
-from deerflow.config.llmwiki_config import LocalWikiIndexConfig
+from deerflow.config.llmwiki_config import LocalWikiEmbeddingConfig, LocalWikiIndexConfig
+from deerflow.integrations.weknora.local_index.embedding import StrictWikiEmbeddingClient
 from deerflow.integrations.weknora.local_index.sync import WikiSyncService
 from deerflow.integrations.weknora.local_index.vector_cache import WikiVectorCache
 from deerflow.persistence.llmwiki_index.memory import MemoryLlmWikiIndexStore
@@ -53,6 +57,55 @@ class FakeWeKnora:
         return dict(self.pages[slug])
 
 
+@pytest.mark.asyncio
+async def test_configured_dimensions_are_validated_but_not_sent_to_bge() -> None:
+    requests: list[dict] = []
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        payload = json.loads(request.content)
+        requests.append(payload)
+        if "dimensions" in payload:
+            return httpx.Response(400, json={"detail": "dimensions is not supported"})
+        return httpx.Response(
+            200,
+            json={"data": [{"index": 0, "embedding": [1.0, 0.0, 0.0]}]},
+        )
+
+    config = LocalWikiEmbeddingConfig(
+        model="bge-embedding-m3",
+        base_url="http://embedding.test/v1",
+        dimensions=3,
+        max_retries=0,
+    )
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
+        client = StrictWikiEmbeddingClient(config, http_client=http_client)
+        vector = await client.embed_query("Wiki page")
+
+    assert vector == [1.0, 0.0, 0.0]
+    assert requests == [{"model": "bge-embedding-m3", "input": ["Wiki page"]}]
+
+
+@pytest.mark.asyncio
+async def test_omitted_dimensions_are_discovered_from_first_response() -> None:
+    def handler(request: httpx.Request) -> httpx.Response:
+        return httpx.Response(
+            200,
+            json={"data": [{"index": 0, "embedding": [0.0, 1.0]}]},
+        )
+
+    config = LocalWikiEmbeddingConfig(
+        model="bge-embedding-m3",
+        base_url="http://embedding.test/v1",
+        dimensions=None,
+        max_retries=0,
+    )
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
+        client = StrictWikiEmbeddingClient(config, http_client=http_client)
+        await client.embed_query("dimension probe")
+
+    assert client.dimensions == 2
+
+
 @pytest.mark.asyncio
 async def test_sync_is_incremental_and_full_scan_deletes_missing_pages() -> None:
     config = LocalWikiIndexConfig(chunk_min_chars=10, min_similarity=0)
diff --git a/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py b/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
index 5c43a851..10c63e8b 100644
--- a/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
+++ b/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
@@ -38,6 +38,22 @@ class PublicStore:
         return self.row
 
 
+class PublicListStore:
+    def __init__(self, rows: list[dict[str, object]]) -> None:
+        self.rows = rows
+        self.calls: list[tuple[str, str, bool]] = []
+
+    async def list_visible(
+        self,
+        user_id: str,
+        *,
+        scope: str,
+        is_admin: bool,
+    ) -> list[dict[str, object]]:
+        self.calls.append((user_id, scope, is_admin))
+        return self.rows
+
+
 def _published_row() -> dict[str, object]:
     return {
         "id": "kb-one",
@@ -50,6 +66,39 @@ def _published_row() -> dict[str, object]:
     }
 
 
+@pytest.mark.asyncio
+async def test_public_knowledge_base_list_exposes_only_published_wiki_identity() -> None:
+    store = PublicListStore(
+        [
+            {
+                **_published_row(),
+                "id": "1063edee-332a-43b4-bbd9-73bf0a708b94",
+                "owner_user_id": "secret-owner",
+            },
+            {**_published_row(), "id": "private-kb", "publication_status": "private"},
+            {
+                **_published_row(),
+                "id": "conversation-deposit",
+                "owner_user_id": "system",
+                "name": "对话沉淀",
+            },
+        ]
+    )
+
+    payload = await llmwiki.list_public_knowledge_bases(_request(store))
+
+    assert store.calls == [("__public_wiki__", "public", False)]
+    assert payload == {
+        "knowledge_bases": [
+            {
+                "id": "1063edee-332a-43b4-bbd9-73bf0a708b94",
+                "name": "公开知识库",
+            }
+        ],
+        "total": 1,
+    }
+
+
 @pytest.mark.asyncio
 async def test_public_wiki_reader_uses_anonymous_non_admin_authorization(monkeypatch) -> None:
     store = PublicStore(_published_row())
@@ -126,3 +175,81 @@ async def test_public_wiki_page_list_is_normalized(monkeypatch) -> None:
 
     assert payload["pages"][0]["slug"] == "guide/start"
     assert payload["pages"][0]["aliases"] == []
+
+
+@pytest.mark.asyncio
+async def test_public_wiki_index_preserves_weknora_group_and_item_order(monkeypatch) -> None:
+    store = PublicStore(_published_row())
+    calls: list[tuple[tuple[str, ...], str]] = []
+
+    class Client:
+        async def get_wiki_index(
+            self,
+            knowledge_base_id: str,
+            *,
+            types: list[str],
+            limit: int,
+            cursor: str,
+        ):
+            assert knowledge_base_id == "remote-one"
+            assert limit == 500
+            page_type = types[0]
+            calls.append((tuple(types), cursor))
+            if page_type == "concept" and not cursor:
+                return {
+                    "intro": "# Wiki Index\n\n公开目录",
+                    "version": 3,
+                    "groups": [
+                        {
+                            "type": "concept",
+                            "total": 2,
+                            "next_cursor": "concept-next",
+                            "items": [
+                                {
+                                    "slug": "concept/first",
+                                    "title": "第一项",
+                                    "summary": "第一项摘要",
+                                    "category_path": ["流程图", "规范"],
+                                }
+                            ],
+                        }
+                    ],
+                }
+            if page_type == "concept":
+                return {
+                    "intro": "# Wiki Index\n\n公开目录",
+                    "version": 3,
+                    "groups": [
+                        {
+                            "type": "concept",
+                            "total": 2,
+                            "items": [
+                                {
+                                    "slug": "concept/second",
+                                    "title": "第二项",
+                                    "summary": "第二项摘要",
+                                    "category_path": ["流程图", "规范"],
+                                }
+                            ],
+                        }
+                    ],
+                }
+            return {
+                "intro": "# Wiki Index\n\n公开目录",
+                "version": 3,
+                "groups": [{"type": page_type, "total": 0, "items": []}],
+            }
+
+    monkeypatch.setattr(llmwiki, "_client_or_503", lambda: Client())
+
+    payload = await llmwiki.get_public_wiki_index(_request(store), "kb-one")
+
+    concept = next(group for group in payload["groups"] if group["type"] == "concept")
+    assert payload["intro"] == "# Wiki Index\n\n公开目录"
+    assert payload["version"] == 3
+    assert [item["slug"] for item in concept["items"]] == [
+        "concept/first",
+        "concept/second",
+    ]
+    assert concept["total"] == 2
+    assert (("concept",), "concept-next") in calls

From 0c5e2e8cb0d722a24cd2ddcd79c4aeccfb30818e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=89=E9=91=AB=E5=8D=87?= <xsji@kland.com.cn>
Date: Tue, 25 Aug 2026 11:24:01 +0800
Subject: [PATCH 2/5] fix: restore embedded wiki images and optimize vector
 sync

---
 .../src/core/llmwiki/wiki-page-markdown.ts    |  28 ++++
 .../src/strategy-components/api/llmwiki.ts    |  17 +++
 .../llmwiki/WeKnoraSourceDrawer.tsx           |  22 ++-
 .../llmwiki/WeKnoraWikiPageView.tsx           |  15 +-
 .../llmwiki/WikiProtectedImage.tsx            |  75 ++++++++++
 offline-backend-20260512/backend/CLAUDE.md    |  15 +-
 offline-backend-20260512/backend/README.md    |  22 ++-
 .../backend/app/gateway/app.py                |   2 +-
 .../backend/app/gateway/deps.py               |   7 +-
 .../app/gateway/llmwiki_index_scheduler.py    |   6 +-
 .../backend/app/gateway/routers/llmwiki.py    | 133 +++++++++++++++++-
 .../app/gateway/routers/llmwiki_index.py      |   4 +
 offline-backend-20260512/backend/config.yaml  |  40 +-----
 .../LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md |  60 ++------
 .../harness/deerflow/config/llmwiki_config.py |  28 +++-
 .../deerflow/integrations/weknora/client.py   |  47 ++++++-
 .../weknora/local_index/embedding.py          |  43 +++++-
 .../persistence/llmwiki_index/__init__.py     |   8 +-
 .../deerflow/persistence/llmwiki_index/sql.py |  46 +++---
 .../test_llmwiki_local_index_repository.py    |  17 ++-
 .../backend/tests/test_llmwiki_weknora.py     |  22 +++
 .../backend/tests/test_llmwiki_wiki_sync.py   |  57 ++++++++
 .../tests/test_public_llmwiki_embed.py        |  31 ++++
 23 files changed, 609 insertions(+), 136 deletions(-)
 create mode 100644 frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx

diff --git a/frontend-web/src/core/llmwiki/wiki-page-markdown.ts b/frontend-web/src/core/llmwiki/wiki-page-markdown.ts
index 4ee93185..17a2a60f 100644
--- a/frontend-web/src/core/llmwiki/wiki-page-markdown.ts
+++ b/frontend-web/src/core/llmwiki/wiki-page-markdown.ts
@@ -37,6 +37,34 @@ const WIKI_INDEX_TYPE_LABELS: Record<string, string> = {
 
 const WIKI_INDEX_TYPE_ORDER = ["summary", "entity", "concept"];
 
+export const WIKI_PROTECTED_IMAGE_MARKER = "/__llmwiki-protected-image__";
+
+const PROTECTED_WIKI_IMAGE_SOURCE =
+  /(?:storage:\/\/[0-9A-Za-z_-]+\/)?(?:resource|local|minio|cos|tos|s3|oss|ks3|obs):\/\/[^\s"'<>\])]+/gi;
+
+/**
+ * Browsers cannot load WeKnora's protected resource:// and object-storage
+ * schemes directly. Replace them with a safe marker before Markdown
+ * sanitization; the image component resolves that marker through DeerFlow.
+ */
+export function rewriteProtectedWikiImageSources(markdown: string): string {
+  return markdown.replace(
+    PROTECTED_WIKI_IMAGE_SOURCE,
+    (filePath) => `${WIKI_PROTECTED_IMAGE_MARKER}?file_path=${encodeURIComponent(filePath)}`,
+  );
+}
+
+export function parseProtectedWikiImageSource(source: string | undefined): string | null {
+  if (!source) return null;
+  try {
+    const url = new URL(source, window.location.origin);
+    if (url.pathname !== WIKI_PROTECTED_IMAGE_MARKER) return null;
+    return url.searchParams.get("file_path")?.trim() || null;
+  } catch {
+    return null;
+  }
+}
+
 export function stripWikiFrontmatter(value: string) {
   return value.replace(/^\s*---\s*\n[\s\S]*?\n---\s*(?:\n|$)/, "").trim();
 }
diff --git a/frontend-web/src/strategy-components/api/llmwiki.ts b/frontend-web/src/strategy-components/api/llmwiki.ts
index d7df1d9f..5b8f16c9 100644
--- a/frontend-web/src/strategy-components/api/llmwiki.ts
+++ b/frontend-web/src/strategy-components/api/llmwiki.ts
@@ -444,6 +444,23 @@ export async function getLlmWikiDocumentPreview(
   return response.blob();
 }
 
+export async function getLlmWikiProtectedFile(
+  knowledgeBaseId: string,
+  filePath: string,
+  publicAccess = false,
+): Promise<Blob> {
+  const base = publicAccess ? PUBLIC_API() : API();
+  const params = new URLSearchParams({ file_path: filePath });
+  const response = await apiFetch(
+    `${base}/knowledge-bases/${encodeURIComponent(knowledgeBaseId)}/files?${params.toString()}`,
+  );
+  if (!response.ok) {
+    await readJson<void>(response, "读取 Wiki 图片");
+    throw new Error("读取 Wiki 图片失败");
+  }
+  return response.blob();
+}
+
 export async function getLlmWikiGraph(knowledgeBaseId: string): Promise<LlmWikiGraph> {
   return readJson(
     await apiFetch(`${API()}/knowledge-bases/${encodeURIComponent(knowledgeBaseId)}/graph?limit=200`),
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx
index 272457d2..d013fa9c 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraSourceDrawer.tsx
@@ -33,6 +33,7 @@ import { reasoningPlugins } from "@/core/streamdown";
 import {
   exportableWikiMarkdown,
   renderableWikiMarkdown,
+  rewriteProtectedWikiImageSources,
   safeWikiFileName,
   stripWikiFrontmatter,
   wikiLinkMarkdown,
@@ -49,6 +50,7 @@ import {
   type LlmWikiDocument,
   type LlmWikiWikiPage,
 } from "@/strategy-components/api/llmwiki";
+import { WikiProtectedImage } from "./WikiProtectedImage";
 
 type SourceContextResponse = {
   success?: boolean;
@@ -926,10 +928,18 @@ export function WeKnoraSourceDrawer({
                     </div>
                     <MarkdownContent
                       className="max-w-none"
-                      content={preview.text}
+                      content={rewriteProtectedWikiImageSources(preview.text)}
                       isLoading={false}
                       remarkPlugins={reasoningPlugins.remarkPlugins}
                       rehypePlugins={reasoningPlugins.rehypePlugins}
+                      components={{
+                        img: (props) => (
+                          <WikiProtectedImage
+                            {...props}
+                            knowledgeBaseId={target?.knowledgeBaseId || ""}
+                          />
+                        ),
+                      }}
                     />
                   </article>
                 </section>
@@ -964,10 +974,18 @@ export function WeKnoraSourceDrawer({
                   <div className="rounded-lg border bg-background p-5">
                     <MarkdownContent
                       className="max-w-none"
-                      content={wikiDisplayContent}
+                      content={rewriteProtectedWikiImageSources(wikiDisplayContent)}
                       isLoading={false}
                       remarkPlugins={reasoningPlugins.remarkPlugins}
                       rehypePlugins={reasoningPlugins.rehypePlugins}
+                      components={{
+                        img: (props) => (
+                          <WikiProtectedImage
+                            {...props}
+                            knowledgeBaseId={target?.knowledgeBaseId || ""}
+                          />
+                        ),
+                      }}
                       linkClassName={(href) =>
                         parseWeKnoraPreviewUrl(href)?.wikiSlug
                           ? "wiki-content-link font-medium text-[#be2323] decoration-[#be2323]/55 decoration-dashed hover:decoration-solid"
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
index 1a6bd740..b2af1866 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
@@ -35,6 +35,7 @@ import { markdownToDocxBlob } from "@/core/scheduled-tasks/markdown-docx";
 import {
   exportableWikiMarkdown,
   renderableWikiMarkdown,
+  rewriteProtectedWikiImageSources,
   safeWikiFileName,
   stripWikiFrontmatter,
   wikiLinkMarkdown,
@@ -49,6 +50,7 @@ import {
   usePublicLlmWikiWikiPage,
   usePublicLlmWikiWikiPages,
 } from "@/strategy-components/api/llmwiki";
+import { WikiProtectedImage } from "./WikiProtectedImage";
 
 const LIST_PATH = "/page/workspace/knowledge";
 
@@ -209,7 +211,7 @@ export function WeKnoraWikiPageView({
       : pageData?.content,
   ));
   const displayMarkdown = pageData
-    ? renderableWikiMarkdown(
+    ? rewriteProtectedWikiImageSources(renderableWikiMarkdown(
         title,
         content,
         noteId,
@@ -222,7 +224,7 @@ export function WeKnoraWikiPageView({
           : undefined,
         publicEmbed ? pagesList : [],
         publicEmbed ? publicWikiIndex.data?.groups || [] : [],
-      )
+      ))
     : "";
   const exportMarkdown = pageData
     ? wikiLinkMarkdown(exportableWikiMarkdown(title, summary, content), noteId)
@@ -497,6 +499,15 @@ export function WeKnoraWikiPageView({
                 isLoading={false}
                 remarkPlugins={reasoningPlugins.remarkPlugins}
                 rehypePlugins={reasoningPlugins.rehypePlugins}
+                components={{
+                  img: (props) => (
+                    <WikiProtectedImage
+                      {...props}
+                      knowledgeBaseId={noteId}
+                      publicAccess={publicEmbed}
+                    />
+                  ),
+                }}
                 linkClassName={(href) =>
                   publicEmbed && publicWikiTargetFromHref(href, noteId)
                     ? "wiki-content-link border-b border-dashed !border-[var(--primary)] font-medium !text-primary !no-underline hover:border-solid focus-visible:rounded-sm focus-visible:outline-2 focus-visible:outline-offset-2 focus-visible:outline-primary"
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx
new file mode 100644
index 00000000..816aeecf
--- /dev/null
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx
@@ -0,0 +1,75 @@
+import { ImageOff, Loader2 } from "lucide-react";
+import { type ImgHTMLAttributes, useEffect, useState } from "react";
+
+import { parseProtectedWikiImageSource } from "@/core/llmwiki/wiki-page-markdown";
+import { getLlmWikiProtectedFile } from "@/strategy-components/api/llmwiki";
+
+type WikiProtectedImageProps = ImgHTMLAttributes<HTMLImageElement> & {
+  knowledgeBaseId: string;
+  publicAccess?: boolean;
+};
+
+export function WikiProtectedImage({
+  knowledgeBaseId,
+  publicAccess = false,
+  src,
+  alt,
+  className,
+  ...props
+}: WikiProtectedImageProps) {
+  const filePath = parseProtectedWikiImageSource(src);
+  const [objectUrl, setObjectUrl] = useState("");
+  const [error, setError] = useState("");
+
+  useEffect(() => {
+    if (!filePath || !knowledgeBaseId) {
+      setObjectUrl("");
+      setError("");
+      return;
+    }
+    let cancelled = false;
+    let nextObjectUrl = "";
+    setObjectUrl("");
+    setError("");
+    void getLlmWikiProtectedFile(knowledgeBaseId, filePath, publicAccess)
+      .then((blob) => {
+        if (cancelled) return;
+        nextObjectUrl = URL.createObjectURL(blob);
+        setObjectUrl(nextObjectUrl);
+      })
+      .catch((reason: unknown) => {
+        if (!cancelled) {
+          setError(reason instanceof Error ? reason.message : "Wiki 图片加载失败");
+        }
+      });
+    return () => {
+      cancelled = true;
+      if (nextObjectUrl) URL.revokeObjectURL(nextObjectUrl);
+    };
+  }, [filePath, knowledgeBaseId, publicAccess]);
+
+  if (!filePath) {
+    return <img {...props} src={src} alt={alt} className={className} />;
+  }
+  if (error) {
+    return (
+      <span
+        className="my-3 flex min-h-24 items-center justify-center gap-2 rounded-lg border border-dashed bg-muted/40 px-4 text-sm text-muted-foreground"
+        data-wiki-image-error={error}
+        role="img"
+        aria-label={alt || "Wiki 图片加载失败"}
+      >
+        <ImageOff className="size-5" />
+        {alt || "Wiki 图片加载失败"}
+      </span>
+    );
+  }
+  if (!objectUrl) {
+    return (
+      <span className="my-3 flex min-h-24 items-center justify-center rounded-lg bg-muted/30 text-muted-foreground">
+        <Loader2 className="size-5 animate-spin" aria-label="正在加载 Wiki 图片" />
+      </span>
+    );
+  }
+  return <img {...props} src={objectUrl} alt={alt} className={className} />;
+}
diff --git a/offline-backend-20260512/backend/CLAUDE.md b/offline-backend-20260512/backend/CLAUDE.md
index 6d44c4ea..98ba14f4 100644
--- a/offline-backend-20260512/backend/CLAUDE.md
+++ b/offline-backend-20260512/backend/CLAUDE.md
@@ -1016,6 +1016,11 @@ Both can be modified at runtime via Gateway API endpoints or `DeerFlowClient` me
 `llmwiki.weknora.api_base_url` is the provider switch: non-empty enables WeKnora, empty preserves the legacy LLMWiki UI. WeKnora is independently deployed and owns PostgreSQL/Redis/object storage/vector storage/parsers/models; DeerFlow config contains only `api_base_url` and optional `web_base_url`. DeerFlow deliberately sends no WeKnora credential, so the WeKnora endpoint must be restricted to a trusted network and allow DeerFlow traffic itself or through its reverse proxy. There is intentionally no `default_embedding_model_id`: `WeKnoraClient` queries `/api/v1/models` and uses WeKnora's active Embedding model when creating a KB; Wiki creation additionally resolves an active KnowledgeQA model inside WeKnora for synthesis. The native BFF is `app/gateway/routers/llmwiki.py`; ownership/publication mappings live in `deerflow.persistence.llmwiki`; the browser only sees DeerFlow mapping IDs. Knowledge-base owners publish immediately (`private` -> `published`) without a review queue, and can unpublish ordinary bases. The conversation-deposit KB is system-owned, always published, shared by all DeerFlow users, excluded from My Knowledge, and immutable through user/admin detail operations; recognition requires both the reserved name and `system` owner. Existing same-name remote mappings are adopted in place as the system deposit, preserving mapping ids and document links. Its user-facing description, generated Markdown source and tags use `cmzs` branding; list/detail reads synchronize stale remote descriptions, and search results, source previews and embedded-detail JSON recursively replace legacy brand text in historical conversation-deposit payloads. Deposit requests must reference a thread accessible to the current account. Personal knowledge-base list/search views are scoped to the current DeerFlow account even for admins; frontend LLMWiki caches include the live account id, and admin write power does not make other users' private KBs appear as owned. Only `system_role === "admin"` sees the WeKnora connection-config tab. Knowledge cards navigate to a dedicated WeKnora-style detail route. Wiki-enabled bases render and default to `Wiki -> documents -> graph`; standard bases omit Wiki and render `documents -> graph`. The detail page supports sequential multi-file upload with an aggregate result for writable ordinary bases, hides it for public read-only/system-deposit bases, and uses a generic loading label while the embed session starts. It also supports URL and published manual-Markdown imports, browses real Wiki pages/content, proxies authenticated original-file previews, pages through `/chunks/{knowledge_id}`, and renders the Wiki page graph from `/knowledgebase/{kb_id}/wiki/graph`; document details use a right sheet rather than the removed KB modal. The credential-free proxy uses one WeKnora service identity, so per-user separation is enforced by DeerFlow mappings while all remote KBs physically share that identity's WeKnora workspace. WeKnora iframe detail pages first call `/api/llmwiki/knowledge-bases/{id}/weknora/session` through the normal DeerFlow API auth path, then load `/platform/knowledge-bases/{weknora_id}` with a signed `deerflow_weknora_embed` cookie for `/platform`, `/assets`, `/locales`, root assets, and API calls. Injected fetch/XHR rewriting sends all iframe `/api/v1/*`, including colliding `/api/v1/auth/*`, through `/api/llmwiki/weknora-embed/api/v1/*`; Gateway auth/CSRF bypass only applies to those signed iframe proxy requests, the proxy still revalidates the mapped KB, and cookie security honors `X-Forwarded-Proto` for HTTPS reverse proxies. `llmwiki_search` is conditionally registered in `tools.py`, is read-only, and rechecks the current DeerFlow user, agent `llmwiki_knowledge_base_ids`, and thread-context selection on every call. Source previews prefer the cleaned Wiki/LLMWiki page text when a retrieved chunk maps to a Wiki page, with raw split chunks as the fallback. Agent bindings use an inline WeKnora-style searchable/grouped multi-select in the standard agent create/detail UI; new chats use the same interaction pattern as a compact composer dropdown, and selections are written to thread metadata/context and restored on reopen. The DeerFlow frontend is native React and the WeKnora frontend is not modified or embedded. Full deployment and behavior notes: `docs/LLMWIKI_WEKNORA_INTEGRATION_ZH.md`. Tests: `tests/test_llmwiki_weknora.py`.
 
 The embedded detail proxy hides WeKnora's outer `.main > .aside_box` application sidebar and expands the route outlet, but deliberately keeps the Wiki page's internal directory/index sidebar. Do not add an HTML `sandbox` attribute to this trusted, permission-filtered detail iframe: a sandboxed ancestor causes Chromium's built-in Blob PDF viewer to render the browser-blocked page. The Gateway follows upstream redirects only for `/knowledge/{id}/preview` and `/knowledge-bases/{id}/files`, keeping PDF bytes and protected Wiki images inside the signed proxy instead of sending the browser to WeKnora object storage.
+Native/private and public Wiki readers must rewrite protected Markdown image
+sources to their mapping-scoped DeerFlow `/files?file_path=` endpoints and load
+them as Blob URLs. The embedded guard also rewrites protected fetch/XHR values
+and hydrates late `img[data-protected-src]` placeholders; never expose the
+service token or relax the current-KB authorization to make images work.
 
 **Embedded native knowledge-base switching:** The original WeKnora breadcrumb picker remains available inside the detail iframe. A signed 15-minute embed cookie carries only the current DeerFlow user's visible mappings (their own plus published bases); the proxied `/api/v1/knowledge-bases` response is filtered to that allowlist. Choosing another entry performs a full iframe navigation, rechecks the DeerFlow mapping and read/write permission, then reissues the cookie for the selected base. Never expose the upstream service-admin list directly or permit an arbitrary remote knowledge-base ID.
 
@@ -1442,8 +1447,10 @@ detail. Never call `/knowledge-search` from internal search, RAG, or the
 `deerflow.integrations.weknora.local_index` and
 `deerflow.persistence.llmwiki_index`; preserve the harness → app import
 firewall. Gateway composition injects the store/search/sync services through
-`local_index.runtime`, and the lease-protected scheduler starts only when both
-`enabled` and `sync_enabled` are true.
+`local_index.runtime`. `enabled` turns on local vector search and manual
+vectorization; `auto_sync` is the separate opt-in for the lease-protected
+scheduler. The scheduler sleeps for one full configured interval before its
+first scan, so application startup must never trigger immediate vectorization.
 
 Vectors are normalized little-endian float32 BLOBs. A page mirror and all of
 its vectors are replaced in one transaction only after strict batched
@@ -1456,6 +1463,10 @@ input, not an outbound API field: fixed-dimension BGE/OpenAI-compatible
 endpoints can reject a `dimensions` request parameter with HTTP 400. When the
 value is omitted, the embedding client probes and freezes the first response's
 dimension before sync lease/rebuild decisions.
+Embedding errors must retain the upstream status and bounded response body in
+logs, without exposing API keys. SQL vector writes are split into statements
+of at most `database_batch_size` rows (default 50) inside the same atomic page
+replacement transaction.
 During a fingerprint rebuild the mapping uses the Wiki-page API until every
 page is successfully rebuilt. `WikiRetrievalService` partitions mixed requests
 per mapping, so ready libraries stay local while incomplete libraries use that
diff --git a/offline-backend-20260512/backend/README.md b/offline-backend-20260512/backend/README.md
index fa14f92a..56d091ad 100644
--- a/offline-backend-20260512/backend/README.md
+++ b/offline-backend-20260512/backend/README.md
@@ -777,15 +777,24 @@ processed Wiki content. A knowledge base uses exact NumPy cosine similarity
 only after its whole Wiki has completed one coherent vectorization pass; until
 then internal search calls WeKnora's Wiki-page search/list API and reads the
 matched Wiki pages. It never falls back to raw documents or chunks. The local
-vector feature is disabled by default. Configure
-`llmwiki.local_wiki_index.embedding` first, then enable `enabled`,
-`sync_enabled`, and `internal_search_enabled` in `config.yaml`.
+vector feature is disabled by default. Configure the three
+`llmwiki.local_wiki_index.embedding` values (`model`, `base_url`, and
+`api_key`), then change only `enabled` to `true` in `config.yaml`. Manual
+vectorization is the default. Set `auto_sync: true` only when periodic
+background synchronization is wanted; the scheduler waits one full interval
+after startup before its first scan, so boot does not trigger a rebuild.
+`database_batch_size` caps each vector insert statement (default `50`) while
+the page replacement remains atomic, preventing a large Wiki from flooding
+the SQL connection in one statement.
 The optional `embedding.dimensions` value is used only to validate the returned
 vector size and build the index fingerprint; it is deliberately not sent in
 the embedding request because fixed-dimension BGE/OpenAI-compatible endpoints
 may reject that extra field with HTTP 400. Omit it to discover the dimension
 from the first successful response.
 
+Embedding failures log the upstream HTTP status and a bounded response body.
+The client never sends a `dimensions` request parameter.
+
 The migration creates `llmwiki_wiki_pages`, `llmwiki_wiki_vectors`, and
 `llmwiki_wiki_sync_states`. Wiki Markdown and normalized float32 vectors are
 stored in DeerFlow's configured SQL database. Multi-worker sync is protected by
@@ -839,6 +848,13 @@ system conversation-deposit knowledge base. Private or unpublished bases are
 never exposed by this route. Anonymous consumers can discover the available
 public Wiki libraries through `GET /api/public/llmwiki/knowledge-bases`; each
 entry deliberately contains only the DeerFlow mapping `id` and display `name`.
+Protected `resource://` and supported object-storage images are fetched through
+the current mapping instead of being exposed as upstream URLs. Authenticated
+readers use `GET /api/llmwiki/knowledge-bases/{id}/files?file_path=...`; public
+readers use the corresponding `/api/public/llmwiki/...` route, which requires a
+published mapping. The embedded WeKnora guard applies the same mapping-scoped
+proxy to document previews and Markdown images, including images inserted after
+the drawer/page first renders.
 
 Wiki management also provides **导出 Excel**. `GET
 /api/llmwiki/knowledge-bases/{id}/wiki/export.xlsx` exports every processed Wiki
diff --git a/offline-backend-20260512/backend/app/gateway/app.py b/offline-backend-20260512/backend/app/gateway/app.py
index 315d1729..a37b031f 100644
--- a/offline-backend-20260512/backend/app/gateway/app.py
+++ b/offline-backend-20260512/backend/app/gateway/app.py
@@ -998,7 +998,7 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
         local_wiki_index = app.state.config.llmwiki.local_wiki_index
         if (
             local_wiki_index.enabled
-            and local_wiki_index.sync_enabled
+            and local_wiki_index.auto_sync
             and getattr(app.state, "llmwiki_sync_service", None) is not None
         ):
             from app.gateway.llmwiki_index_scheduler import local_wiki_index_scheduler_loop
diff --git a/offline-backend-20260512/backend/app/gateway/deps.py b/offline-backend-20260512/backend/app/gateway/deps.py
index e76c54ea..1a1287e7 100644
--- a/offline-backend-20260512/backend/app/gateway/deps.py
+++ b/offline-backend-20260512/backend/app/gateway/deps.py
@@ -321,13 +321,16 @@ async def langgraph_runtime(app: FastAPI) -> AsyncGenerator[None, None]:
         from deerflow.integrations.weknora.local_index.runtime import register_local_wiki_index_runtime
         from deerflow.persistence.llmwiki_index import make_llmwiki_index_store
 
-        app.state.llmwiki_index_store = make_llmwiki_index_store(sf)
+        local_index_config = config.llmwiki.local_wiki_index
+        app.state.llmwiki_index_store = make_llmwiki_index_store(
+            sf,
+            write_batch_size=local_index_config.database_batch_size,
+        )
         app.state.llmwiki_embedding = None
         app.state.llmwiki_vector_cache = None
         app.state.llmwiki_vector_search = None
         app.state.llmwiki_sync_service = None
         app.state.llmwiki_retrieval_service = None
-        local_index_config = config.llmwiki.local_wiki_index
         from deerflow.integrations.weknora.runtime import build_weknora_client, get_resolved_llmwiki_runtime
 
         resolved_llmwiki = get_resolved_llmwiki_runtime(config)
diff --git a/offline-backend-20260512/backend/app/gateway/llmwiki_index_scheduler.py b/offline-backend-20260512/backend/app/gateway/llmwiki_index_scheduler.py
index 8964378e..a5363b21 100644
--- a/offline-backend-20260512/backend/app/gateway/llmwiki_index_scheduler.py
+++ b/offline-backend-20260512/backend/app/gateway/llmwiki_index_scheduler.py
@@ -48,6 +48,10 @@ async def _sync_once(app: FastAPI) -> None:
 
 async def local_wiki_index_scheduler_loop(app: FastAPI) -> None:
     interval = app.state.config.llmwiki.local_wiki_index.sync_interval_seconds
+    logger.info(
+        "Local Wiki auto-sync scheduler started; first scan delayed by %s seconds",
+        interval,
+    )
     while True:
-        await _sync_once(app)
         await asyncio.sleep(interval)
+        await _sync_once(app)
diff --git a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
index cee7b04a..560dadfd 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
@@ -61,6 +61,10 @@ router = APIRouter(tags=["llmwiki"])
 proxy_router = APIRouter(tags=["llmwiki-proxy"])
 
 _MAX_UPLOAD_BYTES = 100 * 1024 * 1024
+_PROTECTED_WIKI_FILE_PATH = re.compile(
+    r"^(?:storage://[0-9A-Za-z_-]+/)?(?:resource|local|minio|cos|tos|s3|oss|ks3|obs)://",
+    re.IGNORECASE,
+)
 _WEKNORA_ADMIN_SESSION_CACHE: dict[str, dict[str, Any]] = {}
 _WEKNORA_PUBLIC_PREFIX = "/deerflow"
 _WEKNORA_PUBLIC_ROOT_PATHS = (
@@ -242,7 +246,7 @@ def _store(request: Request) -> LlmWikiStore:
 def _schedule_local_wiki_sync(request: Request, mapping: dict[str, Any]) -> None:
     service = getattr(request.app.state, "llmwiki_sync_service", None)
     config = request.app.state.config.llmwiki.local_wiki_index
-    if service is not None and config.enabled and mapping.get("wiki_index_enabled", True):
+    if service is not None and config.enabled and config.auto_sync and mapping.get("wiki_index_enabled", True):
         from app.gateway.llmwiki_index_scheduler import spawn_local_wiki_index_job
 
         spawn_local_wiki_index_job(request.app, service.sync_mapping(mapping, force=True))
@@ -1085,6 +1089,8 @@ html.deerflow-source-detail-open [data-deerflow-source-detail-panel="true"] [cla
 
   function rewriteApiUrl(value) {{
     try {{
+      const protectedUrl = protectedImageApiUrl(value);
+      if (protectedUrl) return protectedUrl;
       const next = new URL(value, location.origin);
       if (next.origin !== location.origin) return value;
       const publicPrefix = cfg.publicPrefix || "";
@@ -1104,6 +1110,19 @@ html.deerflow-source-detail-open [data-deerflow-source-detail-panel="true"] [cla
       return value;
     }}
   }}
+  function protectedImageApiUrl(value) {{
+    const raw = String(value || "").trim();
+    if (!/^(?:storage:\\/\\/[0-9A-Za-z_-]+\\/)?(?:resource|local|minio|cos|tos|s3|oss|ks3|obs):\\/\\//i.test(raw)) {{
+      return "";
+    }}
+    const endpoint =
+      cfg.apiPrefix +
+      "/api/v1/knowledge-bases/" +
+      encodeURIComponent(cfg.weknoraId) +
+      "/files?file_path=" +
+      encodeURIComponent(raw);
+    return new URL(endpoint, location.origin).href;
+  }}
   const nativeFetch = window.fetch.bind(window);
   window.fetch = (input, init) => {{
     if (input instanceof Request) {{
@@ -1116,6 +1135,67 @@ html.deerflow-source-detail-open [data-deerflow-source-detail-panel="true"] [cla
     return nativeXhrOpen.call(this, method, rewriteApiUrl(url), ...rest);
   }};
 
+  // WeKnora renders protected Markdown images as transparent placeholders and
+  // hydrates them asynchronously.  In an embedded page that hydration can run
+  // before its own API client has picked up our proxy prefix, leaving a 1x1
+  // GIF forever.  Resolve the same protected source through the scoped proxy
+  // as a fallback.  The backend validates the scheme and current KB again.
+  function hydrateProtectedImage(image) {{
+    const protectedSrc = String(image?.getAttribute?.("data-protected-src") || "").trim();
+    const proxyUrl = protectedImageApiUrl(protectedSrc);
+    if (!proxyUrl) return;
+    if (
+      image.dataset.deerflowProtectedSource === protectedSrc &&
+      String(image.getAttribute("src") || "").startsWith("blob:")
+    ) return;
+    const attempts = Number(image.dataset.deerflowProtectedAttempts || "0");
+    if (attempts >= 3 || image.dataset.deerflowProtectedLoading === "1") return;
+    image.dataset.deerflowProtectedLoading = "1";
+    image.dataset.deerflowProtectedAttempts = String(attempts + 1);
+    nativeFetch(proxyUrl, {{ credentials: "same-origin", headers: {{ Accept: "image/*" }} }})
+      .then((response) => {{
+        if (!response.ok) throw new Error(`protected image request failed (${{response.status}})`);
+        return response.blob();
+      }})
+      .then((blob) => {{
+        const objectUrl = URL.createObjectURL(blob);
+        image.dataset.deerflowProtectedSource = protectedSrc;
+        image.removeAttribute("data-img-loading");
+        image.removeAttribute("data-wiki-image-error");
+        image.src = objectUrl;
+        image.addEventListener("load", () => URL.revokeObjectURL(objectUrl), {{ once: true }});
+      }})
+      .catch(() => {{
+        image.dataset.wikiImageError = "true";
+        window.setTimeout(() => {{
+          delete image.dataset.deerflowProtectedLoading;
+          hydrateProtectedImage(image);
+        }}, 1200 * (attempts + 1));
+      }})
+      .finally(() => {{
+        delete image.dataset.deerflowProtectedLoading;
+      }});
+  }}
+  function hydrateProtectedImages(scope = document) {{
+    if (scope?.matches?.("img[data-protected-src]")) hydrateProtectedImage(scope);
+    scope?.querySelectorAll?.("img[data-protected-src]").forEach(hydrateProtectedImage);
+  }}
+  const protectedImageObserver = new MutationObserver((mutations) => {{
+    mutations.forEach((mutation) => {{
+      if (mutation.type === "attributes") hydrateProtectedImage(mutation.target);
+      mutation.addedNodes?.forEach((node) => {{
+        if (node?.nodeType === Node.ELEMENT_NODE) hydrateProtectedImages(node);
+      }});
+    }});
+  }});
+  protectedImageObserver.observe(document.documentElement, {{
+    childList: true,
+    subtree: true,
+    attributes: true,
+    attributeFilter: ["data-protected-src"]
+  }});
+  hydrateProtectedImages();
+
   function tone(color, alpha) {{
     return `color-mix(in srgb, ${{color}} ${{Math.round(alpha * 100)}}%, transparent)`;
   }}
@@ -1519,6 +1599,7 @@ html.deerflow-source-detail-open [data-deerflow-source-detail-panel="true"] [cla
     enforceLocation();
     purgeGuides();
     hideWeKnoraShell();
+    hydrateProtectedImages();
     if (tickSourceDetail() && sourceDetailMode) {{
       clearInterval(maintenanceTimer);
       try {{ readyObserver.disconnect(); }} catch (_) {{}}
@@ -1820,6 +1901,32 @@ async def _public_mapping(request: Request, mapping_id: str) -> dict[str, Any]:
     return row
 
 
+def _validate_protected_wiki_file_path(file_path: str) -> str:
+    value = file_path.strip()
+    if not value or "\x00" in value or not _PROTECTED_WIKI_FILE_PATH.match(value):
+        raise HTTPException(status_code=422, detail="Unsupported Wiki image path")
+    return value
+
+
+async def _wiki_file_response(row: dict[str, Any], file_path: str, *, public: bool) -> Response:
+    try:
+        content, media_type = await _client_or_503().get_knowledge_base_file(
+            str(row["weknora_id"]),
+            _validate_protected_wiki_file_path(file_path),
+        )
+    except WeKnoraError as exc:
+        _raise_upstream(exc)
+    return Response(
+        content=content,
+        media_type=media_type,
+        headers={
+            "Cache-Control": "public, max-age=300" if public else "private, max-age=60",
+            "Content-Disposition": "inline",
+            "X-Content-Type-Options": "nosniff",
+        },
+    )
+
+
 async def _verify_document(client: WeKnoraClient, row: dict[str, Any], document_id: str) -> dict[str, Any]:
     document = await client.get_document(document_id)
     if str(document.get("knowledge_base_id") or "") != str(row["weknora_id"]):
@@ -2510,6 +2617,18 @@ async def list_public_wiki_pages(
     return {**result, "pages": pages}
 
 
+@router.get("/api/public/llmwiki/knowledge-bases/{mapping_id}/files")
+async def get_public_wiki_file(
+    request: Request,
+    mapping_id: str,
+    file_path: str = Query(..., min_length=1, max_length=8192),
+) -> Response:
+    """Serve one protected image belonging to a published Wiki."""
+
+    row = await _public_mapping(request, mapping_id)
+    return await _wiki_file_response(row, file_path, public=True)
+
+
 _PUBLIC_WIKI_INDEX_TYPES = ("summary", "entity", "concept", "synthesis", "comparison")
 
 
@@ -2820,6 +2939,18 @@ async def preview_document(request: Request, mapping_id: str, document_id: str)
     )
 
 
+@router.get("/api/llmwiki/knowledge-bases/{mapping_id}/files")
+async def get_wiki_file(
+    request: Request,
+    mapping_id: str,
+    file_path: str = Query(..., min_length=1, max_length=8192),
+) -> Response:
+    """Serve one protected Wiki image after normal knowledge-base authorization."""
+
+    row, _, _ = await _authorized_mapping(request, mapping_id, write=False)
+    return await _wiki_file_response(row, file_path, public=False)
+
+
 @router.get("/api/llmwiki/knowledge-bases/{mapping_id}/graph")
 async def get_knowledge_base_graph(
     request: Request,
diff --git a/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py b/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py
index 313522ee..8c69ccea 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py
@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import logging
 from typing import Any
 from uuid import uuid4
 
@@ -14,6 +15,7 @@ from deerflow.integrations.weknora.local_index.retrieval import is_fully_vectori
 from deerflow.integrations.weknora.local_index.search import WikiIndexError
 
 router = APIRouter(prefix="/api/llmwiki", tags=["llmwiki-index"])
+logger = logging.getLogger(__name__)
 
 
 class WikiVectorSearchRequest(BaseModel):
@@ -181,6 +183,7 @@ async def _run_sync(app, mapping_ids: list[str], force: bool) -> None:
             try:
                 await service.sync_mapping(mapping, force=force)
             except Exception:
+                logger.exception("Manual Wiki vectorization failed mapping_id=%s", mapping.get("id"))
                 continue
 
 
@@ -191,6 +194,7 @@ async def _run_one_sync(app, mapping: dict[str, Any], *, force: bool) -> None:
     try:
         await service.sync_mapping(mapping, force=force)
     except Exception:
+        logger.exception("Manual Wiki vectorization failed mapping_id=%s", mapping.get("id"))
         return
 
 
diff --git a/offline-backend-20260512/backend/config.yaml b/offline-backend-20260512/backend/config.yaml
index a8990137..31606d1a 100644
--- a/offline-backend-20260512/backend/config.yaml
+++ b/offline-backend-20260512/backend/config.yaml
@@ -556,47 +556,17 @@ llmwiki:
     web_base_url: "http://119.254.86.251:8088"
     admin_email: "lqq@qq.com"
     admin_password: "1qaz@WSX"
-  # DeerFlow-local Wiki mirror/vector index. Keep disabled until the
-  # OpenAI-compatible embedding endpoint below is configured and reachable.
+  # 本地 Wiki 向量化：只需把 enabled 改为 true，并填写下面 3 个 embedding 值。
+  # 默认只在页面点击“向量化”时执行；auto_sync=true 才会后台自动增量同步，
+  # 且服务启动时只启动定时器，不会立刻全量向量化。
   local_wiki_index:
     enabled: false
-    sync_enabled: false
-    internal_search_enabled: false
-    reference_ui_enabled: false
-    sync_interval_seconds: 120
-    chunk_max_chars: 1000
-    chunk_overlap_chars: 120
-    chunk_min_chars: 80
+    auto_sync: false
+    database_batch_size: 50
     embedding:
-      enabled: true
-      provider: openai
       model: bge-m3
       base_url: ""
       api_key: ""
-      # Expected BGE-M3 response size for local validation/indexing only.
-      # This value is not sent as an embedding API request parameter.
-      dimensions: 1024
-      batch_size: 32
-      timeout_seconds: 30
-      max_retries: 3
-    engine: numpy_exact
-    strict_vector: true
-    top_k_sections: 30
-    top_k_pages: 8
-    max_sections_per_page: 2
-    min_similarity: 0.35
-    cache_max_knowledge_bases: 20
-    cache_revision_check_seconds: 5
-    external_api:
-      enabled: false
-      api_key: ""
-      previous_api_key: ""
-      max_query_chars: 1000
-      max_knowledge_bases: 20
-      max_results: 50
-      default_results: 10
-      include_content_max_chars: 12000
-      requests_per_minute: 60
 
 log_system:
   enabled: true
diff --git a/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md b/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md
index 0a166d91..02ed80c8 100644
--- a/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md
+++ b/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md
@@ -279,65 +279,25 @@ llmwiki:
 
   local_wiki_index:
     enabled: true
-
-    # 同步
-    sync_enabled: true
-    sync_interval_seconds: 120
-    sync_page_size: 100
-    sync_concurrency: 3
-    sync_lease_seconds: 600
-    sync_request_timeout_seconds: 30
-    sync_max_retries: 3
-    sync_retry_backoff_seconds: 5
-
-    # 切分
-    chunk_max_chars: 1000
-    chunk_overlap_chars: 120
-    chunk_min_chars: 80
-    title_prefix_enabled: true
-
-    # Embedding：OpenAI-compatible /v1/embeddings
+    # 默认只允许手动向量化；需要定时增量同步时再开启。
+    auto_sync: false
+    # 每条 SQL 最多插入的向量行数；整页替换仍在同一事务内完成。
+    database_batch_size: 50
     embedding:
-      enabled: true
-      provider: openai
       model: bge-m3
       base_url: "$WIKI_EMBEDDING_BASE_URL"
       api_key: "$WIKI_EMBEDDING_API_KEY"
-      dimensions: 1024
-      batch_size: 32
-      timeout_seconds: 30
-      max_retries: 3
-
-    # 检索
-    engine: numpy_exact
-    strict_vector: true
-    top_k_sections: 30
-    top_k_pages: 8
-    max_sections_per_page: 2
-    min_similarity: 0.35
-    keyword_boost_enabled: false
-    keyword_boost_weight: 0.15
-    cache_max_knowledge_bases: 20
-    cache_revision_check_seconds: 5
-
-    # 外部接口
-    external_api:
-      enabled: false
-      api_key: "$LLMWIKI_EXTERNAL_SEARCH_API_KEY"
-      max_query_chars: 1000
-      max_knowledge_bases: 20
-      max_results: 50
-      default_results: 10
-      include_content_max_chars: 12000
-      requests_per_minute: 60
 ```
 
+日常部署只需配置上面三个 Embedding 值并将 `enabled` 改为 `true`。
+`auto_sync=false` 时仅由页面“手动向量化”触发；即使设为 `true`，定时器也会先等待一个完整同步周期，不会在服务刚启动时立即重建索引。其余切分、检索、超时与重试参数继续使用代码默认值，只有确有调优需要时才覆盖。
+
 ### 6.1 配置校验规则
 
 启动时应执行：
 
 1. `enabled=true` 时，Embedding `base_url` 和 `model` 必须非空；
-2. `dimensions` 可省略，但第一次成功 Embedding 后必须固定并写入索引 profile；
+2. 不向上游发送 `dimensions` 参数；第一次成功 Embedding 后从响应自动发现维度，并固定到索引 profile；
 3. `chunk_overlap_chars < chunk_max_chars`；
 4. `top_k_pages <= top_k_sections`；
 5. `external_api.enabled=true` 时必须配置非空 API Key；
@@ -1885,9 +1845,7 @@ class WikiVectorEngine(ABC):
 
 ```text
 local_wiki_index.enabled
-local_wiki_index.sync_enabled
-local_wiki_index.internal_search_enabled
-local_wiki_index.reference_ui_enabled
+local_wiki_index.auto_sync
 local_wiki_index.external_api.enabled
 ```
 
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py b/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
index 45776f0b..ae2427af 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
@@ -59,7 +59,7 @@ class LocalWikiEmbeddingConfig(BaseModel):
     base_url: str = ""
     api_key: str = Field(default="", repr=False)
     dimensions: int | None = Field(
-        default=1024,
+        default=None,
         ge=1,
         le=65536,
         description="Expected response vector dimensions; not sent to the embedding endpoint.",
@@ -108,9 +108,7 @@ class LocalWikiIndexConfig(BaseModel):
     """DeerFlow-owned mirror and exact-vector index for WeKnora Wiki pages."""
 
     enabled: bool = False
-    sync_enabled: bool = False
-    internal_search_enabled: bool = False
-    reference_ui_enabled: bool = False
+    auto_sync: bool = False
     sync_interval_seconds: int = Field(default=120, ge=10, le=86400)
     sync_page_size: int = Field(default=100, ge=1, le=500)
     sync_concurrency: int = Field(default=3, ge=1, le=32)
@@ -133,9 +131,31 @@ class LocalWikiIndexConfig(BaseModel):
     keyword_boost_weight: float = Field(default=0.15, ge=0, le=1)
     cache_max_knowledge_bases: int = Field(default=20, ge=1, le=1000)
     cache_revision_check_seconds: float = Field(default=5, ge=0, le=3600)
+    database_batch_size: int = Field(default=50, ge=1, le=500)
     external_api: LocalWikiExternalApiConfig = Field(default_factory=LocalWikiExternalApiConfig)
     model_config = ConfigDict(extra="ignore")
 
+    @model_validator(mode="before")
+    @classmethod
+    def _migrate_legacy_flags(cls, value):
+        if isinstance(value, dict) and "auto_sync" not in value and "sync_enabled" in value:
+            value = {**value, "auto_sync": value.get("sync_enabled")}
+        return value
+
+    @property
+    def sync_enabled(self) -> bool:
+        """Backward-compatible status name; automatic work is one explicit switch."""
+
+        return self.auto_sync
+
+    @property
+    def internal_search_enabled(self) -> bool:
+        return self.enabled
+
+    @property
+    def reference_ui_enabled(self) -> bool:
+        return self.enabled
+
     @model_validator(mode="after")
     def _validate_index(self):
         if self.chunk_overlap_chars >= self.chunk_max_chars:
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py
index 2bd618c1..1589dc55 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/client.py
@@ -2,8 +2,8 @@
 
 from __future__ import annotations
 
-from collections.abc import Mapping, Sequence
 import time
+from collections.abc import Mapping, Sequence
 from typing import Any
 from urllib.parse import quote
 
@@ -430,6 +430,51 @@ class WeKnoraClient:
         media_type = response.headers.get("content-type", "application/octet-stream").split(";", 1)[0].strip()
         return response.content, media_type or "application/octet-stream"
 
+    async def get_knowledge_base_file(
+        self,
+        knowledge_base_id: str,
+        file_path: str,
+    ) -> tuple[bytes, str]:
+        """Return one protected Wiki attachment using DeerFlow's WeKnora identity."""
+
+        owns_client = self._http_client is None
+        client = self._http_client or httpx.AsyncClient(
+            timeout=httpx.Timeout(self.timeout_seconds),
+            follow_redirects=True,
+            trust_env=False,
+        )
+        try:
+            for attempt in range(2):
+                response = await client.request(
+                    "GET",
+                    f"{self.base_url}/api/v1/knowledge-bases/{quote(knowledge_base_id, safe='')}/files",
+                    params={"file_path": file_path},
+                    headers=await self._headers(force_refresh=attempt > 0, accept="*/*"),
+                    follow_redirects=True,
+                )
+                if response.status_code not in {401, 403} or not self._has_admin_credentials or attempt > 0:
+                    break
+        except httpx.TimeoutException as exc:
+            raise WeKnoraError("WeKnora Wiki image request timed out", status_code=504) from exc
+        except httpx.HTTPError as exc:
+            raise WeKnoraError("WeKnora Wiki image is unavailable", status_code=502) from exc
+        finally:
+            if owns_client:
+                await client.aclose()
+        if response.status_code == 404:
+            raise WeKnoraError("WeKnora Wiki image was not found", status_code=404)
+        if response.status_code in {401, 403}:
+            if self._has_admin_credentials:
+                raise WeKnoraError("WeKnora rejected DeerFlow's authenticated Wiki image request", status_code=502)
+            raise WeKnoraError(
+                "WeKnora rejected DeerFlow's anonymous internal request; allow DeerFlow in WeKnora or its reverse proxy",
+                status_code=502,
+            )
+        if response.status_code >= 400:
+            raise WeKnoraError(f"WeKnora returned HTTP {response.status_code}", status_code=502)
+        media_type = response.headers.get("content-type", "application/octet-stream").split(";", 1)[0].strip()
+        return response.content, media_type or "application/octet-stream"
+
     async def reprocess_document(self, knowledge_id: str) -> dict[str, Any]:
         value = _data(await self._request("POST", f"/api/v1/knowledge/{quote(knowledge_id, safe='')}/reparse"))
         return dict(value) if isinstance(value, dict) else {}
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py
index f4b6b8ef..ca654111 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/embedding.py
@@ -15,6 +15,21 @@ from deerflow.integrations.weknora.local_index.vector_codec import normalize_vec
 logger = logging.getLogger(__name__)
 
 
+def _upstream_error_detail(response: httpx.Response) -> str:
+    """Return a bounded upstream reason without hiding the useful response body."""
+
+    try:
+        payload = response.json()
+        if isinstance(payload, dict):
+            detail = payload.get("detail") or payload.get("message") or payload.get("error") or payload
+        else:
+            detail = payload
+        value = str(detail)
+    except (ValueError, TypeError):
+        value = response.text
+    return " ".join(value.split())[:2000] or "no response body"
+
+
 class WikiEmbeddingError(RuntimeError):
     def __init__(self, message: str, *, category: str = "request", retryable: bool = True) -> None:
         super().__init__(message)
@@ -76,11 +91,15 @@ class StrictWikiEmbeddingClient:
             started = monotonic()
             try:
                 response = await (await self._get_client()).post(url, headers=headers, json=payload)
-                if response.status_code in {401, 403}:
-                    raise WikiEmbeddingError("Embedding authentication failed", category="authentication", retryable=False)
-                if response.status_code == 429 or response.status_code >= 500:
-                    raise WikiEmbeddingError(f"Embedding service returned HTTP {response.status_code}", category="upstream", retryable=True)
-                response.raise_for_status()
+                if response.status_code >= 400:
+                    detail = _upstream_error_detail(response)
+                    category = "authentication" if response.status_code in {401, 403} else "upstream"
+                    retryable = response.status_code == 429 or response.status_code >= 500
+                    raise WikiEmbeddingError(
+                        f"Embedding service returned HTTP {response.status_code}: {detail}",
+                        category=category,
+                        retryable=retryable,
+                    )
                 data = response.json()
                 items = sorted(data.get("data", []), key=lambda item: int(item.get("index", 0))) if isinstance(data, dict) else []
                 if len(items) != len(texts):
@@ -98,8 +117,20 @@ class StrictWikiEmbeddingClient:
             except httpx.TimeoutException:
                 last_error = WikiEmbeddingError("Embedding request timed out", category="timeout", retryable=True)
             except (httpx.HTTPError, ValueError, TypeError) as exc:
-                last_error = WikiEmbeddingError(f"Embedding request failed ({type(exc).__name__})", category="request", retryable=isinstance(exc, httpx.HTTPError))
+                reason = " ".join(str(exc).split())[:2000] or type(exc).__name__
+                last_error = WikiEmbeddingError(
+                    f"Embedding request failed ({type(exc).__name__}): {reason}",
+                    category="request",
+                    retryable=isinstance(exc, httpx.HTTPError),
+                )
             if last_error is not None and (not last_error.retryable or attempt >= self.config.max_retries):
+                logger.error(
+                    "Wiki embedding batch failed model=%s batch=%d category=%s reason=%s",
+                    self.config.model,
+                    len(texts),
+                    last_error.category,
+                    last_error,
+                )
                 raise last_error
             await asyncio.sleep(min(30.0, 0.5 * (2**attempt)))
         raise last_error or WikiEmbeddingError("Embedding request failed")
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/__init__.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/__init__.py
index 71f2b522..fb8da3da 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/__init__.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/__init__.py
@@ -6,8 +6,12 @@ from deerflow.persistence.llmwiki_index.model import LlmWikiWikiPageRow, LlmWiki
 from deerflow.persistence.llmwiki_index.sql import SqlLlmWikiIndexStore
 
 
-def make_llmwiki_index_store(session_factory):
-    return MemoryLlmWikiIndexStore() if session_factory is None else SqlLlmWikiIndexStore(session_factory)
+def make_llmwiki_index_store(session_factory, *, write_batch_size: int = 50):
+    return (
+        MemoryLlmWikiIndexStore()
+        if session_factory is None
+        else SqlLlmWikiIndexStore(session_factory, write_batch_size=write_batch_size)
+    )
 
 
 __all__ = [
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py
index c9d87b27..75f9ff68 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py
@@ -6,7 +6,7 @@ from datetime import UTC, datetime, timedelta
 from typing import Any
 from uuid import uuid4
 
-from sqlalchemy import case, delete, func, or_, select, update
+from sqlalchemy import case, delete, func, insert, or_, select, update
 from sqlalchemy.exc import IntegrityError
 from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker
 
@@ -27,8 +27,9 @@ def _dict(row) -> dict[str, Any]:
 
 
 class SqlLlmWikiIndexStore(LlmWikiIndexStore):
-    def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None:
+    def __init__(self, session_factory: async_sessionmaker[AsyncSession], *, write_batch_size: int = 50) -> None:
         self._sf = session_factory
+        self.write_batch_size = max(1, min(int(write_batch_size), 500))
 
     async def _ensure_state(self, session: AsyncSession, mapping_id: str) -> LlmWikiWikiSyncStateRow:
         row = await session.get(LlmWikiWikiSyncStateRow, mapping_id)
@@ -82,24 +83,29 @@ class SqlLlmWikiIndexStore(LlmWikiIndexStore):
             row.updated_at = now
             await session.flush()
             await session.execute(delete(LlmWikiWikiVectorRow).where(LlmWikiWikiVectorRow.page_id == row.id))
-            session.add_all(
-                [
-                    LlmWikiWikiVectorRow(
-                        id=str(uuid4()),
-                        page_id=row.id,
-                        knowledge_base_mapping_id=mapping_id,
-                        section_index=int(item["section_index"]),
-                        heading=item.get("heading"),
-                        section_content=str(item["section_content"]),
-                        content_hash=str(item["content_hash"]),
-                        embedding_fingerprint=fingerprint,
-                        embedding_dimensions=int(item["embedding_dimensions"]),
-                        vector_blob=bytes(item["vector_blob"]),
-                        created_at=now,
-                    )
-                    for item in vectors
-                ]
-            )
+            vector_rows = [
+                {
+                    "id": str(uuid4()),
+                    "page_id": row.id,
+                    "knowledge_base_mapping_id": mapping_id,
+                    "section_index": int(item["section_index"]),
+                    "heading": item.get("heading"),
+                    "section_content": str(item["section_content"]),
+                    "content_hash": str(item["content_hash"]),
+                    "embedding_fingerprint": fingerprint,
+                    "embedding_dimensions": int(item["embedding_dimensions"]),
+                    "vector_blob": bytes(item["vector_blob"]),
+                    "created_at": now,
+                }
+                for item in vectors
+            ]
+            # Keep the page replacement atomic, but cap each SQL statement so
+            # large Wiki pages cannot flood the database with one huge insert.
+            for start in range(0, len(vector_rows), self.write_batch_size):
+                await session.execute(
+                    insert(LlmWikiWikiVectorRow),
+                    vector_rows[start : start + self.write_batch_size],
+                )
             state = await self._ensure_state(session, mapping_id)
             state.index_revision = int(state.index_revision or 0) + 1
             state.embedding_fingerprint = fingerprint
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py b/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py
index d33a1309..ad93a117 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py
@@ -40,20 +40,31 @@ async def test_sql_store_atomically_replaces_vectors_and_marks_missing_deleted(t
         )
         await session.commit()
 
-    store = SqlLlmWikiIndexStore(session_factory)
+    store = SqlLlmWikiIndexStore(session_factory, write_batch_size=1)
     assert await store.try_acquire_sync_lease("mapping-1", owner="worker", sync_id="sync-1", lease_seconds=60, fingerprint="fp")
     assert not await store.try_acquire_sync_lease("mapping-1", owner="worker", sync_id="sync-2", lease_seconds=60, fingerprint="fp")
     page = normalize_wiki_page("mapping-1", {"id": "p1", "slug": "people/alice", "title": "Alice", "content": "Alice founded Acme.", "status": "published"})
     blob, dimensions = encode_vector([3.0, 4.0], dimensions=2)
     saved = await store.replace_page_vectors(
         page=page,
-        vectors=[{"section_index": 0, "heading": "History", "section_content": "Alice founded Acme.", "content_hash": "section", "embedding_dimensions": dimensions, "vector_blob": blob}],
+        vectors=[
+            {
+                "section_index": index,
+                "heading": "History",
+                "section_content": f"Alice founded Acme. Part {index}",
+                "content_hash": f"section-{index}",
+                "embedding_dimensions": dimensions,
+                "vector_blob": blob,
+            }
+            for index in range(3)
+        ],
         fingerprint="fp",
         sync_id="sync-1",
     )
     snapshot = await store.load_vector_snapshot("mapping-1", "fp")
     assert saved["slug"] == "people/alice"
-    assert len(snapshot["rows"]) == 1
+    assert store.write_batch_size == 1
+    assert len(snapshot["rows"]) == 3
     assert decode_vector(snapshot["rows"][0]["vector_blob"], 2).tolist() == pytest.approx([0.6, 0.8])
 
     assert await store.mark_missing_pages_deleted("mapping-1", "sync-2") == 1
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py b/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
index 667a1dfe..b5c3ee1f 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
@@ -690,6 +690,24 @@ async def test_weknora_client_proxies_original_document_preview_without_credenti
     assert media_type == "text/plain"
 
 
+@pytest.mark.asyncio
+async def test_weknora_client_fetches_protected_wiki_image() -> None:
+    async def handler(request: httpx.Request) -> httpx.Response:
+        assert request.url.path == "/api/v1/knowledge-bases/kb-one/files"
+        assert request.url.params["file_path"] == "resource://wiki/figure.png"
+        return httpx.Response(200, content=b"png-bytes", headers={"Content-Type": "image/png"})
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
+        client = WeKnoraClient(base_url="http://weknora.local:8080", http_client=http_client)
+        content, media_type = await client.get_knowledge_base_file(
+            "kb-one",
+            "resource://wiki/figure.png",
+        )
+
+    assert content == b"png-bytes"
+    assert media_type == "image/png"
+
+
 @pytest.mark.asyncio
 async def test_memory_store_enforces_owner_and_public_visibility() -> None:
     store = MemoryLlmWikiStore()
@@ -1358,6 +1376,10 @@ def test_weknora_iframe_html_rewrites_public_prefix_paths() -> None:
     assert '"allowedWeKnoraIds":["remote-kb","other-visible-kb"]' in injected
     assert ".breadcrumb-link.dropdown" not in injected
     assert "reloadForKnowledgeBaseSwitch" in injected
+    assert "function protectedImageApiUrl" in injected
+    assert 'img[data-protected-src]' in injected
+    assert 'encodeURIComponent(cfg.weknoraId)' in injected
+    assert 'credentials: "same-origin"' in injected
 
 
 def test_weknora_iframe_filters_kb_list_to_signed_visible_mappings() -> None:
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py b/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
index f4e2f725..a93a573f 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
@@ -1,10 +1,13 @@
 from __future__ import annotations
 
+import asyncio
 import json
+from types import SimpleNamespace
 
 import httpx
 import pytest
 
+from app.gateway import llmwiki_index_scheduler
 from deerflow.config.llmwiki_config import LocalWikiEmbeddingConfig, LocalWikiIndexConfig
 from deerflow.integrations.weknora.local_index.embedding import StrictWikiEmbeddingClient
 from deerflow.integrations.weknora.local_index.sync import WikiSyncService
@@ -85,6 +88,24 @@ async def test_configured_dimensions_are_validated_but_not_sent_to_bge() -> None
     assert requests == [{"model": "bge-embedding-m3", "input": ["Wiki page"]}]
 
 
+@pytest.mark.asyncio
+async def test_embedding_error_includes_upstream_reason(caplog) -> None:
+    def handler(request: httpx.Request) -> httpx.Response:
+        return httpx.Response(400, json={"detail": "unsupported request parameter: dimensions"})
+
+    config = LocalWikiEmbeddingConfig(
+        model="bge-embedding-m3",
+        base_url="http://embedding.test/v1",
+        max_retries=0,
+    )
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as http_client:
+        client = StrictWikiEmbeddingClient(config, http_client=http_client)
+        with pytest.raises(RuntimeError, match="unsupported request parameter: dimensions"):
+            await client.embed_query("Wiki page")
+
+    assert "unsupported request parameter: dimensions" in caplog.text
+
+
 @pytest.mark.asyncio
 async def test_omitted_dimensions_are_discovered_from_first_response() -> None:
     def handler(request: httpx.Request) -> httpx.Response:
@@ -167,3 +188,39 @@ async def test_fingerprint_change_automatically_rebuilds_entire_mapping() -> Non
     assert store.states["kb"]["state"] == "idle"
     assert store.states["kb"]["embedding_fingerprint"] == "fp-new"
     assert {vector["embedding_fingerprint"] for vectors in store.vectors.values() for vector in vectors} == {"fp-new"}
+
+
+@pytest.mark.asyncio
+async def test_auto_sync_scheduler_waits_before_first_scan(monkeypatch) -> None:
+    calls: list[str] = []
+
+    async def fake_sleep(seconds: float) -> None:
+        calls.append(f"sleep:{seconds}")
+        raise asyncio.CancelledError
+
+    async def fake_sync_once(app) -> None:
+        calls.append("sync")
+
+    monkeypatch.setattr(llmwiki_index_scheduler.asyncio, "sleep", fake_sleep)
+    monkeypatch.setattr(llmwiki_index_scheduler, "_sync_once", fake_sync_once)
+    app = SimpleNamespace(
+        state=SimpleNamespace(
+            config=SimpleNamespace(
+                llmwiki=SimpleNamespace(
+                    local_wiki_index=SimpleNamespace(sync_interval_seconds=120),
+                )
+            )
+        )
+    )
+
+    with pytest.raises(asyncio.CancelledError):
+        await llmwiki_index_scheduler.local_wiki_index_scheduler_loop(app)
+
+    assert calls == ["sleep:120"]
+
+
+def test_local_wiki_index_accepts_legacy_sync_flag() -> None:
+    config = LocalWikiIndexConfig.model_validate({"sync_enabled": True})
+
+    assert config.auto_sync is True
+    assert config.sync_enabled is True
diff --git a/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py b/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
index 10c63e8b..944b94c2 100644
--- a/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
+++ b/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
@@ -177,6 +177,37 @@ async def test_public_wiki_page_list_is_normalized(monkeypatch) -> None:
     assert payload["pages"][0]["aliases"] == []
 
 
+@pytest.mark.asyncio
+async def test_public_wiki_file_is_authorized_and_streamed(monkeypatch) -> None:
+    store = PublicStore(_published_row())
+
+    class Client:
+        async def get_knowledge_base_file(self, knowledge_base_id: str, file_path: str):
+            assert knowledge_base_id == "remote-one"
+            assert file_path == "storage://tenant/resource://wiki/figure.png"
+            return b"png-bytes", "image/png"
+
+    monkeypatch.setattr(llmwiki, "_client_or_503", lambda: Client())
+
+    response = await llmwiki.get_public_wiki_file(
+        _request(store),
+        "kb-one",
+        "storage://tenant/resource://wiki/figure.png",
+    )
+
+    assert store.calls == [("kb-one", "__public_wiki__", False, False)]
+    assert response.body == b"png-bytes"
+    assert response.media_type == "image/png"
+    assert response.headers["cache-control"] == "public, max-age=300"
+
+
+def test_wiki_file_proxy_rejects_non_weknora_urls() -> None:
+    with pytest.raises(HTTPException) as exc_info:
+        llmwiki._validate_protected_wiki_file_path("https://example.test/private.png")
+
+    assert exc_info.value.status_code == 422
+
+
 @pytest.mark.asyncio
 async def test_public_wiki_index_preserves_weknora_group_and_item_order(monkeypatch) -> None:
     store = PublicStore(_published_row())

From 9f29ecae9e4f9fc3f43a857e17d2d5be40b2c867 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=89=E9=91=AB=E5=8D=87?= <xsji@kland.com.cn>
Date: Tue, 25 Aug 2026 16:57:42 +0800
Subject: [PATCH 3/5] fix: harden wiki delivery and leaderboard performance

---
 frontend-web/src/core/llmwiki/source-links.ts | 19 ++++--
 .../src/strategy-components/api/llmwiki.ts    | 43 ++++++++++---
 .../llmwiki/WeKnoraWikiManagementPage.tsx     | 40 +++++++++++-
 .../llmwiki/WeKnoraWikiPageView.tsx           | 11 ++--
 .../llmwiki/WikiProtectedImage.tsx            | 21 +++----
 offline-backend-20260512/backend/CLAUDE.md    | 27 +++++++-
 offline-backend-20260512/backend/README.md    | 31 +++++++++-
 .../app/gateway/routers/admin_users.py        | 38 ++++++++----
 .../backend/app/gateway/routers/llmwiki.py    | 56 ++++++++++++++++-
 .../app/gateway/routers/llmwiki_index.py      | 36 +++++++++++
 .../backend/app/gateway/weknora_embed.py      | 20 ++++++
 .../integrations/weknora/local_index/sync.py  |  7 +++
 .../deerflow/persistence/llm_metrics/model.py |  1 +
 .../persistence/llmwiki_index/base.py         | 13 ++++
 .../persistence/llmwiki_index/memory.py       | 42 +++++++++++++
 .../deerflow/persistence/llmwiki_index/sql.py | 62 +++++++++++++++++++
 .../versions/20260821_01_fixed_questions.py   |  8 +--
 ...20260821_02_fixed_question_stream_speed.py |  8 +--
 .../20260823_01_llmwiki_local_wiki_index.py   |  4 +-
 ...erge_report_structure_and_llmwiki_heads.py | 34 ++++++++++
 .../harness/deerflow/persistence/run/model.py |  2 +
 .../persistence/tool_metrics/model.py         |  2 +
 .../scripts/sql/leaderboard_indexes_mysql.sql | 23 +++++--
 .../test_admin_leaderboard_query_shape.py     | 43 +++++++++++++
 .../test_llmwiki_local_index_repository.py    | 16 +++++
 .../backend/tests/test_llmwiki_wiki_sync.py   | 10 ++-
 .../backend/tests/test_migration_graph.py     | 17 +++++
 .../tests/test_public_llmwiki_embed.py        | 50 +++++++++++++++
 28 files changed, 616 insertions(+), 68 deletions(-)
 create mode 100644 offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260825_01_merge_report_structure_and_llmwiki_heads.py
 create mode 100644 offline-backend-20260512/backend/tests/test_admin_leaderboard_query_shape.py
 create mode 100644 offline-backend-20260512/backend/tests/test_migration_graph.py

diff --git a/frontend-web/src/core/llmwiki/source-links.ts b/frontend-web/src/core/llmwiki/source-links.ts
index 60f7f677..10bc99ee 100644
--- a/frontend-web/src/core/llmwiki/source-links.ts
+++ b/frontend-web/src/core/llmwiki/source-links.ts
@@ -27,6 +27,16 @@ export type KnowledgeSourceLike = {
   slug?: string | null;
 };
 
+/** Build a HashRouter URL without dropping a reverse-proxy path such as /web/. */
+export function buildAppHashUrl(path: string): string {
+  const route = path.startsWith("/") ? path : `/${path}`;
+  if (typeof window !== "undefined") {
+    return `${window.location.pathname || "/"}#${route}`;
+  }
+  const base = import.meta.env.BASE_URL || "/";
+  return `${base}#${route}`;
+}
+
 export function parseWeKnoraPreviewUrl(url?: string | null): WeKnoraSourceTarget | null {
   if (!url?.startsWith("/weknora-source-preview?")) {
     return null;
@@ -92,7 +102,7 @@ export function buildWeKnoraSourceIframeUrl(target: WeKnoraSourceTarget): string
   if (target.documentId) params.set("documentId", target.documentId);
   if (target.wikiSlug) params.set("wikiSlug", target.wikiSlug);
   const query = params.toString();
-  return `/#/page/workspace/knowledge/${encodeURIComponent(target.knowledgeBaseId)}${query ? `?${query}` : ""}`;
+  return buildAppHashUrl(`/page/workspace/knowledge/${encodeURIComponent(target.knowledgeBaseId)}${query ? `?${query}` : ""}`);
 }
 
 /**
@@ -103,7 +113,7 @@ export function buildWeKnoraWikiPageUrl(
   knowledgeBaseId: string,
   wikiSlug: string,
 ): string {
-  return `/#${buildWeKnoraWikiPagePath(knowledgeBaseId, wikiSlug)}`;
+  return buildAppHashUrl(buildWeKnoraWikiPagePath(knowledgeBaseId, wikiSlug));
 }
 
 export function buildWeKnoraWikiPagePath(
@@ -129,7 +139,7 @@ export function buildPublicKnowledgeWikiUrl(
   knowledgeBaseId: string,
   wikiSlug?: string,
 ): string {
-  return `/#${buildPublicKnowledgeWikiPath(knowledgeBaseId, wikiSlug)}`;
+  return buildAppHashUrl(buildPublicKnowledgeWikiPath(knowledgeBaseId, wikiSlug));
 }
 
 export function buildLegacyKnowledgeSourceUrl(source: KnowledgeSourceLike): string {
@@ -160,6 +170,7 @@ export function normalizeMalformedWeKnoraHashRoute(): boolean {
   const { pathname, search, hash } = window.location;
   if (!pathname.startsWith("/page/workspace/knowledge/")) return false;
   if (hash && !hash.startsWith("#/")) return false;
-  window.location.replace(`/#${pathname}${search}`);
+  const base = import.meta.env.BASE_URL || "/";
+  window.location.replace(`${base}#${pathname}${search}`);
   return true;
 }
diff --git a/frontend-web/src/strategy-components/api/llmwiki.ts b/frontend-web/src/strategy-components/api/llmwiki.ts
index 5b8f16c9..40f0fd38 100644
--- a/frontend-web/src/strategy-components/api/llmwiki.ts
+++ b/frontend-web/src/strategy-components/api/llmwiki.ts
@@ -179,6 +179,28 @@ export interface LlmWikiWikiIndexStatus {
   last_error?: string | null;
   last_started_at?: string | null;
   last_completed_at?: string | null;
+  progress?: {
+    total_pages: number;
+    processed_pages: number;
+    vectorized_pages: number;
+    failed_pages: number;
+    vector_count: number;
+    completion_percent: number;
+  };
+  pages?: Array<{
+    id: string;
+    slug: string;
+    title: string;
+    page_type: string;
+    status: string;
+    index_status: string;
+    vector_count: number;
+    vectorized: boolean;
+    processed_in_current_sync: boolean;
+    indexed_at?: string | null;
+    updated_at?: string | null;
+    last_error?: string | null;
+  }>;
 }
 
 export interface LlmWikiSourceContext {
@@ -444,21 +466,22 @@ export async function getLlmWikiDocumentPreview(
   return response.blob();
 }
 
-export async function getLlmWikiProtectedFile(
+export async function getLlmWikiProtectedFileUrl(
   knowledgeBaseId: string,
   filePath: string,
   publicAccess = false,
-): Promise<Blob> {
-  const base = publicAccess ? PUBLIC_API() : API();
+): Promise<string> {
   const params = new URLSearchParams({ file_path: filePath });
-  const response = await apiFetch(
-    `${base}/knowledge-bases/${encodeURIComponent(knowledgeBaseId)}/files?${params.toString()}`,
-  );
-  if (!response.ok) {
-    await readJson<void>(response, "读取 Wiki 图片");
-    throw new Error("读取 Wiki 图片失败");
+  if (publicAccess) {
+    return `${PUBLIC_API()}/knowledge-bases/${encodeURIComponent(knowledgeBaseId)}/files?${params.toString()}`;
   }
-  return response.blob();
+  const access = await readJson<{ token: string; expires_in: number }>(
+    await apiFetch(
+      `${API()}/knowledge-bases/${encodeURIComponent(knowledgeBaseId)}/files/access-url?${params.toString()}`,
+    ),
+    "读取 Wiki 图片",
+  );
+  return `${PUBLIC_API()}/files/${encodeURIComponent(access.token)}`;
 }
 
 export async function getLlmWikiGraph(knowledgeBaseId: string): Promise<LlmWikiGraph> {
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiManagementPage.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiManagementPage.tsx
index 3eddeb72..ec06241b 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiManagementPage.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiManagementPage.tsx
@@ -6,6 +6,7 @@ import { toast } from "sonner";
 import { Button } from "@/components/ui/button";
 import { Badge } from "@/components/ui/badge";
 import { Input } from "@/components/ui/input";
+import { Progress } from "@/components/ui/progress";
 import { Textarea } from "@/components/ui/textarea";
 import { MarkdownCodeEditor } from "@/components/wiki/MarkdownCodeEditor";
 import {
@@ -331,6 +332,10 @@ export function WeKnoraWikiManagementPage() {
     () => moveTargetOptions(pagesList),
     [pagesList],
   );
+  const pageIndexBySlug = useMemo(
+    () => new Map((indexStatus.data?.pages ?? []).map((item) => [item.slug, item])),
+    [indexStatus.data?.pages],
+  );
   const currentMoveTarget = moveTargetValue(draft.parentSlug, draft.categoryPathText, draft.folderId);
 
   useEffect(() => {
@@ -387,6 +392,17 @@ export function WeKnoraWikiManagementPage() {
     });
   };
 
+  const renderVectorBadge = (page: WikiPageListItem) => {
+    const item = pageIndexBySlug.get(page.slug);
+    if (item?.last_error || item?.index_status === "failed" || item?.index_status === "stale") {
+      return <Badge variant="destructive" className="ml-auto shrink-0 text-[10px]" title={item?.last_error || "向量化失败"}>失败</Badge>;
+    }
+    if (item?.vectorized) {
+      return <Badge variant="secondary" className="ml-auto shrink-0 text-[10px]" title={`最近向量化：${item.indexed_at || "未知"}`}>已向量化 · {item.vector_count} 段</Badge>;
+    }
+    return <Badge variant="outline" className="ml-auto shrink-0 text-[10px]">未向量化</Badge>;
+  };
+
   const renderWikiNode = (node: WikiTreeNode, depth = 0) => {
     const hasChildren = node.children.length > 0;
     const isExpanded = query.trim() ? true : expandedDirectories.has(node.key);
@@ -432,7 +448,8 @@ export function WeKnoraWikiManagementPage() {
                 >
                   <div className="flex min-w-0 items-center gap-2">
                     <FileText className="size-3.5 shrink-0 text-muted-foreground" />
-                    <span className="truncate font-medium">{page.title || page.slug}</span>
+                     <span className="truncate font-medium">{page.title || page.slug}</span>
+                     {renderVectorBadge(page)}
                   </div>
                   <div className="mt-1 truncate pl-5 text-xs text-muted-foreground">{page.slug}</div>
                 </button>
@@ -460,6 +477,7 @@ export function WeKnoraWikiManagementPage() {
         <div className="flex min-w-0 items-center gap-2">
           <FileText className="size-3.5 shrink-0 text-muted-foreground" />
           <span className="truncate font-medium">{page.title || page.slug}</span>
+          {renderVectorBadge(page)}
         </div>
         <div className="mt-1 truncate pl-5 text-xs text-muted-foreground">{page.slug}</div>
         {page.aliases?.length ? (
@@ -634,6 +652,26 @@ export function WeKnoraWikiManagementPage() {
       <main className="grid min-h-0 flex-1 grid-cols-[320px_1fr] overflow-hidden">
         <aside className="flex min-h-0 flex-col border-r bg-muted/20">
           <div className="border-b p-3">
+            {indexStatus.data && (
+              <div className="mb-3 rounded-lg border bg-background p-3">
+                <div className="flex items-center justify-between gap-2 text-xs">
+                  <span className="flex items-center gap-2 font-medium">
+                    向量化进度
+                    {!indexStatus.data.local_index_enabled && <Badge variant="outline" className="text-[10px]">当前未启用</Badge>}
+                  </span>
+                  <span className="tabular-nums text-muted-foreground">
+                    {indexStatus.data.progress?.processed_pages ?? 0}/{indexStatus.data.progress?.total_pages ?? 0} 篇 · {indexStatus.data.progress?.completion_percent ?? 0}%
+                  </span>
+                </div>
+                <Progress value={indexStatus.data.progress?.completion_percent ?? 0} className="mt-2 h-2" />
+                <div className="mt-2 flex flex-wrap gap-x-3 gap-y-1 text-[11px] text-muted-foreground">
+                  <span>已向量化 {indexStatus.data.progress?.vectorized_pages ?? 0} 篇</span>
+                  <span>向量章节 {indexStatus.data.progress?.vector_count ?? 0}</span>
+                  <span className={(indexStatus.data.progress?.failed_pages ?? 0) > 0 ? "text-destructive" : ""}>失败 {indexStatus.data.progress?.failed_pages ?? 0} 篇</span>
+                </div>
+                {indexStatus.data.last_error && <div className="mt-2 break-words text-[11px] text-destructive">{indexStatus.data.last_error}</div>}
+              </div>
+            )}
             <div className="relative">
               <Search className="absolute left-3 top-1/2 size-4 -translate-y-1/2 text-muted-foreground" />
               <Input
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
index b2af1866..88297f48 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WeKnoraWikiPageView.tsx
@@ -19,6 +19,7 @@ import { Button } from "@/components/ui/button";
 import { Input } from "@/components/ui/input";
 import { MarkdownContent } from "@/components/workspace/messages/markdown-content";
 import {
+  buildAppHashUrl,
   buildPublicKnowledgeWikiPath,
   buildWeKnoraWikiPagePath,
 } from "@/core/llmwiki/source-links";
@@ -98,9 +99,11 @@ function downloadBlob(blob: Blob, fileName: string) {
 }
 
 function publicWikiTargetFromHref(href: string, knowledgeBaseId: string) {
-  const routePrefix = `/#${buildPublicKnowledgeWikiPath(knowledgeBaseId)}`;
-  if (!href.startsWith(`${routePrefix}?`)) return null;
-  const route = href.slice(2);
+  const hashIndex = href.indexOf("#");
+  if (hashIndex < 0) return null;
+  const route = href.slice(hashIndex + 1);
+  const routePrefix = buildPublicKnowledgeWikiPath(knowledgeBaseId);
+  if (!route.startsWith(`${routePrefix}?`)) return null;
   const queryIndex = route.indexOf("?");
   const slug = new URLSearchParams(route.slice(queryIndex + 1)).get("wikiSlug")?.trim();
   return slug ? { route, slug } : null;
@@ -219,7 +222,7 @@ export function WeKnoraWikiPageView({
           ? (knowledgeBaseId, slug) => {
               const next = new URLSearchParams(searchParams);
               next.set("wikiSlug", slug);
-              return `/#${buildPublicKnowledgeWikiPath(knowledgeBaseId)}?${next.toString()}`;
+              return buildAppHashUrl(`${buildPublicKnowledgeWikiPath(knowledgeBaseId)}?${next.toString()}`);
             }
           : undefined,
         publicEmbed ? pagesList : [],
diff --git a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx
index 816aeecf..e8d7cee1 100644
--- a/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx
+++ b/frontend-web/src/strategy-components/components/resource-management/llmwiki/WikiProtectedImage.tsx
@@ -2,7 +2,7 @@ import { ImageOff, Loader2 } from "lucide-react";
 import { type ImgHTMLAttributes, useEffect, useState } from "react";
 
 import { parseProtectedWikiImageSource } from "@/core/llmwiki/wiki-page-markdown";
-import { getLlmWikiProtectedFile } from "@/strategy-components/api/llmwiki";
+import { getLlmWikiProtectedFileUrl } from "@/strategy-components/api/llmwiki";
 
 type WikiProtectedImageProps = ImgHTMLAttributes<HTMLImageElement> & {
   knowledgeBaseId: string;
@@ -18,24 +18,22 @@ export function WikiProtectedImage({
   ...props
 }: WikiProtectedImageProps) {
   const filePath = parseProtectedWikiImageSource(src);
-  const [objectUrl, setObjectUrl] = useState("");
+  const [httpUrl, setHttpUrl] = useState("");
   const [error, setError] = useState("");
 
   useEffect(() => {
     if (!filePath || !knowledgeBaseId) {
-      setObjectUrl("");
+      setHttpUrl("");
       setError("");
       return;
     }
     let cancelled = false;
-    let nextObjectUrl = "";
-    setObjectUrl("");
+    setHttpUrl("");
     setError("");
-    void getLlmWikiProtectedFile(knowledgeBaseId, filePath, publicAccess)
-      .then((blob) => {
+    void getLlmWikiProtectedFileUrl(knowledgeBaseId, filePath, publicAccess)
+      .then((url) => {
         if (cancelled) return;
-        nextObjectUrl = URL.createObjectURL(blob);
-        setObjectUrl(nextObjectUrl);
+        setHttpUrl(url);
       })
       .catch((reason: unknown) => {
         if (!cancelled) {
@@ -44,7 +42,6 @@ export function WikiProtectedImage({
       });
     return () => {
       cancelled = true;
-      if (nextObjectUrl) URL.revokeObjectURL(nextObjectUrl);
     };
   }, [filePath, knowledgeBaseId, publicAccess]);
 
@@ -64,12 +61,12 @@ export function WikiProtectedImage({
       </span>
     );
   }
-  if (!objectUrl) {
+  if (!httpUrl) {
     return (
       <span className="my-3 flex min-h-24 items-center justify-center rounded-lg bg-muted/30 text-muted-foreground">
         <Loader2 className="size-5 animate-spin" aria-label="正在加载 Wiki 图片" />
       </span>
     );
   }
-  return <img {...props} src={objectUrl} alt={alt} className={className} />;
+  return <img {...props} src={httpUrl} alt={alt} className={className} />;
 }
diff --git a/offline-backend-20260512/backend/CLAUDE.md b/offline-backend-20260512/backend/CLAUDE.md
index 98ba14f4..2d0b1f23 100644
--- a/offline-backend-20260512/backend/CLAUDE.md
+++ b/offline-backend-20260512/backend/CLAUDE.md
@@ -636,13 +636,20 @@ Two `TypeDecorator`s keep ORM columns correct across the `sqlite` / `postgres` /
 
 ### Schema Migrations / Manual Column-Add SQL (`scripts/sql/`)
 
-Alembic auto-migration is **disabled** ? `_run_alembic_upgrade(url)` is commented out in `persistence/engine.py`. On startup only `Base.metadata.create_all` runs, which creates **new tables** but never patches **existing** ones (no new columns, no new indexes). So a column added to an ORM model appears automatically on a brand-new deployment, but is **missing on any existing MySQL database** ? and code reading/writing that column will error there until the column is added by hand.
+Gateway startup runs Alembic through `app.gateway.app._run_db_migrations` after ORM table creation. The migration graph must always have unique revision ids and exactly one head; `tests/test_migration_graph.py` enforces both. Historical duplicate revision `20260821_01` is repaired by the `20260821_03` / `20260821_04` fixed-question chain and merge revision `20260825_01`. Startup DDL has a bounded timeout and failures are logged without preventing the app from serving.
 
 **Convention (required):** whenever code adds a field to an existing table (a new `mapped_column` on an ORM model), you must, in the same change:
 1. Keep the matching alembic version file under `persistence/migrations/versions/` (guarded with `_has_table`/`_has_column`), and
 2. Append the idempotent `ADD COLUMN` statement to **`scripts/sql/column_additions_mysql.sql`**, with a definition matching the ORM column exactly (type, length, nullability).
 
-Operators upgrading an existing DB run the whole file (`USE <db>;` then execute) ? it is idempotent (existing columns are skipped via `information_schema.columns`), so it is safe to re-run. Index-only changes go in the sibling `scripts/sql/leaderboard_indexes_mysql.sql` (same idempotent pattern).
+Operators upgrading an existing DB may run the whole file (`USE <db>;` then execute) as a recovery path; it is idempotent (existing columns are skipped via `information_schema.columns`). Index-only changes go in the sibling `scripts/sql/leaderboard_indexes_mysql.sql` (same idempotent pattern) and stay out of startup migrations because online index creation on large metric tables can delay service boot.
+
+Leaderboard scheduled-run exclusion uses correlated `NOT EXISTS` against the
+indexed `scheduled_task_runs.agent_run_id`; do not restore `NOT IN`. Legacy
+scheduler detection for tool metrics is also a correlated existence check and
+must not outer-join the complete `runs` table into metric aggregations. Keep the
+created-at + dimension compound indexes in ORM metadata and the idempotent
+MySQL index script synchronized.
 
 ### Sandbox System (`packages/harness/deerflow/sandbox/`)
 
@@ -1494,6 +1501,16 @@ Wiki directory, reconstruct hierarchy from `parent_slug`, `wiki_path`,
 directory navigation on the same lightweight route rather than mounting the
 WeKnora iframe.
 
+Generated HashRouter URLs must retain `window.location.pathname` (for example
+the `/web/` reverse-proxy prefix); never emit root-absolute `/#/...` citation,
+reader, or public-embed links. Protected Wiki image rendering must use real HTTP
+URLs, never `URL.createObjectURL`. Public readers use the published file proxy;
+authenticated readers obtain a short-lived signed capability from
+`/files/access-url` and load `/api/public/llmwiki/files/{token}`. The signed
+payload is restricted to `kind=wiki_file`, mapping id, remote id, validated
+protected path, and expiry, and responses provide an inline UTF-8 filename for
+new-tab viewing and browser Save As.
+
 Third-party pages embed published Wiki content through the chrome-free route
 `/#/embed/knowledge/{mapping_id}` (optional exact-page `wikiSlug`). It defaults
 to a recognized Wiki index page (title `索引`/`index`, page type `index`, or an
@@ -1526,7 +1543,11 @@ mapping id is hard to guess.
 
 Owners manually force a full sync/vectorization through `POST
 /api/llmwiki/knowledge-bases/{id}/vectorize`; status is available through `GET
-/api/llmwiki/knowledge-bases/{id}/wiki-index-status`. The Wiki management page
+/api/llmwiki/knowledge-bases/{id}/wiki-index-status`. That response includes
+aggregate `progress` and per-page `pages` details; current-scan progress is
+derived from `active_sync_id` / `last_seen_sync_id`, while each page exposes its
+index state, vector count, timestamps, and bounded error. The Wiki management
+page must show the progress bar and a status badge beside every article. It
 also exports all remote processed Wiki pages via `GET
 /api/llmwiki/knowledge-bases/{id}/wiki/export.xlsx`. Directory export must keep
 the full path, current directory, parent path, and dynamic per-level columns;
diff --git a/offline-backend-20260512/backend/README.md b/offline-backend-20260512/backend/README.md
index 56d091ad..a83468ed 100644
--- a/offline-backend-20260512/backend/README.md
+++ b/offline-backend-20260512/backend/README.md
@@ -802,8 +802,12 @@ database leases; searches use revision-checked per-knowledge-base LRU snapshots
 after the full-library readiness gate succeeds. Knowledge-base owners can click
 **手动向量化** in Wiki management (`POST
 /api/llmwiki/knowledge-bases/{id}/vectorize`) and follow its status at
-`GET /api/llmwiki/knowledge-bases/{id}/wiki-index-status`. Existing chunk
-citations remain readable while all new retrieval citations open Wiki pages.
+`GET /api/llmwiki/knowledge-bases/{id}/wiki-index-status`. The response includes
+aggregate `progress` plus a `pages` list with every Wiki page's index state,
+vector-section count, timestamps, and last error. The management page renders
+the percentage and labels each article as 已向量化 / 待向量化 / 失败, so it is
+clear exactly what is searchable. Existing chunk citations remain readable
+while all new retrieval citations open Wiki pages.
 
 The frontend labels these results simply as **Wiki** references; provider-brand
 wording is intentionally hidden from user-facing labels and status text. Clicking any
@@ -826,6 +830,29 @@ left. It reconstructs hierarchy from `parent_slug`, `wiki_path`,
 page, and switches directory entries through the same lightweight reader route
 without mounting the WeKnora iframe.
 
+All generated SPA deep links preserve the deployment document path (for
+example `/web/`) before the `#` route, including Q&A references and Wiki index
+links. Protected Wiki images no longer render from temporary browser `blob:`
+URLs. Public images use the published file proxy directly; private images first
+obtain a 24-hour signed capability and then load through
+`GET /api/public/llmwiki/files/{token}` with a real HTTP URL and inline
+filename, allowing zoom, new-tab viewing, and browser Save As without exposing
+the user's bearer token.
+
+## Leaderboard query and schema startup safety
+
+The leaderboard excludes scheduled runs with indexed correlated `NOT EXISTS`
+checks. Tool metrics no longer outer-join the full `runs` table merely to
+recognize legacy scheduler messages. New databases receive dimension-aware
+analytics indexes from ORM metadata; existing large MySQL deployments should
+run `scripts/sql/leaderboard_indexes_mysql.sql` during a low-traffic window so
+index creation never delays application startup.
+
+Startup Alembic migrations now have one unambiguous head. The historical
+duplicate `20260821_01` identifier is repaired by unique fixed-question
+revisions and the `20260825_01` merge revision, which also fills the
+report-structure column for databases stamped by either old variant.
+
 Published knowledge bases also have a login-free, chrome-free reader at
 `/#/embed/knowledge/{mapping_id}` for direct third-party iframe use. With no
 `wikiSlug`, it selects the Wiki **索引** page first (recognized by title, page
diff --git a/offline-backend-20260512/backend/app/gateway/routers/admin_users.py b/offline-backend-20260512/backend/app/gateway/routers/admin_users.py
index c5419444..ee7d4521 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/admin_users.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/admin_users.py
@@ -637,10 +637,16 @@ def _non_scheduled_run_filter():
 
 
 def _non_scheduled_tool_filter():
-    return or_(
-        ToolCallMetricRow.run_id.is_(None),
-        RunRow.run_id.is_(None),
-        _non_scheduled_run_filter(),
+    """Exclude legacy scheduled runs without joining runs into the metric scan."""
+
+    return ~(
+        select(1)
+        .select_from(RunRow)
+        .where(
+            RunRow.run_id == ToolCallMetricRow.run_id,
+            RunRow.first_human_message.like("【定时任务触发】%"),
+        )
+        .exists()
     )
 
 
@@ -667,8 +673,15 @@ def _admin_user_ids_stmt():
     return select(UserRow.id).where(UserRow.system_role == "admin")
 
 
-def _scheduled_run_ids_stmt():
-    return select(ScheduledTaskRunRow.agent_run_id).where(ScheduledTaskRunRow.agent_run_id.is_not(None))
+def _not_scheduled_run_id_filter(run_id_column):
+    """Use a NULL-safe, index-friendly anti-semi join instead of NOT IN."""
+
+    return ~(
+        select(1)
+        .select_from(ScheduledTaskRunRow)
+        .where(ScheduledTaskRunRow.agent_run_id == run_id_column)
+        .exists()
+    )
 
 
 def _apply_user_scope(stmt, column, *, exclude_user_ids: set[str], include_admins: bool):
@@ -692,7 +705,7 @@ def _apply_run_scope(
     if not include_failed:
         stmt = stmt.where(RunRow.status != "error")
     if not include_scheduled:
-        stmt = stmt.where(or_(run_id_column.is_(None), run_id_column.not_in(_scheduled_run_ids_stmt())))
+        stmt = stmt.where(_not_scheduled_run_id_filter(run_id_column))
         stmt = stmt.where(_non_scheduled_run_filter())
     return stmt
 
@@ -706,8 +719,8 @@ def _apply_tool_scope(
 ):
     stmt = _apply_user_scope(stmt, ToolCallMetricRow.user_id, exclude_user_ids=exclude_user_ids, include_admins=include_admins)
     if not include_scheduled:
-        stmt = stmt.where(or_(ToolCallMetricRow.run_id.is_(None), ToolCallMetricRow.run_id.not_in(_scheduled_run_ids_stmt())))
-        stmt = stmt.outerjoin(RunRow, RunRow.run_id == ToolCallMetricRow.run_id).where(_non_scheduled_tool_filter())
+        stmt = stmt.where(_not_scheduled_run_id_filter(ToolCallMetricRow.run_id))
+        stmt = stmt.where(_non_scheduled_tool_filter())
     return stmt
 
 
@@ -985,7 +998,7 @@ async def _query_model_rankings(
     if not include_failed:
         stmt = stmt.where(LlmCallMetricRow.status != "error")
     if not include_scheduled:
-        stmt = stmt.where(or_(LlmCallMetricRow.run_id.is_(None), LlmCallMetricRow.run_id.not_in(_scheduled_run_ids_stmt())))
+        stmt = stmt.where(_not_scheduled_run_id_filter(LlmCallMetricRow.run_id))
     rows = (await _execute_leaderboard_query(session, "model_rankings", stmt)).all()
     return [
         AdminLeaderboardDimension(
@@ -1080,8 +1093,8 @@ async def _query_overview(
     if not include_failed:
         run_where.append(RunRow.status != "error")
     if not include_scheduled:
-        run_where.append(or_(RunRow.run_id.is_(None), RunRow.run_id.not_in(_scheduled_run_ids_stmt())))
-        tool_where.append(or_(ToolCallMetricRow.run_id.is_(None), ToolCallMetricRow.run_id.not_in(_scheduled_run_ids_stmt())))
+        run_where.append(_not_scheduled_run_id_filter(RunRow.run_id))
+        tool_where.append(_not_scheduled_run_id_filter(ToolCallMetricRow.run_id))
         tool_where.append(_non_scheduled_tool_filter())
 
     total_users_stmt = select(func.count(UserRow.id))
@@ -1104,7 +1117,6 @@ async def _query_overview(
             func.count(ToolCallMetricRow.id),
             func.sum(case((func.nullif(ToolCallMetricRow.skill_name, "").is_not(None), 1), else_=0)),
         )
-        .outerjoin(RunRow, RunRow.run_id == ToolCallMetricRow.run_id)
         .where(*tool_where)
     )
     tool_row = (await _execute_leaderboard_query(session, "overview.tool_summary", tool_summary_stmt)).one()
diff --git a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
index 560dadfd..dc719b71 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
@@ -6,6 +6,7 @@ import asyncio
 import hashlib
 import json
 import logging
+import mimetypes
 import re
 import time
 from dataclasses import replace
@@ -47,6 +48,9 @@ from app.gateway.weknora_embed import (
 from app.gateway.weknora_embed import (
     verify_weknora_embed_cookie as _verify_embed_cookie,
 )
+from app.gateway.weknora_embed import (
+    verify_weknora_signed_payload as _verify_signed_payload,
+)
 from deerflow.config.agents_config import load_agent_config
 from deerflow.config.llmwiki_config import LlmWikiRuntimeOverride, normalize_service_url
 from deerflow.config.system_settings import load_system_settings, save_system_settings
@@ -61,6 +65,7 @@ router = APIRouter(tags=["llmwiki"])
 proxy_router = APIRouter(tags=["llmwiki-proxy"])
 
 _MAX_UPLOAD_BYTES = 100 * 1024 * 1024
+_WIKI_FILE_ACCESS_TTL_SECONDS = 24 * 60 * 60
 _PROTECTED_WIKI_FILE_PATH = re.compile(
     r"^(?:storage://[0-9A-Za-z_-]+/)?(?:resource|local|minio|cos|tos|s3|oss|ks3|obs)://",
     re.IGNORECASE,
@@ -1909,19 +1914,23 @@ def _validate_protected_wiki_file_path(file_path: str) -> str:
 
 
 async def _wiki_file_response(row: dict[str, Any], file_path: str, *, public: bool) -> Response:
+    safe_file_path = _validate_protected_wiki_file_path(file_path)
     try:
         content, media_type = await _client_or_503().get_knowledge_base_file(
             str(row["weknora_id"]),
-            _validate_protected_wiki_file_path(file_path),
+            safe_file_path,
         )
     except WeKnoraError as exc:
         _raise_upstream(exc)
+    filename = unquote(safe_file_path.rstrip("/").rsplit("/", 1)[-1]).replace("\r", "").replace("\n", "") or "wiki-file"
+    if "." not in filename:
+        filename += mimetypes.guess_extension(str(media_type).split(";", 1)[0].strip()) or ""
     return Response(
         content=content,
         media_type=media_type,
         headers={
-            "Cache-Control": "public, max-age=300" if public else "private, max-age=60",
-            "Content-Disposition": "inline",
+            "Cache-Control": "public, max-age=300" if public else "private, max-age=3600",
+            "Content-Disposition": f"inline; filename*=UTF-8''{quote(filename, safe='')}",
             "X-Content-Type-Options": "nosniff",
         },
     )
@@ -2629,6 +2638,25 @@ async def get_public_wiki_file(
     return await _wiki_file_response(row, file_path, public=True)
 
 
+@router.get("/api/public/llmwiki/files/{token}")
+async def get_signed_wiki_file(token: str) -> Response:
+    """Serve a private Wiki image through a short-lived, signed HTTP URL."""
+
+    payload = _verify_signed_payload(token)
+    if payload.get("kind") != "wiki_file":
+        raise HTTPException(status_code=401, detail="Signed Wiki file token is invalid")
+    mapping_id = str(payload.get("mapping_id") or "")
+    weknora_id = str(payload.get("weknora_id") or "")
+    file_path = str(payload.get("file_path") or "")
+    if not mapping_id or not weknora_id or not file_path:
+        raise HTTPException(status_code=401, detail="Signed Wiki file token is invalid")
+    return await _wiki_file_response(
+        {"id": mapping_id, "weknora_id": weknora_id},
+        file_path,
+        public=False,
+    )
+
+
 _PUBLIC_WIKI_INDEX_TYPES = ("summary", "entity", "concept", "synthesis", "comparison")
 
 
@@ -2951,6 +2979,28 @@ async def get_wiki_file(
     return await _wiki_file_response(row, file_path, public=False)
 
 
+@router.get("/api/llmwiki/knowledge-bases/{mapping_id}/files/access-url")
+async def create_wiki_file_access(
+    request: Request,
+    mapping_id: str,
+    file_path: str = Query(..., min_length=1, max_length=8192),
+) -> dict[str, Any]:
+    """Issue a browser-usable HTTP capability after normal KB authorization."""
+
+    row, _, _ = await _authorized_mapping(request, mapping_id, write=False)
+    safe_file_path = _validate_protected_wiki_file_path(file_path)
+    token = _sign_embed_payload(
+        {
+            "kind": "wiki_file",
+            "mapping_id": mapping_id,
+            "weknora_id": str(row["weknora_id"]),
+            "file_path": safe_file_path,
+            "exp": int(time.time()) + _WIKI_FILE_ACCESS_TTL_SECONDS,
+        }
+    )
+    return {"token": token, "expires_in": _WIKI_FILE_ACCESS_TTL_SECONDS}
+
+
 @router.get("/api/llmwiki/knowledge-bases/{mapping_id}/graph")
 async def get_knowledge_base_graph(
     request: Request,
diff --git a/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py b/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py
index 8c69ccea..4862e46f 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/llmwiki_index.py
@@ -245,6 +245,33 @@ async def knowledge_base_wiki_index_status(request: Request, mapping_id: str) ->
         raise HTTPException(status_code=503, detail={"code": "WIKI_INDEX_UNAVAILABLE"})
     states = await index_store.list_index_status([mapping_id])
     state = states[0] if states else {"knowledge_base_mapping_id": mapping_id, "state": "not_synced", "index_revision": 0}
+    if (
+        state.get("state") == "idle"
+        and int(state.get("index_revision") or 0) == 0
+        and not state.get("last_completed_at")
+        and not state.get("last_success_at")
+    ):
+        state = {**state, "state": "not_synced"}
+    pages = await index_store.list_page_index_status(mapping_id)
+    active_sync_id = str(state.get("active_sync_id") or "")
+    is_running = str(state.get("state") or "") in {"running", "rebuilding"}
+    for page in pages:
+        page["vectorized"] = page.get("index_status") == "ready" and int(page.get("vector_count") or 0) > 0
+        page["processed_in_current_sync"] = bool(active_sync_id) and page.get("last_seen_sync_id") == active_sync_id
+    total_pages = max(int(state.get("remote_page_count") or 0), len(pages))
+    processed_pages = (
+        sum(bool(page["processed_in_current_sync"]) for page in pages)
+        if is_running
+        else total_pages if str(state.get("state") or "") in {"idle", "partial"} else 0
+    )
+    completion_percent = (
+        min(100, round((processed_pages / total_pages) * 100))
+        if total_pages
+        else 100
+        if str(state.get("state") or "") in {"idle", "partial"}
+        and bool(state.get("last_completed_at") or state.get("last_success_at"))
+        else 0
+    )
     embedding = getattr(request.app.state, "llmwiki_embedding", None)
     fingerprint = embedding.fingerprint if embedding is not None else None
     fully_vectorized = bool(mapping.get("wiki_index_enabled", True)) and is_fully_vectorized(state, fingerprint)
@@ -255,6 +282,15 @@ async def knowledge_base_wiki_index_status(request: Request, mapping_id: str) ->
         "wiki_index_enabled": mapping.get("wiki_index_enabled", True),
         "fully_vectorized": fully_vectorized,
         "retrieval_mode": "vector" if fully_vectorized else "wiki_api",
+        "progress": {
+            "total_pages": total_pages,
+            "processed_pages": processed_pages,
+            "vectorized_pages": sum(bool(page["vectorized"]) for page in pages),
+            "failed_pages": sum(bool(page.get("last_error")) or page.get("index_status") in {"failed", "stale"} for page in pages),
+            "vector_count": sum(int(page.get("vector_count") or 0) for page in pages),
+            "completion_percent": completion_percent,
+        },
+        "pages": pages,
     }
 
 
diff --git a/offline-backend-20260512/backend/app/gateway/weknora_embed.py b/offline-backend-20260512/backend/app/gateway/weknora_embed.py
index 24c529d2..81d00a2e 100644
--- a/offline-backend-20260512/backend/app/gateway/weknora_embed.py
+++ b/offline-backend-20260512/backend/app/gateway/weknora_embed.py
@@ -106,6 +106,26 @@ def sign_weknora_embed_payload(payload: dict[str, Any]) -> str:
     return f"{body}.{_b64url_encode(sig)}"
 
 
+def verify_weknora_signed_payload(raw: str | None) -> dict[str, Any]:
+    """Verify a short-lived capability signed with the iframe proxy secret."""
+
+    if not raw or "." not in raw:
+        raise HTTPException(status_code=401, detail="Signed resource token is missing")
+    body, sig = raw.rsplit(".", 1)
+    expected = _b64url_encode(hmac.new(WEKNORA_PROXY_SECRET.encode("utf-8"), body.encode("ascii"), hashlib.sha256).digest())
+    if not hmac.compare_digest(sig, expected):
+        raise HTTPException(status_code=401, detail="Signed resource token is invalid")
+    try:
+        payload = json.loads(_b64url_decode(body))
+    except (ValueError, TypeError, json.JSONDecodeError):
+        raise HTTPException(status_code=401, detail="Signed resource token is invalid") from None
+    if not isinstance(payload, dict):
+        raise HTTPException(status_code=401, detail="Signed resource token is invalid")
+    if int(payload.get("exp") or 0) < int(time.time()):
+        raise HTTPException(status_code=401, detail="Signed resource token has expired")
+    return payload
+
+
 def verify_weknora_embed_cookie(raw: str | None) -> WeKnoraEmbedContext:
     if not raw or "." not in raw:
         raise HTTPException(status_code=401, detail="WeKnora iframe session is missing")
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/sync.py b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/sync.py
index 5805c5e4..e6328b3e 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/sync.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/sync.py
@@ -90,6 +90,13 @@ class WikiSyncService:
                 batch = await self.client.list_wiki_pages(remote_id, page=page_number, page_size=self.config.sync_page_size)
                 pages = [page for page in batch.get("pages", []) if isinstance(page, dict)]
                 remote_count += len(pages)
+                reported_total = int(batch.get("total") or batch.get("total_count") or remote_count)
+                await self.store.update_sync_progress(
+                    mapping_id,
+                    owner=self.owner,
+                    sync_id=sync_id,
+                    remote_page_count=max(remote_count, reported_total),
+                )
                 for summary in pages:
                     try:
                         _ensure_lease()
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llm_metrics/model.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llm_metrics/model.py
index e6882fa9..5f427180 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llm_metrics/model.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llm_metrics/model.py
@@ -18,6 +18,7 @@ class LlmCallMetricRow(Base):
     __table_args__ = (
         Index("ix_llm_call_metrics_created_user", "created_at", "user_id"),
         Index("ix_llm_call_metrics_run_created", "run_id", "created_at"),
+        Index("ix_llm_call_metrics_created_model_user", "created_at", "model_name", "user_id"),
     )
 
     id: Mapped[str] = mapped_column(String(64), primary_key=True)
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/base.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/base.py
index 044740d4..378abd0a 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/base.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/base.py
@@ -44,11 +44,24 @@ class LlmWikiIndexStore(ABC):
     @abstractmethod
     async def renew_sync_lease(self, mapping_id: str, *, owner: str, lease_seconds: int) -> bool: ...
 
+    @abstractmethod
+    async def update_sync_progress(
+        self,
+        mapping_id: str,
+        *,
+        owner: str,
+        sync_id: str,
+        remote_page_count: int,
+    ) -> bool: ...
+
     @abstractmethod
     async def finish_sync(self, mapping_id: str, *, owner: str, sync_id: str, success: bool, remote_page_count: int, error: str | None = None) -> None: ...
 
     @abstractmethod
     async def list_index_status(self, mapping_ids: list[str] | None = None) -> list[dict[str, Any]]: ...
 
+    @abstractmethod
+    async def list_page_index_status(self, mapping_id: str) -> list[dict[str, Any]]: ...
+
     @abstractmethod
     async def mark_rebuild_required(self, mapping_ids: list[str], fingerprint: str) -> int: ...
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/memory.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/memory.py
index 51e9e512..d987d812 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/memory.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/memory.py
@@ -123,6 +123,21 @@ class MemoryLlmWikiIndexStore(LlmWikiIndexStore):
         state["lease_expires_at"] = _now() + timedelta(seconds=lease_seconds)
         return True
 
+    async def update_sync_progress(
+        self,
+        mapping_id: str,
+        *,
+        owner: str,
+        sync_id: str,
+        remote_page_count: int,
+    ) -> bool:
+        state = self._state(mapping_id)
+        if state.get("lease_owner") != owner or state.get("active_sync_id") != sync_id:
+            return False
+        state["remote_page_count"] = max(0, remote_page_count)
+        state["updated_at"] = _now()
+        return True
+
     async def finish_sync(self, mapping_id: str, *, owner: str, sync_id: str, success: bool, remote_page_count: int, error: str | None = None) -> None:
         state = self._state(mapping_id)
         if state.get("lease_owner") != owner or state.get("active_sync_id") != sync_id:
@@ -150,6 +165,33 @@ class MemoryLlmWikiIndexStore(LlmWikiIndexStore):
         wanted = set(mapping_ids or [])
         return [dict(value) for key, value in self.states.items() if not wanted or key in wanted]
 
+    async def list_page_index_status(self, mapping_id: str) -> list[dict[str, Any]]:
+        result = []
+        for page in sorted(
+            (
+                page
+                for page in self.pages.values()
+                if page["knowledge_base_mapping_id"] == mapping_id and not page.get("is_remote_deleted")
+            ),
+            key=lambda page: (str(page.get("wiki_path") or ""), str(page.get("slug") or "")),
+        ):
+            result.append(
+                {
+                    "id": page["id"],
+                    "slug": page["slug"],
+                    "title": page["title"],
+                    "page_type": page["page_type"],
+                    "status": page["status"],
+                    "index_status": page["index_status"],
+                    "vector_count": len(self.vectors.get(page["id"], [])),
+                    "indexed_at": page.get("indexed_at"),
+                    "last_error": page.get("last_error"),
+                    "last_seen_sync_id": page.get("last_seen_sync_id"),
+                    "updated_at": page.get("updated_at"),
+                }
+            )
+        return result
+
     async def mark_rebuild_required(self, mapping_ids: list[str], fingerprint: str) -> int:
         for mapping_id in mapping_ids:
             state = self._state(mapping_id)
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py
index 75f9ff68..1cedc952 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/llmwiki_index/sql.py
@@ -235,6 +235,27 @@ class SqlLlmWikiIndexStore(LlmWikiIndexStore):
             await session.commit()
             return bool(result.rowcount)
 
+    async def update_sync_progress(
+        self,
+        mapping_id: str,
+        *,
+        owner: str,
+        sync_id: str,
+        remote_page_count: int,
+    ) -> bool:
+        async with self._sf() as session:
+            result = await session.execute(
+                update(LlmWikiWikiSyncStateRow)
+                .where(
+                    LlmWikiWikiSyncStateRow.knowledge_base_mapping_id == mapping_id,
+                    LlmWikiWikiSyncStateRow.lease_owner == owner,
+                    LlmWikiWikiSyncStateRow.active_sync_id == sync_id,
+                )
+                .values(remote_page_count=max(0, remote_page_count), updated_at=_now())
+            )
+            await session.commit()
+            return bool(result.rowcount)
+
     async def finish_sync(self, mapping_id: str, *, owner: str, sync_id: str, success: bool, remote_page_count: int, error: str | None = None) -> None:
         async with self._sf() as session:
             state = await session.get(LlmWikiWikiSyncStateRow, mapping_id)
@@ -286,6 +307,47 @@ class SqlLlmWikiIndexStore(LlmWikiIndexStore):
         async with self._sf() as session:
             return [_dict(row) for row in (await session.execute(stmt)).scalars()]
 
+    async def list_page_index_status(self, mapping_id: str) -> list[dict[str, Any]]:
+        vector_counts = (
+            select(
+                LlmWikiWikiVectorRow.page_id.label("page_id"),
+                func.count(LlmWikiWikiVectorRow.id).label("vector_count"),
+            )
+            .where(LlmWikiWikiVectorRow.knowledge_base_mapping_id == mapping_id)
+            .group_by(LlmWikiWikiVectorRow.page_id)
+            .subquery()
+        )
+        stmt = (
+            select(LlmWikiWikiPageRow, func.coalesce(vector_counts.c.vector_count, 0))
+            .outerjoin(vector_counts, vector_counts.c.page_id == LlmWikiWikiPageRow.id)
+            .where(
+                LlmWikiWikiPageRow.knowledge_base_mapping_id == mapping_id,
+                LlmWikiWikiPageRow.is_remote_deleted.is_(False),
+            )
+            .order_by(LlmWikiWikiPageRow.wiki_path, LlmWikiWikiPageRow.slug)
+        )
+        async with self._sf() as session:
+            rows = (await session.execute(stmt)).all()
+        result: list[dict[str, Any]] = []
+        for row, vector_count in rows:
+            page = _dict(row)
+            result.append(
+                {
+                    "id": page["id"],
+                    "slug": page["slug"],
+                    "title": page["title"],
+                    "page_type": page["page_type"],
+                    "status": page["status"],
+                    "index_status": page["index_status"],
+                    "vector_count": int(vector_count or 0),
+                    "indexed_at": page.get("indexed_at"),
+                    "last_error": page.get("last_error"),
+                    "last_seen_sync_id": page.get("last_seen_sync_id"),
+                    "updated_at": page.get("updated_at"),
+                }
+            )
+        return result
+
     async def mark_rebuild_required(self, mapping_ids: list[str], fingerprint: str) -> int:
         if not mapping_ids:
             return 0
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_01_fixed_questions.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_01_fixed_questions.py
index dfeca77f..2c9b04a9 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_01_fixed_questions.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_01_fixed_questions.py
@@ -1,7 +1,7 @@
 """Create administrator-managed exact-match fixed questions.
 
-Revision ID: 20260821_01
-Revises: 20260816_01
+Revision ID: 20260821_03
+Revises: 20260821_01
 Create Date: 2026-08-21
 """
 
@@ -11,8 +11,8 @@ import sqlalchemy as sa
 from alembic import op
 from sqlalchemy.dialects import mysql
 
-revision = "20260821_01"
-down_revision = "20260816_01"
+revision = "20260821_03"
+down_revision = "20260821_01"
 branch_labels = None
 depends_on = None
 
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_02_fixed_question_stream_speed.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_02_fixed_question_stream_speed.py
index b26747b7..28d034fe 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_02_fixed_question_stream_speed.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260821_02_fixed_question_stream_speed.py
@@ -1,7 +1,7 @@
 """Add configurable fixed-answer streaming speed.
 
-Revision ID: 20260821_02
-Revises: 20260821_01
+Revision ID: 20260821_04
+Revises: 20260821_03
 Create Date: 2026-08-21
 """
 
@@ -10,8 +10,8 @@ from __future__ import annotations
 import sqlalchemy as sa
 from alembic import op
 
-revision = "20260821_02"
-down_revision = "20260821_01"
+revision = "20260821_04"
+down_revision = "20260821_03"
 branch_labels = None
 depends_on = None
 
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260823_01_llmwiki_local_wiki_index.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260823_01_llmwiki_local_wiki_index.py
index e32dce19..3dddb3b4 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260823_01_llmwiki_local_wiki_index.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260823_01_llmwiki_local_wiki_index.py
@@ -1,7 +1,7 @@
 """Add DeerFlow-local WeKnora Wiki mirror and vector index.
 
 Revision ID: 20260823_01
-Revises: 20260821_02
+Revises: 20260821_04
 Create Date: 2026-08-23
 """
 
@@ -12,7 +12,7 @@ from alembic import op
 from sqlalchemy.dialects import mysql
 
 revision = "20260823_01"
-down_revision = "20260821_02"
+down_revision = "20260821_04"
 branch_labels = None
 depends_on = None
 
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260825_01_merge_report_structure_and_llmwiki_heads.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260825_01_merge_report_structure_and_llmwiki_heads.py
new file mode 100644
index 00000000..e1904209
--- /dev/null
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260825_01_merge_report_structure_and_llmwiki_heads.py
@@ -0,0 +1,34 @@
+"""Merge report-structure and local-Wiki heads, repairing the old duplicate stamp.
+
+Revision ID: 20260825_01
+Revises: 20260822_02, 20260823_01
+Create Date: 2026-08-25
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "20260825_01"
+down_revision = ("20260822_02", "20260823_01")
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # An older build accidentally used 20260821_01 for two migrations. A DB
+    # stamped by the fixed-question variant may therefore still lack this
+    # report column even though Alembic considers the surviving 01 applied.
+    inspector = sa.inspect(op.get_bind())
+    if inspector.has_table("report_structures"):
+        columns = {column["name"] for column in inspector.get_columns("report_structures")}
+        if "structure_mode" not in columns:
+            op.add_column(
+                "report_structures",
+                sa.Column("structure_mode", sa.String(length=16), nullable=False, server_default="adaptive"),
+            )
+
+
+def downgrade() -> None:
+    pass
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/run/model.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/run/model.py
index 8f75f10a..9c7d52cf 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/run/model.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/run/model.py
@@ -52,4 +52,6 @@ class RunRow(Base):
         Index("ix_runs_created_user_status", "created_at", "user_id", "status"),
         Index("ix_runs_user_created", "user_id", "created_at"),
         Index("ix_runs_thread_created", "thread_id", "created_at"),
+        Index("ix_runs_created_assistant_user", "created_at", "assistant_id", "user_id"),
+        Index("ix_runs_created_model_user", "created_at", "model_name", "user_id"),
     )
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/tool_metrics/model.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/tool_metrics/model.py
index b55d407f..a78cc664 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/tool_metrics/model.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/tool_metrics/model.py
@@ -24,6 +24,8 @@ class ToolCallMetricRow(Base):
     __table_args__ = (
         Index("ix_tool_call_metrics_created_user", "created_at", "user_id"),
         Index("ix_tool_call_metrics_run_created", "run_id", "created_at"),
+        Index("ix_tool_call_metrics_created_skill_user", "created_at", "skill_name", "user_id"),
+        Index("ix_tool_call_metrics_created_tool_user", "created_at", "tool_name", "user_id"),
     )
 
     id: Mapped[str] = mapped_column(String(64), primary_key=True)
diff --git a/offline-backend-20260512/backend/scripts/sql/leaderboard_indexes_mysql.sql b/offline-backend-20260512/backend/scripts/sql/leaderboard_indexes_mysql.sql
index 5ce390fc..6e860cde 100644
--- a/offline-backend-20260512/backend/scripts/sql/leaderboard_indexes_mysql.sql
+++ b/offline-backend-20260512/backend/scripts/sql/leaderboard_indexes_mysql.sql
@@ -4,9 +4,9 @@
 --
 -- 背景:
 --   这些索引声明在各 ORM model 的 __table_args__ 里,但 Base.metadata.create_all
---   对【已存在的表】不会补建索引,而 alembic 自动迁移在本项目里是关闭的
---   (engine.py 中 `# await _run_alembic_upgrade(url)` 被注释)。
---   因此在【已有数据的 MySQL 部署】上,这些索引很可能并未真正创建,排行榜的
+--   对【已存在的表】不会补建索引。本项目虽会在启动时运行 Alembic，但大表
+--   补索引刻意不放进启动迁移，避免在线建索引拖长或阻塞服务启动。
+--   因此在【已有数据的 MySQL 部署】上需要低峰期执行本脚本，否则排行榜的
 --   单日聚合查询会退化为全表扫描,拖慢并占用连接。
 --
 -- 用法:
@@ -55,19 +55,28 @@ DELIMITER ;
 CALL _create_index_if_missing('runs', 'ix_runs_created_user_status', '`created_at`, `user_id`, `status`');
 CALL _create_index_if_missing('runs', 'ix_runs_user_created',        '`user_id`, `created_at`');
 CALL _create_index_if_missing('runs', 'ix_runs_thread_created',      '`thread_id`, `created_at`');
+CALL _create_index_if_missing('runs', 'ix_runs_created_assistant_user', '`created_at`, `assistant_id`, `user_id`');
+CALL _create_index_if_missing('runs', 'ix_runs_created_model_user',     '`created_at`, `model_name`, `user_id`');
 
 -- ---- tool_call_metrics -------------------------------------------------------
 CALL _create_index_if_missing('tool_call_metrics', 'ix_tool_call_metrics_created_user', '`created_at`, `user_id`');
 CALL _create_index_if_missing('tool_call_metrics', 'ix_tool_call_metrics_run_created',  '`run_id`, `created_at`');
+CALL _create_index_if_missing('tool_call_metrics', 'ix_tool_call_metrics_created_skill_user', '`created_at`, `skill_name`, `user_id`');
+CALL _create_index_if_missing('tool_call_metrics', 'ix_tool_call_metrics_created_tool_user',  '`created_at`, `tool_name`, `user_id`');
 
 -- ---- llm_call_metrics --------------------------------------------------------
 CALL _create_index_if_missing('llm_call_metrics', 'ix_llm_call_metrics_created_user', '`created_at`, `user_id`');
 CALL _create_index_if_missing('llm_call_metrics', 'ix_llm_call_metrics_run_created',  '`run_id`, `created_at`');
+CALL _create_index_if_missing('llm_call_metrics', 'ix_llm_call_metrics_created_model_user', '`created_at`, `model_name`, `user_id`');
 
 -- ---- threads_meta ------------------------------------------------------------
 CALL _create_index_if_missing('threads_meta', 'ix_threads_meta_created_user', '`created_at`, `user_id`');
 CALL _create_index_if_missing('threads_meta', 'ix_threads_meta_user_created', '`user_id`, `created_at`');
 
+-- ---- scheduled_task_runs -----------------------------------------------------
+-- NOT EXISTS anti-join used when the leaderboard excludes scheduler runs.
+CALL _create_index_if_missing('scheduled_task_runs', 'ix_scheduled_task_runs_agent_run_id', '`agent_run_id`');
+
 -- ---- position_roundtable_sessions --------------------------------------------
 -- Explicit taskId history is loaded by taskId and newest update time.
 CALL _create_index_if_missing('position_roundtable_sessions', 'ix_position_roundtable_sessions_task_updated', '`external_task_id`, `updated_at`');
@@ -75,15 +84,19 @@ CALL _create_index_if_missing('position_roundtable_sessions', 'ix_position_round
 -- ---- 清理临时存储过程 --------------------------------------------------------
 DROP PROCEDURE IF EXISTS _create_index_if_missing;
 
--- ---- 执行后自检:确认 9 个索引都已存在 ---------------------------------------
+-- ---- 执行后自检:确认排行榜索引都已存在 ----------------------------------------
 SELECT table_name, index_name
   FROM information_schema.statistics
  WHERE table_schema = DATABASE()
    AND index_name IN (
        'ix_runs_created_user_status', 'ix_runs_user_created', 'ix_runs_thread_created',
+       'ix_runs_created_assistant_user', 'ix_runs_created_model_user',
        'ix_tool_call_metrics_created_user', 'ix_tool_call_metrics_run_created',
+       'ix_tool_call_metrics_created_skill_user', 'ix_tool_call_metrics_created_tool_user',
        'ix_llm_call_metrics_created_user', 'ix_llm_call_metrics_run_created',
-       'ix_threads_meta_created_user', 'ix_threads_meta_user_created'
+       'ix_llm_call_metrics_created_model_user',
+       'ix_threads_meta_created_user', 'ix_threads_meta_user_created',
+       'ix_scheduled_task_runs_agent_run_id'
    )
  GROUP BY table_name, index_name
  ORDER BY table_name, index_name;
diff --git a/offline-backend-20260512/backend/tests/test_admin_leaderboard_query_shape.py b/offline-backend-20260512/backend/tests/test_admin_leaderboard_query_shape.py
new file mode 100644
index 00000000..c16f805d
--- /dev/null
+++ b/offline-backend-20260512/backend/tests/test_admin_leaderboard_query_shape.py
@@ -0,0 +1,43 @@
+from __future__ import annotations
+
+from sqlalchemy import select
+from sqlalchemy.dialects import mysql
+
+from app.gateway.routers.admin_users import _apply_run_scope, _apply_tool_scope
+from deerflow.persistence.run.model import RunRow
+from deerflow.persistence.tool_metrics.model import ToolCallMetricRow
+
+
+def _mysql_sql(stmt) -> str:
+    return str(stmt.compile(dialect=mysql.dialect(), compile_kwargs={"literal_binds": True})).upper()
+
+
+def test_excluding_scheduled_runs_uses_index_friendly_not_exists() -> None:
+    stmt = _apply_run_scope(
+        select(RunRow.run_id),
+        user_column=RunRow.user_id,
+        run_id_column=RunRow.run_id,
+        exclude_user_ids=set(),
+        include_admins=True,
+        include_failed=True,
+        include_scheduled=False,
+    )
+    sql = _mysql_sql(stmt)
+
+    assert "NOT (EXISTS" in sql
+    assert "SCHEDULED_TASK_RUNS" in sql
+    assert " NOT IN " not in sql
+
+
+def test_tool_aggregation_does_not_join_the_full_runs_table() -> None:
+    stmt = _apply_tool_scope(
+        select(ToolCallMetricRow.tool_name),
+        exclude_user_ids=set(),
+        include_admins=True,
+        include_scheduled=False,
+    )
+    sql = _mysql_sql(stmt)
+
+    assert sql.count("NOT (EXISTS") == 2
+    assert "LEFT OUTER JOIN" not in sql
+    assert " NOT IN " not in sql
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py b/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py
index ad93a117..d88d90d5 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_local_index_repository.py
@@ -66,6 +66,22 @@ async def test_sql_store_atomically_replaces_vectors_and_marks_missing_deleted(t
     assert store.write_batch_size == 1
     assert len(snapshot["rows"]) == 3
     assert decode_vector(snapshot["rows"][0]["vector_blob"], 2).tolist() == pytest.approx([0.6, 0.8])
+    page_statuses = await store.list_page_index_status("mapping-1")
+    assert len(page_statuses) == 1
+    assert page_statuses[0] == {
+        **page_statuses[0],
+        "id": saved["id"],
+        "slug": "people/alice",
+        "title": "Alice",
+        "page_type": "article",
+        "status": "published",
+        "index_status": "ready",
+        "vector_count": 3,
+        "last_error": None,
+        "last_seen_sync_id": "sync-1",
+    }
+    assert page_statuses[0]["indexed_at"]
+    assert page_statuses[0]["updated_at"]
 
     assert await store.mark_missing_pages_deleted("mapping-1", "sync-2") == 1
     assert (await store.load_vector_snapshot("mapping-1", "fp"))["rows"] == []
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py b/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
index a93a573f..77142859 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_wiki_sync.py
@@ -54,7 +54,11 @@ class FakeWeKnora:
         return {"id": knowledge_base_id, "indexing_strategy": {"wiki_enabled": True}}
 
     async def list_wiki_pages(self, knowledge_base_id: str, *, page: int, page_size: int):
-        return {"pages": [{"slug": item["slug"], "title": item["title"]} for item in self.pages.values()], "total_pages": 1}
+        return {
+            "pages": [{"slug": item["slug"], "title": item["title"]} for item in self.pages.values()],
+            "total": len(self.pages),
+            "total_pages": 1,
+        }
 
     async def get_wiki_page(self, knowledge_base_id: str, slug: str):
         return dict(self.pages[slug])
@@ -139,6 +143,10 @@ async def test_sync_is_incremental_and_full_scan_deletes_missing_pages() -> None
     first = await service.sync_mapping(mapping)
     assert first["changed_pages"] == 1
     assert embedding.calls == 1
+    statuses = await store.list_page_index_status("kb")
+    assert statuses[0]["title"] == "One"
+    assert statuses[0]["vector_count"] > 0
+    assert store.states["kb"]["remote_page_count"] == 1
     second = await service.sync_mapping(mapping)
     assert second["changed_pages"] == 0
     assert embedding.calls == 1
diff --git a/offline-backend-20260512/backend/tests/test_migration_graph.py b/offline-backend-20260512/backend/tests/test_migration_graph.py
new file mode 100644
index 00000000..e87741ef
--- /dev/null
+++ b/offline-backend-20260512/backend/tests/test_migration_graph.py
@@ -0,0 +1,17 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+from alembic.config import Config
+from alembic.script import ScriptDirectory
+
+
+def test_migration_graph_has_unique_revisions_and_one_head() -> None:
+    migrations = Path(__file__).parents[1] / "packages" / "harness" / "deerflow" / "persistence" / "migrations"
+    config = Config()
+    config.set_main_option("script_location", str(migrations))
+    scripts = ScriptDirectory.from_config(config)
+
+    revisions = list(scripts.walk_revisions())
+    assert len({revision.revision for revision in revisions}) == len(revisions)
+    assert len(scripts.get_heads()) == 1
diff --git a/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py b/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
index 944b94c2..658e6043 100644
--- a/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
+++ b/offline-backend-20260512/backend/tests/test_public_llmwiki_embed.py
@@ -7,6 +7,7 @@ from fastapi import HTTPException
 from starlette.requests import Request
 
 from app.gateway.routers import llmwiki
+from app.gateway.weknora_embed import verify_weknora_signed_payload
 
 
 def _request(store: object) -> Request:
@@ -199,6 +200,38 @@ async def test_public_wiki_file_is_authorized_and_streamed(monkeypatch) -> None:
     assert response.body == b"png-bytes"
     assert response.media_type == "image/png"
     assert response.headers["cache-control"] == "public, max-age=300"
+    assert response.headers["content-disposition"] == "inline; filename*=UTF-8''figure.png"
+
+
+@pytest.mark.asyncio
+async def test_private_wiki_file_uses_signed_http_access_instead_of_blob_url(monkeypatch) -> None:
+    async def authorized_mapping(*_args, **_kwargs):
+        return _published_row(), "user-one", False
+
+    class Client:
+        async def get_knowledge_base_file(self, knowledge_base_id: str, file_path: str):
+            assert knowledge_base_id == "remote-one"
+            assert file_path == "storage://tenant/resource://wiki/figure.png"
+            return b"png-bytes", "image/png"
+
+    monkeypatch.setattr(llmwiki, "_authorized_mapping", authorized_mapping)
+    monkeypatch.setattr(llmwiki, "_client_or_503", lambda: Client())
+
+    access = await llmwiki.create_wiki_file_access(
+        _request(PublicStore(_published_row())),
+        "kb-one",
+        "storage://tenant/resource://wiki/figure.png",
+    )
+    payload = verify_weknora_signed_payload(access["token"])
+    assert payload["kind"] == "wiki_file"
+    assert payload["mapping_id"] == "kb-one"
+    assert payload["weknora_id"] == "remote-one"
+    assert payload["file_path"] == "storage://tenant/resource://wiki/figure.png"
+
+    response = await llmwiki.get_signed_wiki_file(access["token"])
+    assert response.body == b"png-bytes"
+    assert response.headers["cache-control"] == "private, max-age=3600"
+    assert response.headers["content-disposition"] == "inline; filename*=UTF-8''figure.png"
 
 
 def test_wiki_file_proxy_rejects_non_weknora_urls() -> None:
@@ -208,6 +241,23 @@ def test_wiki_file_proxy_rejects_non_weknora_urls() -> None:
     assert exc_info.value.status_code == 422
 
 
+@pytest.mark.asyncio
+async def test_wiki_file_proxy_adds_image_extension_for_opaque_resource_ids(monkeypatch) -> None:
+    class Client:
+        async def get_knowledge_base_file(self, knowledge_base_id: str, file_path: str):
+            return b"png-bytes", "image/png"
+
+    monkeypatch.setattr(llmwiki, "_client_or_503", lambda: Client())
+
+    response = await llmwiki._wiki_file_response(
+        {"weknora_id": "remote-one"},
+        "resource://opaque-image-id",
+        public=True,
+    )
+
+    assert response.headers["content-disposition"] == "inline; filename*=UTF-8''opaque-image-id.png"
+
+
 @pytest.mark.asyncio
 async def test_public_wiki_index_preserves_weknora_group_and_item_order(monkeypatch) -> None:
     store = PublicStore(_published_row())

From d35d0756694bb5fcee37d86080561ef5d1d41c09 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=89=E9=91=AB=E5=8D=87?= <xsji@kland.com.cn>
Date: Wed, 26 Aug 2026 14:40:57 +0800
Subject: [PATCH 4/5] feat: add compact toolbox and public wiki vector search

---
 AGENTS.md                                     |   2 +-
 .../workspace/agents/agent-detail-panel.tsx   |  33 +--
 .../artifacts/artifact-file-detail.tsx        |  28 +--
 .../components/workspace/compact-toolbox.tsx  | 162 +++++++++++++++
 .../workspace/workspace-nav-chat-list.tsx     |   2 +
 .../compact-menu-overrides.test.ts            |   6 +-
 .../page-layout/compact-menu-overrides.ts     |   9 +-
 frontend-web/src/pages/AgentChatPage.tsx      |   2 +-
 frontend-web/src/pages/MenuManagementPage.tsx |  10 +-
 frontend-web/src/pages/PageRoutes.tsx         |   8 +
 .../api/compact-menu-overrides.ts             |  15 +-
 offline-backend-20260512/backend/CLAUDE.md    |  38 +++-
 offline-backend-20260512/backend/README.md    |  20 +-
 .../backend/app/gateway/app.py                |  32 ++-
 .../backend/app/gateway/auth_middleware.py    |   8 +-
 .../backend/app/gateway/csrf_middleware.py    |   6 +-
 .../app/gateway/public_knowledge_cors.py      |  49 +++++
 .../gateway/routers/compact_menu_overrides.py |   4 +-
 .../backend/app/gateway/routers/llmwiki.py    |  38 +---
 .../routers/public_knowledge_vector_search.py | 152 ++++++++++++++
 offline-backend-20260512/backend/config.yaml  |   2 +
 .../LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md |  32 +++
 .../harness/deerflow/config/llmwiki_config.py |  12 ++
 .../weknora/local_index/search.py             | 194 +++++++++++++++---
 .../compact_menu_overrides/memory.py          |   2 +-
 .../persistence/compact_menu_overrides/sql.py |   2 +-
 .../tests/test_compact_menu_overrides.py      |   6 +-
 .../tests/test_llmwiki_vector_search.py       |   7 +
 .../backend/tests/test_llmwiki_weknora.py     |   4 +-
 29 files changed, 757 insertions(+), 128 deletions(-)
 create mode 100644 frontend-web/src/components/workspace/compact-toolbox.tsx
 create mode 100644 offline-backend-20260512/backend/app/gateway/public_knowledge_cors.py
 create mode 100644 offline-backend-20260512/backend/app/gateway/routers/public_knowledge_vector_search.py

diff --git a/AGENTS.md b/AGENTS.md
index ff3dad8a..3ea99a4e 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -81,7 +81,7 @@ The frontend (`frontend-web/`) is a React 19 + Vite SPA:
 - **Pages**: `ChatPage` (thread chat), `AgentChatPage` (custom agent chat), `AgentsPage`/`NewAgentPage` (agent management), `ScheduledTasksPage`/`ScheduledTaskRunDetailPage` (scheduled tasks), `LightAppManagementPage`/`LightAppListPage`/`LightAppIframeView` (轻应用中心 — register/list/embed mini-apps)
 - **AI 写作·对话版（对话驱动写作台）**: a **parallel new entry** beside the classic AI-writing page (classic page/routes untouched) — route `/page/canvas/ai-writing-chat`, sidebar 「问答管理 → 课题研究(对话版)」. Page `open-canvas/pages/AIWritingChatPage.tsx` reuses the engine (`AIWritingContext` + `useStream` + `AIWritingDraftPanel`); **idle keeps the classic setup layout** (`WritingSetupChat` + collapsible form) and switches to the chat workbench once writing starts; left panel `components/ai-writing-chat/WritingChatPanel.tsx` = **unified chronological feed** (`ChatFlowTimeline.tsx`, chat bubbles anchor-interleaved into the progress timeline so triggered events render below the user's message) + button-only intervention cards (`ChatInterventionCards.tsx`, inline textareas removed) + bottom unified smart composer. Intent resolution: frontend fast path + `POST /api/ai-writing/sessions/{id}/intent` → `deerflow/agents/ai_writing/intent_router.py` (per-pause action whitelist, high-cost confidence gates, payload cleaning); supports QA bypass, clarify follow-ups, control intents, and material-stage auto re-search + pending-intent resume. Tests `tests/test_ai_writing_intent.py`; plan doc `frontend-web/docs/ai-writing-对话驱动写作台-实现方案.md`.
 - **轻应用中心 (Light App Center)**: a sibling of 任务管理 in the sidebar with two pages — 应用管理 (admin registers `window_open` or `iframe` mini-apps with a route-param builder: login params resolved from `localStorage.userInfo`, theme params literal) and 应用列表 (card grid of `window_open` apps, `window.open` launch). `iframe` apps are mounted under a chosen parent menu (XK/PG/TY/综合管理) and **dynamically injected into the sidebar** by `core/page-layout/use-sidebar-menu.ts` (`useSidebarMenuItems`), opening in the `LightAppIframeView` host. Client + React Query hooks in `strategy-components/api/light-apps.ts`; URL builder/constants in `strategy-components/lib/light-app.ts`. Backend: `/api/light-apps` (global/shared, admin-gated writes).
-- **菜单管理 (Menu Management, admin-only)**: an **overlay** over the static sidebar menu — `MenuManagementPage` (`pages/MenuManagementPage.tsx`, route `/page/strategy/admin/menu-management`, opened from the admin-only 「菜单管理」 item in the **bottom-left settings dropdown** of `components/page-sidebar.tsx`). Admins rename / 停用·启用 / reorder (↑↓ or @dnd-kit drag) / re-parent (horizontal drag **or** the edit dialog's 「移动到」parent selector) any node across 一级/二级/三级, **including injected iframe light-app nodes** (`light-app-<appId>`). The static tree (`core/page-layout/sidebar-menu.ts`) stays the source of icons/routes; only per-node deltas (`label`/`disabled`/`parentId`/`sortOrder`) persist to the backend. Merge logic in `core/page-layout/menu-overrides.ts` (`applyMenuOverrides`, applied in `use-sidebar-menu.ts` after light-app injection, before role filter; disabling a node hides its whole subtree) — strict **3-level cap** (`wouldExceedDepth`). Client `strategy-components/api/menu-overrides.ts`. Backend: `/api/menu-overrides` (global/shared; open read, admin atomic replace-all). **简介模式** left-nav is a separate overlay: `/api/compact-menu-overrides` stores two independent sets (type `A` / `B`); each website picks one via `runtime-config.js` `VITE_COMPACT_MENU_TYPE`.
+- **菜单管理 (Menu Management, admin-only)**: an **overlay** over the static sidebar menu — `MenuManagementPage` (`pages/MenuManagementPage.tsx`, route `/page/strategy/admin/menu-management`, opened from the admin-only 「菜单管理」 item in the **bottom-left settings dropdown** of `components/page-sidebar.tsx`). Admins rename / 停用·启用 / reorder (↑↓ or @dnd-kit drag) / re-parent (horizontal drag **or** the edit dialog's 「移动到」parent selector) any node across 一级/二级/三级, **including injected iframe light-app nodes** (`light-app-<appId>`). The static tree (`core/page-layout/sidebar-menu.ts`) stays the source of icons/routes; only per-node deltas (`label`/`disabled`/`parentId`/`sortOrder`) persist to the backend. Merge logic in `core/page-layout/menu-overrides.ts` (`applyMenuOverrides`, applied in `use-sidebar-menu.ts` after light-app injection, before role filter; disabling a node hides its whole subtree) — strict **3-level cap** (`wouldExceedDepth`). Client `strategy-components/api/menu-overrides.ts`. Backend: `/api/menu-overrides` (global/shared; open read, admin atomic replace-all). **简介模式** uses a separate overlay: every compact workspace menu item can be placed in `sidebar`（左侧菜单）、`settings`（设置和更多）or `toolbox`（右侧工具箱）; `CompactToolbox` (`components/workspace/compact-toolbox.tsx`, mounted by `PageRoutes.tsx`) opens only when the square right-edge trigger is clicked, then slides a compact, content-height right-side drawer over a backdrop above global dropdowns; configured items render top-to-bottom as centered square cards with a large icon above the label while the effective layout is compact. `/api/compact-menu-overrides` stores two independent sets (type `A` / `B`); each website picks one via `runtime-config.js` `VITE_COMPACT_MENU_TYPE`.
 - **舆情分析智能体（前端虚拟智能体）**: 智能体管理页新增「舆情分析」类型 tab，固定一张虚拟智能体卡片（名称/简介可编辑，存 localStorage）。对话页 `pages/SentimentAgentChatPage.tsx`（路由 `agents/sentiment-analysis/chats/:thread_id`）复用普通问答布局 + `MessageList`，**输入框只有发送按钮**；问答直连外部 AG-UI 网关（POST SSE），不经过 LangGraph，会话仅存 sessionStorage。接口地址 + Basic Auth 在 `runtime-config.js` 配置（`VITE_SENTIMENT_AGENT_API_URL` / `_AUTH_USERNAME` / `_AUTH_PASSWORD`），核心模块 `src/core/sentiment-agent/`。
 - **敏感词管理 (Sensitive Word Management)**: configures the **展示层脱敏映射** (原始词 → 替换词). **Gated on the username `lqq`** (not the admin role) — `getAccountDisplayName().toLowerCase() === "lqq"` (username = email `@` prefix, else `user_id`, same as the profile page); the dropdown entry, the route guard, and the page-level guard all use this check. `src/lib/desensitize.ts` ships a frozen seed map `SEED_DESENSITIZE_MAP` (the deployment seed) plus a live mutable `DESENSITIZE_MAP` (initialized from the seed so `desensitize()` works before any fetch). `DesensitizeWordsLoader` (mounted in `App.tsx` `AppProviders`) fetches `/api/sensitive-words` on startup and, if non-empty, calls `replaceDesensitizeMap(...)` to make the backend config the source of truth (empty/failed → keep seed). Page `SensitiveWordsPage.tsx` (route `/page/strategy/admin/sensitive-words`, opened from the 「敏感词管理」 item in the **bottom-left settings dropdown** of `components/page-sidebar.tsx`, present in **both** full + collapsed sidebar modes) lists/adds/edits/启停/deletes words and saves the **whole set atomically** (replace-all); a 「导入种子词」 button merges any missing `SEED_DESENSITIZE_MAP` entries into the editor. Client + hooks in `strategy-components/api/sensitive-words.ts` (`wordsToMap` folds enabled rows into the runtime map). Backend: `/api/sensitive-words` (global/shared; open read, write allowed for admin **or** the `lqq` account), mirroring 菜单管理's store shape. **侧边栏 + 导航栏 menu labels are desensitized** at the data source: `useSidebarMenuItems`/`useActiveThirdLevel` (`core/page-layout/use-sidebar-menu.ts`) map every node's `label` through a desensitizer built **directly from the `/api/sensitive-words` query** (`makeDesensitizer(wordsToMap(words))`, falling back to the global seed `desensitize` while empty) — this sidesteps the `replaceDesensitizeMap` effect-timing race. Only `label` is rewritten; `path`/`id`/`icon` are untouched so routing/highlight are unaffected. All nav surfaces (`page-sidebar.tsx`, `page-sidebar-dark.tsx`, `page-sidebar-v1.tsx`, `strategy-components/Header.tsx`, `PageRoutes.tsx`) consume this hook and are covered; `MenuManagementPage` uses the raw tree so admins still edit real labels.
 - **技能地址管理 (Skill Address Management, admin-only)**: 扫描运行中的技能（`skills/{public,custom}` 下所有 `.md`/`.py`）里的 **http(s) URL 与 IP/IP:端口**，按唯一地址聚合全部出现位置（跨 .md/.py），支持**批量替换**（如把 UAT 地址一次性改成生产）。主体抽成可复用组件 `SkillAddressesPanel`（`pages/SkillAddressesPage.tsx` 导出，默认导出 `SkillAddressesPage` 仍保留旧路由 `/page/strategy/admin/skill-addresses` 作直链回退），**作为「技能地址管理」标签页嵌入管理员「技能管理」页 `pages/AdminSkillsPage.tsx`**（该页加 Tabs：「技能列表」+「技能地址管理」；入口在「设置和更多」下拉的「技能管理」`workspace-nav-menu.tsx` → `/page/workspace/admin/skills`，不再单列于 `components/page-sidebar.tsx` 左下角设置下拉）：打开自动扫描并带**进度条**（扫描逐技能 / 应用逐文件 X/N，应对 150+ 技能），URL/IP 类型过滤 + 搜索 + 「片段批量套用」（如所有 `uat.4.cn` → `prod.4.cn`）、每地址「替换为」输入框（可展开看 `file:line` 片段）、内联**预览**、**应用**、**多关键词检索**（空格分隔全部命中），以及**修改记录**面板——每次应用生成一条记录（显示时间/改了哪些地址 from→to/文件数/处数），可**针对单次记录回退**（二次确认）。client + NDJSON 流式解析在 `strategy-components/api/skill-addresses.ts`。后端 `/api/skill-addresses`（**仅管理员**）：所有文件 IO 走 `asyncio.to_thread` 不阻塞事件循环；`GET /scan`(+`/scan/stream`)、`POST /preview`、`POST /apply`(+`/apply/stream`)、`GET /backups`、`POST /rollback/{id}`；**子串安全替换**（基于 token span，不会误伤子串）、`expected_total` 乐观锁（409）、写前自动磁盘备份到 `{skills_root}/.address-edits/`（同时写一份 `{id}.manifest.json` 记录本次替换明细，供修改记录展示）、应用后刷新技能系统提示缓存。纯引擎 `deerflow/skills/address_scan.py`，router `app/gateway/routers/skill_addresses.py`，tests `tests/test_skill_addresses.py`。范围仅运行中技能，不动 `deploy/minimal/skills/`。
diff --git a/frontend-web/src/components/workspace/agents/agent-detail-panel.tsx b/frontend-web/src/components/workspace/agents/agent-detail-panel.tsx
index c94fa96d..bf3e3751 100644
--- a/frontend-web/src/components/workspace/agents/agent-detail-panel.tsx
+++ b/frontend-web/src/components/workspace/agents/agent-detail-panel.tsx
@@ -237,9 +237,10 @@ export function AgentDetailPanel({
 
   const isSaving = updateAgent.isPending || setFeatured.isPending;
 
-  // 对话生成文件（md/txt 等 artifact）并在右侧展开预览时，自动收起智能体
-  // 信息面板给预览让位；切换到新文件时同样收起。编辑中不打断用户，用户随时
-  // 可手动重新展开。
+  // 对话生成文件（md/txt 等 artifact）并首次展开预览时，自动收起智能体
+  // 信息面板给预览让位。目录内切换文件不能再次改写用户的手动选择：否则用户
+  // 刚展开智能体信息，点另一个文件时面板又会突然收起，看起来就像收起按钮被
+  // 移除了。编辑中也不打断用户。
   //
   // 关键：判定用 open + selectedArtifact，而非 artifacts.length。流式写文件时
   // message-group 一开始就调用 select()+setOpen(true) 打开预览并选中该文件，但
@@ -251,17 +252,13 @@ export function AgentDetailPanel({
   const artifactPanelVisible =
     !!artifactsCtx?.open && (!!selectedArtifact || artifactCount > 0);
   const prevArtifactPanelVisible = useRef(false);
-  const prevSelectedArtifact = useRef<string | null>(null);
   useEffect(() => {
     const opened = artifactPanelVisible && !prevArtifactPanelVisible.current;
-    const switched =
-      artifactPanelVisible && selectedArtifact !== prevSelectedArtifact.current;
     prevArtifactPanelVisible.current = artifactPanelVisible;
-    prevSelectedArtifact.current = selectedArtifact;
-    if ((opened || switched) && !editing) {
+    if (opened && !editing) {
       setCollapsed(true);
     }
-  }, [artifactPanelVisible, selectedArtifact, editing]);
+  }, [artifactPanelVisible, editing]);
 
   const displayName = desensitize(agent?.name ?? agentName);
   const questions = useMemo(
@@ -929,14 +926,16 @@ export function AgentDetailPanel({
 
   const panelChrome = (collapseButton: ReactNode) => (
     <>
-      <div className="flex h-12 shrink-0 items-center justify-between border-b px-4">
-        <span className="shrink-0 whitespace-nowrap text-sm font-semibold">
+      <div className="flex h-12 shrink-0 items-center gap-2 border-b px-4">
+        <span className="min-w-0 flex-1 truncate whitespace-nowrap text-sm font-semibold">
           {panelTitle ?? "智能体信息"}
         </span>
-        <div className="flex min-w-0 items-center gap-1">
-          {headerActions}
-          {compactAppearanceActions}
-          {collapseButton}
+        <div className="flex min-w-0 items-center justify-end gap-1">
+          <div className="flex min-w-0 items-center justify-end gap-1 overflow-hidden">
+            {headerActions}
+            {compactAppearanceActions}
+          </div>
+          {collapseButton && <div className="shrink-0">{collapseButton}</div>}
         </div>
       </div>
       <div className="min-h-0 flex-1 overflow-y-auto">{body}</div>
@@ -954,12 +953,13 @@ export function AgentDetailPanel({
         <div className="hidden shrink-0 items-start border-l px-2 pt-3 lg:flex">
           <div className="flex items-center gap-1">
             {compactAppearanceActions}
-            <Tooltip content="智能体信息">
+            <Tooltip content="展开智能体信息">
               <Button
                 variant="ghost"
                 size="icon-sm"
                 onClick={() => setCollapsed(false)}
                 aria-label="展开智能体信息"
+                aria-expanded={false}
               >
                 <PanelRightOpenIcon className="size-4" />
               </Button>
@@ -975,6 +975,7 @@ export function AgentDetailPanel({
                 size="icon-sm"
                 onClick={() => setCollapsed(true)}
                 aria-label="收起智能体信息"
+                aria-expanded={true}
               >
                 <PanelRightCloseIcon className="size-4" />
               </Button>
diff --git a/frontend-web/src/components/workspace/artifacts/artifact-file-detail.tsx b/frontend-web/src/components/workspace/artifacts/artifact-file-detail.tsx
index 0d952f12..cbaf254b 100644
--- a/frontend-web/src/components/workspace/artifacts/artifact-file-detail.tsx
+++ b/frontend-web/src/components/workspace/artifacts/artifact-file-detail.tsx
@@ -1432,7 +1432,7 @@ export function ArtifactFileDetail({
 
   return (
     <Artifact className={cn(className)}>
-      <ArtifactHeader className="flex flex-wrap items-center gap-3 px-4 py-3">
+      <ArtifactHeader className="relative flex flex-wrap items-center gap-3 px-4 py-3 pr-14">
         <div className="flex min-w-0 items-center gap-2">
           <div
             className={cn(
@@ -1526,8 +1526,8 @@ export function ArtifactFileDetail({
             </div>
           )}
         </div>
-        <div className="flex w-full items-center justify-end gap-2 md:ml-auto md:w-auto">
-          <ArtifactActions className="bg-muted/45 max-w-full flex-wrap justify-end rounded-3xl border border-black/6 p-1 dark:border-white/8">
+        <div className="flex min-w-0 w-full items-center justify-end gap-2 md:ml-auto md:w-auto">
+          <ArtifactActions className="bg-muted/45 min-w-0 max-w-full flex-wrap justify-end rounded-3xl border border-black/6 p-1 dark:border-white/8">
             {canPublishToKnowledge && (
               <ArtifactAction
                 icon={isPublishingToKnowledge ? LoaderIcon : UploadCloudIcon}
@@ -1655,16 +1655,18 @@ export function ArtifactFileDetail({
                 }
               }}
             />
-            <ArtifactAction
-              className="hover:bg-background"
-              icon={XIcon}
-              label={t.common.close}
-              onClick={() => (onClose ? onClose() : setOpen(false))}
-              tooltip={t.common.close}
-            />
-          </ArtifactActions>
-        </div>
-      </ArtifactHeader>
+          </ArtifactActions>
+        </div>
+        {/* 文件目录会压缩详情区宽度。关闭入口固定在右上角，不再跟随可换行的
+            动作组，避免工具较多或面板较窄时最右侧按钮被裁掉。 */}
+        <ArtifactAction
+          className="bg-background/90 hover:bg-accent absolute top-3 right-3 z-10 border shadow-sm"
+          icon={XIcon}
+          label="收起文件面板"
+          onClick={() => (onClose ? onClose() : setOpen(false))}
+          tooltip="收起文件面板"
+        />
+      </ArtifactHeader>
       <ArtifactContent
         ref={artifactContentRef}
         className="relative p-0"
diff --git a/frontend-web/src/components/workspace/compact-toolbox.tsx b/frontend-web/src/components/workspace/compact-toolbox.tsx
new file mode 100644
index 00000000..2a3cce12
--- /dev/null
+++ b/frontend-web/src/components/workspace/compact-toolbox.tsx
@@ -0,0 +1,162 @@
+"use client";
+
+import { Wrench, X } from "lucide-react";
+import { useEffect, useRef, useState } from "react";
+import { useLocation, useNavigate } from "react-router-dom";
+
+import { cn } from "@/lib/utils";
+
+import { useWorkspaceCompactNavItems } from "./workspace-nav-chat-list";
+
+const TOOLBOX_ICON_TONES = [
+  "bg-blue-500/12 text-blue-600 dark:text-blue-400",
+  "bg-violet-500/12 text-violet-600 dark:text-violet-400",
+  "bg-emerald-500/12 text-emerald-600 dark:text-emerald-400",
+  "bg-amber-500/14 text-amber-600 dark:text-amber-400",
+] as const;
+
+/**
+ * 简洁模式右侧工具箱。
+ *
+ * 菜单来源与左侧简洁菜单、设置和更多完全一致，由管理员在菜单管理中把项目
+ * 放到 ``toolbox`` 泳道。点击右侧竖排按钮后展开单列竖向抽屉。
+ */
+export function CompactToolbox() {
+  const { toolboxItems } = useWorkspaceCompactNavItems();
+  const { pathname } = useLocation();
+  const navigate = useNavigate();
+  const [open, setOpen] = useState(false);
+  const triggerRef = useRef<HTMLButtonElement>(null);
+  const closeRef = useRef<HTMLButtonElement>(null);
+
+  useEffect(() => setOpen(false), [pathname]);
+  useEffect(() => {
+    if (!open) return;
+
+    const handleKeyDown = (event: KeyboardEvent) => {
+      if (event.key === "Escape") {
+        setOpen(false);
+        triggerRef.current?.focus();
+      }
+    };
+
+    document.addEventListener("keydown", handleKeyDown);
+    closeRef.current?.focus();
+    return () => {
+      document.removeEventListener("keydown", handleKeyDown);
+    };
+  }, [open]);
+
+  if (toolboxItems.length === 0) return null;
+
+  const closeDrawer = () => {
+    setOpen(false);
+    requestAnimationFrame(() => triggerRef.current?.focus());
+  };
+
+  return (
+    <>
+      <button
+        ref={triggerRef}
+        type="button"
+        aria-label="打开工具箱"
+        aria-controls="compact-toolbox-panel"
+        aria-expanded={open}
+        title="打开工具箱"
+        onClick={() => setOpen(true)}
+        className={cn(
+          "fixed right-0 top-1/2 z-[80] flex size-16 -translate-y-1/2 flex-col items-center justify-center gap-1 rounded-l-2xl border border-r-0 border-primary/25 bg-primary text-primary-foreground shadow-xl transition-[transform,opacity,background-color] duration-200 hover:bg-primary/90 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2",
+          open && "pointer-events-none translate-x-full opacity-0",
+        )}
+      >
+        <Wrench className="size-6 shrink-0" />
+        <span className="text-xs font-semibold leading-4">工具箱</span>
+      </button>
+
+      <button
+        type="button"
+        tabIndex={-1}
+        aria-label="关闭工具箱抽屉"
+        aria-hidden={!open}
+        onClick={closeDrawer}
+        className={cn(
+          "fixed inset-0 z-[90] bg-black/20 transition-opacity duration-200",
+          open ? "pointer-events-auto opacity-100" : "pointer-events-none opacity-0",
+        )}
+      />
+
+      <aside
+        id="compact-toolbox-panel"
+        role="dialog"
+        aria-modal={open}
+        aria-label="工具箱"
+        aria-hidden={!open}
+        inert={!open}
+        className={cn(
+          "fixed right-0 top-1/2 z-[100] flex max-h-[calc(100vh-32px)] w-32 max-w-[calc(100vw-48px)] -translate-y-1/2 flex-col overflow-hidden rounded-l-2xl bg-background text-foreground shadow-2xl transition-transform duration-300 ease-out",
+          open
+            ? "pointer-events-auto translate-x-0"
+            : "pointer-events-none translate-x-full",
+        )}
+      >
+        <header className="relative flex h-12 shrink-0 items-center justify-center px-2">
+          <h2 className="text-sm font-semibold">工具箱</h2>
+          <button
+            ref={closeRef}
+            type="button"
+            aria-label="关闭工具箱"
+            title="关闭"
+            onClick={closeDrawer}
+            className="absolute right-2 flex size-7 shrink-0 items-center justify-center rounded-lg text-muted-foreground transition-colors hover:bg-muted hover:text-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring"
+          >
+            <X className="size-4" />
+          </button>
+        </header>
+
+        <nav
+          aria-label="工具箱菜单"
+          className="flex min-h-0 flex-col items-center gap-2.5 overflow-y-auto bg-muted/20 p-2"
+        >
+          {toolboxItems.map((item, index) => {
+            const Icon = item.icon;
+            const active = item.match(pathname);
+            return (
+              <button
+                key={item.id}
+                type="button"
+                aria-current={active ? "page" : undefined}
+                className={cn(
+                  "group flex h-24 w-24 aspect-square shrink-0 flex-col items-center justify-center gap-1.5 rounded-xl p-2 text-center transition-[color,background-color,transform] hover:-translate-y-0.5 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring",
+                  active
+                    ? "bg-primary/12 text-primary ring-1 ring-inset ring-primary/25"
+                    : "bg-muted/55 text-card-foreground hover:bg-primary/8 hover:text-primary",
+                )}
+                onClick={() => {
+                  setOpen(false);
+                  navigate(item.path ?? "/page/workspace/chats/new");
+                }}
+              >
+                <span
+                  className={cn(
+                    "flex size-10 shrink-0 items-center justify-center rounded-xl transition-transform group-hover:scale-105",
+                    active
+                      ? "bg-primary text-primary-foreground"
+                      : TOOLBOX_ICON_TONES[index % TOOLBOX_ICON_TONES.length],
+                  )}
+                >
+                  <Icon className="size-6" strokeWidth={1.8} />
+                </span>
+                <span
+                  className="line-clamp-2 w-full text-center text-xs font-medium leading-4"
+                  title={item.label}
+                >
+                  {item.label}
+                </span>
+              </button>
+            );
+          })}
+        </nav>
+      </aside>
+    </>
+  );
+}
diff --git a/frontend-web/src/components/workspace/workspace-nav-chat-list.tsx b/frontend-web/src/components/workspace/workspace-nav-chat-list.tsx
index a8e483aa..d3a26b04 100644
--- a/frontend-web/src/components/workspace/workspace-nav-chat-list.tsx
+++ b/frontend-web/src/components/workspace/workspace-nav-chat-list.tsx
@@ -135,6 +135,7 @@ export type EffectiveWorkspaceCompactNavItem = CompactMenuItem & WorkspaceCompac
 export function useWorkspaceCompactNavItems(): {
   sidebarItems: EffectiveWorkspaceCompactNavItem[];
   settingsItems: EffectiveWorkspaceCompactNavItem[];
+  toolboxItems: EffectiveWorkspaceCompactNavItem[];
 } {
   const { data: overrides = [] } = useCompactMenuOverrides();
   return useMemo(() => {
@@ -142,6 +143,7 @@ export function useWorkspaceCompactNavItems(): {
     return {
       sidebarItems: applied.sidebarItems as EffectiveWorkspaceCompactNavItem[],
       settingsItems: applied.settingsItems as EffectiveWorkspaceCompactNavItem[],
+      toolboxItems: applied.toolboxItems as EffectiveWorkspaceCompactNavItem[],
     };
   }, [overrides]);
 }
diff --git a/frontend-web/src/core/page-layout/compact-menu-overrides.test.ts b/frontend-web/src/core/page-layout/compact-menu-overrides.test.ts
index c67df41c..c325b252 100644
--- a/frontend-web/src/core/page-layout/compact-menu-overrides.test.ts
+++ b/frontend-web/src/core/page-layout/compact-menu-overrides.test.ts
@@ -18,13 +18,15 @@ test("normalizeCompactMenuType defaults to A", () => {
   assert.equal(isDefaultCompactMenuType("B"), false);
 });
 
-test("applyCompactMenuOverrides splits sidebar vs settings", () => {
+test("applyCompactMenuOverrides splits sidebar, settings, and toolbox", () => {
   const items: MenuItem[] = [
     { id: "a", label: "对话", icon: I, path: "/a" },
     { id: "b", label: "智能体", icon: I, path: "/b" },
+    { id: "c", label: "技能", icon: I, path: "/c" },
   ];
   const applied = applyCompactMenuOverrides(items, [
     { nodeId: "b", placement: "settings", sortOrder: 0, label: "智能体设置" },
+    { nodeId: "c", placement: "toolbox", sortOrder: 0, label: "技能工具" },
   ]);
   assert.deepEqual(
     applied.sidebarItems.map((item) => item.id),
@@ -32,4 +34,6 @@ test("applyCompactMenuOverrides splits sidebar vs settings", () => {
   );
   assert.equal(applied.settingsItems[0]?.id, "b");
   assert.equal(applied.settingsItems[0]?.label, "智能体设置");
+  assert.equal(applied.toolboxItems[0]?.id, "c");
+  assert.equal(applied.toolboxItems[0]?.label, "技能工具");
 });
diff --git a/frontend-web/src/core/page-layout/compact-menu-overrides.ts b/frontend-web/src/core/page-layout/compact-menu-overrides.ts
index 30cc4869..020373c6 100644
--- a/frontend-web/src/core/page-layout/compact-menu-overrides.ts
+++ b/frontend-web/src/core/page-layout/compact-menu-overrides.ts
@@ -1,7 +1,7 @@
 import type { MenuItem } from "./sidebar-menu";
 import { readRuntimeEnv } from "@/env";
 
-export type CompactMenuPlacement = "sidebar" | "settings";
+export type CompactMenuPlacement = "sidebar" | "settings" | "toolbox";
 
 export const COMPACT_MENU_TYPES = ["A", "B"] as const;
 export type CompactMenuType = (typeof COMPACT_MENU_TYPES)[number];
@@ -64,7 +64,11 @@ function isNavigable(item: MenuItem): boolean {
 export function applyCompactMenuOverrides(
   items: MenuItem[],
   overrides: CompactMenuOverride[],
-): { sidebarItems: CompactMenuItem[]; settingsItems: CompactMenuItem[] } {
+): {
+  sidebarItems: CompactMenuItem[];
+  settingsItems: CompactMenuItem[];
+  toolboxItems: CompactMenuItem[];
+} {
   const byId = new Map(overrides.map((override) => [override.nodeId, override]));
   const enhanced = items.filter(isNavigable).map((item, index) => {
     const override = byId.get(item.id);
@@ -82,6 +86,7 @@ export function applyCompactMenuOverrides(
   return {
     sidebarItems: sortItems(enhanced.filter((item) => item.compactPlacement === "sidebar")),
     settingsItems: sortItems(enhanced.filter((item) => item.compactPlacement === "settings")),
+    toolboxItems: sortItems(enhanced.filter((item) => item.compactPlacement === "toolbox")),
   };
 }
 
diff --git a/frontend-web/src/pages/AgentChatPage.tsx b/frontend-web/src/pages/AgentChatPage.tsx
index 4487813a..f57b6b52 100644
--- a/frontend-web/src/pages/AgentChatPage.tsx
+++ b/frontend-web/src/pages/AgentChatPage.tsx
@@ -810,7 +810,7 @@ export default function AgentChatPage({
           agentName={agentDisplayName}
           disabled={thread.isLoading || isDemoMode}
           onAskQuestion={(text) => handleSubmit({ text, files: [] })}
-          defaultCollapsed={taskCtxOn}
+          defaultCollapsed
           showRecentChats={!taskCtxOn}
           compactAppearanceActions={compactAppearanceActions}
         />
diff --git a/frontend-web/src/pages/MenuManagementPage.tsx b/frontend-web/src/pages/MenuManagementPage.tsx
index 63907982..dc55ee87 100644
--- a/frontend-web/src/pages/MenuManagementPage.tsx
+++ b/frontend-web/src/pages/MenuManagementPage.tsx
@@ -261,12 +261,17 @@ function compactRowsFromTree(tree: MenuItem[], overrides: CompactMenuOverride[])
 }
 
 function normalizeCompactRows(rows: CompactRow[]): CompactRow[] {
+  const placementOrder: Record<CompactMenuPlacement, number> = {
+    sidebar: 0,
+    settings: 1,
+    toolbox: 2,
+  };
   return rows
     .slice()
     .sort(
       (a, b) =>
         a.topIndex - b.topIndex ||
-        Number(a.placement === "settings") - Number(b.placement === "settings") ||
+        placementOrder[a.placement] - placementOrder[b.placement] ||
         a.order - b.order ||
         a.id.localeCompare(b.id),
     );
@@ -1091,7 +1096,7 @@ function CompactMenuManagementPanel({ baseTree }: { baseTree: MenuItem[] }) {
           <p className="flex max-w-2xl items-start gap-2.5 rounded-2xl border border-slate-200/50 bg-slate-50/70 p-3.5 text-sm leading-relaxed text-slate-600">
             <Info className="mt-0.5 size-4 shrink-0 text-slate-400" />
             <span>
-              这里配置的是简洁模式工作区左侧菜单，保存后仅对当前网页使用的
+              这里配置简洁模式菜单在左侧菜单、设置和更多、右侧工具箱之间的分布，保存后仅对当前网页使用的
               {COMPACT_MENU_TYPE_LABELS[runtimeType]}生效（两套部署各改各的）；全量模式菜单不受影响。
             </span>
           </p>
@@ -1132,6 +1137,7 @@ function CompactMenuManagementPanel({ baseTree }: { baseTree: MenuItem[] }) {
                         <SelectContent>
                           <SelectItem value="sidebar">左侧菜单</SelectItem>
                           <SelectItem value="settings">设置和更多</SelectItem>
+                          <SelectItem value="toolbox">右侧工具箱</SelectItem>
                         </SelectContent>
                       </Select>
                       <div className="flex justify-end gap-1.5">
diff --git a/frontend-web/src/pages/PageRoutes.tsx b/frontend-web/src/pages/PageRoutes.tsx
index e6374f72..3901e75a 100644
--- a/frontend-web/src/pages/PageRoutes.tsx
+++ b/frontend-web/src/pages/PageRoutes.tsx
@@ -3,6 +3,7 @@ import { Navigate, Route, Routes } from "react-router-dom";
 
 import { PageSidebar } from "@/components/page-sidebar";
 import { PageSidebarDark } from "@/components/page-sidebar-dark";
+import { CompactToolbox } from "@/components/workspace/compact-toolbox";
 import { isChatsIframeWorkspacePath } from "@/core/page-layout/chats-iframe-route";
 import { readSidebarEnabled } from "@/core/page-layout/sidebar-enabled";
 import { isWujieEnv } from "@/core/embed/wujie";
@@ -102,12 +103,19 @@ function PageLayout() {
     !embedActive &&
     // `?hideChrome=1` 显式去 chrome：优先级高于上面对 dashboard-agent 的强制全局 chrome。
     !chromeHidden;
+  const compactToolboxAllowed =
+    !chromeByPreference &&
+    !forceChromeForDashboardAgent &&
+    !embedActive &&
+    !chromeHidden &&
+    !isChatsIframeWorkspacePath(location.pathname);
 
   // h-full(100%)而非 h-screen(100vh):配合 globals.css 的 html/body/#root height:100%
   // 高度链,根布局跟随容器高度。全屏下 100% 解析到视口,与 h-screen 等价;无界等嵌套
   // 下容器不占满整屏时,高度才能正确收缩而非锁死整屏。
   return (
     <RoundtableJobNotifier>
+    {compactToolboxAllowed && <CompactToolbox />}
     <div className="h-full flex flex-col bg-muted/20">
       {pageSidebarAllowed && !headerHidden && <Header collapsed={collapsed} />}
       <div className="flex flex-1 overflow-hidden">
diff --git a/frontend-web/src/strategy-components/api/compact-menu-overrides.ts b/frontend-web/src/strategy-components/api/compact-menu-overrides.ts
index dfa8dd43..9b6bbc45 100644
--- a/frontend-web/src/strategy-components/api/compact-menu-overrides.ts
+++ b/frontend-web/src/strategy-components/api/compact-menu-overrides.ts
@@ -14,16 +14,20 @@ const BASE = () => `${getBackendBaseURL()}/api/compact-menu-overrides`;
 
 interface ServerCompactOverride {
   node_id: string;
-  placement: "sidebar" | "settings";
+  placement: "sidebar" | "settings" | "toolbox";
   sort_order: number;
   label: string | null;
   menu_type?: string | null;
 }
 
 function toOverride(s: ServerCompactOverride): CompactMenuOverride {
+  const placement =
+    s.placement === "settings" || s.placement === "toolbox"
+      ? s.placement
+      : "sidebar";
   return {
     nodeId: s.node_id,
-    placement: s.placement === "settings" ? "settings" : "sidebar",
+    placement,
     sortOrder: s.sort_order ?? 0,
     label: s.label ?? null,
   };
@@ -96,8 +100,11 @@ export function useCompactMenuOverrides(menuType?: CompactMenuType) {
   return useQuery({
     queryKey: [COMPACT_MENU_OVERRIDES_KEY, type],
     queryFn: () => listCompactMenuOverrides(type),
-    refetchOnWindowFocus: false,
-    staleTime: 60_000,
+    // 菜单管理常在另一个标签页操作。简洁模式页面重新挂载或获得焦点时必须
+    // 立即读取最新配置，否则新放入右侧工具箱的项目会被旧缓存隐藏一分钟。
+    refetchOnMount: "always",
+    refetchOnWindowFocus: "always",
+    staleTime: 0,
   });
 }
 
diff --git a/offline-backend-20260512/backend/CLAUDE.md b/offline-backend-20260512/backend/CLAUDE.md
index 2d0b1f23..439b41e9 100644
--- a/offline-backend-20260512/backend/CLAUDE.md
+++ b/offline-backend-20260512/backend/CLAUDE.md
@@ -1024,10 +1024,14 @@ Both can be modified at runtime via Gateway API endpoints or `DeerFlowClient` me
 
 The embedded detail proxy hides WeKnora's outer `.main > .aside_box` application sidebar and expands the route outlet, but deliberately keeps the Wiki page's internal directory/index sidebar. Do not add an HTML `sandbox` attribute to this trusted, permission-filtered detail iframe: a sandboxed ancestor causes Chromium's built-in Blob PDF viewer to render the browser-blocked page. The Gateway follows upstream redirects only for `/knowledge/{id}/preview` and `/knowledge-bases/{id}/files`, keeping PDF bytes and protected Wiki images inside the signed proxy instead of sending the browser to WeKnora object storage.
 Native/private and public Wiki readers must rewrite protected Markdown image
-sources to their mapping-scoped DeerFlow `/files?file_path=` endpoints and load
-them as Blob URLs. The embedded guard also rewrites protected fetch/XHR values
-and hydrates late `img[data-protected-src]` placeholders; never expose the
-service token or relax the current-KB authorization to make images work.
+sources to their mapping-scoped DeerFlow `/files?file_path=` endpoints and keep
+real HTTP URLs on rendered image elements. The embedded guard also rewrites
+protected fetch/XHR values and hydrates late `img[data-protected-src]`
+placeholders with the signed iframe HTTP proxy URL. Observe both
+`data-protected-src` and `src`, because WeKnora may replace the URL after first
+paint. Never create/revoke a temporary object URL here: its lightbox reuses the
+thumbnail `src` after click. Never expose the service token or relax the
+current-KB authorization to make images work.
 
 **Embedded native knowledge-base switching:** The original WeKnora breadcrumb picker remains available inside the detail iframe. A signed 15-minute embed cookie carries only the current DeerFlow user's visible mappings (their own plus published bases); the proxied `/api/v1/knowledge-bases` response is filtered to that allowlist. Choosing another entry performs a full iframe navigation, rechecks the DeerFlow mapping and read/write permission, then reissues the cookie for the selected base. Never expose the upstream service-admin list directly or permit an arbitrary remote knowledge-base ID.
 
@@ -1509,7 +1513,10 @@ authenticated readers obtain a short-lived signed capability from
 `/files/access-url` and load `/api/public/llmwiki/files/{token}`. The signed
 payload is restricted to `kind=wiki_file`, mapping id, remote id, validated
 protected path, and expiry, and responses provide an inline UTF-8 filename for
-new-tab viewing and browser Save As.
+new-tab viewing and browser Save As. The proxied WeKnora detail iframe must
+likewise leave its scoped HTTP file-proxy URL on every protected image and
+restore it if upstream rendering replaces `src`; its click preview reads that
+same DOM value, so a fetched-and-revoked object URL is not acceptable.
 
 Third-party pages embed published Wiki content through the chrome-free route
 `/#/embed/knowledge/{mapping_id}` (optional exact-page `wikiSlug`). It defaults
@@ -1558,11 +1565,26 @@ Internal search authorization always starts from DeerFlow mapping ids and is
 rechecked by the Gateway. External endpoints use the isolated
 `/api/external/llmwiki/wiki` namespace and `X-API-Key`; require published +
 external-enabled + index-enabled on every request and response, and hard-deny
-the `system` / `对话沉淀` mapping. Never return remote WeKnora ids, provenance
-refs, credentials, or vector bytes externally. Regression tests:
+the `system` / `对话沉淀` mapping. Those API-key endpoints never return remote
+WeKnora ids, provenance refs, credentials, or vector bytes.
+
+`POST /api/knowledge/vector-search` is a deliberately separate anonymous API.
+It has no token/API-key requirement or rate limit, applies route-scoped
+`Access-Control-Allow-Origin: *`, searches every published local Wiki index
+regardless of `external_search_enabled`, and still hard-denies the `system` /
+`对话沉淀` mapping before and after search. Its contract is section-level (one
+result per matched vector, so Wiki-page fields and URLs may repeat), default
+`top_k=10`, with optional `include_page_content`. Unlike the protected legacy
+external namespace, this endpoint intentionally returns DeerFlow/WeKnora ids
+and raw source/chunk provenance, but never credentials or vector bytes. Wiki
+links use `llmwiki.local_wiki_index.frontend_base_url` (development default
+`http://127.0.0.1:5174`) and point to the native
+`/#/page/workspace/knowledge/{mapping_id}/wiki/view?wikiSlug=...` route.
+Regression tests:
 `tests/test_llmwiki_local_index_repository.py`,
 `tests/test_llmwiki_wiki_sync.py`, `tests/test_llmwiki_vector_search.py`,
-`tests/test_external_llmwiki_search.py`, and
+`tests/test_external_llmwiki_search.py`,
+`tests/test_public_knowledge_vector_search.py`, and
 `tests/test_llmwiki_wiki_retrieval.py`.
 
 The sandbox whole-report rewrite may carry an optional `reportOutline` Markdown
diff --git a/offline-backend-20260512/backend/README.md b/offline-backend-20260512/backend/README.md
index a83468ed..ba042b73 100644
--- a/offline-backend-20260512/backend/README.md
+++ b/offline-backend-20260512/backend/README.md
@@ -837,7 +837,10 @@ URLs. Public images use the published file proxy directly; private images first
 obtain a 24-hour signed capability and then load through
 `GET /api/public/llmwiki/files/{token}` with a real HTTP URL and inline
 filename, allowing zoom, new-tab viewing, and browser Save As without exposing
-the user's bearer token.
+the user's bearer token. The embedded WeKnora detail page follows the same
+rule: late `img[data-protected-src]` placeholders keep their scoped HTTP proxy
+URL on the DOM node, so WeKnora's click-to-enlarge viewer never receives an
+already-revoked `blob:` URL.
 
 ## Leaderboard query and schema startup safety
 
@@ -894,6 +897,21 @@ Authenticated operations are available below `/api/llmwiki/wiki-index` and
 `/api/external/llmwiki/wiki` require `X-API-Key`, are rate-limited, and only
 expose mappings that are both internally published and explicitly marked
 `external_search_enabled`; the system `对话沉淀` mapping is always denied.
+
+A separate browser-friendly endpoint, `POST /api/knowledge/vector-search`, is
+fully anonymous: it requires neither a DeerFlow token nor `X-API-Key`, has no
+rate limit, and responds with `Access-Control-Allow-Origin: *`. It searches the
+local vectors of every published knowledge base regardless of
+`external_search_enabled`, while still excluding the system `对话沉淀` base.
+The minimal request is `{"query":"如何部署"}`; optional fields are `top_k`
+(default `10`, maximum `100`) and `include_page_content` (default `false`). Each
+matched vector section is returned as its own ranked result, including the
+matched text, score, DeerFlow and WeKnora knowledge/Wiki ids, page metadata,
+raw source/chunk references, best-effort document/chunk ids, and a directly
+usable `wiki_url`. Set `llmwiki.local_wiki_index.frontend_base_url` to the
+deployed frontend origin/base path; its development default is
+`http://127.0.0.1:5174`.
+
 See `docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md` for configuration,
 security boundaries, rollout, and API contracts.
 
diff --git a/offline-backend-20260512/backend/app/gateway/app.py b/offline-backend-20260512/backend/app/gateway/app.py
index a37b031f..8153a20f 100644
--- a/offline-backend-20260512/backend/app/gateway/app.py
+++ b/offline-backend-20260512/backend/app/gateway/app.py
@@ -24,8 +24,9 @@ from app.gateway.auth.disabled_mode import is_auth_disabled  # noqa: E402
 from app.gateway.auth_middleware import AuthMiddleware
 from app.gateway.config import get_gateway_config
 from app.gateway.csrf_middleware import CSRFMiddleware
-from app.gateway.deps import langgraph_runtime
-from app.gateway.routers import (
+from app.gateway.deps import langgraph_runtime
+from app.gateway.public_knowledge_cors import PublicKnowledgeCORSMiddleware
+from app.gateway.routers import (
     ai_writing,
     admin_active_runs,
     admin_users,
@@ -66,8 +67,9 @@ from app.gateway.routers import (
     positions,
     position_roles,
     public_config,
-    public_embed,
-    public_leaderboard,
+    public_embed,
+    public_knowledge_vector_search,
+    public_leaderboard,
     public_scheduled_tasks,
     recommend,
     flow_extract,
@@ -1473,11 +1475,16 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
             "Set GATEWAY_CORS_ORIGINS or GATEWAY_CORS_ALLOW_ALL for deployment.",
             ", ".join(dev_origins),
         )
-        app.add_middleware(
-            CORSMiddleware,
-            allow_origins=dev_origins,
-            **cors_kwargs,
-        )
+        app.add_middleware(
+            CORSMiddleware,
+            allow_origins=dev_origins,
+            **cors_kwargs,
+        )
+
+    # This one anonymous API is intentionally callable by browser code from
+    # every origin. Keep the override route-scoped so authenticated APIs retain
+    # the deployment's normal CORS allow-list.
+    app.add_middleware(PublicKnowledgeCORSMiddleware)
 
     # Include routers
     # Models API is mounted at /api/models
@@ -1626,8 +1633,11 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
     app.include_router(public_config.router)
     app.include_router(html_page_favorites.router)
 
-    # Product knowledge base API is mounted at /api/knowledge
-    app.include_router(knowledge.router)
+    # Product knowledge base API is mounted at /api/knowledge
+    app.include_router(knowledge.router)
+    # Anonymous, section-level vector search over every published Wiki base
+    # except the system conversation-deposit base.
+    app.include_router(public_knowledge_vector_search.router)
 
     # External knowledge ingest (publish md artifacts) at /api/knowledge-ingest
     app.include_router(knowledge_ingest.router)
diff --git a/offline-backend-20260512/backend/app/gateway/auth_middleware.py b/offline-backend-20260512/backend/app/gateway/auth_middleware.py
index 604824de..eabd9bf5 100644
--- a/offline-backend-20260512/backend/app/gateway/auth_middleware.py
+++ b/offline-backend-20260512/backend/app/gateway/auth_middleware.py
@@ -68,9 +68,11 @@ _PUBLIC_EXACT_PATHS: frozenset[str] = frozenset(
         "/api/v1/auth/login/token",
         "/api/v1/auth/register",
         "/api/v1/auth/logout",
-        "/api/v1/auth/setup-status",
-        "/api/v1/auth/initialize",
-        # 并行多智能体面板专用的「绕过常规登录」取 token 端点（内网部署限制了标准登录时用）。
+        "/api/v1/auth/setup-status",
+        "/api/v1/auth/initialize",
+        # Anonymous vector search over published local Wiki indexes.
+        "/api/knowledge/vector-search",
+        # 并行多智能体面板专用的「绕过常规登录」取 token 端点（内网部署限制了标准登录时用）。
         "/api/parallel-agents/auth/token",
     }
 )
diff --git a/offline-backend-20260512/backend/app/gateway/csrf_middleware.py b/offline-backend-20260512/backend/app/gateway/csrf_middleware.py
index 433f9dfb..8aec22a3 100644
--- a/offline-backend-20260512/backend/app/gateway/csrf_middleware.py
+++ b/offline-backend-20260512/backend/app/gateway/csrf_middleware.py
@@ -48,8 +48,10 @@ def should_check_csrf(request: Request) -> bool:
     path = app_relative_path(request)
     stripped = path.rstrip("/")
     # Exempt /api/v1/auth/me endpoint
-    if stripped == "/api/v1/auth/me":
-        return False
+    if stripped == "/api/v1/auth/me":
+        return False
+    if stripped == "/api/knowledge/vector-search":
+        return False
     # Anonymous public endpoints (mirror auth_middleware._PUBLIC_PATH_PREFIXES).
     # These intentionally have no cookie session, so the Double-Submit Cookie
     # pattern is both impossible (no token to compare) and unnecessary (no
diff --git a/offline-backend-20260512/backend/app/gateway/public_knowledge_cors.py b/offline-backend-20260512/backend/app/gateway/public_knowledge_cors.py
new file mode 100644
index 00000000..7b5e6c84
--- /dev/null
+++ b/offline-backend-20260512/backend/app/gateway/public_knowledge_cors.py
@@ -0,0 +1,49 @@
+"""Route-scoped permissive CORS for the anonymous knowledge vector API."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+
+from fastapi import Request, Response
+from starlette.middleware.base import BaseHTTPMiddleware
+from starlette.types import ASGIApp
+
+from app.gateway.proxy_path import app_relative_path
+
+PUBLIC_KNOWLEDGE_VECTOR_SEARCH_PATH = "/api/knowledge/vector-search"
+
+
+def is_public_knowledge_vector_search(request: Request) -> bool:
+    return app_relative_path(request).rstrip("/") == PUBLIC_KNOWLEDGE_VECTOR_SEARCH_PATH
+
+
+def _apply_public_cors(response: Response) -> Response:
+    response.headers["Access-Control-Allow-Origin"] = "*"
+    response.headers["Access-Control-Allow-Methods"] = "POST, OPTIONS"
+    response.headers["Access-Control-Allow-Headers"] = "*"
+    response.headers["Access-Control-Allow-Private-Network"] = "true"
+    response.headers["Access-Control-Max-Age"] = "600"
+    if "Access-Control-Allow-Credentials" in response.headers:
+        del response.headers["Access-Control-Allow-Credentials"]
+    return response
+
+
+class PublicKnowledgeCORSMiddleware(BaseHTTPMiddleware):
+    """Allow every browser origin for one credential-free public route only."""
+
+    def __init__(self, app: ASGIApp) -> None:
+        super().__init__(app)
+
+    async def dispatch(self, request: Request, call_next: Callable) -> Response:
+        if not is_public_knowledge_vector_search(request):
+            return await call_next(request)
+        if request.method.upper() == "OPTIONS":
+            return _apply_public_cors(Response(status_code=204))
+        return _apply_public_cors(await call_next(request))
+
+
+__all__ = [
+    "PUBLIC_KNOWLEDGE_VECTOR_SEARCH_PATH",
+    "PublicKnowledgeCORSMiddleware",
+    "is_public_knowledge_vector_search",
+]
diff --git a/offline-backend-20260512/backend/app/gateway/routers/compact_menu_overrides.py b/offline-backend-20260512/backend/app/gateway/routers/compact_menu_overrides.py
index aa182d44..f73ee10c 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/compact_menu_overrides.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/compact_menu_overrides.py
@@ -17,8 +17,8 @@ from pydantic import BaseModel, Field
 
 from app.gateway.deps import get_current_user, get_optional_user_from_request
 from deerflow.persistence.compact_menu_overrides import (
-    CompactMenuOverrideStore,
     DEFAULT_COMPACT_MENU_TYPE,
+    CompactMenuOverrideStore,
     normalize_compact_menu_type,
 )
 
@@ -27,7 +27,7 @@ router = APIRouter(prefix="/api/compact-menu-overrides", tags=["compact-menu-ove
 
 class CompactMenuOverride(BaseModel):
     node_id: str = Field(..., min_length=1, max_length=128)
-    placement: Literal["sidebar", "settings"] = "sidebar"
+    placement: Literal["sidebar", "settings", "toolbox"] = "sidebar"
     sort_order: int = 0
     label: str | None = Field(default=None, max_length=255)
 
diff --git a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
index dc719b71..488c26b5 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/llmwiki.py
@@ -1151,35 +1151,15 @@ html.deerflow-source-detail-open [data-deerflow-source-detail-panel="true"] [cla
     if (!proxyUrl) return;
     if (
       image.dataset.deerflowProtectedSource === protectedSrc &&
-      String(image.getAttribute("src") || "").startsWith("blob:")
+      String(image.getAttribute("src") || "") === proxyUrl
     ) return;
-    const attempts = Number(image.dataset.deerflowProtectedAttempts || "0");
-    if (attempts >= 3 || image.dataset.deerflowProtectedLoading === "1") return;
-    image.dataset.deerflowProtectedLoading = "1";
-    image.dataset.deerflowProtectedAttempts = String(attempts + 1);
-    nativeFetch(proxyUrl, {{ credentials: "same-origin", headers: {{ Accept: "image/*" }} }})
-      .then((response) => {{
-        if (!response.ok) throw new Error(`protected image request failed (${{response.status}})`);
-        return response.blob();
-      }})
-      .then((blob) => {{
-        const objectUrl = URL.createObjectURL(blob);
-        image.dataset.deerflowProtectedSource = protectedSrc;
-        image.removeAttribute("data-img-loading");
-        image.removeAttribute("data-wiki-image-error");
-        image.src = objectUrl;
-        image.addEventListener("load", () => URL.revokeObjectURL(objectUrl), {{ once: true }});
-      }})
-      .catch(() => {{
-        image.dataset.wikiImageError = "true";
-        window.setTimeout(() => {{
-          delete image.dataset.deerflowProtectedLoading;
-          hydrateProtectedImage(image);
-        }}, 1200 * (attempts + 1));
-      }})
-      .finally(() => {{
-        delete image.dataset.deerflowProtectedLoading;
-      }});
+    // Keep the real HTTP proxy URL on the DOM node.  WeKnora's preview/lightbox
+    // reuses the thumbnail's src when the user clicks it; a short-lived blob URL
+    // may render once and then become invalid before the preview opens.
+    image.dataset.deerflowProtectedSource = protectedSrc;
+    image.removeAttribute("data-img-loading");
+    image.removeAttribute("data-wiki-image-error");
+    image.src = proxyUrl;
   }}
   function hydrateProtectedImages(scope = document) {{
     if (scope?.matches?.("img[data-protected-src]")) hydrateProtectedImage(scope);
@@ -1197,7 +1177,7 @@ html.deerflow-source-detail-open [data-deerflow-source-detail-panel="true"] [cla
     childList: true,
     subtree: true,
     attributes: true,
-    attributeFilter: ["data-protected-src"]
+    attributeFilter: ["data-protected-src", "src"]
   }});
   hydrateProtectedImages();
 
diff --git a/offline-backend-20260512/backend/app/gateway/routers/public_knowledge_vector_search.py b/offline-backend-20260512/backend/app/gateway/routers/public_knowledge_vector_search.py
new file mode 100644
index 00000000..db254f3f
--- /dev/null
+++ b/offline-backend-20260512/backend/app/gateway/routers/public_knowledge_vector_search.py
@@ -0,0 +1,152 @@
+"""Anonymous vector search over published, locally indexed WeKnora Wiki data."""
+
+from __future__ import annotations
+
+from typing import Any
+from urllib.parse import quote, urlencode
+
+from fastapi import APIRouter, HTTPException, Request
+from pydantic import BaseModel, Field
+
+from deerflow.integrations.weknora.local_index.search import WikiIndexError
+
+router = APIRouter(tags=["public-knowledge-vector-search"])
+
+
+class PublicKnowledgeVectorSearchRequest(BaseModel):
+    query: str = Field(..., min_length=1, max_length=10_000)
+    top_k: int = Field(default=10, ge=1, le=100)
+    include_page_content: bool = False
+
+
+def _is_conversation_deposit(mapping: dict[str, Any]) -> bool:
+    return str(mapping.get("owner_user_id") or "") == "system" and str(mapping.get("name") or "").strip() == "对话沉淀"
+
+
+async def _published_mappings(request: Request) -> list[dict[str, Any]]:
+    store = getattr(request.app.state, "llmwiki_store", None)
+    if store is None:
+        raise HTTPException(status_code=503, detail={"code": "LLMWIKI_STORE_UNAVAILABLE"})
+    rows = await store.list_visible("system", scope="public", is_admin=False)
+    return [row for row in rows if row.get("publication_status") == "published" and not _is_conversation_deposit(row)]
+
+
+def _unique_strings(values: list[str]) -> list[str]:
+    return list(dict.fromkeys(value for value in values if value))
+
+
+def _reference_metadata(item: dict[str, Any]) -> dict[str, Any]:
+    source_refs = item.get("source_refs") if isinstance(item.get("source_refs"), list) else []
+    chunk_refs = item.get("chunk_refs") if isinstance(item.get("chunk_refs"), list) else []
+    document_ids: list[str] = []
+    document_names: list[str] = []
+    chunk_ids: list[str] = []
+    source_ref_ids: list[str] = []
+
+    for ref in source_refs:
+        if isinstance(ref, dict):
+            document_id = str(ref.get("document_id") or ref.get("knowledge_id") or ref.get("documentId") or ref.get("knowledgeId") or "").strip()
+            document_name = str(
+                ref.get("document_name") or ref.get("knowledge_title") or ref.get("documentName") or ref.get("knowledgeTitle") or ref.get("file_name") or ref.get("filename") or ref.get("title") or ref.get("name") or ""
+            ).strip()
+            chunk_id = str(ref.get("chunk_id") or ref.get("chunkId") or "").strip()
+            if document_id:
+                document_ids.append(document_id)
+            if document_name:
+                document_names.append(document_name)
+            if chunk_id:
+                chunk_ids.append(chunk_id)
+        elif isinstance(ref, (str, int)) and str(ref).strip():
+            source_ref_ids.append(str(ref).strip())
+
+    for ref in chunk_refs:
+        if isinstance(ref, dict):
+            chunk_id = str(ref.get("chunk_id") or ref.get("chunkId") or ref.get("id") or "").strip()
+        else:
+            chunk_id = str(ref or "").strip()
+        if chunk_id:
+            chunk_ids.append(chunk_id)
+
+    document_ids = _unique_strings(document_ids)
+    document_names = _unique_strings(document_names)
+    chunk_ids = _unique_strings(chunk_ids)
+    source_ref_ids = _unique_strings(source_ref_ids)
+    return {
+        "document_id": document_ids[0] if document_ids else None,
+        "document_name": document_names[0] if document_names else None,
+        "document_ids": document_ids,
+        "document_names": document_names,
+        "chunk_id": chunk_ids[0] if chunk_ids else None,
+        "chunk_ids": chunk_ids,
+        "source_ref_ids": source_ref_ids,
+    }
+
+
+def _wiki_link(frontend_base_url: str, mapping_id: str, wiki_slug: str) -> tuple[str, str]:
+    query = urlencode({"wikiSlug": wiki_slug})
+    route = f"/#/page/workspace/knowledge/{quote(mapping_id, safe='')}/wiki/view?{query}"
+    return route, f"{frontend_base_url.rstrip('/')}{route}"
+
+
+@router.post("/api/knowledge/vector-search")
+async def public_knowledge_vector_search(
+    request: Request,
+    body: PublicKnowledgeVectorSearchRequest,
+) -> dict[str, Any]:
+    mappings = await _published_mappings(request)
+    search = getattr(request.app.state, "llmwiki_vector_search", None)
+    if search is None:
+        raise HTTPException(status_code=503, detail={"code": "WIKI_INDEX_UNAVAILABLE"})
+    try:
+        payload = await search.search_sections(
+            body.query,
+            mappings,
+            top_k_sections=body.top_k,
+            external=True,
+        )
+    except WikiIndexError as exc:
+        raise HTTPException(
+            status_code=exc.status_code,
+            detail={"code": exc.code, "message": str(exc)},
+        ) from None
+
+    # Publication can change while an embedding/search call is in flight. A
+    # second read ensures an unpublished or newly reserved result is never
+    # emitted by this anonymous endpoint.
+    still_published = {str(row["id"]) for row in await _published_mappings(request)}
+    frontend_base_url = request.app.state.config.llmwiki.local_wiki_index.frontend_base_url
+    results: list[dict[str, Any]] = []
+    for raw_item in payload.get("results") or []:
+        if str(raw_item.get("knowledge_base_id") or "") not in still_published:
+            continue
+        item = dict(raw_item)
+        wiki_route, wiki_url = _wiki_link(
+            frontend_base_url,
+            str(item["knowledge_base_id"]),
+            str(item["wiki_slug"]),
+        )
+        item.update(_reference_metadata(item))
+        item["wiki_route"] = wiki_route
+        item["wiki_url"] = wiki_url
+        if not body.include_page_content:
+            item.pop("page_content", None)
+        results.append(item)
+
+    return {
+        "query": body.query,
+        "top_k": body.top_k,
+        "mode": "vector",
+        "results": results,
+        "count": len(results),
+        "knowledge_base_count": payload.get("knowledge_base_count", len(mappings)),
+        "index_fingerprint": payload.get("index_fingerprint"),
+        "partial": bool(payload.get("partial", False)),
+        "warnings": payload.get("warnings") or [],
+    }
+
+
+__all__ = [
+    "PublicKnowledgeVectorSearchRequest",
+    "public_knowledge_vector_search",
+    "router",
+]
diff --git a/offline-backend-20260512/backend/config.yaml b/offline-backend-20260512/backend/config.yaml
index 31606d1a..aa389625 100644
--- a/offline-backend-20260512/backend/config.yaml
+++ b/offline-backend-20260512/backend/config.yaml
@@ -561,6 +561,8 @@ llmwiki:
   # 且服务启动时只启动定时器，不会立刻全量向量化。
   local_wiki_index:
     enabled: false
+    # 免登录 POST /api/knowledge/vector-search 返回的 Wiki 一键跳转链接前缀。
+    frontend_base_url: "http://127.0.0.1:5174"
     auto_sync: false
     database_batch_size: 50
     embedding:
diff --git a/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md b/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md
index 02ed80c8..38840a5c 100644
--- a/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md
+++ b/offline-backend-20260512/backend/docs/LLMWIKI_DEERFLOW_LOCAL_VECTOR_INDEX_ZH.md
@@ -1132,6 +1132,35 @@ Content-Type: application/json
 }
 ```
 
+#### 13.4.1 免鉴权浏览器向量搜索
+
+本部署另行提供一个与上述 API-Key 命名空间隔离的新接口：
+
+```http
+POST /api/knowledge/vector-search
+Content-Type: application/json
+```
+
+最小请求只需检索词：
+
+```json
+{"query": "任正非早期创业经历"}
+```
+
+可选参数只有 `top_k`（默认 `10`，最大 `100`）和
+`include_page_content`（默认 `false`）。接口不需要登录 Token 或
+`X-API-Key`，不做应用内限流，并针对这一条路由返回
+`Access-Control-Allow-Origin: *`。检索范围是全部 `published` 知识库，
+不检查 `external_search_enabled`，但在检索前后都排除系统“对话沉淀”库。
+
+响应按向量分段展开：同一 Wiki 页命中多个分段时会返回多条结果。每条结果
+包含命中文本和分数、DeerFlow/WeKnora 知识库与 Wiki 页 ID、页面元数据、
+原始 `source_refs`/`chunk_refs`、可提取到的文档/分块 ID，以及可直接打开的
+`wiki_url`。当 `include_page_content=true` 时额外返回完整 `page_content`。
+`wiki_url` 的前缀配置为
+`llmwiki.local_wiki_index.frontend_base_url`，开发默认值是
+`http://127.0.0.1:5174`。
+
 ### 13.5 外部页面详情
 
 ```http
@@ -1156,6 +1185,9 @@ X-API-Key: <external key>
 
 如果为了少改 AuthMiddleware 而把接口挂到 `/api/public/`，路由自身也必须强制校验 API Key；但长期推荐独立 `/api/external/` 语义。
 
+上面的原则仍适用于通用服务间接口；13.4.1 是经过明确产品确认的例外，并通过
+精确路径白名单和路由级 CORS 隔离，不能据此放宽其他 API。
+
 ### 13.7 状态码约定
 
 | 状态码 | 场景 |
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py b/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
index ae2427af..291a06d5 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/config/llmwiki_config.py
@@ -108,6 +108,10 @@ class LocalWikiIndexConfig(BaseModel):
     """DeerFlow-owned mirror and exact-vector index for WeKnora Wiki pages."""
 
     enabled: bool = False
+    frontend_base_url: str = Field(
+        default="http://127.0.0.1:5174",
+        description="DeerFlow frontend base URL used to build directly usable Wiki links in public vector-search results.",
+    )
     auto_sync: bool = False
     sync_interval_seconds: int = Field(default=120, ge=10, le=86400)
     sync_page_size: int = Field(default=100, ge=1, le=500)
@@ -135,6 +139,14 @@ class LocalWikiIndexConfig(BaseModel):
     external_api: LocalWikiExternalApiConfig = Field(default_factory=LocalWikiExternalApiConfig)
     model_config = ConfigDict(extra="ignore")
 
+    @field_validator("frontend_base_url")
+    @classmethod
+    def _validate_frontend_base_url(cls, value: str) -> str:
+        normalized = normalize_service_url(value)
+        if not normalized:
+            raise ValueError("local Wiki index frontend_base_url is required")
+        return normalized
+
     @model_validator(mode="before")
     @classmethod
     def _migrate_legacy_flags(cls, value):
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/search.py b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/search.py
index 5e893b12..17261736 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/search.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/integrations/weknora/local_index/search.py
@@ -46,29 +46,12 @@ class WikiVectorSearchService:
             raise WikiIndexError("WIKI_QUERY_EMPTY", "Search query is empty", status_code=400)
         if not mappings:
             return {"query": normalized_query, "mode": "vector", "results": [], "knowledge_base_count": 0, "index_fingerprint": self.embedding.fingerprint[:12], "partial": False, "warnings": []}
-        try:
-            query_vector = await self._embed_query(normalized_query)
-        except (WikiEmbeddingError, ValueError) as exc:
-            raise WikiIndexError("WIKI_EMBEDDING_UNAVAILABLE", str(exc), status_code=503) from None
-        fingerprint = self.embedding.fingerprint
-        tasks = [self._search_mapping(normalized_query, query_vector, mapping, fingerprint, include_drafts=include_drafts, external=external) for mapping in mappings]
-        batches = await asyncio.gather(*tasks, return_exceptions=True)
-        candidates: list[dict[str, Any]] = []
-        warnings: list[str] = []
-        for mapping, batch in zip(mappings, batches, strict=True):
-            if isinstance(batch, Exception):
-                warnings.append(f"{mapping.get('id')}: {batch}")
-            else:
-                candidates.extend(batch)
-        if warnings and not candidates and len(warnings) == len(mappings):
-            if any("FINGERPRINT" in item for item in warnings):
-                code = "WIKI_INDEX_FINGERPRINT_MISMATCH"
-            elif any("rebuild" in item.lower() for item in warnings):
-                code = "WIKI_INDEX_REBUILDING"
-            else:
-                code = "WIKI_INDEX_NOT_READY"
-            raise WikiIndexError(code, "Local Wiki index is not ready", status_code=409)
-        candidates.sort(key=lambda item: item["score"], reverse=True)
+        fingerprint, candidates, warnings = await self._collect_candidates(
+            normalized_query,
+            mappings,
+            include_drafts=include_drafts,
+            external=external,
+        )
         grouped: dict[tuple[str, str], list[dict[str, Any]]] = defaultdict(list)
         for candidate in candidates:
             page = candidate["page"]
@@ -111,6 +94,141 @@ class WikiVectorSearchService:
         limit = min(top_k_pages or self.config.top_k_pages, self.config.top_k_pages if top_k_pages is None else 50)
         return {"query": normalized_query, "mode": "vector", "results": results[:limit], "knowledge_base_count": len(mappings), "index_fingerprint": fingerprint[:12], "partial": bool(warnings), "warnings": warnings}
 
+    async def search_sections(
+        self,
+        query: str,
+        mappings: list[dict[str, Any]],
+        *,
+        top_k_sections: int = 10,
+        external: bool = False,
+    ) -> dict[str, Any]:
+        """Return one result per matching Wiki vector section.
+
+        The regular ``search`` method intentionally groups several sections
+        under one Wiki page for citations. Public consumers of the standalone
+        vector API need the opposite contract: every matched vector is a
+        separate ranked item, while the complete page and knowledge-base
+        metadata remains attached to that item.
+        """
+
+        normalized_query = query.strip()
+        if not normalized_query:
+            raise WikiIndexError("WIKI_QUERY_EMPTY", "Search query is empty", status_code=400)
+        limit = max(1, min(int(top_k_sections), 100))
+        if not mappings:
+            return {
+                "query": normalized_query,
+                "mode": "vector",
+                "results": [],
+                "knowledge_base_count": 0,
+                "index_fingerprint": self.embedding.fingerprint[:12],
+                "partial": False,
+                "warnings": [],
+            }
+        fingerprint, candidates, warnings = await self._collect_candidates(
+            normalized_query,
+            mappings,
+            include_drafts=False,
+            external=external,
+            section_limit=limit,
+        )
+        results: list[dict[str, Any]] = []
+        for candidate in candidates[:limit]:
+            page = candidate["page"]
+            mapping = candidate["mapping"]
+            results.append(
+                {
+                    "kind": "wiki_section",
+                    "id": candidate.get("id") or f"{page['id']}:{candidate['section_index']}",
+                    "section_id": candidate.get("id") or f"{page['id']}:{candidate['section_index']}",
+                    "section_index": int(candidate["section_index"]),
+                    "heading": candidate.get("heading"),
+                    "content": str(candidate.get("section_content") or ""),
+                    "section_content_hash": candidate.get("content_hash") or "",
+                    "score": float(candidate["score"]),
+                    "knowledge_base_id": mapping["id"],
+                    "weknora_knowledge_base_id": mapping.get("weknora_id") or "",
+                    "knowledge_base_name": mapping.get("name") or "",
+                    "knowledge_base_description": mapping.get("description") or "",
+                    "knowledge_base_type": mapping.get("kb_type") or "document",
+                    "publication_status": mapping.get("publication_status") or "",
+                    "published_at": mapping.get("published_at"),
+                    "wiki_page_id": page["id"],
+                    "weknora_wiki_page_id": page.get("remote_page_id"),
+                    "wiki_slug": page["slug"],
+                    "title": page.get("title") or page["slug"],
+                    "summary": page.get("summary") or "",
+                    "page_content": page.get("content_md") or "",
+                    "page_type": page.get("page_type") or "article",
+                    "page_status": page.get("status") or "published",
+                    "page_version": int(page.get("page_version") or 0),
+                    "aliases": page.get("aliases") or [],
+                    "category_path": page.get("category_path") or [],
+                    "parent_slug": page.get("parent_slug"),
+                    "wiki_path": page.get("wiki_path"),
+                    "source_refs": page.get("source_refs") or [],
+                    "chunk_refs": page.get("chunk_refs") or [],
+                    "page_content_hash": page.get("content_hash") or "",
+                    "remote_created_at": page.get("remote_created_at"),
+                    "remote_updated_at": page.get("remote_updated_at"),
+                    "indexed_at": page.get("indexed_at"),
+                }
+            )
+        return {
+            "query": normalized_query,
+            "mode": "vector",
+            "results": results,
+            "knowledge_base_count": len(mappings),
+            "index_fingerprint": fingerprint[:12],
+            "partial": bool(warnings),
+            "warnings": warnings,
+        }
+
+    async def _collect_candidates(
+        self,
+        query: str,
+        mappings: list[dict[str, Any]],
+        *,
+        include_drafts: bool,
+        external: bool,
+        section_limit: int | None = None,
+    ) -> tuple[str, list[dict[str, Any]], list[str]]:
+        try:
+            query_vector = await self._embed_query(query)
+        except (WikiEmbeddingError, ValueError) as exc:
+            raise WikiIndexError("WIKI_EMBEDDING_UNAVAILABLE", str(exc), status_code=503) from None
+        fingerprint = self.embedding.fingerprint
+        tasks = [
+            self._search_mapping(
+                query,
+                query_vector,
+                mapping,
+                fingerprint,
+                include_drafts=include_drafts,
+                external=external,
+                section_limit=section_limit,
+            )
+            for mapping in mappings
+        ]
+        batches = await asyncio.gather(*tasks, return_exceptions=True)
+        candidates: list[dict[str, Any]] = []
+        warnings: list[str] = []
+        for mapping, batch in zip(mappings, batches, strict=True):
+            if isinstance(batch, Exception):
+                warnings.append(f"{mapping.get('id')}: {batch}")
+            else:
+                candidates.extend(batch)
+        if warnings and not candidates and len(warnings) == len(mappings):
+            if any("FINGERPRINT" in item for item in warnings):
+                code = "WIKI_INDEX_FINGERPRINT_MISMATCH"
+            elif any("rebuild" in item.lower() for item in warnings):
+                code = "WIKI_INDEX_REBUILDING"
+            else:
+                code = "WIKI_INDEX_NOT_READY"
+            raise WikiIndexError(code, "Local Wiki index is not ready", status_code=409)
+        candidates.sort(key=lambda item: item["score"], reverse=True)
+        return fingerprint, candidates, warnings
+
     async def _embed_query(self, query: str) -> np.ndarray:
         digest = hashlib.sha256(query.encode("utf-8")).hexdigest()
         key = f"{self.embedding.fingerprint}:{digest}"
@@ -126,7 +244,17 @@ class WikiVectorSearchService:
             self._query_vectors.popitem(last=False)
         return vector
 
-    async def _search_mapping(self, query: str, vector: np.ndarray, mapping: dict[str, Any], fingerprint: str, *, include_drafts: bool, external: bool) -> list[dict[str, Any]]:
+    async def _search_mapping(
+        self,
+        query: str,
+        vector: np.ndarray,
+        mapping: dict[str, Any],
+        fingerprint: str,
+        *,
+        include_drafts: bool,
+        external: bool,
+        section_limit: int | None = None,
+    ) -> list[dict[str, Any]]:
         mapping_id = str(mapping["id"])
         try:
             snapshot = await self.cache.get(mapping_id, fingerprint)
@@ -148,7 +276,13 @@ class WikiVectorSearchService:
         )
         if eligible.size == 0:
             return []
-        indices, scores = await asyncio.to_thread(self._top_indices, snapshot, vector, eligible)
+        indices, scores = await asyncio.to_thread(
+            self._top_indices,
+            snapshot,
+            vector,
+            eligible,
+            section_limit,
+        )
         terms = {term.lower() for term in re.findall(r"[\w\u4e00-\u9fff]{2,}", query)}
         candidates = []
         for index, score in zip(indices, scores, strict=True):
@@ -166,9 +300,15 @@ class WikiVectorSearchService:
             candidates.append({**row, "page": page, "mapping": mapping, "score": final_score})
         return candidates
 
-    def _top_indices(self, snapshot: WikiVectorSnapshot, vector: np.ndarray, eligible: np.ndarray) -> tuple[np.ndarray, np.ndarray]:
+    def _top_indices(
+        self,
+        snapshot: WikiVectorSnapshot,
+        vector: np.ndarray,
+        eligible: np.ndarray,
+        section_limit: int | None = None,
+    ) -> tuple[np.ndarray, np.ndarray]:
         scores = snapshot.matrix[eligible] @ vector
-        count = min(self.config.top_k_sections, scores.size)
+        count = min(section_limit or self.config.top_k_sections, scores.size)
         if count <= 0:
             return np.asarray([], dtype=int), np.asarray([], dtype=np.float32)
         positions = np.argpartition(scores, -count)[-count:]
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/memory.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/memory.py
index 3b4898ca..20f26b76 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/memory.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/memory.py
@@ -19,7 +19,7 @@ def _normalize(data: dict[str, Any], menu_type: str, updated_by: str | None) ->
     return {
         "node_id": storage_node_id(menu_type, node_id),
         "menu_type": menu_type,
-        "placement": placement if placement in {"sidebar", "settings"} else "sidebar",
+        "placement": placement if placement in {"sidebar", "settings", "toolbox"} else "sidebar",
         "sort_order": int(data.get("sort_order", 0)),
         "label": (data.get("label") or None),
         "updated_by": updated_by,
diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/sql.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/sql.py
index 8acc289f..77909132 100644
--- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/sql.py
+++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/compact_menu_overrides/sql.py
@@ -35,7 +35,7 @@ def _row_from(data: dict[str, Any], menu_type: str, updated_by: str | None) -> C
     return CompactMenuOverrideRow(
         node_id=storage_node_id(menu_type, node_id),
         menu_type=menu_type,
-        placement=placement if placement in {"sidebar", "settings"} else "sidebar",
+        placement=placement if placement in {"sidebar", "settings", "toolbox"} else "sidebar",
         sort_order=int(data.get("sort_order", 0)),
         label=(data.get("label") or None),
         updated_by=updated_by,
diff --git a/offline-backend-20260512/backend/tests/test_compact_menu_overrides.py b/offline-backend-20260512/backend/tests/test_compact_menu_overrides.py
index a9153e32..f3dae0e8 100644
--- a/offline-backend-20260512/backend/tests/test_compact_menu_overrides.py
+++ b/offline-backend-20260512/backend/tests/test_compact_menu_overrides.py
@@ -12,8 +12,8 @@ from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
 
 from deerflow.persistence.base import Base
 from deerflow.persistence.compact_menu_overrides import (
-    MemoryCompactMenuOverrideStore,
     CompactMenuOverrideRepository,
+    MemoryCompactMenuOverrideStore,
     normalize_compact_menu_type,
 )
 from deerflow.persistence.compact_menu_overrides.keys import public_node_id, storage_node_id
@@ -53,15 +53,17 @@ async def test_replace_all_roundtrips(store: CompactMenuOverrideRepository):
         [
             {"node_id": "workspace-chats", "placement": "settings", "sort_order": 1, "label": "会话"},
             {"node_id": "workspace-agents", "placement": "sidebar", "sort_order": 0, "label": None},
+            {"node_id": "workspace-skills", "placement": "toolbox", "sort_order": 0, "label": "技能工具"},
         ],
         updated_by="admin-1",
     )
-    assert len(out) == 2
+    assert len(out) == 3
     rows = {r["node_id"]: r for r in await store.list_overrides()}
     assert rows["workspace-chats"]["label"] == "会话"
     assert rows["workspace-chats"]["placement"] == "settings"
     assert rows["workspace-chats"]["menu_type"] == "A"
     assert rows["workspace-agents"]["updated_by"] == "admin-1"
+    assert rows["workspace-skills"]["placement"] == "toolbox"
 
 
 @pytest.mark.asyncio
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_vector_search.py b/offline-backend-20260512/backend/tests/test_llmwiki_vector_search.py
index b27cbbf5..a249c886 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_vector_search.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_vector_search.py
@@ -56,6 +56,13 @@ async def test_exact_search_groups_sections_by_wiki_page_and_filters_drafts() ->
     with_drafts = await service.search("alice", [mapping], include_drafts=True)
     assert {item["wiki_slug"] for item in with_drafts["results"]} == {"alice", "secret"}
 
+    section_result = await service.search_sections("alice", [mapping], top_k_sections=2, external=True)
+    assert [item["content"] for item in section_result["results"]] == ["Alpha", "Beta"]
+    assert all(item["wiki_slug"] == "alice" for item in section_result["results"])
+    assert all(item["kind"] == "wiki_section" for item in section_result["results"])
+    assert section_result["results"][0]["wiki_page_id"]
+    assert "page_content" in section_result["results"][0]
+
     narrow_service = WikiVectorSearchService(
         LocalWikiIndexConfig(min_similarity=0, top_k_sections=1, top_k_pages=1),
         FakeEmbedding(),
diff --git a/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py b/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
index b5c3ee1f..cfcf45af 100644
--- a/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
+++ b/offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
@@ -1379,7 +1379,9 @@ def test_weknora_iframe_html_rewrites_public_prefix_paths() -> None:
     assert "function protectedImageApiUrl" in injected
     assert 'img[data-protected-src]' in injected
     assert 'encodeURIComponent(cfg.weknoraId)' in injected
-    assert 'credentials: "same-origin"' in injected
+    assert "image.src = proxyUrl;" in injected
+    assert "URL.createObjectURL(blob)" not in injected
+    assert 'attributeFilter: ["data-protected-src", "src"]' in injected
 
 
 def test_weknora_iframe_filters_kb_list_to_signed_visible_mappings() -> None:

From 0980eea975de93d841d3e48707144d30e2b07e5f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=90=89=E9=91=AB=E5=8D=87?= <xsji@kland.com.cn>
Date: Wed, 26 Aug 2026 16:02:23 +0800
Subject: [PATCH 5/5] feat: unify formal Word export

---
 .gitignore                                    |   2 +
 .../messages/download-word-button.tsx         |  81 +-
 .../workspace/messages/message-list-item.tsx  |  19 +-
 .../workspace/messages/message-list.tsx       |  26 +-
 .../src/core/api/markdown-docx-export.ts      | 112 +-
 .../src/core/scheduled-tasks/markdown-docx.ts | 512 +--------
 frontend-web/src/core/threads/export.ts       |   2 +-
 offline-backend-20260512/backend/CLAUDE.md    |  10 +-
 offline-backend-20260512/backend/README.md    |   8 +-
 .../app/gateway/assets/fonts/README.md        |  11 +
 .../gateway/assets/fonts/方正小标宋简体.ttf   | Bin 0 -> 4045592 bytes
 .../backend/app/gateway/auth_middleware.py    |   2 +
 .../backend/app/gateway/csrf_middleware.py    |  19 +-
 .../backend/app/gateway/routers/writing.py    |  51 +-
 .../backend/app/gateway/word_export.py        | 994 ++++++++++++++++++
 .../backend/tests/test_word_export.py         | 116 ++
 16 files changed, 1356 insertions(+), 609 deletions(-)
 create mode 100644 offline-backend-20260512/backend/app/gateway/assets/fonts/README.md
 create mode 100644 offline-backend-20260512/backend/app/gateway/assets/fonts/方正小标宋简体.ttf
 create mode 100644 offline-backend-20260512/backend/app/gateway/word_export.py
 create mode 100644 offline-backend-20260512/backend/tests/test_word_export.py

diff --git a/.gitignore b/.gitignore
index 1c2eca88..f3b7b43e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -90,6 +90,8 @@ hermes-agent-main/
 offline-backend-20260512/backend/tests/*
 !offline-backend-20260512/backend/tests/test_llmwiki_weknora.py
 !offline-backend-20260512/backend/tests/test_health_auth_bypass.py
+# Keep formal Word OOXML and embedded-font regression coverage versioned.
+!offline-backend-20260512/backend/tests/test_word_export.py
 # Keep the model configuration regression coverage versioned even though
 # this deployment repository otherwise ignores newly added backend tests.
 !offline-backend-20260512/backend/tests/test_model_management.py
diff --git a/frontend-web/src/components/workspace/messages/download-word-button.tsx b/frontend-web/src/components/workspace/messages/download-word-button.tsx
index c50c734f..40e7d79d 100644
--- a/frontend-web/src/components/workspace/messages/download-word-button.tsx
+++ b/frontend-web/src/components/workspace/messages/download-word-button.tsx
@@ -1,8 +1,14 @@
-import { FileText, Loader2 } from "lucide-react";
+import { FileText, Loader2, MessagesSquare } from "lucide-react";
 import { useState, type ComponentProps } from "react";
 import { toast } from "sonner";
 
 import { Button } from "@/components/ui/button";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
 import { downloadMarkdownAsDocx } from "@/core/scheduled-tasks/markdown-docx";
 
 import { Tooltip } from "../tooltip";
@@ -11,29 +17,84 @@ export function DownloadWordButton({
   markdown,
   fileName,
   title,
+  questionMarkdown,
   ...props
 }: ComponentProps<typeof Button> & {
   markdown: string;
   fileName?: string;
   title?: string;
+  /** When present, the button offers both answer-only and current Q&A export. */
+  questionMarkdown?: string;
 }) {
-  const [busy, setBusy] = useState(false);
-  const handleDownload = async () => {
+  const [busyScope, setBusyScope] = useState<"answer" | "qa" | null>(null);
+  const handleDownload = async (scope: "answer" | "qa" = "answer") => {
     const source = markdown?.trim();
     if (!source) {
       toast.error("无可下载的 Markdown 内容");
       return;
     }
-    setBusy(true);
+    const question = questionMarkdown?.trim();
+    setBusyScope(scope);
     try {
-      await downloadMarkdownAsDocx(source, fileName || "message", title);
+      if (scope === "qa" && question) {
+        const qaMarkdown = `## 问题\n\n${question}\n\n## 回答\n\n${source}`;
+        await downloadMarkdownAsDocx(
+          qaMarkdown,
+          `${fileName || "message"}-问答`,
+          "问答记录",
+        );
+      } else {
+        await downloadMarkdownAsDocx(
+          source,
+          fileName || "message",
+          title || (question ? "问答回答" : undefined),
+        );
+      }
       toast.success("Word 文件已生成");
     } catch (error) {
       toast.error(error instanceof Error ? error.message : "生成 Word 失败");
     } finally {
-      setBusy(false);
+      setBusyScope(null);
     }
   };
+
+  const busy = busyScope !== null;
+  const icon = busy ? (
+    <Loader2 size={12} className="animate-spin" />
+  ) : (
+    <FileText size={12} />
+  );
+
+  if (questionMarkdown?.trim()) {
+    return (
+      <DropdownMenu>
+        <Tooltip content="下载为 Word">
+          <DropdownMenuTrigger asChild>
+            <Button
+              size="icon-sm"
+              type="button"
+              variant="ghost"
+              disabled={busy}
+              {...props}
+            >
+              {icon}
+            </Button>
+          </DropdownMenuTrigger>
+        </Tooltip>
+        <DropdownMenuContent align="end">
+          <DropdownMenuItem onSelect={() => void handleDownload("answer")}>
+            <FileText className="text-muted-foreground" />
+            仅下载当前回答
+          </DropdownMenuItem>
+          <DropdownMenuItem onSelect={() => void handleDownload("qa")}>
+            <MessagesSquare className="text-muted-foreground" />
+            下载当前问题和回答
+          </DropdownMenuItem>
+        </DropdownMenuContent>
+      </DropdownMenu>
+    );
+  }
+
   return (
     <Tooltip content="下载为 Word">
       <Button
@@ -41,14 +102,10 @@ export function DownloadWordButton({
         type="button"
         variant="ghost"
         disabled={busy}
-        onClick={handleDownload}
+        onClick={() => void handleDownload("answer")}
         {...props}
       >
-        {busy ? (
-          <Loader2 size={12} className="animate-spin" />
-        ) : (
-          <FileText size={12} />
-        )}
+        {icon}
       </Button>
     </Tooltip>
   );
diff --git a/frontend-web/src/components/workspace/messages/message-list-item.tsx b/frontend-web/src/components/workspace/messages/message-list-item.tsx
index 3e138bbd..dc548ff1 100644
--- a/frontend-web/src/components/workspace/messages/message-list-item.tsx
+++ b/frontend-web/src/components/workspace/messages/message-list-item.tsx
@@ -159,8 +159,9 @@ export function MessageListItem({
   className,
   fitRowToContent = false,
   anchorId,
-  message,
-  isLoading,
+  message,
+  questionMarkdown,
+  isLoading,
   threadId,
   tokenUsageEnabled = false,
   displaySources = [],
@@ -177,7 +178,9 @@ export function MessageListItem({
    * message. `scroll-mt` keeps the target clear of the overlay header.
    */
   anchorId?: string;
-  message: Message;
+  message: Message;
+  /** Nearest preceding user question, used by the current-Q&A Word export. */
+  questionMarkdown?: string;
   isLoading?: boolean;
   threadId: string;
   tokenUsageEnabled?: boolean;
@@ -327,10 +330,12 @@ export function MessageListItem({
           <div className="flex gap-1">
             <CopyButton clipboardData={messageMarkdown} />
             {messageMarkdown && (
-              <DownloadWordButton
-                markdown={messageMarkdown}
-                fileName="message"
-              />
+              <DownloadWordButton
+                markdown={messageMarkdown}
+                fileName="message"
+                title="问答回答"
+                questionMarkdown={questionMarkdown}
+              />
             )}
             {canSaveAssistantEdit && (
               <Tooltip content="编辑消息">
diff --git a/frontend-web/src/components/workspace/messages/message-list.tsx b/frontend-web/src/components/workspace/messages/message-list.tsx
index 84fca01c..72044df3 100644
--- a/frontend-web/src/components/workspace/messages/message-list.tsx
+++ b/frontend-web/src/components/workspace/messages/message-list.tsx
@@ -262,7 +262,7 @@ export function MessageList({
 
   // Durable ask time per message id, used to time-stamp the AI answer (which has
   // no timestamp of its own) with the time of the question that triggered it.
-  const turnTimes = useMemo(() => {
+  const turnTimes = useMemo(() => {
     const map = new Map<string, string>();
     let lastQuestionTime: string | undefined;
     for (const message of messages) {
@@ -276,7 +276,22 @@ export function MessageList({
       }
     }
     return map;
-  }, [messages, askTimes]);
+  }, [messages, askTimes]);
+
+  // Associate each assistant answer with the nearest preceding user question.
+  // This powers the per-answer Word menu without changing message persistence.
+  const questionMarkdownByAssistantId = useMemo(() => {
+    const map = new Map<string, string>();
+    let currentQuestion = "";
+    for (const message of messages) {
+      if (message.type === "human") {
+        currentQuestion = extractContentFromMessage(message)?.trim() ?? "";
+      } else if (message.type === "ai" && message.id && currentQuestion) {
+        map.set(message.id, currentQuestion);
+      }
+    }
+    return map;
+  }, [messages]);
 
   const [settings] = useLocalSettings();
   const ragModeEnabled =
@@ -529,8 +544,11 @@ export function MessageList({
                       ? getQuestionAnchorId(msg, messages.indexOf(msg))
                       : undefined
                   }
-                  message={msg}
-                  isLoading={messageIsLoading}
+                  message={msg}
+                  questionMarkdown={
+                    msg.id ? questionMarkdownByAssistantId.get(msg.id) : undefined
+                  }
+                  isLoading={messageIsLoading}
                   threadId={threadId}
                   tokenUsageEnabled={tokenUsageEnabled}
                   displaySources={displaySources}
diff --git a/frontend-web/src/core/api/markdown-docx-export.ts b/frontend-web/src/core/api/markdown-docx-export.ts
index 5b7f10f7..88fa1a0c 100644
--- a/frontend-web/src/core/api/markdown-docx-export.ts
+++ b/frontend-web/src/core/api/markdown-docx-export.ts
@@ -1,114 +1,22 @@
-import { apiFetch } from "@/core/api/fetch-client";
-import { getBackendBaseURL } from "@/core/config";
-import { OptType, writeYLog } from "@/core/log/y-log";
 import { downloadMarkdownAsDocx } from "@/core/scheduled-tasks/markdown-docx";
 
-function filenameFromContentDisposition(header: string | null): string | null {
-  if (!header) return null;
-  const star = /filename\*=(?:UTF-8'')?([^;]+)/i.exec(header);
-  if (star) {
-    const raw = star[1].replace(/["']/g, "").trim();
-    try {
-      return decodeURIComponent(raw);
-    } catch {
-      return raw;
-    }
-  }
-  const plain = /filename="?([^";\n]+)"?/i.exec(header);
-  return plain ? plain[1].trim() : null;
-}
-
-function sanitizeFallbackFilename(title: string | undefined): string {
-  const base = (title?.trim() || "document").replace(/[<>:"/\\|?*\x00-\x1f]+/g, "_");
-  return base.toLowerCase().endsWith(".docx") ? base : `${base}.docx`;
-}
-
-async function downloadBlobResponse(response: Response, fallbackFilename: string) {
-  if (!response.ok) {
-    const error = await response
-      .json()
-      .catch(() => ({ detail: "导出 Word 失败" }));
-    const detail = error.detail;
-    if (typeof detail === "string") throw new Error(detail);
-    throw new Error("导出 Word 失败");
-  }
-
-  const blob = await response.blob();
-  const filename =
-    filenameFromContentDisposition(response.headers.get("Content-Disposition")) ??
-    fallbackFilename;
-  const url = URL.createObjectURL(blob);
-  const anchor = document.createElement("a");
-  anchor.href = url;
-  anchor.download = filename;
-  anchor.rel = "noopener";
-  document.body.appendChild(anchor);
-  anchor.click();
-  anchor.remove();
-  window.setTimeout(() => URL.revokeObjectURL(url), 30_000);
-}
-
 /**
- * 通用 Markdown → Word 导出（Gateway `writing` 路由，与 `/api/writing/rewrite` 同级）。
+ * Unified Markdown → Word export.
  *
- *   POST /api/writing/export/docx
- *   Body: { title?: string, markdown: string }
- *
- * 返回 `application/vnd.openxmlformats-officedocument.wordprocessingml.document`，
- * 文件名在 `Content-Disposition` 中。
+ * All download surfaces use the same required Gateway endpoint. The Gateway
+ * applies the formal OOXML profile and embeds its bundled title font; there is
+ * deliberately no client-font fallback.
  */
 export async function downloadMarkdownDocxFromBackend(options: {
   title?: string;
   markdown: string;
 }): Promise<void> {
   const markdown = options.markdown.trim();
-  if (!markdown) {
-    throw new Error("文档内容为空");
-  }
+  if (!markdown) throw new Error("文档内容为空");
 
-  const fallbackFilename = sanitizeFallbackFilename(options.title);
-
-  try {
-    const response = await apiFetch(`${getBackendBaseURL()}/api/writing/export/docx`, {
-      method: "POST",
-      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify({
-        title: options.title?.trim() || undefined,
-        markdown,
-      }),
-    });
-
-    // Older/offline gateways mount /api/writing but do not provide export/docx;
-    // FastAPI then answers 404 or 405. The browser converter is feature-equivalent.
-    if (response.status === 404 || response.status === 405) {
-      await downloadMarkdownAsDocx(markdown, options.title?.trim() || "document", options.title);
-      writeYLog({
-        optType: OptType.export,
-        optDetail: "CM助手-全量-导出-Word",
-        url: `${getBackendBaseURL()}/api/writing/export/docx`,
-        reqParam: { title: options.title?.trim() || undefined },
-      });
-      return;
-    }
-
-    await downloadBlobResponse(response, fallbackFilename);
-    writeYLog({
-      optType: OptType.export,
-      optDetail: "CM助手-全量-导出-Word",
-      url: `${getBackendBaseURL()}/api/writing/export/docx`,
-      reqParam: { title: options.title?.trim() || undefined },
-    });
-  } catch (err) {
-    if (err instanceof TypeError) {
-      await downloadMarkdownAsDocx(markdown, options.title?.trim() || "document", options.title);
-      writeYLog({
-        optType: OptType.export,
-        optDetail: "CM助手-全量-导出-Word",
-        url: `${getBackendBaseURL()}/api/writing/export/docx`,
-        reqParam: { title: options.title?.trim() || undefined },
-      });
-      return;
-    }
-    throw err;
-  }
+  await downloadMarkdownAsDocx(
+    markdown,
+    options.title?.trim() || "document",
+    options.title,
+  );
 }
diff --git a/frontend-web/src/core/scheduled-tasks/markdown-docx.ts b/frontend-web/src/core/scheduled-tasks/markdown-docx.ts
index 48c6676e..4116c66d 100644
--- a/frontend-web/src/core/scheduled-tasks/markdown-docx.ts
+++ b/frontend-web/src/core/scheduled-tasks/markdown-docx.ts
@@ -1,485 +1,63 @@
 /**
- * Convert markdown text to a Word (.docx) Blob in the browser.
+ * Unified server-side Markdown -> Word export.
  *
- * Designed for scheduled-task reports that often contain Chinese text,
- * markdown tables, and emojis. Compared to Word's stock heading styles we
- * deliberately:
- *   - Force every run color to pure black (`#000000`) so headings, links,
- *     and inline code never render as Word's default blue / hyperlink theme.
- *   - Render markdown tables as real OOXML tables (full-width, auto-wrapping)
- *     instead of falling back to plain text rows that overflow the page.
- *   - Strip variation selectors, zero-width joiners, and other invisible
- *     characters that often break Word renderers when emojis leak into the
- *     report.
- *
- * Block grammar handled line-by-line:
- *   - ATX heading: `^(#{1,6})\s+(.*)$`
- *   - Fenced code: lines between ``` ``` are emitted verbatim in a mono font
- *   - Blockquote: `^>\s?(.*)$`
- *   - Ordered list: `^\s*(\d+)\.\s+(.*)$`
- *   - Unordered list: `^\s*[-*+]\s+(.*)$`
- *   - Horizontal rule: `^(---|\*\*\*|___)\s*$`
- *   - Pipe table: contiguous lines starting with `|` plus a separator row
- *   - Blank line: paragraph break
- *   - Anything else: paragraph (with inline formatting)
- *
- * Inline grammar handled:
- *   `code`, **bold**, __bold__, *italic*, _italic_, [text](url)
+ * Every Word download surface calls the Gateway so the document receives the
+ * same formal OOXML styles and the server-bundled 方正小标宋简体 title font.
+ * The user's browser and desktop Word installation are never used for font
+ * detection or document generation.
  */
 
-import {
-  AlignmentType,
-  BorderStyle,
-  Document,
-  HeadingLevel,
-  Packer,
-  Paragraph,
-  Table,
-  TableCell,
-  TableRow,
-  TextRun,
-  WidthType,
-  type IRunOptions,
-} from "docx";
-
+import { apiFetch } from "@/core/api/fetch-client";
+import { getBackendBaseURL } from "@/core/config";
 import { OptType, writeYLog } from "@/core/log/y-log";
 
-const BLACK = "000000";
-const BODY_FONT = { ascii: "Calibri", eastAsia: "Microsoft YaHei" };
-const MONO_FONT = { ascii: "Consolas", eastAsia: "Microsoft YaHei" };
+const DOCX_MEDIA_TYPE =
+  "application/vnd.openxmlformats-officedocument.wordprocessingml.document";
 
-const HEADING_SIZES_HALF_PT: Record<number, number> = {
-  // Word "size" property is half-points. 32 = 16pt.
-  1: 36,
-  2: 32,
-  3: 28,
-  4: 26,
-  5: 24,
-  6: 22,
-};
-
-const BODY_SIZE_HALF_PT = 22; // 11pt
-
-type InlineSegment = {
-  text: string;
-  bold?: boolean;
-  italic?: boolean;
-  code?: boolean;
-};
-
-/**
- * Drop characters that Word renders inconsistently or that frequently smuggle
- * emoji glitches into corporate reports.
- *
- * Removes:
- *   - Variation selectors (FE00–FE0F, E0100–E01EF)
- *   - Zero-width joiner / non-joiner / space (200C, 200D, FEFF, 200B)
- *   - Soft hyphen (00AD)
- *   - Object replacement character (FFFC)
- */
-function sanitizeText(text: string): string {
-  return text
-    .replace(/[︀-️]/g, "")
-    .replace(/[​-‍]/g, "")
-    .replace(/­/g, "")
-    .replace(//g, "")
-    .replace(/[\u{E0100}-\u{E01EF}]/gu, "");
+function sanitizeFilename(value: string): string {
+  const name = value
+    .replace(/\.(md|markdown|docx)$/i, "")
+    .replace(/[<>:"/\\|?*\x00-\x1f]+/g, "_")
+    .trim();
+  return name || "document";
 }
 
-/**
- * Tokenise a single line of markdown into formatted segments.
- *
- * Recognised inline syntax:
- *   `code`, **bold**, __bold__, *italic*, _italic_, [text](url)
- * Markdown links are flattened to their text content — we deliberately do not
- * emit hyperlink runs because they pick up Word's blue theme color.
- */
-function parseInlineSegments(text: string): InlineSegment[] {
-  const cleaned = sanitizeText(text);
-  // Strip markdown link syntax first so the regex below doesn't trip on `[...]`.
-  const withoutLinks = cleaned.replace(/\[([^\]]+)\]\([^)]*\)/g, "$1");
-
-  const tokens: InlineSegment[] = [];
-  const pattern =
-    /(`+)([^`]+)\1|\*\*([^*]+)\*\*|__([^_]+)__|\*([^*]+)\*|_([^_]+)_/g;
-  let cursor = 0;
-  let match: RegExpExecArray | null;
-  while ((match = pattern.exec(withoutLinks)) !== null) {
-    if (match.index > cursor) {
-      tokens.push({ text: withoutLinks.slice(cursor, match.index) });
-    }
-    if (match[2] !== undefined) tokens.push({ text: match[2], code: true });
-    else if (match[3] !== undefined) tokens.push({ text: match[3], bold: true });
-    else if (match[4] !== undefined) tokens.push({ text: match[4], bold: true });
-    else if (match[5] !== undefined)
-      tokens.push({ text: match[5], italic: true });
-    else if (match[6] !== undefined)
-      tokens.push({ text: match[6], italic: true });
-    cursor = pattern.lastIndex;
-  }
-  if (cursor < withoutLinks.length) {
-    tokens.push({ text: withoutLinks.slice(cursor) });
-  }
-  return tokens.length > 0 ? tokens : [{ text: withoutLinks }];
+async function responseError(response: Response): Promise<Error> {
+  const payload = await response
+    .json()
+    .catch(() => ({ detail: `生成 Word 失败（HTTP ${response.status}）` }));
+  const detail = payload?.detail;
+  return new Error(typeof detail === "string" ? detail : "生成 Word 失败");
 }
 
-function segmentsToRuns(
-  segments: InlineSegment[],
-  extra?: Partial<IRunOptions>,
-): TextRun[] {
-  return segments.map((seg) => {
-    const opts: IRunOptions = {
-      text: seg.text,
-      bold: seg.bold,
-      italics: seg.italic,
-      color: BLACK,
-      font: seg.code ? MONO_FONT : BODY_FONT,
-      size: extra?.size ?? BODY_SIZE_HALF_PT,
-      ...extra,
-    };
-    return new TextRun(opts);
-  });
-}
-
-function makeParagraphFromInline(text: string): Paragraph {
-  return new Paragraph({
-    spacing: { after: 120 },
-    children: segmentsToRuns(parseInlineSegments(text)),
-  });
-}
-
-function makeHeadingParagraph(level: number, text: string): Paragraph {
-  const clamped = Math.max(1, Math.min(level, 6));
-  return new Paragraph({
-    // We attach a heading level so the table-of-contents still works, but the
-    // run-level color / font / size below override Word's blue theme.
-    heading:
-      ({
-        1: HeadingLevel.HEADING_1,
-        2: HeadingLevel.HEADING_2,
-        3: HeadingLevel.HEADING_3,
-        4: HeadingLevel.HEADING_4,
-        5: HeadingLevel.HEADING_5,
-        6: HeadingLevel.HEADING_6,
-      }[clamped] as (typeof HeadingLevel)[keyof typeof HeadingLevel]) ?? undefined,
-    spacing: { before: 200, after: 120 },
-    children: segmentsToRuns(parseInlineSegments(text), {
-      bold: true,
-      color: BLACK,
-      size: HEADING_SIZES_HALF_PT[clamped] ?? BODY_SIZE_HALF_PT,
-    }),
-  });
-}
-
-function makeListItem(
-  text: string,
-  ordered: boolean,
-  level: number,
-): Paragraph {
-  return new Paragraph({
-    spacing: { after: 80 },
-    children: segmentsToRuns(parseInlineSegments(text)),
-    numbering: ordered
-      ? { reference: "ordered-list", level: Math.min(level, 8) }
-      : undefined,
-    bullet: ordered ? undefined : { level: Math.min(level, 8) },
-  });
-}
-
-function makeCodeParagraph(line: string): Paragraph {
-  return new Paragraph({
-    spacing: { after: 0 },
-    children: [
-      new TextRun({
-        text: sanitizeText(line) || " ",
-        font: MONO_FONT,
-        color: BLACK,
-        size: BODY_SIZE_HALF_PT,
-      }),
-    ],
-  });
-}
-
-function makeQuoteParagraph(text: string): Paragraph {
-  return new Paragraph({
-    indent: { left: 720 },
-    spacing: { after: 120 },
-    children: segmentsToRuns(parseInlineSegments(text), { italics: true }),
-  });
-}
-
-function makeHorizontalRule(): Paragraph {
-  return new Paragraph({
-    alignment: AlignmentType.CENTER,
-    spacing: { before: 120, after: 120 },
-    children: [
-      new TextRun({
-        text: "────────",
-        color: BLACK,
-        font: BODY_FONT,
-        size: BODY_SIZE_HALF_PT,
-      }),
-    ],
-  });
-}
-
-const CELL_BORDER = {
-  style: BorderStyle.SINGLE,
-  size: 4,
-  color: "BFBFBF",
-};
-
-function makeTableCell(
-  text: string,
-  options: { header?: boolean } = {},
-): TableCell {
-  const segments = parseInlineSegments(text);
-  return new TableCell({
-    margins: { top: 80, bottom: 80, left: 100, right: 100 },
-    children: [
-      new Paragraph({
-        spacing: { after: 0 },
-        children: segmentsToRuns(segments, {
-          bold: options.header || undefined,
-          size: BODY_SIZE_HALF_PT,
-        }),
-      }),
-    ],
-  });
-}
-
-function splitTableRow(line: string): string[] {
-  // Strip leading/trailing pipe and any escaped pipes (rare in agent output).
-  const trimmed = line.replace(/^\s*\|/, "").replace(/\|\s*$/, "");
-  return trimmed.split("|").map((cell) => cell.trim());
-}
-
-function buildTable(headerLine: string, bodyLines: string[]): Table {
-  const headerCells = splitTableRow(headerLine);
-  const colCount = headerCells.length;
-  const rows: TableRow[] = [];
-  rows.push(
-    new TableRow({
-      tableHeader: true,
-      children: headerCells.map((cell) =>
-        makeTableCell(cell, { header: true }),
-      ),
-    }),
-  );
-  for (const row of bodyLines) {
-    const cells = splitTableRow(row);
-    // Pad/truncate to match the header column count so Word renders evenly.
-    const normalized = Array.from(
-      { length: colCount },
-      (_, i) => cells[i] ?? "",
-    );
-    rows.push(
-      new TableRow({
-        children: normalized.map((c) => makeTableCell(c)),
-      }),
-    );
-  }
-  return new Table({
-    width: { size: 100, type: WidthType.PERCENTAGE },
-    rows,
-    borders: {
-      top: CELL_BORDER,
-      bottom: CELL_BORDER,
-      left: CELL_BORDER,
-      right: CELL_BORDER,
-      insideHorizontal: CELL_BORDER,
-      insideVertical: CELL_BORDER,
-    },
-  });
-}
-
-function isTableSeparator(line: string): boolean {
-  // e.g. |---|:---:|---:| with optional spaces
-  return /^\s*\|?(\s*:?-{3,}:?\s*\|)+\s*:?-{3,}:?\s*\|?\s*$/.test(line);
-}
-
-function looksLikeTableRow(line: string): boolean {
-  return /^\s*\|.*\|\s*$/.test(line) || /^\s*\|.+/.test(line);
-}
-
-/**
- * Convert markdown text into an array of docx block elements (Paragraph | Table).
- */
-function markdownToBlocks(markdown: string): Array<Paragraph | Table> {
-  const lines = markdown.replace(/\r\n/g, "\n").split("\n");
-  const blocks: Array<Paragraph | Table> = [];
-
-  let inFence = false;
-  let paragraphBuffer: string[] = [];
-
-  const flushParagraph = () => {
-    if (paragraphBuffer.length === 0) return;
-    blocks.push(makeParagraphFromInline(paragraphBuffer.join(" ")));
-    paragraphBuffer = [];
-  };
-
-  for (let i = 0; i < lines.length; i++) {
-    const rawLine = lines[i] ?? "";
-    const line = rawLine.replace(/\t/g, "    ");
-
-    if (line.trim().startsWith("```")) {
-      flushParagraph();
-      inFence = !inFence;
-      continue;
-    }
-    if (inFence) {
-      blocks.push(makeCodeParagraph(line));
-      continue;
-    }
-
-    if (!line.trim()) {
-      flushParagraph();
-      continue;
-    }
-
-    const heading = /^(#{1,6})\s+(.*)$/.exec(line);
-    if (heading) {
-      flushParagraph();
-      blocks.push(
-        makeHeadingParagraph(heading[1]!.length, heading[2]!.trim()),
-      );
-      continue;
-    }
-
-    if (/^(?:---|\*\*\*|___)\s*$/.test(line)) {
-      flushParagraph();
-      blocks.push(makeHorizontalRule());
-      continue;
-    }
-
-    const blockquote = /^>\s?(.*)$/.exec(line);
-    if (blockquote) {
-      flushParagraph();
-      blocks.push(makeQuoteParagraph(blockquote[1] ?? ""));
-      continue;
-    }
-
-    // Table detection — a header row followed by a separator row.
-    if (
-      looksLikeTableRow(line) &&
-      i + 1 < lines.length &&
-      isTableSeparator(lines[i + 1] ?? "")
-    ) {
-      flushParagraph();
-      const headerLine = line;
-      i += 2; // skip header + separator
-      const body: string[] = [];
-      while (i < lines.length && looksLikeTableRow(lines[i] ?? "")) {
-        body.push(lines[i] ?? "");
-        i++;
-      }
-      // Re-step back one so the outer loop's i++ lands on the next unprocessed
-      // line. Without this, blank lines after the table get swallowed.
-      i--;
-      blocks.push(buildTable(headerLine, body));
-      // Word's table rendering eats following spacing; inject a tiny gap.
-      blocks.push(
-        new Paragraph({ spacing: { after: 0 }, children: [new TextRun("")] }),
-      );
-      continue;
-    }
-
-    const orderedItem = /^(\s*)(\d+)\.\s+(.*)$/.exec(line);
-    if (orderedItem) {
-      flushParagraph();
-      const indent = Math.floor(orderedItem[1]!.length / 2);
-      blocks.push(makeListItem(orderedItem[3]!, true, indent));
-      continue;
-    }
-
-    const unorderedItem = /^(\s*)[-*+]\s+(.*)$/.exec(line);
-    if (unorderedItem) {
-      flushParagraph();
-      const indent = Math.floor(unorderedItem[1]!.length / 2);
-      blocks.push(makeListItem(unorderedItem[2]!, false, indent));
-      continue;
-    }
-
-    paragraphBuffer.push(line.trim());
-  }
-
-  flushParagraph();
-  return blocks;
-}
-
-/**
- * Convert a markdown string into a .docx Blob suitable for download.
- */
+/** Ask the Gateway to build a DOCX with its embedded licensed font resource. */
 export async function markdownToDocxBlob(
   markdown: string,
   title?: string,
 ): Promise<Blob> {
-  const children: Array<Paragraph | Table> = [];
-  if (title?.trim()) {
-    children.push(
-      new Paragraph({
-        spacing: { before: 0, after: 240 },
-        children: [
-          new TextRun({
-            text: sanitizeText(title.trim()),
-            bold: true,
-            color: BLACK,
-            font: BODY_FONT,
-            size: 40, // 20pt
-          }),
-        ],
-      }),
-    );
-  }
-  children.push(...markdownToBlocks(markdown));
+  const source = markdown?.trim();
+  if (!source) throw new Error("文档内容为空");
 
-  const doc = new Document({
-    styles: {
-      default: {
-        document: {
-          run: {
-            color: BLACK,
-            font: BODY_FONT,
-            size: BODY_SIZE_HALF_PT,
-          },
-        },
-      },
-    },
-    numbering: {
-      config: [
-        {
-          reference: "ordered-list",
-          levels: [
-            {
-              level: 0,
-              format: "decimal",
-              text: "%1.",
-              alignment: AlignmentType.START,
-            },
-            {
-              level: 1,
-              format: "decimal",
-              text: "%2.",
-              alignment: AlignmentType.START,
-            },
-            {
-              level: 2,
-              format: "decimal",
-              text: "%3.",
-              alignment: AlignmentType.START,
-            },
-          ],
-        },
-      ],
-    },
-    sections: [{ children }],
+  const endpoint = `${getBackendBaseURL()}/api/writing/export/docx`;
+  const response = await apiFetch(endpoint, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({
+      title: title?.trim() || undefined,
+      markdown: source,
+    }),
   });
-  return Packer.toBlob(doc);
+  if (!response.ok) throw await responseError(response);
+
+  const blob = await response.blob();
+  if (blob.size === 0) throw new Error("服务器返回了空的 Word 文件");
+  if (blob.type && blob.type !== DOCX_MEDIA_TYPE) {
+    throw new Error("服务器返回的文件类型不是 Word 文档");
+  }
+  return blob;
 }
 
-/**
- * Trigger a browser download of the markdown source converted to .docx.
- */
+/** Generate and immediately download a formal DOCX. */
 export async function downloadMarkdownAsDocx(
   markdown: string,
   fileName: string,
@@ -488,15 +66,15 @@ export async function downloadMarkdownAsDocx(
   const blob = await markdownToDocxBlob(markdown, title);
   writeYLog({
     optType: OptType.export,
-    optDetail: "CM助手-全量-定时任务-导出",
-    url: "/scheduled-tasks/export/docx",
+    optDetail: "CM助手-Word导出",
+    url: "/api/writing/export/docx",
     reqParam: { fileName, title },
   });
-  const safeName = fileName.replace(/\.(md|markdown)$/i, "") || "document";
+
   const url = URL.createObjectURL(blob);
   const anchor = document.createElement("a");
   anchor.href = url;
-  anchor.download = `${safeName}.docx`;
+  anchor.download = `${sanitizeFilename(fileName)}.docx`;
   anchor.rel = "noopener";
   document.body.appendChild(anchor);
   anchor.click();
diff --git a/frontend-web/src/core/threads/export.ts b/frontend-web/src/core/threads/export.ts
index 40f38f7d..cc9b053e 100644
--- a/frontend-web/src/core/threads/export.ts
+++ b/frontend-web/src/core/threads/export.ts
@@ -144,7 +144,7 @@ export function exportThreadAsJSON(thread: AgentThread, messages: Message[]) {
 /**
  * Export the conversation as a Word document (.docx). The whole thread is
  * serialised to Markdown first (same formatter the `.md` export uses), and
- * then converted to a docx Blob in the browser via `markdownToDocxBlob`.
+ * then sent to the Gateway's shared formal DOCX generator.
  */
 export async function exportThreadAsWord(
   thread: AgentThread,
diff --git a/offline-backend-20260512/backend/CLAUDE.md b/offline-backend-20260512/backend/CLAUDE.md
index 439b41e9..3038a44e 100644
--- a/offline-backend-20260512/backend/CLAUDE.md
+++ b/offline-backend-20260512/backend/CLAUDE.md
@@ -322,6 +322,7 @@ FastAPI application on port 8001 with health checks at `GET|HEAD /health`, `/api
 | **Threads** (`/api/threads/{id}`) | `DELETE /` - remove DeerFlow-managed local thread data after LangGraph thread deletion; unexpected failures are logged server-side and return a generic 500 detail |
 | **Threads search** (`POST /threads/search`, LangGraph-compat) | Conversation listing. **System threads are excluded by default**: rows whose `metadata.system` is truthy (scheduler runs, roundtable workers) never crowd the user's list; a caller whose `metadata` filter explicitly references `thread_type`/`system` (e.g. studio notebooks) opts out of the exclusion. New `query` field = case-insensitive title (`display_name`) substring search, used by the chats page's server-side pagination. `POST /threads/count` takes the same request body (limit/offset ignored) and returns `{total}` under identical filtering/exclusion semantics ? powers the chats page's ??/??? display without fetching rows (`ThreadMetaStore.count`). `ThreadMetaStore.search` gained `exclude_system`/`query` params; JSON-blob filters batch-scan until the requested `limit`/`offset` window is full (so pagination over a heavily-filtered set never under-fills), with a `thread_id` tie-breaker on the `updated_at DESC` ordering for stable OFFSET paging. Tests: `tests/test_thread_meta_search.py` |
 | **Artifacts** (`/api/threads/{id}/artifacts`) | `GET /{path}` - serve artifacts; active content types (`text/html`, `application/xhtml+xml`, `image/svg+xml`) are always forced as download attachments to reduce XSS risk; `?download=true` still forces download for other file types |
+| **Word export** (`POST /api/writing/export/docx`) | Shared Markdown → DOCX generator used by conversation, artifact, scheduled-task, Deep Research, and AI-writing download surfaces. `app/gateway/word_export.py` builds OOXML with no Python conversion dependency: A4 portrait, 3.7/3.5/2.8/2.6 cm margins, real multilevel heading numbering, formal body/table styles, page numbers beginning at 1 with odd pages left-aligned and even pages right-aligned, and embedded `app/gateway/assets/fonts/方正小标宋简体.ttf`. The font loader validates its internal family, SHA-256, and OpenType embedding permission (`OS/2.fsType`) before export. Tests: `tests/test_word_export.py`. |
 | **Deep Research** (`/api/deep-research`) | Durable, user-owned research sessions/jobs with replayable SSE events and hidden-thread artifacts. `basic`/`quick` use the compact runner; `detailed` creates bounded subtopics, searches/writes sections concurrently, and assembles a report; `deep` recursively searches follow-up questions under a deterministic breadth/depth query budget. `multi_agent` is a LangGraph 1.x editor/researcher/writer/reviewer graph: its initial plan emits `awaiting_input`, the recorder stores the interrupt and releases the lease, and `POST /jobs/{id}/resume` rebuilds the graph from the persisted approved/revised plan. A bounded `custom_outline` is frozen into the session; headings/list entries deterministically supply the detailed and multi-agent plan, and the shared writer receives it only as a guarded content constraint. Completed reports support owner-scoped follow-up (`GET /sessions/{id}/messages`, `POST /sessions/{id}/chat`): context is only the current report, selected sources and recent messages; source-id citations are persisted, while `allow_new_research=true` is explicitly rejected. Owners may change that evidence set only after the job stops via `PATCH /sessions/{id}/sources/{source_id}`; this applies to future follow-ups rather than rewriting a completed report. Optional report illustrations are gated by `config.yaml -> deep_research.image_generation`: the Harness `OpenAICompatibleImageProvider` requires base64 output, the shared runner step writes only bounded `research-image-01..04.(png|jpg|webp)` artifacts and Markdown uses private `deep-research://` links. `GET /sessions/{id}/artifacts/{name}` checks session ownership before serving an image; an unavailable provider yields a warning but never fails the text report. Runners live in `packages/harness/deerflow/agents/deep_research/runners/`, may never import `app.*`, and use only the `AdapterBundle`. |
 | **Gateway auth** | Owner-scoped Deep Research routes await the platform's asynchronous `get_current_user` resolver before they read or write persistence, ensuring each session and job operation receives a concrete user ID. Deep Research artifacts are always resolved from a whitelisted filename via `/mnt/user-data/outputs/<name>` before mapping to a host path, preserving the sandbox guard on native Windows and Linux hosts. |
 | **Suggestions** (`/api/threads/{id}/suggestions`) | `POST /` - generate follow-up questions; rich list/block model content is normalized before JSON parsing |
@@ -1340,10 +1341,11 @@ the message-list thought trace, while the sandbox receives answer Markdown
 only. The post-report digest (`summarize_report`) must likewise forward
 provider reasoning through live-only `summary_thinking` frames so the
 chat timeline can render thought while waiting for the first `summary_delta`.
-The Vite
-page owns Word export through
-`frontend-web/src/core/scheduled-tasks/markdown-docx.ts`; do not add Python
-document-conversion dependencies merely to export text.
+The Vite page starts Word downloads through
+`frontend-web/src/core/scheduled-tasks/markdown-docx.ts`, but the Gateway owns
+generation through `POST /api/writing/export/docx`. Keep the standard-library
+OOXML builder and its embedded-font validation; do not add a Python document-
+conversion dependency merely to export text.
 All non-streaming Deep Research control-plane calls (`complete()` for query /
 section / plan / review JSON) run through `asyncio.wait_for` using the frozen
 `DeepResearchConfig.control_plane_timeout_seconds` (45 seconds by default,
diff --git a/offline-backend-20260512/backend/README.md b/offline-backend-20260512/backend/README.md
index ba042b73..ce82a135 100644
--- a/offline-backend-20260512/backend/README.md
+++ b/offline-backend-20260512/backend/README.md
@@ -156,6 +156,7 @@ FastAPI application providing REST endpoints for frontend integration:
 | `GET/POST /api/deep-research/*` | Durable Deep Research sessions and jobs. `quick`/`basic` run the compact report flow; `detailed` plans subtopics and writes independent sections; `deep` recursively investigates bounded follow-up branches. All modes reuse DeerFlow's configured material provider, LLM factory, hidden-thread artifacts, and SSE event log. Deep Research session/job/event/source/message writes serialise their rows in the writer transaction, rather than doing a post-commit ORM refresh or readback; this prevents MySQL read/write-splitting replica lag from failing “start writing”, dispatcher claim, report persistence, or follow-up history. Whole-document artifact/report rewrites likewise create their reversible version snapshots from writer-local ORM data and never refresh after commit, so replica lag cannot restore an otherwise successful rewrite. A report is written to the session and confirmed before its Job becomes `completed`; an unconfirmed write is retried and never exposed as a false completion. Retrying an already-created queued job re-nudges the dispatcher, recovering an interrupted HTTP response without creating a second report. If progress-event persistence, durable replay, or live fan-out is briefly unavailable, the worker/stream logs the degradation and continues or reconnects rather than failing the whole job. Whole-report rewrite accepts an optional `reportOutline` Markdown template; the durable job persists it and applies it as the chapter structure constraint. Optional report illustrations use a separately configured OpenAI-compatible image endpoint and are served only through the owning session's authenticated artifact route. |
 | `/api/enterprise-research/*` | Temporarily disabled. Its router and persistence initialization are not registered, so these endpoints return 404 and no enterprise-research tables are created or migrated during startup. |
 | `POST /api/ai-writing/sample/extract` | Extract text from Word/PDF/Markdown/TXT samples for AI-writing imitation mode |
+| `POST /api/writing/export/docx` | Generate the shared formal Word download from Markdown. Uses the standard-library OOXML builder in `app/gateway/word_export.py`, applies the prescribed A4/margin/heading/body/table/footer profile, and embeds the server-bundled `方正小标宋简体.ttf`; the client computer does not need that font installed. |
 | `POST /cop/saveSuperiorTask` | TaskCOP compatibility API (DeerFlow Bearer/session authentication required): create a situation-overview task with a sequential four-digit id (`0001`, `0002`, ...) and return the legacy `{state, msg, data}` envelope |
 | `POST /api/taskcop/import/tasks` | TaskCOP compatibility API (authenticated): import tasks from a JSON array or `tasks`/`records` envelope; every row's supplied `id`/`taskId` is authoritative and a duplicate id completely replaces the stored task |
 | `DELETE /cop/tasks/{task_id}` | TaskCOP compatibility API (authenticated): delete one task and its task-scoped situation-report document |
@@ -287,9 +288,10 @@ The Deep Research page is a conversation workspace: the original research
 question, observable retrieval steps, completion summary, and report-grounded
 follow-ups appear in chronological order. The report itself is written in the
 adjacent sandbox as `/mnt/user-data/outputs/report.md`, with Word, Markdown,
-and HTML export actions. Word export uses the frontend's existing `docx`
-dependency and includes the collected reference list, without changing backend
-Python dependencies. In chat-collection sessions the report configuration card
+and HTML export actions. Word export calls the shared Gateway
+`POST /api/writing/export/docx` generator, embeds the licensed title font, and
+includes the collected reference list without adding a backend Python package.
+In chat-collection sessions the report configuration card
 shows the unique material count inferred from the collector's visible tool
 results before writing begins. The write lifecycle itself is rendered as
 ordinary workspace message-list tool steps (not a second timeline component),
diff --git a/offline-backend-20260512/backend/app/gateway/assets/fonts/README.md b/offline-backend-20260512/backend/app/gateway/assets/fonts/README.md
new file mode 100644
index 00000000..27d9c64f
--- /dev/null
+++ b/offline-backend-20260512/backend/app/gateway/assets/fonts/README.md
@@ -0,0 +1,11 @@
+# Word 导出字体资源
+
+`方正小标宋简体.ttf` 是 Word 正式格式导出的标题字体，由部署方提供并授权本系统用于文档嵌入。
+
+- 字体家族：方正小标宋简体
+- SHA-256：`C52D577DD3AA719EF5FB9FF2043B7F7CA36FAE468EF34A47628A3A555D006A49`
+- OpenType `OS/2.fsType`：`0x0008`（允许可编辑嵌入）
+
+后端启动后不会把字体安装到操作系统；导出时会将字体以 OOXML 规定的混淆字体部件嵌入 `.docx`。因此下载者电脑无需预装此字体，也不会触发客户端字体回退。
+
+如部署时需要从外部密钥卷提供字体，可设置 `DEERFLOW_WORD_TITLE_FONT_PATH` 指向同一字体文件。后端仍会校验字体内部家族名和嵌入许可。
diff --git a/offline-backend-20260512/backend/app/gateway/assets/fonts/方正小标宋简体.ttf b/offline-backend-20260512/backend/app/gateway/assets/fonts/方正小标宋简体.ttf
new file mode 100644
index 0000000000000000000000000000000000000000..2fe32152fdcaf7084cc79d66e1dda4f2620fc2e0
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ztOa{RgZ*N_cKE*?V;Xq;zu8C2f9&Od^R9{Dvwr`ie;s2U_$<pnbKX(lXEFG6<G}q`
za8Lff_|2nZyF-Scwq_y!-_7Fpy(P6zZ=P65p|1M>n61BU`?p#7+pGV7{`TQBKr7H;
zczi@;dI~NBbZQ2@pXV=$i3ax(;Ofnh-?t&6@cH1Czs?umdoq9T%>2DKdLwX77#%e#
zswQei)Xb<^QM3E~5!o*?Dl$5<Z@;ts&O}X%njSSJYU+Ppjruiea+EP@V$`I5m-=1q
zcOhzQ)VO}9qfGto^gGw@e3ZH0#eN6-9g4C<jgPWMO^C8Z*}+jpgKo8-Bfdm@jrbN(
z2M*gee1v0>$0L6SJ!?;cuC-@D-`ew_bL~aYyY@2ZUVA0-YUH)3IZ=zFmP9R&S`oD}
z3KEqNl@tYyDvT<MDv44?siM?TnkfC2$hxvE5s_SQoQNn#<N<J&`+ocWTmN<Y-sS!K
zEi!@{DTn}PjtFqU8SuD6_?`;-Q_pGD95hD%e$M;r7TKcRe})ke^A;>hh?o-*U3V|y
zLER?Mx%mP3=llKq_17&lzY!543+*(l{fu`JE&n?7rqok!zi;sUzV1!kCh+V7@URP*
z@xM0s{`dF&frsGrSK#4a&wqbY=oaMwXSL9+Zf||B=)a!$&)?tQ0m^Lt^VZM~e%wpr
F{{xzsCr<zX

literal 0
HcmV?d00001

diff --git a/offline-backend-20260512/backend/app/gateway/auth_middleware.py b/offline-backend-20260512/backend/app/gateway/auth_middleware.py
index eabd9bf5..c438d4e5 100644
--- a/offline-backend-20260512/backend/app/gateway/auth_middleware.py
+++ b/offline-backend-20260512/backend/app/gateway/auth_middleware.py
@@ -72,6 +72,8 @@ _PUBLIC_EXACT_PATHS: frozenset[str] = frozenset(
         "/api/v1/auth/initialize",
         # Anonymous vector search over published local Wiki indexes.
         "/api/knowledge/vector-search",
+        # Stateless Markdown -> DOCX conversion; required by public report pages.
+        "/api/writing/export/docx",
         # 并行多智能体面板专用的「绕过常规登录」取 token 端点（内网部署限制了标准登录时用）。
         "/api/parallel-agents/auth/token",
     }
diff --git a/offline-backend-20260512/backend/app/gateway/csrf_middleware.py b/offline-backend-20260512/backend/app/gateway/csrf_middleware.py
index 8aec22a3..b46a42cd 100644
--- a/offline-backend-20260512/backend/app/gateway/csrf_middleware.py
+++ b/offline-backend-20260512/backend/app/gateway/csrf_middleware.py
@@ -4,9 +4,14 @@ Per RFC-001:
 State-changing operations require CSRF protection.
 """
 
-import secrets
-from collections.abc import Callable
-
+import secrets
+from collections.abc import Callable
+
+from fastapi import Request, Response
+from starlette.middleware.base import BaseHTTPMiddleware
+from starlette.responses import JSONResponse
+from starlette.types import ASGIApp
+
 from app.gateway.auth.disabled_mode import is_auth_disabled
 from app.gateway.proxy_path import app_relative_path
 from app.gateway.weknora_embed import (
@@ -14,11 +19,7 @@ from app.gateway.weknora_embed import (
     has_valid_weknora_embed_cookie,
     is_weknora_embed_proxy_path,
 )
-from fastapi import Request, Response
-from starlette.middleware.base import BaseHTTPMiddleware
-from starlette.responses import JSONResponse
-from starlette.types import ASGIApp
-
+
 CSRF_COOKIE_NAME = "csrf_token"
 CSRF_HEADER_NAME = "X-CSRF-Token"
 CSRF_TOKEN_LENGTH = 64  # bytes
@@ -52,6 +53,8 @@ def should_check_csrf(request: Request) -> bool:
         return False
     if stripped == "/api/knowledge/vector-search":
         return False
+    if stripped == "/api/writing/export/docx":
+        return False
     # Anonymous public endpoints (mirror auth_middleware._PUBLIC_PATH_PREFIXES).
     # These intentionally have no cookie session, so the Double-Submit Cookie
     # pattern is both impossible (no token to compare) and unnecessary (no
diff --git a/offline-backend-20260512/backend/app/gateway/routers/writing.py b/offline-backend-20260512/backend/app/gateway/routers/writing.py
index aca0184a..02cc0247 100644
--- a/offline-backend-20260512/backend/app/gateway/routers/writing.py
+++ b/offline-backend-20260512/backend/app/gateway/routers/writing.py
@@ -15,11 +15,13 @@ import hashlib
 import json
 import logging
 import os
+import re
 import uuid
 from pathlib import Path
+from urllib.parse import quote
 
 from fastapi import APIRouter, Depends, HTTPException, Query, Request
-from fastapi.responses import StreamingResponse
+from fastapi.responses import Response, StreamingResponse
 from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
 from pydantic import BaseModel, Field
 
@@ -57,6 +59,12 @@ from app.gateway.document_rewrite_pipeline import (
 )
 from app.gateway.document_rewrite_summary import build_document_rewrite_summary
 from app.gateway.path_utils import aresolve_thread_virtual_path
+from app.gateway.word_export import (
+    DOCX_MEDIA_TYPE,
+    WordExportError,
+    WordExportFontError,
+    build_markdown_docx,
+)
 from deerflow.config.app_config import AppConfig
 from deerflow.models import create_chat_model
 from deerflow.utils.stream_text import InlineThinkTagFilter
@@ -130,6 +138,13 @@ class RewriteRequest(BaseModel):
     model_config = {"populate_by_name": True}
 
 
+class MarkdownDocxExportRequest(BaseModel):
+    """Markdown source for the server-rendered formal Word download."""
+
+    title: str | None = Field(default=None, max_length=300)
+    markdown: str = Field(..., min_length=1, max_length=2_000_000)
+
+
 class DocumentRewriteRequest(BaseModel):
     """Request for a complete Markdown artifact rewrite.
 
@@ -363,6 +378,40 @@ def build_rewrite_messages(body: RewriteRequest) -> tuple[str, list]:
 # ── Endpoint ──────────────────────────────────────────────────────────────────
 
 
+@router.post(
+    "/export/docx",
+    summary="Export Markdown as a formally formatted Word document",
+    response_class=Response,
+)
+async def export_markdown_docx(body: MarkdownDocxExportRequest) -> Response:
+    """Generate DOCX on the server and embed the required title font.
+
+    This route is intentionally usable by both authenticated workspaces and
+    public scheduled-task pages. It performs no external fetches and does not
+    persist the supplied Markdown.
+    """
+    try:
+        content = await asyncio.to_thread(build_markdown_docx, body.markdown, body.title)
+    except WordExportFontError as exc:
+        raise HTTPException(status_code=503, detail=str(exc)) from exc
+    except WordExportError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    fallback_name = (body.title or "document").strip() or "document"
+    fallback_name = re.sub(r'[<>:"/\\|?*\x00-\x1f]+', "_", fallback_name).strip(" .")[:120] or "document"
+    filename = f"{fallback_name}.docx"
+    return Response(
+        content=content,
+        media_type=DOCX_MEDIA_TYPE,
+        headers={
+            "Content-Disposition": (
+                f'attachment; filename="document.docx"; filename*=UTF-8\'\'{quote(filename, safe="")}'
+            ),
+            "Cache-Control": "no-store",
+        },
+    )
+
+
 @router.post("/document-rewrite/jobs")
 @require_permission("threads", "write", owner_check=True)
 async def start_durable_document_rewrite_job(
diff --git a/offline-backend-20260512/backend/app/gateway/word_export.py b/offline-backend-20260512/backend/app/gateway/word_export.py
new file mode 100644
index 00000000..eb164d57
--- /dev/null
+++ b/offline-backend-20260512/backend/app/gateway/word_export.py
@@ -0,0 +1,994 @@
+"""Deterministic Markdown -> DOCX export with an embedded title font.
+
+The implementation intentionally uses Python's standard library only.  It
+builds the small set of OOXML parts required by Word instead of depending on a
+desktop Office installation or a document-conversion service.  The bundled
+方正小标宋简体 font is validated and embedded according to ECMA-376 so the
+recipient's computer does not need the font installed.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import io
+import os
+import re
+import struct
+import uuid
+import zipfile
+from dataclasses import dataclass
+from datetime import UTC, datetime
+from pathlib import Path
+from xml.sax.saxutils import escape
+
+DOCX_MEDIA_TYPE = "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
+
+TITLE_FONT_FAMILY = "方正小标宋简体"
+BODY_FONT_FAMILY = "仿宋"
+HEADING_1_FONT_FAMILY = "黑体"
+HEADING_2_FONT_FAMILY = "楷体"
+TABLE_FONT_FAMILY = "宋体"
+
+TITLE_SIZE_HALF_POINTS = 44  # 二号 / 22 pt
+BODY_SIZE_HALF_POINTS = 32  # 三号 / 16 pt
+TABLE_SIZE_HALF_POINTS = 28  # 四号 / 14 pt
+EXACT_LINE_TWIPS = 579  # 28.95 pt * 20
+
+A4_WIDTH_TWIPS = 11_906
+A4_HEIGHT_TWIPS = 16_838
+MARGIN_TOP_TWIPS = 2_098  # 3.7 cm
+MARGIN_BOTTOM_TWIPS = 1_984  # 3.5 cm
+MARGIN_LEFT_TWIPS = 1_587  # 2.8 cm
+MARGIN_RIGHT_TWIPS = 1_474  # 2.6 cm
+CONTENT_WIDTH_TWIPS = A4_WIDTH_TWIPS - MARGIN_LEFT_TWIPS - MARGIN_RIGHT_TWIPS
+
+_XML_DECL = '<?xml version="1.0" encoding="UTF-8" standalone="yes"?>'
+_W_NS = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
+_R_NS = "http://schemas.openxmlformats.org/officeDocument/2006/relationships"
+_PACKAGE_REL_NS = "http://schemas.openxmlformats.org/package/2006/relationships"
+
+_FONT_DIR = Path(__file__).resolve().parent / "assets" / "fonts"
+_BUNDLED_FONT_PATH = _FONT_DIR / "方正小标宋简体.ttf"
+_BUNDLED_FONT_SHA256 = "C52D577DD3AA719EF5FB9FF2043B7F7CA36FAE468EF34A47628A3A555D006A49"
+
+
+class WordExportError(RuntimeError):
+    """Base error returned to the Word export API."""
+
+
+class WordExportFontError(WordExportError):
+    """The required server-side font is missing, invalid, or not embeddable."""
+
+
+@dataclass(slots=True)
+class FontAsset:
+    data: bytes
+    path: Path
+    names: frozenset[str]
+    fs_type: int
+    sha256: str
+
+
+@dataclass(slots=True)
+class ParagraphBlock:
+    kind: str
+    text: str
+    level: int = 0
+
+
+@dataclass(slots=True)
+class TableBlock:
+    header: list[str]
+    rows: list[list[str]]
+
+
+Block = ParagraphBlock | TableBlock
+
+
+def _safe_xml_text(value: str) -> str:
+    """Remove XML-illegal controls and invisible Word-breaking selectors."""
+    value = re.sub(r"[\u0000-\u0008\u000b\u000c\u000e-\u001f]", "", value)
+    value = re.sub(r"[\u200b-\u200d\ufeff\ufe00-\ufe0f]", "", value)
+    value = value.replace("\u00ad", "").replace("\ufffc", "")
+    value = re.sub(r"</?(?:details|summary)\b[^>]*>", "", value, flags=re.I)
+    return value
+
+
+def _xml_attr(value: str) -> str:
+    return escape(_safe_xml_text(value), {'"': "&quot;", "'": "&apos;"})
+
+
+def _decode_name_record(platform_id: int, raw: bytes) -> str | None:
+    try:
+        if platform_id in {0, 3}:
+            return raw.decode("utf-16-be").strip("\x00")
+        if platform_id == 1:
+            return raw.decode("mac_roman").strip("\x00")
+    except (UnicodeDecodeError, LookupError):
+        return None
+    return None
+
+
+def _read_sfnt_metadata(data: bytes) -> tuple[frozenset[str], int]:
+    if len(data) < 12:
+        raise WordExportFontError("Word 标题字体文件不是有效的 OpenType/TrueType 字体。")
+    try:
+        table_count = struct.unpack_from(">H", data, 4)[0]
+        tables: dict[str, tuple[int, int]] = {}
+        for index in range(table_count):
+            position = 12 + index * 16
+            tag, _checksum, offset, length = struct.unpack_from(">4sIII", data, position)
+            tag_text = tag.decode("latin-1")
+            if offset + length > len(data):
+                raise WordExportFontError("Word 标题字体的表目录已损坏。")
+            tables[tag_text] = (offset, length)
+
+        if "OS/2" not in tables or "name" not in tables:
+            raise WordExportFontError("Word 标题字体缺少 OS/2 或 name 元数据表。")
+
+        os2_offset, os2_length = tables["OS/2"]
+        if os2_length < 10:
+            raise WordExportFontError("Word 标题字体的 OS/2 元数据无效。")
+        fs_type = struct.unpack_from(">H", data, os2_offset + 8)[0]
+
+        name_offset, name_length = tables["name"]
+        if name_length < 6:
+            raise WordExportFontError("Word 标题字体的 name 元数据无效。")
+        name_count, string_offset = struct.unpack_from(">HH", data, name_offset + 2)
+        names: set[str] = set()
+        for index in range(name_count):
+            record_offset = name_offset + 6 + index * 12
+            if record_offset + 12 > name_offset + name_length:
+                break
+            platform_id, _encoding, _language, name_id, length, offset = struct.unpack_from(
+                ">HHHHHH", data, record_offset
+            )
+            if name_id not in {1, 4, 6}:
+                continue
+            value_start = name_offset + string_offset + offset
+            value_end = value_start + length
+            if value_end > name_offset + name_length:
+                continue
+            decoded = _decode_name_record(platform_id, data[value_start:value_end])
+            if decoded:
+                names.add(decoded)
+        return frozenset(names), fs_type
+    except struct.error as exc:
+        raise WordExportFontError("Word 标题字体文件结构不完整。") from exc
+
+
+def resolve_title_font_path() -> Path:
+    configured = os.getenv("DEERFLOW_WORD_TITLE_FONT_PATH", "").strip()
+    return Path(configured).expanduser() if configured else _BUNDLED_FONT_PATH
+
+
+def load_title_font(path: Path | None = None) -> FontAsset:
+    font_path = (path or resolve_title_font_path()).resolve()
+    if not font_path.is_file():
+        raise WordExportFontError(
+            f"服务器缺少“{TITLE_FONT_FAMILY}”字体资源：{font_path}。"
+            "请将已授权字体放入后端字体目录后再导出。"
+        )
+    data = font_path.read_bytes()
+    if not data or len(data) > 25 * 1024 * 1024:
+        raise WordExportFontError("Word 标题字体文件为空或超过 25 MB 限制。")
+
+    names, fs_type = _read_sfnt_metadata(data)
+    accepted_name = TITLE_FONT_FAMILY in names or any("FZXiaoBiaoSong" in name for name in names)
+    if not accepted_name:
+        readable_names = "、".join(sorted(names)[:6]) or "无法读取"
+        raise WordExportFontError(
+            f"服务器字体不是“{TITLE_FONT_FAMILY}”（检测到：{readable_names}），已阻止导出。"
+        )
+    if fs_type & 0x0002:
+        raise WordExportFontError(f"“{TITLE_FONT_FAMILY}”授权标志禁止文档嵌入，已阻止导出。")
+    if fs_type & 0x0200:
+        raise WordExportFontError(f"“{TITLE_FONT_FAMILY}”仅允许位图嵌入，不能用于本次 Word 导出。")
+
+    digest = hashlib.sha256(data).hexdigest().upper()
+    if font_path == _BUNDLED_FONT_PATH.resolve() and digest != _BUNDLED_FONT_SHA256:
+        raise WordExportFontError("代码仓库中的 Word 标题字体校验和不匹配，已阻止导出。")
+    return FontAsset(data=data, path=font_path, names=names, fs_type=fs_type, sha256=digest)
+
+
+def _obfuscate_font(data: bytes, font_key: str) -> bytes:
+    """Apply the ECMA-376 ODTTF XOR obfuscation to the first 32 bytes."""
+    key_hex = font_key.replace("-", "")
+    if len(key_hex) != 32:
+        raise WordExportFontError("生成 Word 嵌入字体密钥失败。")
+    key = bytes.fromhex(key_hex)[::-1]
+    output = bytearray(data)
+    for index in range(min(32, len(output))):
+        output[index] ^= key[index % len(key)]
+    return bytes(output)
+
+
+def _strip_inline_markdown(text: str) -> str:
+    text = _safe_xml_text(text)
+    text = re.sub(r"^\s*#+\s*", "", text)
+    text = re.sub(r"!\[([^\]]*)\]\([^)]*\)", r"\1", text)
+    text = re.sub(r"\[([^\]]+)\]\([^)]*\)", r"\1", text)
+    text = re.sub(r"(?:\*\*|__)(.*?)(?:\*\*|__)", r"\1", text)
+    return re.sub(r"[`*_~]", "", text).strip()
+
+
+def _strip_manual_heading_number(text: str) -> str:
+    return re.sub(
+        r"^\s*(?:[一二三四五六七八九十百千]+、|[（(][一二三四五六七八九十百千]+[）)]|\d+[.、]|[（(]\d+[）)]|\d+[）)])\s*",
+        "",
+        text,
+    ).strip()
+
+
+def _split_table_row(line: str) -> list[str]:
+    value = re.sub(r"^\s*\|", "", line)
+    value = re.sub(r"\|\s*$", "", value)
+    return [part.replace(r"\|", "|").strip() for part in re.split(r"(?<!\\)\|", value)]
+
+
+def _is_table_separator(line: str) -> bool:
+    cells = _split_table_row(line)
+    return bool(cells) and all(re.fullmatch(r":?-{3,}:?", cell.replace(" ", "")) for cell in cells)
+
+
+def _looks_like_table_row(line: str) -> bool:
+    return bool(re.match(r"^\s*\|.+", line))
+
+
+def _is_table_caption(text: str) -> bool:
+    return bool(re.match(r"^\s*表\s*(?:\d+|[一二三四五六七八九十百]+|[：:])", _strip_inline_markdown(text)))
+
+
+def _extract_title(markdown: str, explicit_title: str | None) -> tuple[str | None, list[str]]:
+    lines = markdown.replace("\r\n", "\n").replace("\r", "\n").split("\n")
+    in_fence = False
+    for index, line in enumerate(lines):
+        if line.strip().startswith("```"):
+            in_fence = not in_fence
+            continue
+        if not in_fence:
+            match = re.match(r"^#\s+(.+)$", line)
+            if match:
+                del lines[index]
+                return _strip_inline_markdown(match.group(1)) or (explicit_title or "").strip() or None, lines
+    return (explicit_title or "").strip() or None, lines
+
+
+def _parse_markdown(markdown: str, explicit_title: str | None) -> tuple[str | None, list[Block]]:
+    title, lines = _extract_title(markdown, explicit_title)
+    blocks: list[Block] = []
+    paragraph_buffer: list[str] = []
+    in_fence = False
+
+    def flush_paragraph() -> None:
+        if paragraph_buffer:
+            blocks.append(ParagraphBlock("body", " ".join(paragraph_buffer)))
+            paragraph_buffer.clear()
+
+    index = 0
+    while index < len(lines):
+        raw = lines[index].replace("\t", "    ")
+        if raw.strip().startswith("```"):
+            flush_paragraph()
+            in_fence = not in_fence
+            index += 1
+            continue
+        if in_fence:
+            blocks.append(ParagraphBlock("code", raw or " "))
+            index += 1
+            continue
+        if not raw.strip():
+            flush_paragraph()
+            index += 1
+            continue
+
+        heading = re.match(r"^(#{1,6})\s+(.+)$", raw)
+        if heading:
+            flush_paragraph()
+            markdown_level = max(2, len(heading.group(1)))
+            section_level = max(0, min(markdown_level - 2, 4))
+            blocks.append(ParagraphBlock("heading", _strip_manual_heading_number(heading.group(2)), section_level))
+            index += 1
+            continue
+
+        if _looks_like_table_row(raw) and index + 1 < len(lines) and _is_table_separator(lines[index + 1]):
+            caption: str | None = None
+            if paragraph_buffer and _is_table_caption(paragraph_buffer[-1]):
+                caption = paragraph_buffer.pop()
+            flush_paragraph()
+            if caption:
+                blocks.append(ParagraphBlock("table_caption", caption))
+            header = _split_table_row(raw)
+            index += 2
+            rows: list[list[str]] = []
+            while index < len(lines) and _looks_like_table_row(lines[index]):
+                rows.append(_split_table_row(lines[index]))
+                index += 1
+            blocks.append(TableBlock(header, rows))
+            continue
+
+        image = re.match(r'^\s*!\[([^\]]*)\]\(([^)\s]+)(?:\s+["\'][^"\']*["\'])?\)\s*$', raw)
+        if image:
+            flush_paragraph()
+            alt = image.group(1).strip() or "未命名图片"
+            blocks.append(ParagraphBlock("image", f"图片：{alt}|{image.group(2)}"))
+            index += 1
+            continue
+
+        quote = re.match(r"^>\s?(.*)$", raw)
+        if quote:
+            flush_paragraph()
+            blocks.append(ParagraphBlock("quote", quote.group(1)))
+            index += 1
+            continue
+
+        ordered = re.match(r"^(\s*)(\d+)[.)、]\s+(.+)$", raw)
+        if ordered:
+            flush_paragraph()
+            blocks.append(ParagraphBlock("ordered_list", ordered.group(3), min(len(ordered.group(1)) // 2, 8)))
+            index += 1
+            continue
+
+        unordered = re.match(r"^(\s*)[-*+]\s+(.+)$", raw)
+        if unordered:
+            flush_paragraph()
+            blocks.append(ParagraphBlock("unordered_list", unordered.group(2), min(len(unordered.group(1)) // 2, 8)))
+            index += 1
+            continue
+
+        if re.fullmatch(r"\s*(?:---|\*\*\*|___)\s*", raw):
+            flush_paragraph()
+            blocks.append(ParagraphBlock("horizontal_rule", "────────"))
+            index += 1
+            continue
+
+        paragraph_buffer.append(raw.strip())
+        index += 1
+
+    flush_paragraph()
+    return title, blocks
+
+
+class _DocumentRelationships:
+    def __init__(self) -> None:
+        self._hyperlinks: list[tuple[str, str]] = []
+
+    def add_hyperlink(self, target: str) -> str:
+        relation_id = f"rId{100 + len(self._hyperlinks)}"
+        self._hyperlinks.append((relation_id, target))
+        return relation_id
+
+    def xml(self) -> str:
+        fixed = [
+            ("rId1", "http://schemas.openxmlformats.org/officeDocument/2006/relationships/styles", "styles.xml"),
+            ("rId2", "http://schemas.openxmlformats.org/officeDocument/2006/relationships/numbering", "numbering.xml"),
+            ("rId3", "http://schemas.openxmlformats.org/officeDocument/2006/relationships/settings", "settings.xml"),
+            ("rId4", "http://schemas.openxmlformats.org/officeDocument/2006/relationships/fontTable", "fontTable.xml"),
+            ("rId5", "http://schemas.openxmlformats.org/officeDocument/2006/relationships/footer", "footer1.xml"),
+            ("rId6", "http://schemas.openxmlformats.org/officeDocument/2006/relationships/footer", "footer2.xml"),
+        ]
+        relationships = "".join(
+            f'<Relationship Id="{relation_id}" Type="{rel_type}" Target="{target}"/>'
+            for relation_id, rel_type, target in fixed
+        )
+        relationships += "".join(
+            f'<Relationship Id="{relation_id}" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/hyperlink" Target="{_xml_attr(target)}" TargetMode="External"/>'
+            for relation_id, target in self._hyperlinks
+        )
+        return f'{_XML_DECL}<Relationships xmlns="{_PACKAGE_REL_NS}">{relationships}</Relationships>'
+
+
+_INLINE_PATTERN = re.compile(
+    r"\[([^\]]+)\]\(([^)\s]+)(?:\s+[\"\'][^\"\']*[\"\'])?\)|(`+)([^`]+)\3|\*\*([^*]+)\*\*|__([^_]+)__|\*([^*]+)\*|_([^_]+)_"
+)
+
+
+def _run_xml(
+    text: str,
+    *,
+    font: str = BODY_FONT_FAMILY,
+    size: int = BODY_SIZE_HALF_POINTS,
+    bold: bool = False,
+    italic: bool = False,
+    underline: bool = False,
+) -> str:
+    text = _safe_xml_text(text)
+    preserve = text.startswith(" ") or text.endswith(" ") or "  " in text
+    properties = (
+        f'<w:rFonts w:ascii="{_xml_attr(font)}" w:hAnsi="{_xml_attr(font)}" '
+        f'w:eastAsia="{_xml_attr(font)}" w:cs="{_xml_attr(font)}"/>'
+        '<w:color w:val="000000"/>'
+        f'<w:sz w:val="{size}"/><w:szCs w:val="{size}"/>'
+    )
+    if bold:
+        properties += "<w:b/><w:bCs/>"
+    if italic:
+        properties += "<w:i/><w:iCs/>"
+    if underline:
+        properties += '<w:u w:val="single"/>'
+    space = ' xml:space="preserve"' if preserve else ""
+    return f"<w:r><w:rPr>{properties}</w:rPr><w:t{space}>{escape(text)}</w:t></w:r>"
+
+
+def _inline_xml(
+    text: str,
+    relationships: _DocumentRelationships,
+    *,
+    font: str = BODY_FONT_FAMILY,
+    size: int = BODY_SIZE_HALF_POINTS,
+) -> str:
+    cleaned = _safe_xml_text(text)
+    output: list[str] = []
+    cursor = 0
+    for match in _INLINE_PATTERN.finditer(cleaned):
+        if match.start() > cursor:
+            output.append(_run_xml(cleaned[cursor : match.start()], font=font, size=size))
+        if match.group(1) is not None and match.group(2) is not None:
+            relation_id = relationships.add_hyperlink(match.group(2))
+            output.append(
+                f'<w:hyperlink r:id="{relation_id}" w:history="1">'
+                f'{_run_xml(match.group(1), font=font, size=size, underline=True)}</w:hyperlink>'
+            )
+        elif match.group(4) is not None:
+            output.append(_run_xml(match.group(4), font=font, size=size))
+        elif match.group(5) is not None:
+            output.append(_run_xml(match.group(5), font=font, size=size, bold=True))
+        elif match.group(6) is not None:
+            output.append(_run_xml(match.group(6), font=font, size=size, bold=True))
+        elif match.group(7) is not None:
+            output.append(_run_xml(match.group(7), font=font, size=size, italic=True))
+        elif match.group(8) is not None:
+            output.append(_run_xml(match.group(8), font=font, size=size, italic=True))
+        cursor = match.end()
+    if cursor < len(cleaned):
+        output.append(_run_xml(cleaned[cursor:], font=font, size=size))
+    return "".join(output) or _run_xml(" ", font=font, size=size)
+
+
+def _paragraph_xml(
+    style: str,
+    children: str,
+    *,
+    numbering_level: int | None = None,
+    numbering_id: int = 1,
+    keep_next: bool = False,
+    alignment: str | None = None,
+) -> str:
+    properties = f'<w:pStyle w:val="{style}"/>'
+    if numbering_level is not None:
+        properties += (
+            f'<w:numPr><w:ilvl w:val="{numbering_level}"/><w:numId w:val="{numbering_id}"/></w:numPr>'
+        )
+    if keep_next:
+        properties += "<w:keepNext/>"
+    if alignment:
+        properties += f'<w:jc w:val="{alignment}"/>'
+    return f"<w:p><w:pPr>{properties}</w:pPr>{children}</w:p>"
+
+
+def _image_paragraph_xml(text: str, relationships: _DocumentRelationships) -> str:
+    label, _, target = text.partition("|")
+    children = _run_xml(label)
+    if target:
+        relation_id = relationships.add_hyperlink(target)
+        children += (
+            f'<w:hyperlink r:id="{relation_id}" w:history="1">'
+            f'{_run_xml(f"（{target}）", underline=True)}</w:hyperlink>'
+        )
+    return _paragraph_xml("ImageCaption", children, alignment="center")
+
+
+def _cell_xml(text: str, width: int, relationships: _DocumentRelationships, *, header: bool) -> str:
+    style = "TableHeader" if header else "TableBody"
+    paragraph = _paragraph_xml(
+        style,
+        _inline_xml(text, relationships, font=TABLE_FONT_FAMILY, size=TABLE_SIZE_HALF_POINTS),
+    )
+    return (
+        "<w:tc>"
+        f'<w:tcPr><w:tcW w:w="{width}" w:type="dxa"/><w:vAlign w:val="center"/>'
+        '<w:tcMar><w:top w:w="80" w:type="dxa"/><w:left w:w="100" w:type="dxa"/>'
+        '<w:bottom w:w="80" w:type="dxa"/><w:right w:w="100" w:type="dxa"/></w:tcMar></w:tcPr>'
+        f"{paragraph}</w:tc>"
+    )
+
+
+def _table_xml(block: TableBlock, relationships: _DocumentRelationships) -> str:
+    column_count = max(1, len(block.header))
+    base_width = CONTENT_WIDTH_TWIPS // column_count
+    widths = [base_width] * column_count
+    widths[-1] = CONTENT_WIDTH_TWIPS - base_width * (column_count - 1)
+    grid = "".join(f'<w:gridCol w:w="{width}"/>' for width in widths)
+    border = (
+        '<w:top w:val="single" w:sz="4" w:color="000000"/>'
+        '<w:left w:val="single" w:sz="4" w:color="000000"/>'
+        '<w:bottom w:val="single" w:sz="4" w:color="000000"/>'
+        '<w:right w:val="single" w:sz="4" w:color="000000"/>'
+        '<w:insideH w:val="single" w:sz="4" w:color="000000"/>'
+        '<w:insideV w:val="single" w:sz="4" w:color="000000"/>'
+    )
+    properties = (
+        f'<w:tblPr><w:tblW w:w="{CONTENT_WIDTH_TWIPS}" w:type="dxa"/>'
+        '<w:jc w:val="center"/><w:tblLayout w:type="fixed"/>'
+        f"<w:tblBorders>{border}</w:tblBorders></w:tblPr>"
+    )
+
+    header = list(block.header[:column_count]) + [""] * max(0, column_count - len(block.header))
+    header_cells = "".join(
+        _cell_xml(header[index], widths[index], relationships, header=True) for index in range(column_count)
+    )
+    rows = [f"<w:tr><w:trPr><w:tblHeader/><w:cantSplit/></w:trPr>{header_cells}</w:tr>"]
+    for source_row in block.rows:
+        normalized = list(source_row[:column_count]) + [""] * max(0, column_count - len(source_row))
+        cells = "".join(
+            _cell_xml(normalized[index], widths[index], relationships, header=False)
+            for index in range(column_count)
+        )
+        rows.append(f"<w:tr><w:trPr><w:cantSplit/></w:trPr>{cells}</w:tr>")
+    return f"<w:tbl>{properties}<w:tblGrid>{grid}</w:tblGrid>{''.join(rows)}</w:tbl>"
+
+
+def _blocks_xml(blocks: list[Block], relationships: _DocumentRelationships) -> str:
+    output: list[str] = []
+    for block in blocks:
+        if isinstance(block, TableBlock):
+            output.append(_table_xml(block, relationships))
+            continue
+        if block.kind == "heading":
+            style = f"Heading{block.level + 1}"
+            font = (
+                HEADING_1_FONT_FAMILY
+                if block.level == 0
+                else HEADING_2_FONT_FAMILY
+                if block.level == 1
+                else BODY_FONT_FAMILY
+            )
+            output.append(
+                _paragraph_xml(
+                    style,
+                    _inline_xml(block.text, relationships, font=font),
+                    numbering_level=block.level,
+                    numbering_id=1,
+                    keep_next=True,
+                )
+            )
+        elif block.kind == "table_caption":
+            output.append(
+                _paragraph_xml(
+                    "TableCaption",
+                    _inline_xml(block.text, relationships, font=HEADING_1_FONT_FAMILY, size=TABLE_SIZE_HALF_POINTS),
+                    keep_next=True,
+                )
+            )
+        elif block.kind == "ordered_list":
+            output.append(
+                _paragraph_xml(
+                    "ListText",
+                    _inline_xml(block.text, relationships),
+                    numbering_level=block.level,
+                    numbering_id=2,
+                )
+            )
+        elif block.kind == "unordered_list":
+            output.append(
+                _paragraph_xml(
+                    "ListText",
+                    _inline_xml(block.text, relationships),
+                    numbering_level=block.level,
+                    numbering_id=3,
+                )
+            )
+        elif block.kind == "code":
+            output.append(_paragraph_xml("CodeText", _run_xml(block.text)))
+        elif block.kind == "quote":
+            output.append(_paragraph_xml("QuoteText", _inline_xml(block.text, relationships)))
+        elif block.kind == "image":
+            output.append(_image_paragraph_xml(block.text, relationships))
+        elif block.kind == "horizontal_rule":
+            output.append(_paragraph_xml("BodyText", _run_xml(block.text), alignment="center"))
+        else:
+            output.append(_paragraph_xml("BodyText", _inline_xml(block.text, relationships)))
+    return "".join(output)
+
+
+def _font_run_properties(font: str, size: int, *, bold: bool = False) -> str:
+    value = (
+        f'<w:rFonts w:ascii="{_xml_attr(font)}" w:hAnsi="{_xml_attr(font)}" '
+        f'w:eastAsia="{_xml_attr(font)}" w:cs="{_xml_attr(font)}"/>'
+        '<w:color w:val="000000"/>'
+        f'<w:sz w:val="{size}"/><w:szCs w:val="{size}"/>'
+    )
+    return value + ("<w:b/><w:bCs/>" if bold else '<w:b w:val="0"/><w:bCs w:val="0"/>')
+
+
+def _style_xml(
+    style_id: str,
+    name: str,
+    *,
+    font: str,
+    size: int,
+    based_on: str | None = "Normal",
+    next_style: str = "BodyText",
+    alignment: str = "both",
+    first_line_chars: int = 0,
+    left: int = 0,
+    hanging: int = 0,
+    keep_next: bool = False,
+    keep_lines: bool = False,
+    outline_level: int | None = None,
+    bold: bool = False,
+) -> str:
+    paragraph = (
+        f'<w:jc w:val="{alignment}"/><w:spacing w:before="0" w:after="0" '
+        f'w:line="{EXACT_LINE_TWIPS}" w:lineRule="exact"/>'
+        f'<w:ind w:left="{left}" w:hanging="{hanging}" w:firstLineChars="{first_line_chars}"/>'
+    )
+    if keep_next:
+        paragraph += "<w:keepNext/>"
+    if keep_lines:
+        paragraph += "<w:keepLines/>"
+    if outline_level is not None:
+        paragraph += f'<w:outlineLvl w:val="{outline_level}"/>'
+    based_on_xml = f'<w:basedOn w:val="{based_on}"/>' if based_on else ""
+    return (
+        f'<w:style w:type="paragraph" w:styleId="{style_id}"><w:name w:val="{_xml_attr(name)}"/>'
+        f'{based_on_xml}<w:next w:val="{next_style}"/><w:qFormat/>'
+        f"<w:pPr>{paragraph}</w:pPr><w:rPr>{_font_run_properties(font, size, bold=bold)}</w:rPr></w:style>"
+    )
+
+
+def _styles_xml() -> str:
+    defaults = (
+        "<w:docDefaults><w:rPrDefault><w:rPr>"
+        f"{_font_run_properties(BODY_FONT_FAMILY, BODY_SIZE_HALF_POINTS)}"
+        '<w:lang w:val="zh-CN" w:eastAsia="zh-CN"/></w:rPr></w:rPrDefault>'
+        '<w:pPrDefault><w:pPr><w:jc w:val="both"/>'
+        f'<w:spacing w:before="0" w:after="0" w:line="{EXACT_LINE_TWIPS}" w:lineRule="exact"/>'
+        '<w:ind w:firstLineChars="200"/></w:pPr></w:pPrDefault></w:docDefaults>'
+    )
+    styles = [
+        _style_xml(
+            "Normal",
+            "Normal",
+            font=BODY_FONT_FAMILY,
+            size=BODY_SIZE_HALF_POINTS,
+            based_on=None,
+            next_style="BodyText",
+            first_line_chars=200,
+        ),
+        _style_xml(
+            "DocumentTitle",
+            "Document Title",
+            font=TITLE_FONT_FAMILY,
+            size=TITLE_SIZE_HALF_POINTS,
+            alignment="center",
+            keep_next=True,
+        ),
+        _style_xml(
+            "BodyText",
+            "Body Text",
+            font=BODY_FONT_FAMILY,
+            size=BODY_SIZE_HALF_POINTS,
+            first_line_chars=200,
+        ),
+        _style_xml(
+            "Heading1",
+            "heading 1",
+            font=HEADING_1_FONT_FAMILY,
+            size=BODY_SIZE_HALF_POINTS,
+            alignment="left",
+            keep_next=True,
+            keep_lines=True,
+            outline_level=0,
+        ),
+        _style_xml(
+            "Heading2",
+            "heading 2",
+            font=HEADING_2_FONT_FAMILY,
+            size=BODY_SIZE_HALF_POINTS,
+            alignment="left",
+            keep_next=True,
+            keep_lines=True,
+            outline_level=1,
+        ),
+    ]
+    for level in range(3, 6):
+        styles.append(
+            _style_xml(
+                f"Heading{level}",
+                f"heading {level}",
+                font=BODY_FONT_FAMILY,
+                size=BODY_SIZE_HALF_POINTS,
+                alignment="left",
+                keep_next=True,
+                keep_lines=True,
+                outline_level=level - 1,
+            )
+        )
+    styles.extend(
+        [
+            _style_xml(
+                "ListText",
+                "List Text",
+                font=BODY_FONT_FAMILY,
+                size=BODY_SIZE_HALF_POINTS,
+                alignment="both",
+            ),
+            _style_xml(
+                "QuoteText",
+                "Quote Text",
+                font=BODY_FONT_FAMILY,
+                size=BODY_SIZE_HALF_POINTS,
+                alignment="both",
+                first_line_chars=200,
+                left=640,
+            ),
+            _style_xml(
+                "CodeText",
+                "Code Text",
+                font=BODY_FONT_FAMILY,
+                size=BODY_SIZE_HALF_POINTS,
+                alignment="left",
+            ),
+            _style_xml(
+                "TableCaption",
+                "Table Caption",
+                font=HEADING_1_FONT_FAMILY,
+                size=TABLE_SIZE_HALF_POINTS,
+                alignment="center",
+                keep_next=True,
+            ),
+            _style_xml(
+                "TableHeader",
+                "Table Header",
+                font=TABLE_FONT_FAMILY,
+                size=TABLE_SIZE_HALF_POINTS,
+                alignment="center",
+                keep_lines=True,
+            ),
+            _style_xml(
+                "TableBody",
+                "Table Body",
+                font=TABLE_FONT_FAMILY,
+                size=TABLE_SIZE_HALF_POINTS,
+                alignment="both",
+                keep_lines=True,
+            ),
+            _style_xml(
+                "ImageCaption",
+                "Image Caption",
+                font=BODY_FONT_FAMILY,
+                size=BODY_SIZE_HALF_POINTS,
+                alignment="center",
+                keep_lines=True,
+            ),
+        ]
+    )
+    return f'{_XML_DECL}<w:styles xmlns:w="{_W_NS}">{defaults}{"".join(styles)}</w:styles>'
+
+
+def _heading_level_xml(level: int, format_value: str, text: str, font: str) -> str:
+    restart = f'<w:lvlRestart w:val="{level}"/>' if level > 0 else ""
+    return (
+        f'<w:lvl w:ilvl="{level}"><w:start w:val="1"/>{restart}<w:numFmt w:val="{format_value}"/>'
+        f'<w:lvlText w:val="{_xml_attr(text)}"/><w:lvlJc w:val="left"/>'
+        '<w:pPr><w:ind w:left="0" w:hanging="0"/></w:pPr>'
+        f'<w:rPr>{_font_run_properties(font, BODY_SIZE_HALF_POINTS)}</w:rPr></w:lvl>'
+    )
+
+
+def _list_abstract_xml(abstract_id: int, *, ordered: bool) -> str:
+    levels: list[str] = []
+    bullets = ["●", "○", "▪"]
+    for level in range(9):
+        format_value = "decimal" if ordered else "bullet"
+        text = f"%{level + 1}." if ordered else bullets[level % len(bullets)]
+        left = 720 * (level + 1)
+        levels.append(
+            f'<w:lvl w:ilvl="{level}"><w:start w:val="1"/><w:numFmt w:val="{format_value}"/>'
+            f'<w:lvlText w:val="{_xml_attr(text)}"/><w:lvlJc w:val="left"/>'
+            f'<w:pPr><w:tabs><w:tab w:val="num" w:pos="{left}"/></w:tabs>'
+            f'<w:ind w:left="{left}" w:hanging="360"/></w:pPr>'
+            f'<w:rPr>{_font_run_properties(BODY_FONT_FAMILY, BODY_SIZE_HALF_POINTS)}</w:rPr></w:lvl>'
+        )
+    return f'<w:abstractNum w:abstractNumId="{abstract_id}"><w:multiLevelType w:val="multilevel"/>{"".join(levels)}</w:abstractNum>'
+
+
+def _numbering_xml() -> str:
+    heading_levels = "".join(
+        [
+            _heading_level_xml(0, "chineseCounting", "%1、", HEADING_1_FONT_FAMILY),
+            _heading_level_xml(1, "chineseCounting", "（%2）", HEADING_2_FONT_FAMILY),
+            _heading_level_xml(2, "decimal", "%3.", BODY_FONT_FAMILY),
+            _heading_level_xml(3, "decimal", "（%4）", BODY_FONT_FAMILY),
+            _heading_level_xml(4, "decimal", "%5）", BODY_FONT_FAMILY),
+        ]
+    )
+    return (
+        f'{_XML_DECL}<w:numbering xmlns:w="{_W_NS}">'
+        f'<w:abstractNum w:abstractNumId="0"><w:multiLevelType w:val="multilevel">'
+        f"</w:multiLevelType>{heading_levels}</w:abstractNum>"
+        f'{_list_abstract_xml(1, ordered=True)}{_list_abstract_xml(2, ordered=False)}'
+        '<w:num w:numId="1"><w:abstractNumId w:val="0"/></w:num>'
+        '<w:num w:numId="2"><w:abstractNumId w:val="1"/></w:num>'
+        '<w:num w:numId="3"><w:abstractNumId w:val="2"/></w:num>'
+        "</w:numbering>"
+    )
+
+
+def _footer_xml(alignment: str) -> str:
+    run_properties = _font_run_properties(TABLE_FONT_FAMILY, TABLE_SIZE_HALF_POINTS)
+    return (
+        f'{_XML_DECL}<w:ftr xmlns:w="{_W_NS}" xmlns:r="{_R_NS}">'
+        f'<w:p><w:pPr><w:jc w:val="{alignment}"/><w:spacing w:before="0" w:after="0"/></w:pPr>'
+        f'<w:r><w:rPr>{run_properties}</w:rPr><w:fldChar w:fldCharType="begin"/></w:r>'
+        f'<w:r><w:rPr>{run_properties}</w:rPr><w:instrText xml:space="preserve"> PAGE </w:instrText></w:r>'
+        f'<w:r><w:rPr>{run_properties}</w:rPr><w:fldChar w:fldCharType="separate"/></w:r>'
+        f'<w:r><w:rPr>{run_properties}</w:rPr><w:t>1</w:t></w:r>'
+        f'<w:r><w:rPr>{run_properties}</w:rPr><w:fldChar w:fldCharType="end"/></w:r>'
+        "</w:p></w:ftr>"
+    )
+
+
+def _font_table_xml(font_key: str) -> str:
+    def font(name: str, *, embedded: bool = False) -> str:
+        embed = f'<w:embedRegular r:id="rId1" w:fontKey="{{{font_key}}}"/>' if embedded else ""
+        return (
+            f'<w:font w:name="{_xml_attr(name)}"><w:family w:val="roman"/>'
+            f'<w:charset w:val="86"/>{embed}</w:font>'
+        )
+
+    fonts = "".join(
+        [
+            font(TITLE_FONT_FAMILY, embedded=True),
+            font(BODY_FONT_FAMILY),
+            font(HEADING_1_FONT_FAMILY),
+            font(HEADING_2_FONT_FAMILY),
+            font(TABLE_FONT_FAMILY),
+        ]
+    )
+    return f'{_XML_DECL}<w:fonts xmlns:w="{_W_NS}" xmlns:r="{_R_NS}">{fonts}</w:fonts>'
+
+
+def _font_table_relationships_xml() -> str:
+    return (
+        f'{_XML_DECL}<Relationships xmlns="{_PACKAGE_REL_NS}">'
+        '<Relationship Id="rId1" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/font" Target="fonts/font1.odttf"/>'
+        "</Relationships>"
+    )
+
+
+def _settings_xml() -> str:
+    return (
+        f'{_XML_DECL}<w:settings xmlns:w="{_W_NS}">'
+        '<w:zoom w:percent="100"/><w:evenAndOddHeaders/><w:updateFields w:val="true"/>'
+        '<w:compat><w:compatSetting w:name="compatibilityMode" '
+        'w:uri="http://schemas.microsoft.com/office/word" w:val="15"/></w:compat>'
+        "</w:settings>"
+    )
+
+
+def _document_xml(title: str | None, blocks: list[Block], relationships: _DocumentRelationships) -> str:
+    body: list[str] = []
+    if title:
+        body.append(
+            _paragraph_xml(
+                "DocumentTitle",
+                _run_xml(title, font=TITLE_FONT_FAMILY, size=TITLE_SIZE_HALF_POINTS),
+                keep_next=True,
+                alignment="center",
+            )
+        )
+    body.append(_blocks_xml(blocks, relationships))
+    section = (
+        '<w:sectPr><w:footerReference w:type="default" r:id="rId5"/>'
+        '<w:footerReference w:type="even" r:id="rId6"/>'
+        f'<w:pgSz w:w="{A4_WIDTH_TWIPS}" w:h="{A4_HEIGHT_TWIPS}" w:orient="portrait"/>'
+        f'<w:pgMar w:top="{MARGIN_TOP_TWIPS}" w:right="{MARGIN_RIGHT_TWIPS}" '
+        f'w:bottom="{MARGIN_BOTTOM_TWIPS}" w:left="{MARGIN_LEFT_TWIPS}" '
+        'w:header="720" w:footer="992" w:gutter="0"/>'
+        '<w:pgNumType w:start="1" w:fmt="decimal"/><w:cols w:space="720"/></w:sectPr>'
+    )
+    return (
+        f'{_XML_DECL}<w:document xmlns:w="{_W_NS}" xmlns:r="{_R_NS}">'
+        f"<w:body>{''.join(body)}{section}</w:body></w:document>"
+    )
+
+
+def _content_types_xml() -> str:
+    return (
+        f'{_XML_DECL}<Types xmlns="http://schemas.openxmlformats.org/package/2006/content-types">'
+        '<Default Extension="rels" ContentType="application/vnd.openxmlformats-package.relationships+xml"/>'
+        '<Default Extension="xml" ContentType="application/xml"/>'
+        '<Default Extension="odttf" ContentType="application/vnd.openxmlformats-officedocument.obfuscatedFont"/>'
+        '<Override PartName="/word/document.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml"/>'
+        '<Override PartName="/word/styles.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.styles+xml"/>'
+        '<Override PartName="/word/numbering.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.numbering+xml"/>'
+        '<Override PartName="/word/settings.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.settings+xml"/>'
+        '<Override PartName="/word/fontTable.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.fontTable+xml"/>'
+        '<Override PartName="/word/footer1.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.footer+xml"/>'
+        '<Override PartName="/word/footer2.xml" ContentType="application/vnd.openxmlformats-officedocument.wordprocessingml.footer+xml"/>'
+        '<Override PartName="/docProps/core.xml" ContentType="application/vnd.openxmlformats-package.core-properties+xml"/>'
+        '<Override PartName="/docProps/app.xml" ContentType="application/vnd.openxmlformats-officedocument.extended-properties+xml"/>'
+        "</Types>"
+    )
+
+
+def _package_relationships_xml() -> str:
+    return (
+        f'{_XML_DECL}<Relationships xmlns="{_PACKAGE_REL_NS}">'
+        '<Relationship Id="rId1" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/officeDocument" Target="word/document.xml"/>'
+        '<Relationship Id="rId2" Type="http://schemas.openxmlformats.org/package/2006/relationships/metadata/core-properties" Target="docProps/core.xml"/>'
+        '<Relationship Id="rId3" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/extended-properties" Target="docProps/app.xml"/>'
+        "</Relationships>"
+    )
+
+
+def _core_properties_xml(title: str | None) -> str:
+    now = datetime.now(UTC).replace(microsecond=0).isoformat().replace("+00:00", "Z")
+    safe_title = escape(title or "Word 文档")
+    return (
+        f'{_XML_DECL}<cp:coreProperties xmlns:cp="http://schemas.openxmlformats.org/package/2006/metadata/core-properties" '
+        'xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" '
+        'xmlns:dcmitype="http://purl.org/dc/dcmitype/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">'
+        f"<dc:title>{safe_title}</dc:title><dc:creator>DeerFlow</dc:creator>"
+        f'<dcterms:created xsi:type="dcterms:W3CDTF">{now}</dcterms:created>'
+        f'<dcterms:modified xsi:type="dcterms:W3CDTF">{now}</dcterms:modified></cp:coreProperties>'
+    )
+
+
+def _app_properties_xml() -> str:
+    return (
+        f'{_XML_DECL}<Properties xmlns="http://schemas.openxmlformats.org/officeDocument/2006/extended-properties" '
+        'xmlns:vt="http://schemas.openxmlformats.org/officeDocument/2006/docPropsVTypes">'
+        "<Application>DeerFlow</Application><AppVersion>1.0</AppVersion></Properties>"
+    )
+
+
+def build_markdown_docx(markdown: str, title: str | None = None, *, font_path: Path | None = None) -> bytes:
+    """Build a formal DOCX and embed the validated server-side title font."""
+    if not markdown or not markdown.strip():
+        raise WordExportError("文档内容为空。")
+    if len(markdown) > 2_000_000:
+        raise WordExportError("文档内容超过 200 万字符，无法导出。")
+
+    font = load_title_font(font_path)
+    resolved_title, blocks = _parse_markdown(markdown, title)
+    relationships = _DocumentRelationships()
+    document_xml = _document_xml(resolved_title, blocks, relationships)
+    font_key = str(uuid.uuid4()).upper()
+
+    output = io.BytesIO()
+    with zipfile.ZipFile(output, mode="w", compression=zipfile.ZIP_DEFLATED, compresslevel=6) as archive:
+        parts: dict[str, str | bytes] = {
+            "[Content_Types].xml": _content_types_xml(),
+            "_rels/.rels": _package_relationships_xml(),
+            "docProps/core.xml": _core_properties_xml(resolved_title),
+            "docProps/app.xml": _app_properties_xml(),
+            "word/document.xml": document_xml,
+            "word/_rels/document.xml.rels": relationships.xml(),
+            "word/styles.xml": _styles_xml(),
+            "word/numbering.xml": _numbering_xml(),
+            "word/settings.xml": _settings_xml(),
+            "word/fontTable.xml": _font_table_xml(font_key),
+            "word/_rels/fontTable.xml.rels": _font_table_relationships_xml(),
+            # Word applies the default footer to odd pages and the even footer
+            # to even pages. The requested placement is odd-left/even-right.
+            "word/footer1.xml": _footer_xml("left"),
+            "word/footer2.xml": _footer_xml("right"),
+            "word/fonts/font1.odttf": _obfuscate_font(font.data, font_key),
+        }
+        for name, value in parts.items():
+            archive.writestr(name, value.encode("utf-8") if isinstance(value, str) else value)
+    return output.getvalue()
+
+
+__all__ = [
+    "DOCX_MEDIA_TYPE",
+    "TITLE_FONT_FAMILY",
+    "WordExportError",
+    "WordExportFontError",
+    "build_markdown_docx",
+    "load_title_font",
+    "resolve_title_font_path",
+]
diff --git a/offline-backend-20260512/backend/tests/test_word_export.py b/offline-backend-20260512/backend/tests/test_word_export.py
new file mode 100644
index 00000000..9121c10c
--- /dev/null
+++ b/offline-backend-20260512/backend/tests/test_word_export.py
@@ -0,0 +1,116 @@
+from __future__ import annotations
+
+import hashlib
+import importlib.util
+import re
+import sys
+import zipfile
+from pathlib import Path
+from xml.etree import ElementTree
+
+import pytest
+
+BACKEND_ROOT = Path(__file__).resolve().parents[1]
+MODULE_PATH = BACKEND_ROOT / "app" / "gateway" / "word_export.py"
+
+
+def _load_word_export_module():
+    """Load the leaf module without executing app.gateway.__init__."""
+    spec = importlib.util.spec_from_file_location("word_export_test_module", MODULE_PATH)
+    assert spec is not None and spec.loader is not None
+    module = importlib.util.module_from_spec(spec)
+    sys.modules[spec.name] = module
+    spec.loader.exec_module(module)
+    return module
+
+
+word_export = _load_word_export_module()
+
+
+def test_bundled_font_is_exact_and_allows_editable_embedding() -> None:
+    font = word_export.load_title_font()
+
+    assert font.sha256 == "C52D577DD3AA719EF5FB9FF2043B7F7CA36FAE468EF34A47628A3A555D006A49"
+    assert font.fs_type == 0x0008
+    assert any("FZXiaoBiaoSong" in name for name in font.names)
+
+
+def test_formal_docx_contains_required_layout_numbering_and_embedded_font(tmp_path: Path) -> None:
+    markdown = """# 样例标题
+
+## 一、一级标题
+这是正文，用于验证首行缩进、两端对齐和固定行距。
+
+### （一）二级标题
+#### 1. 三级标题
+
+表1 测试表格
+| 项目 | 数值 |
+|---|---:|
+| 页面 | A4 纵向 |
+"""
+    docx_path = tmp_path / "sample.docx"
+    docx_path.write_bytes(word_export.build_markdown_docx(markdown))
+
+    with zipfile.ZipFile(docx_path) as archive:
+        names = set(archive.namelist())
+        assert "word/fonts/font1.odttf" in names
+        assert "word/_rels/fontTable.xml.rels" in names
+        for name in names:
+            if name.endswith(".xml") or name.endswith(".rels"):
+                ElementTree.fromstring(archive.read(name))
+
+        document = archive.read("word/document.xml").decode("utf-8")
+        styles = archive.read("word/styles.xml").decode("utf-8")
+        numbering = archive.read("word/numbering.xml").decode("utf-8")
+        settings = archive.read("word/settings.xml").decode("utf-8")
+        font_table = archive.read("word/fontTable.xml").decode("utf-8")
+        default_footer = archive.read("word/footer1.xml").decode("utf-8")
+        even_footer = archive.read("word/footer2.xml").decode("utf-8")
+
+        assert '<w:pgSz w:w="11906" w:h="16838" w:orient="portrait"/>' in document
+        assert 'w:top="2098"' in document
+        assert 'w:bottom="1984"' in document
+        assert 'w:left="1587"' in document
+        assert 'w:right="1474"' in document
+        assert '<w:pgNumType w:start="1" w:fmt="decimal"/>' in document
+        assert '<w:pStyle w:val="DocumentTitle"/>' in document
+        assert "方正小标宋简体" in document
+        assert "一、一级标题" not in document
+        assert "（一）二级标题" not in document
+        assert "1. 三级标题" not in document
+
+        assert 'w:line="579" w:lineRule="exact"' in styles
+        assert '<w:ind w:left="0" w:hanging="0" w:firstLineChars="200"/>' in styles
+        assert "方正小标宋简体" in styles
+        assert 'w:val="44"' in styles
+        assert "仿宋" in styles and 'w:val="32"' in styles
+        assert "宋体" in styles and 'w:val="28"' in styles
+
+        assert '<w:numFmt w:val="chineseCounting"/>' in numbering
+        assert '<w:lvlText w:val="%1、"/>' in numbering
+        assert '<w:lvlText w:val="（%2）"/>' in numbering
+        assert '<w:lvlText w:val="%3."/>' in numbering
+        assert '<w:evenAndOddHeaders/>' in settings
+        assert '<w:updateFields w:val="true"/>' in settings
+
+        assert "方正小标宋简体" in font_table
+        key_match = re.search(r'w:fontKey="\{([0-9A-F-]{36})\}"', font_table)
+        assert key_match is not None
+        font_key = key_match.group(1)
+        restored = word_export._obfuscate_font(archive.read("word/fonts/font1.odttf"), font_key)
+        assert hashlib.sha256(restored).hexdigest().upper() == word_export._BUNDLED_FONT_SHA256
+
+        # Word's default footer applies to odd pages; the separate even footer
+        # applies to even pages. The requested alignment is odd-left/even-right.
+        assert '<w:jc w:val="left"/>' in default_footer
+        assert '<w:jc w:val="right"/>' in even_footer
+        assert " PAGE " in default_footer and " PAGE " in even_footer
+
+
+def test_export_rejects_wrong_font(tmp_path: Path) -> None:
+    wrong_font = tmp_path / "wrong.ttf"
+    wrong_font.write_bytes(b"not-a-font")
+
+    with pytest.raises(word_export.WordExportFontError):
+        word_export.build_markdown_docx("正文", font_path=wrong_font)