feat(turbo): add direct LLM chat mode with runtime toggle

Add 极速 mode that streams via /api/direct-chat without the lead agent stack,
plus VITE_TURBO_MODE_VISIBLE in runtime-config.js (default off). Also disable
global memory, tighten Qwen/vLLM thinking control for flash mode, and force
thinking off on the direct-chat endpoint.

Co-authored-by: Cursor <cursoragent@cursor.com>

frontend-web/.env.example

@@ -59,6 +59,9 @@
 # 简介模式左侧菜单类型：与菜单管理页「简介模式」的类型 A / B 对应。两套网页分别填 A 或 B。
 # 不填或留空时按类型 A，继续使用原来的简介菜单数据。
 # VITE_COMPACT_MENU_TYPE=A
+# 问答页「极速」模式：true=在模式菜单显示并直连大模型；false 或未设=隐藏。
+# 部署后优先改 dist/runtime-config.js 的 VITE_TURBO_MODE_VISIBLE，刷新即可。
+# VITE_TURBO_MODE_VISIBLE=false
 # VITE_GITHUB_OAUTH_TOKEN=
 
 # --- 官方 DeerFlow 风格页面入口（仅 Vite，不引入 Next.js）---

frontend-web/public/runtime-config.js

@@ -151,6 +151,11 @@ window.__CM_RUNTIME_CONFIG__ = {
   // GitHub OAuth Token；不使用 GitHub 相关能力时留空。
   VITE_GITHUB_OAUTH_TOKEN: "",
 
+  // 是否在问答输入框「模式」菜单显示「极速」："true" 显示，"false" 隐藏。
+  // 默认关闭。开启后可直连大模型流式问答，不走智能体工具与技能。
+  // 部署后改 dist/runtime-config.js 再刷新页面即可，无需重新打包。
+  VITE_TURBO_MODE_VISIBLE: "true",
+
   // 是否在智能体管理页显示「舆情分析」类型："true" 显示，"false" 隐藏。
   // 关闭后，该智能体的专用对话地址也会自动跳回智能体管理页。
   VITE_SENTIMENT_AGENT_VISIBLE: "true",

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

@@ -7,6 +7,7 @@ import {
   CheckIcon,
   FileTextIcon,
   FolderTreeIcon,
+  GaugeIcon,
   GraduationCapIcon,
   LightbulbIcon,
   PaperclipIcon,
@@ -68,6 +69,7 @@ import { isHiddenFromUIMessage } from "@/core/messages/utils";
 import { useModels } from "@/core/models/hooks";
 import type { Model } from "@/core/models/types";
 import type { AgentThreadContext } from "@/core/threads";
+import { isTurboModeVisible } from "@/core/threads/use-direct-chat";
 import { textOfMessage } from "@/core/threads/utils";
 import { desensitize } from "@/lib/desensitize";
 import { cn } from "@/lib/utils";
@@ -93,14 +95,14 @@ import {
 
 import { useRecommendedQuestions } from "@/core/recommended-questions/hooks";
 import { useUserPreferences } from "@/core/user-preferences";
-import {
+import {
-  isThreadRagModeLocked,
+  isThreadRagModeLocked,
-  lockThreadRagMode,
+  lockThreadRagMode,
-  useLocalSettings,
+  useLocalSettings,
-} from "@/core/settings";
+} from "@/core/settings";
-import { useCitationDisplaySettings } from "@/core/system-settings/hooks";
+import { useCitationDisplaySettings } from "@/core/system-settings/hooks";
-
+
-import { CustomPromptBar } from "./custom-prompt-menu";
+import { CustomPromptBar } from "./custom-prompt-menu";
 import { useThread } from "./messages/context";
 import { ModeHoverGuide } from "./mode-hover-guide";
 import { Tooltip } from "./tooltip";
@@ -223,16 +225,20 @@ export function InputBox({
     context.execution_profile === "single_round_rag";
   const multiRoundRagActive =
     context.execution_profile === "multi_round_rag";
+  const turboModeVisible = isTurboModeVisible();
+  const directChatActive =
+    turboModeVisible && context.execution_profile === "direct";
   const frontendRagActive = singleRoundRagActive || multiRoundRagActive;
+  const bypassAgentActive = frontendRagActive || directChatActive;
   const modelOptions = useMemo(() => {
     return singleRoundRagActive ? extraModels : models;
   }, [extraModels, models, singleRoundRagActive]);
-  const { thread, isMock } = useThread();
+  const { thread, isMock } = useThread();
-  const { textInput } = usePromptInputController();
+  const { textInput } = usePromptInputController();
-  const promptRootRef = useRef<HTMLDivElement | null>(null);
+  const promptRootRef = useRef<HTMLDivElement | null>(null);
-  const { data: citationDisplay } = useCitationDisplaySettings();
+  const { data: citationDisplay } = useCitationDisplaySettings();
-  const referenceModeEntryEnabled =
+  const referenceModeEntryEnabled =
-    citationDisplay?.reference_mode_enabled ?? false;
+    citationDisplay?.reference_mode_enabled ?? false;
 
   const [followups, setFollowups] = useState<string[]>([]);
   const [followupsHidden, setFollowupsHidden] = useState(false);
@@ -253,11 +259,37 @@ export function InputBox({
     recommendedQuestions.length > 0;
 
   useEffect(() => {
-    // Multi-round RAG is a frontend execution profile, not a model option.
+    // Frontend-only execution profiles are not model options.
-    // Do not let the normal model fallback clear it on every render.
+    // Do not let the normal model fallback clear them on every render.
+    if (!turboModeVisible && context.execution_profile === "direct") {
+      onContextChange?.({
+        ...context,
+        execution_profile: undefined,
+      });
+      return;
+    }
     if (multiRoundRagActive) {
       return;
     }
+    if (directChatActive) {
+      if (models.length === 0) {
+        return;
+      }
+      const currentModel = models.find((m) => m.name === context.model_name);
+      const fallbackModel = currentModel ?? models[0]!;
+      if (
+        context.model_name === fallbackModel.name &&
+        context.execution_profile === "direct"
+      ) {
+        return;
+      }
+      onContextChange?.({
+        ...context,
+        model_name: fallbackModel.name,
+        execution_profile: "direct",
+      });
+      return;
+    }
     if (modelOptions.length === 0) {
       return;
     }
@@ -281,7 +313,7 @@ export function InputBox({
       mode: nextMode,
       execution_profile: fallbackModel.execution_profile,
     });
-  }, [context, modelOptions, multiRoundRagActive, onContextChange]);
+  }, [context, directChatActive, modelOptions, models, multiRoundRagActive, onContextChange, turboModeVisible]);
 
   const selectedModel = useMemo(() => {
     if (modelOptions.length === 0) {
@@ -314,7 +346,10 @@ export function InputBox({
         model_name,
         mode: getResolvedMode(context.mode, model.supports_thinking ?? false),
         reasoning_effort: context.reasoning_effort,
-        execution_profile: model.execution_profile,
+        execution_profile:
+          context.execution_profile === "direct"
+            ? "direct"
+            : model.execution_profile,
       });
       setModelDialogOpen(false);
     },
@@ -346,6 +381,16 @@ export function InputBox({
     [onContextChange, context, models, supportThinking],
   );
 
+  const handleDirectChatSelect = useCallback(() => {
+    const ordinaryModel =
+      models.find((model) => model.name === context.model_name) ?? models[0];
+    onContextChange?.({
+      ...context,
+      model_name: ordinaryModel?.name ?? context.model_name,
+      execution_profile: "direct",
+    });
+  }, [context, models, onContextChange]);
+
   const handleSingleRoundRagSelect = useCallback(() => {
     const ragModel =
       extraModels.find((model) => model.name === context.model_name) ??
@@ -749,7 +794,7 @@ export function InputBox({
               />
             </PromptInputActionMenuContent>
           </PromptInputActionMenu> */}
-            {!frontendRagActive && (
+            {!bypassAgentActive && (
               <AddAttachmentsButton
                 className={cn(
                   "rounded-full border-0 bg-transparent px-2.5! shadow-none text-muted-foreground hover:bg-muted/70 hover:text-foreground dark:text-slate-400 dark:hover:bg-slate-700/70 dark:hover:text-slate-100",
@@ -758,7 +803,7 @@ export function InputBox({
                 )}
               />
             )}
-            {!frontendRagActive && !hideContextTools && <Tooltip
+            {!bypassAgentActive && !hideContextTools && <Tooltip
               content={
                 context.writing_mode
                   ? "写作模式已开启：报告由深度研究管线按「通用分析结构」撰写，优先使用对话中已检索的资料"
@@ -784,7 +829,7 @@ export function InputBox({
                 <span className="text-xs font-normal">写作</span>
               </PromptInputButton>
             </Tooltip>}
-            {!frontendRagActive && <Tooltip
+            {!bypassAgentActive && <Tooltip
               content={
                 artifactDirectoryModeEnabled
                   ? "文件模式已开启：右侧会显示当前对话生成的全部文件目录"
@@ -813,7 +858,7 @@ export function InputBox({
                 <span className="text-xs font-normal">文件</span>
               </PromptInputButton>
             </Tooltip>}
-            {!frontendRagActive && !hideContextTools && !hideMemoryTool && <Tooltip
+            {!bypassAgentActive && !hideContextTools && !hideMemoryTool && <Tooltip
               content={
                 memoryInjectionEnabled
                   ? "记忆注入已开启：对话前会注入历史记忆"
@@ -839,9 +884,9 @@ export function InputBox({
                 <span className="text-xs font-normal">记忆</span>
               </PromptInputButton>
             </Tooltip>}
-            {referenceModeEntryEnabled && !frontendRagActive && !hideContextTools && <Tooltip
+            {referenceModeEntryEnabled && !bypassAgentActive && !hideContextTools && <Tooltip
-              content={
+              content={
-                ragModeEnabled
+                ragModeEnabled
                   ? "参考文献模式已开启：检索类结果会按编号引用展示"
                   : "参考文献模式已关闭：点击开启"
               }
@@ -869,7 +914,7 @@ export function InputBox({
                 <span className="text-xs font-normal">参考文献</span>
               </PromptInputButton>
             </Tooltip>}
-            {!frontendRagActive && <Tooltip
+            {!bypassAgentActive && <Tooltip
               content={
                 contextCompressionEnabled
                   ? "上下文压缩已开启：超长对话会自动压缩历史以节省 token"
@@ -909,7 +954,9 @@ export function InputBox({
                     : "flash"
                 }
                 tooltipContent={
-                  singleRoundRagActive
+                  directChatActive
+                    ? `${t.inputBox.turboMode}：${t.inputBox.turboModeDescription}`
+                    : singleRoundRagActive
                     ? "单轮 RAG 问答：基于知识库检索生成答案，并展示参考资料"
                     : multiRoundRagActive
                       ? "多轮 RAG 问答：多次检索并展示检索过程与参考资料"
@@ -921,7 +968,9 @@ export function InputBox({
                     "gap-1.5! rounded-full border-0 bg-transparent px-3! text-muted-foreground shadow-none hover:bg-muted/70 hover:text-foreground dark:text-slate-400 dark:hover:bg-slate-700/70 dark:hover:text-slate-100",
                     compact && "rounded-lg border px-2.5! py-1! text-[11px] font-medium",
                     compact &&
-                      (frontendRagActive
+                      (directChatActive
+                        ? "border-sky-200 bg-sky-50/60 text-sky-700 hover:bg-sky-100 dark:border-sky-700 dark:bg-sky-950/40 dark:text-sky-200"
+                        : frontendRagActive
                         ? "border-emerald-200 bg-emerald-50/60 text-emerald-700 hover:bg-emerald-100 dark:border-emerald-700 dark:bg-emerald-950/40 dark:text-emerald-200"
                         : context.mode === "thinking"
                         ? "border-indigo-200 bg-indigo-50/60 text-indigo-700 hover:bg-indigo-100 dark:border-indigo-700 dark:bg-indigo-950/40 dark:text-indigo-200"
@@ -933,7 +982,9 @@ export function InputBox({
                   )}
                   >
                     <div>
-                    {frontendRagActive ? (
+                    {directChatActive ? (
+                      <GaugeIcon className="size-3" />
+                    ) : frontendRagActive ? (
                       <BookMarkedIcon className="size-3" />
                     ) : context.mode === "flash" ? (
                       <ZapIcon className="size-3" />
@@ -948,10 +999,14 @@ export function InputBox({
                   <div
                     className={cn(
                       "text-xs font-normal",
-                      context.mode === "ultra" ? "golden-text" : "",
+                      context.mode === "ultra" && !directChatActive && !frontendRagActive
+                        ? "golden-text"
+                        : "",
                     )}
                   >
-                    {frontendRagActive
+                    {directChatActive
+                      ? t.inputBox.turboMode
+                      : frontendRagActive
                       ? multiRoundRagActive
                         ? "多轮 RAG"
                         : "单轮 RAG"
@@ -969,9 +1024,39 @@ export function InputBox({
                     {t.inputBox.mode}
                   </DropdownMenuLabel>
                   <PromptInputActionMenu>
+                    {turboModeVisible && (
                     <PromptInputActionMenuItem
                       className={cn(
-                        !frontendRagActive && context.mode === "flash"
+                        directChatActive
+                          ? "bg-sky-50 text-sky-800 hover:bg-sky-100 focus:bg-sky-100 dark:bg-sky-950/40 dark:text-sky-200 dark:hover:bg-sky-950/60 dark:focus:bg-sky-950/60"
+                          : "text-muted-foreground/65",
+                      )}
+                      onSelect={handleDirectChatSelect}
+                    >
+                      <div className="flex flex-col gap-2">
+                        <div className="flex items-center gap-1 font-bold">
+                          <GaugeIcon
+                            className={cn(
+                              "mr-2 size-4",
+                              directChatActive && "text-sky-700 dark:text-sky-200",
+                            )}
+                          />
+                          {t.inputBox.turboMode}
+                        </div>
+                        <div className="pl-7 text-xs">
+                          {t.inputBox.turboModeDescription}
+                        </div>
+                      </div>
+                      {directChatActive ? (
+                        <CheckIcon className="ml-auto size-4" />
+                      ) : (
+                        <div className="ml-auto size-4" />
+                      )}
+                    </PromptInputActionMenuItem>
+                    )}
+                    <PromptInputActionMenuItem
+                      className={cn(
+                        !bypassAgentActive && context.mode === "flash"
                           ? "text-accent-foreground"
                           : "text-muted-foreground/65",
                       )}
@@ -982,7 +1067,7 @@ export function InputBox({
                           <ZapIcon
                             className={cn(
                               "mr-2 size-4",
-                              !frontendRagActive && context.mode === "flash" &&
+                              !bypassAgentActive && context.mode === "flash" &&
                                 "text-accent-foreground",
                             )}
                           />
@@ -992,7 +1077,7 @@ export function InputBox({
                           {t.inputBox.flashModeDescription}
                         </div>
                       </div>
-                      {!frontendRagActive && context.mode === "flash" ? (
+                      {!bypassAgentActive && context.mode === "flash" ? (
                         <CheckIcon className="ml-auto size-4" />
                       ) : (
                         <div className="ml-auto size-4" />
@@ -1001,7 +1086,7 @@ export function InputBox({
                     {supportThinking && (
                       <PromptInputActionMenuItem
                         className={cn(
-                          !frontendRagActive && context.mode === "thinking"
+                          !bypassAgentActive && context.mode === "thinking"
                             ? "text-accent-foreground"
                             : "text-muted-foreground/65",
                         )}
@@ -1012,7 +1097,7 @@ export function InputBox({
                             <LightbulbIcon
                               className={cn(
                                 "mr-2 size-4",
-                                !frontendRagActive && context.mode === "thinking" &&
+                                !bypassAgentActive && context.mode === "thinking" &&
                                   "text-accent-foreground",
                               )}
                             />
@@ -1022,7 +1107,7 @@ export function InputBox({
                             {t.inputBox.reasoningModeDescription}
                           </div>
                         </div>
-                        {!frontendRagActive && context.mode === "thinking" ? (
+                        {!bypassAgentActive && context.mode === "thinking" ? (
                           <CheckIcon className="ml-auto size-4" />
                         ) : (
                           <div className="ml-auto size-4" />
@@ -1031,7 +1116,7 @@ export function InputBox({
                     )}
                     <PromptInputActionMenuItem
                       className={cn(
-                        !frontendRagActive && context.mode === "pro"
+                        !bypassAgentActive && context.mode === "pro"
                           ? "text-accent-foreground"
                           : "text-muted-foreground/65",
                       )}
@@ -1042,7 +1127,7 @@ export function InputBox({
                           <GraduationCapIcon
                             className={cn(
                               "mr-2 size-4",
-                              !frontendRagActive && context.mode === "pro" &&
+                              !bypassAgentActive && context.mode === "pro" &&
                                 "text-accent-foreground",
                             )}
                           />
@@ -1052,7 +1137,7 @@ export function InputBox({
                           {t.inputBox.proModeDescription}
                         </div>
                       </div>
-                      {!frontendRagActive && context.mode === "pro" ? (
+                      {!bypassAgentActive && context.mode === "pro" ? (
                         <CheckIcon className="ml-auto size-4" />
                       ) : (
                         <div className="ml-auto size-4" />
@@ -1060,7 +1145,7 @@ export function InputBox({
                     </PromptInputActionMenuItem>
                     <PromptInputActionMenuItem
                       className={cn(
-                        !frontendRagActive && context.mode === "ultra"
+                        !bypassAgentActive && context.mode === "ultra"
                           ? "text-accent-foreground"
                           : "text-muted-foreground/65",
                       )}
@@ -1071,14 +1156,14 @@ export function InputBox({
                           <RocketIcon
                             className={cn(
                               "mr-2 size-4",
-                              !frontendRagActive &&
+                              !bypassAgentActive &&
                                 context.mode === "ultra" &&
                                 "text-[#dabb5e]",
                             )}
                           />
                           <div
                             className={cn(
-                              !frontendRagActive &&
+                              !bypassAgentActive &&
                                 context.mode === "ultra" &&
                                 "golden-text",
                             )}
@@ -1090,7 +1175,7 @@ export function InputBox({
                           {t.inputBox.ultraModeDescription}
                         </div>
                       </div>
-                      {!frontendRagActive && context.mode === "ultra" ? (
+                      {!bypassAgentActive && context.mode === "ultra" ? (
                         <CheckIcon className="ml-auto size-4" />
                       ) : (
                         <div className="ml-auto size-4" />
@@ -1161,7 +1246,7 @@ export function InputBox({
                 </DropdownMenuGroup>
               </PromptInputActionMenuContent>
             </PromptInputActionMenu>
-            {!frontendRagActive && supportReasoningEffort && context.mode !== "flash" && (
+            {!bypassAgentActive && supportReasoningEffort && context.mode !== "flash" && (
               <PromptInputActionMenu>
                 <PromptInputActionMenuTrigger className={cn("gap-1.5! rounded-full border-0 bg-transparent px-3! text-muted-foreground shadow-none hover:bg-muted/70 hover:text-foreground dark:text-slate-400 dark:hover:bg-slate-700/70 dark:hover:text-slate-100", compact && "rounded-lg border border-border px-2.5! py-1! text-[13px]")}>
                   <div className="text-xs font-normal">
@@ -1279,7 +1364,7 @@ export function InputBox({
             )}
           </PromptInputTools>
           <PromptInputTools className={cn("gap-1.5", compact && "gap-2")}>
-            {!frontendRagActive && agentSelector && (
+            {!bypassAgentActive && agentSelector && (
               <AgentSelector
                 selectedAgentId={agentSelector.selectedAgentId}
                 onAgentChange={agentSelector.onAgentChange}
@@ -1287,8 +1372,8 @@ export function InputBox({
                 compact={compact}
               />
             )}
-            {!frontendRagActive && knowledgeSelector}
+            {!bypassAgentActive && knowledgeSelector}
-            {!frontendRagActive && promptPrefix && (
+            {!bypassAgentActive && promptPrefix && (
               <Tooltip
                 content={
                   promptPrefix.on

frontend-web/src/core/i18n/locales/en-US.ts

@@ -96,6 +96,9 @@ export const enUS: Translations = {
     mode: "Mode",
     flashMode: "Flash",
     flashModeDescription: "Fast and efficient, but may not be accurate",
+    turboMode: "Turbo",
+    turboModeDescription:
+      "Talk to the model directly with no agent tools or skills, for lower first-token latency",
     reasoningMode: "Reasoning",
     reasoningModeDescription:
       "Reasoning before action, balance between time and accuracy",
@@ -448,17 +451,17 @@ export const enUS: Translations = {
       system: "System",
       light: "Light",
       dark: "Dark",
-      lightblue: "Light Blue",
+      lightblue: "Light Blue",
-      lightgreen: "Green",
+      lightgreen: "Green",
-      iceblue: "Glacier Blue",
+      iceblue: "Glacier Blue",
-      lightyellow: "Pale Yellow",
+      lightyellow: "Pale Yellow",
       systemDescription: "Match the operating system preference automatically.",
       lightDescription: "Bright palette with higher contrast for daytime.",
       darkDescription: "Dim palette that reduces glare for focus.",
-      lightblueDescription: "A crisp light palette built around blue.",
+      lightblueDescription: "A crisp light palette built around blue.",
-      lightgreenDescription: "A crisp light palette built around fresh green tones.",
+      lightgreenDescription: "A crisp light palette built around fresh green tones.",
-      iceblueDescription: "An airy palette built around #9BCEF1 with accessible blue actions.",
+      iceblueDescription: "An airy palette built around #9BCEF1 with accessible blue actions.",
-      lightyellowDescription: "A soft palette built around #F3FBD9 with readable olive actions.",
+      lightyellowDescription: "A soft palette built around #F3FBD9 with readable olive actions.",
       languageTitle: "Language",
       languageDescription: "Switch between languages.",
     },
@@ -545,13 +548,13 @@ export const enUS: Translations = {
       filesSaveAction: "Save",
       filesCancelEditAction: "Cancel",
       filesDownloadAction: "Download",
-      filesCopyPathAction: "Copy path",
+      filesCopyPathAction: "Copy path",
-      filesDiscardConfirm: "Discard unsaved changes?",
+      filesDiscardConfirm: "Discard unsaved changes?",
-      filesSaveSuccess: "File saved",
+      filesSaveSuccess: "File saved",
-      filesDeleteAction: "Delete",
+      filesDeleteAction: "Delete",
-      filesDeleteConfirm: "Delete \"{path}\"? This cannot be undone.",
+      filesDeleteConfirm: "Delete \"{path}\"? This cannot be undone.",
-      filesDeleteSuccess: "File deleted",
+      filesDeleteSuccess: "File deleted",
-      filesReadOnlyHint: "Only administrators can edit or delete built-in skill files.",
+      filesReadOnlyHint: "Only administrators can edit or delete built-in skill files.",
       viewDetailAction: "View skill details",
       stateSheet: {
         archivedTitle: "Archived skills",
@@ -591,26 +594,26 @@ export const enUS: Translations = {
         chooseFile: "Choose file",
         validating: "Validating archive…",
         installing: "Installing…",
-        replace: "Upload again and replace",
+        replace: "Upload again and replace",
         install: "Install",
         cancel: "Cancel",
         nameLabel: "Name",
         descriptionLabel: "Description",
         licenseLabel: "License",
         toolsLabel: "Allowed tools",
-        warningsLabel: "Warnings",
+        warningsLabel: "Warnings",
-        conflictOwnedByMe:
+        conflictOwnedByMe:
-          "You already uploaded a skill named '{name}'. You may upload it again and replace your existing copy (its enabled state will be kept).",
+          "You already uploaded a skill named '{name}'. You may upload it again and replace your existing copy (its enabled state will be kept).",
-        conflictOwnedByMeWrongTarget:
+        conflictOwnedByMeWrongTarget:
-          "The custom skill '{name}' belongs to you. Switch the target to 'Custom skill' to replace it.",
+          "The custom skill '{name}' belongs to you. Switch the target to 'Custom skill' to replace it.",
-        conflictOwnedByOther:
+        conflictOwnedByOther:
-          "Skill '{name}' was uploaded by user '{owner}' and cannot be replaced. Rename the skill before uploading.",
+          "Skill '{name}' was uploaded by user '{owner}' and cannot be replaced. Rename the skill before uploading.",
-        conflictCustom:
+        conflictCustom:
-          "A custom skill named '{name}' already exists, but its uploader could not be identified. Rename it to avoid overwriting someone else's skill.",
+          "A custom skill named '{name}' already exists, but its uploader could not be identified. Rename it to avoid overwriting someone else's skill.",
         conflictPublic:
           "A built-in public skill named '{name}' already exists and cannot be overwritten.",
-        conflictPublicAdminHint:
+        conflictPublicAdminHint:
-          "A built-in public skill named '{name}' exists. Click 'Upload again and replace' to overwrite it.",
+          "A built-in public skill named '{name}' exists. Click 'Upload again and replace' to overwrite it.",
         installSuccess: "Skill '{name}' installed.",
         installSuccessReplaced: "Skill '{name}' replaced.",
         rejectInvalidExt: "Only .zip or .skill files are accepted.",

frontend-web/src/core/i18n/locales/types.ts

@@ -91,6 +91,8 @@ export interface Translations {
     mode: string;
     flashMode: string;
     flashModeDescription: string;
+    turboMode: string;
+    turboModeDescription: string;
     reasoningMode: string;
     reasoningModeDescription: string;
     proMode: string;
@@ -383,17 +385,17 @@ export interface Translations {
       system: string;
       light: string;
       dark: string;
-      lightblue: string;
+      lightblue: string;
-      lightgreen: string;
+      lightgreen: string;
-      iceblue: string;
+      iceblue: string;
-      lightyellow: string;
+      lightyellow: string;
       systemDescription: string;
       lightDescription: string;
       darkDescription: string;
-      lightblueDescription: string;
+      lightblueDescription: string;
-      lightgreenDescription: string;
+      lightgreenDescription: string;
-      iceblueDescription: string;
+      iceblueDescription: string;
-      lightyellowDescription: string;
+      lightyellowDescription: string;
       languageTitle: string;
       languageDescription: string;
     };
@@ -475,13 +477,13 @@ export interface Translations {
       filesSaveAction: string;
       filesCancelEditAction: string;
       filesDownloadAction: string;
-      filesCopyPathAction: string;
+      filesCopyPathAction: string;
-      filesDiscardConfirm: string;
+      filesDiscardConfirm: string;
-      filesSaveSuccess: string;
+      filesSaveSuccess: string;
-      filesDeleteAction: string;
+      filesDeleteAction: string;
-      filesDeleteConfirm: string;
+      filesDeleteConfirm: string;
-      filesDeleteSuccess: string;
+      filesDeleteSuccess: string;
-      filesReadOnlyHint: string;
+      filesReadOnlyHint: string;
       viewDetailAction: string;
       stateSheet: {
         archivedTitle: string;
@@ -525,12 +527,12 @@ export interface Translations {
         nameLabel: string;
         descriptionLabel: string;
         licenseLabel: string;
-        toolsLabel: string;
+        toolsLabel: string;
-        warningsLabel: string;
+        warningsLabel: string;
-        conflictOwnedByMe: string;
+        conflictOwnedByMe: string;
-        conflictOwnedByMeWrongTarget: string;
+        conflictOwnedByMeWrongTarget: string;
-        conflictOwnedByOther: string;
+        conflictOwnedByOther: string;
-        conflictCustom: string;
+        conflictCustom: string;
         conflictPublic: string;
         conflictPublicAdminHint: string;
         installSuccess: string;

frontend-web/src/core/i18n/locales/zh-CN.ts

@@ -95,6 +95,8 @@ export const zhCN: Translations = {
     mode: "模式",
     flashMode: "快速",
     flashModeDescription: "快速且高效的完成任务，但可能不够精准",
+    turboMode: "极速",
+    turboModeDescription: "直连大模型流式问答，不走智能体工具与技能，首字更快",
     reasoningMode: "思考",
     reasoningModeDescription: "思考后再行动，在时间与准确性之间取得平衡",
     proMode: "专业问答",
@@ -429,17 +431,17 @@ export const zhCN: Translations = {
       system: "系统",
       light: "浅色",
       dark: "深色",
-      lightblue: "浅蓝",
+      lightblue: "浅蓝",
-      lightgreen: "绿色",
+      lightgreen: "绿色",
-      iceblue: "冰川蓝",
+      iceblue: "冰川蓝",
-      lightyellow: "浅黄色",
+      lightyellow: "浅黄色",
       systemDescription: "自动跟随系统主题。",
       lightDescription: "更明亮的配色，适合日间使用。",
       darkDescription: "更暗的配色，减少眩光方便专注。",
-      lightblueDescription: "以蓝色为主色的清爽浅色配色。",
+      lightblueDescription: "以蓝色为主色的清爽浅色配色。",
-      lightgreenDescription: "采用清新绿色的浅色配色。",
+      lightgreenDescription: "采用清新绿色的浅色配色。",
-      iceblueDescription: "以 #9BCEF1 为主色，搭配冰蓝留白与沉稳交互色。",
+      iceblueDescription: "以 #9BCEF1 为主色，搭配冰蓝留白与沉稳交互色。",
-      lightyellowDescription: "以 #F3FBD9 为主色，搭配柔和浅黄留白与深橄榄交互色。",
+      lightyellowDescription: "以 #F3FBD9 为主色，搭配柔和浅黄留白与深橄榄交互色。",
       languageTitle: "语言",
       languageDescription: "在不同语言之间切换。",
     },
@@ -524,11 +526,11 @@ export const zhCN: Translations = {
       filesDownloadAction: "下载",
       filesCopyPathAction: "复制路径",
       filesDiscardConfirm: "有未保存的修改,确定放弃吗?",
-      filesSaveSuccess: "文件已保存",
+      filesSaveSuccess: "文件已保存",
-      filesDeleteAction: "删除",
+      filesDeleteAction: "删除",
-      filesDeleteConfirm: "确定删除“{path}”？该操作不可撤销。",
+      filesDeleteConfirm: "确定删除“{path}”？该操作不可撤销。",
-      filesDeleteSuccess: "文件已删除",
+      filesDeleteSuccess: "文件已删除",
-      filesReadOnlyHint: "仅管理员可以编辑或删除内置技能文件。",
+      filesReadOnlyHint: "仅管理员可以编辑或删除内置技能文件。",
       viewDetailAction: "查看技能详情",
       stateSheet: {
         archivedTitle: "归档的技能",
@@ -566,24 +568,24 @@ export const zhCN: Translations = {
         chooseFile: "选择文件",
         validating: "正在校验文件…",
         installing: "安装中…",
-        replace: "重复上传并覆盖",
+        replace: "重复上传并覆盖",
         install: "安装",
         cancel: "取消",
         nameLabel: "名称",
         descriptionLabel: "描述",
         licenseLabel: "许可证",
         toolsLabel: "允许的工具",
-        warningsLabel: "警告",
+        warningsLabel: "警告",
-        conflictOwnedByMe:
+        conflictOwnedByMe:
-          "您已上传过同名技能 “{name}”，可重复上传并覆盖原版本（原启用状态保留）。",
+          "您已上传过同名技能 “{name}”，可重复上传并覆盖原版本（原启用状态保留）。",
-        conflictOwnedByMeWrongTarget:
+        conflictOwnedByMeWrongTarget:
-          "同名技能 “{name}” 是您上传的自定义技能，请切换到「自定义技能」后覆盖。",
+          "同名技能 “{name}” 是您上传的自定义技能，请切换到「自定义技能」后覆盖。",
-        conflictOwnedByOther:
+        conflictOwnedByOther:
-          "技能 “{name}” 已由用户 “{owner}” 上传，不能覆盖，请修改技能名称后再上传。",
+          "技能 “{name}” 已由用户 “{owner}” 上传，不能覆盖，请修改技能名称后再上传。",
-        conflictCustom:
+        conflictCustom:
-          "已存在同名自定义技能 “{name}”，但无法确认上传用户，为避免误覆盖请修改技能名称。",
+          "已存在同名自定义技能 “{name}”，但无法确认上传用户，为避免误覆盖请修改技能名称。",
         conflictPublic: `存在同名内置技能 '{name}'，无法覆盖。`,
-        conflictPublicAdminHint: `存在同名内置技能 '{name}'。点击「重复上传并覆盖」可替换。`,
+        conflictPublicAdminHint: `存在同名内置技能 '{name}'。点击「重复上传并覆盖」可替换。`,
         installSuccess: `技能 '{name}' 已安装。`,
         installSuccessReplaced: `技能 '{name}' 已替换。`,
         rejectInvalidExt: `只接受 .zip 或 .skill 文件。`,

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

@@ -4,11 +4,11 @@ export interface Model {
   model: string;
   display_name: string;
   description?: string | null;
-  supports_thinking?: boolean;
+  supports_thinking?: boolean;
-  supports_reasoning_effort?: boolean;
+  supports_reasoning_effort?: boolean;
-  /** Execution profiles handled by the frontend instead of DeerFlow. */
+  /** Execution profiles handled by the frontend instead of DeerFlow. */
-  execution_profile?: "single_round_rag" | "multi_round_rag";
+  execution_profile?: "single_round_rag" | "multi_round_rag" | "direct";
-}
+}
 
 export interface TokenUsageSettings {
   enabled: boolean;

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

@@ -16,14 +16,14 @@ import { rememberAskTime } from "../chat-timestamps";
 import { getBackendBaseURL, getLangGraphBaseURL } from "../config";
 import { useI18n } from "../i18n/hooks";
 import { OptType, writeYLog } from "../log/y-log";
-import type { FileInMessage } from "../messages/utils";
+import type { FileInMessage } from "../messages/utils";
-import type { LocalSettings } from "../settings";
+import type { LocalSettings } from "../settings";
-import {
+import {
-  isThreadRagModeLocked,
+  isThreadRagModeLocked,
-  lockThreadRagMode,
+  lockThreadRagMode,
-  useLocalSettings,
+  useLocalSettings,
-} from "../settings";
+} from "../settings";
-import { useCitationDisplaySettings } from "../system-settings/hooks";
+import { useCitationDisplaySettings } from "../system-settings/hooks";
 import { useUpdateSubtask } from "../tasks/context";
 import type { UploadedFileInfo } from "../uploads";
 import { promptInputFilePartToFile, uploadFiles } from "../uploads";
@@ -571,11 +571,11 @@ export function useThreadStream({
   onToolStart,
   onToolEnd,
 }: ThreadStreamOptions) {
-  const { t } = useI18n();
+  const { t } = useI18n();
-  const [localSettings] = useLocalSettings();
+  const [localSettings] = useLocalSettings();
-  const { data: citationDisplay } = useCitationDisplaySettings();
+  const { data: citationDisplay } = useCitationDisplaySettings();
-  const referenceModeEntryEnabled =
+  const referenceModeEntryEnabled =
-    citationDisplay?.reference_mode_enabled ?? false;
+    citationDisplay?.reference_mode_enabled ?? false;
   // Track the thread ID that is currently streaming to handle thread changes during streaming
   const [onStreamThreadId, setOnStreamThreadId] = useState(() => threadId);
   // Ref to track current thread ID across async callbacks without causing re-renders,
@@ -1507,21 +1507,21 @@ export function useThreadStream({
           ...context,
           ...extraContext,
         };
-        const selectedLlmWikiIds = Array.isArray(
+        const selectedLlmWikiIds = Array.isArray(
-          mergedContext.llmwiki_knowledge_base_ids,
+          mergedContext.llmwiki_knowledge_base_ids,
-        )
+        )
-          ? mergedContext.llmwiki_knowledge_base_ids
+          ? mergedContext.llmwiki_knowledge_base_ids
-          : [];
+          : [];
-        const selectedAssistantKnowledgeIds = Array.isArray(
+        const selectedAssistantKnowledgeIds = Array.isArray(
-          mergedContext.assistant_knowledge_base_ids,
+          mergedContext.assistant_knowledge_base_ids,
-        )
+        )
-          ? mergedContext.assistant_knowledge_base_ids
+          ? mergedContext.assistant_knowledge_base_ids
-          : [];
+          : [];
-        const ragModeEnabled =
+        const ragModeEnabled =
-          (referenceModeEntryEnabled && localSettings.display.ragModeEnabled) ||
+          (referenceModeEntryEnabled && localSettings.display.ragModeEnabled) ||
-          isThreadRagModeLocked(threadId) ||
+          isThreadRagModeLocked(threadId) ||
-          selectedLlmWikiIds.length > 0 ||
+          selectedLlmWikiIds.length > 0 ||
-          selectedAssistantKnowledgeIds.length > 0;
+          selectedAssistantKnowledgeIds.length > 0;
         if (ragModeEnabled) {
           lockThreadRagMode(threadId);
         }
@@ -1579,6 +1579,7 @@ export function useThreadStream({
             context: {
               ...mergedContext,
               thinking_enabled: mergedContext.mode !== "flash",
+              thinking_force_disabled: mergedContext.mode === "flash",
               is_plan_mode:
                 mergedContext.mode === "pro" || mergedContext.mode === "ultra",
               subagent_enabled: mergedContext.mode === "ultra",
@@ -1639,18 +1640,18 @@ export function useThreadStream({
         sendInFlightRef.current = false;
       }
     },
-    [
+    [
-      thread,
+      thread,
-      _handleOnStart,
+      _handleOnStart,
-      t.uploads.uploadingFiles,
+      t.uploads.uploadingFiles,
-      context,
+      context,
-      referenceModeEntryEnabled,
+      referenceModeEntryEnabled,
-      localSettings.display.ragModeEnabled,
+      localSettings.display.ragModeEnabled,
-      queryClient,
+      queryClient,
-      runOptions,
+      runOptions,
-      confirmOrRejoin,
+      confirmOrRejoin,
-    ],
+    ],
-  );
+  );
 
   const handleThreadStop = useCallback(async () => {
     const tid = threadIdRef.current;
@@ -1699,7 +1700,7 @@ export function useThreadStream({
       ? undefined
       : thread.error;
 
-  const mergedThread = {
+  const mergedThread = {
     ...thread,
     error: visibleThreadError,
     values: mergedValues,
@@ -1709,7 +1710,7 @@ export function useThreadStream({
         : mergedMessages,
     isLoading: thread.isLoading || streamHoldOpen,
     stop: handleThreadStop,
-  } as typeof thread;
+  } as typeof thread;
 
   // 第 4 个返回值 `onStreamThreadId` = 底层 useStream 当前实际绑定的线程 id（新建/未保存时为 null）。
   // 调用方据此判断「流是否已切到全新线程」，避免在切换会话的那一帧把消息发进上一个会话

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

@@ -2,18 +2,20 @@ import type { Message, Thread } from "@langchain/langgraph-sdk";
 
 import type { Todo } from "../todos";
 
-export interface AgentThreadState extends Record<string, unknown> {
+export interface AgentThreadState extends Record<string, unknown> {
-  title: string;
+  title: string;
-  title_provisional?: boolean;
+  title_provisional?: boolean;
-  messages: Message[];
+  messages: Message[];
-  artifacts: string[];
+  artifacts: string[];
-  todos?: Todo[];
+  todos?: Todo[];
-}
+}
 
 export interface AgentThreadContext extends Record<string, unknown> {
   thread_id: string;
   model_name: string | undefined;
   thinking_enabled: boolean;
+  /** Flash mode: force vLLM/Qwen ``enable_thinking=false`` even without a per-model disable shape. */
+  thinking_force_disabled?: boolean;
   is_plan_mode: boolean;
   subagent_enabled: boolean;
   reasoning_effort?: "minimal" | "low" | "medium" | "high";
@@ -23,15 +25,15 @@ export interface AgentThreadContext extends Record<string, unknown> {
   rag_mode_enabled?: boolean;
   /** Per-request switch for context compression (上下文压缩). Default off. */
   summarization_enabled?: boolean;
-  /** Per-conversation switch for knowledge-base RAG injection (phase 2). */
+  /** Per-conversation switch for knowledge-base RAG injection (phase 2). */
-  knowledge_rag_enabled?: boolean;
+  knowledge_rag_enabled?: boolean;
-  /** DeerFlow LLMWiki mapping ids selected for this conversation. */
+  /** DeerFlow LLMWiki mapping ids selected for this conversation. */
-  llmwiki_knowledge_base_ids?: string[];
+  llmwiki_knowledge_base_ids?: string[];
-  /** Assistant knowledge-base ids selected for this conversation. */
+  /** Assistant knowledge-base ids selected for this conversation. */
-  assistant_knowledge_base_ids?: string[];
+  assistant_knowledge_base_ids?: string[];
-  /** Direct RAG modes handled in the frontend; these requests never enter Lead Agent. */
+  /** Frontend-only execution paths that never enter Lead Agent (RAG / 极速直连). */
-  execution_profile?: "single_round_rag" | "multi_round_rag";
+  execution_profile?: "single_round_rag" | "multi_round_rag" | "direct";
-  agent_id?: string;
+  agent_id?: string;
   /** @deprecated kept for reading legacy thread metadata; prefer agent_id */
   agent_name?: string;
 }

frontend-web/src/core/threads/use-direct-chat.ts

@@ -0,0 +1,312 @@
+import type { Message } from "@langchain/langgraph-sdk";
+import { useCallback, useEffect, useRef, useState } from "react";
+
+import { apiFetch } from "@/core/api/fetch-client";
+import { getBackendBaseURL } from "@/core/config";
+import { readRuntimeFlag } from "@/env";
+import { createClientId } from "@/lib/client-id";
+
+import { textOfMessage } from "./utils";
+
+const STORAGE_PREFIX = "workspace.direct-chat.";
+const MAX_HISTORY_MESSAGES = 20;
+
+export function isDirectChatProfile(context: unknown): boolean {
+  return (
+    typeof context === "object" &&
+    context !== null &&
+    (context as { execution_profile?: unknown }).execution_profile === "direct"
+  );
+}
+
+/** 是否在模式菜单展示「极速」。仅 runtime-config.js 显式为 "true" 时开启，默认关闭。 */
+export function isTurboModeVisible(): boolean {
+  return readRuntimeFlag("VITE_TURBO_MODE_VISIBLE");
+}
+
+function storageKey(threadId: string) {
+  return `${STORAGE_PREFIX}${threadId}`;
+}
+
+function readStoredMessages(threadId: string): Message[] {
+  if (typeof window === "undefined" || !threadId) return [];
+  try {
+    const raw = window.sessionStorage.getItem(storageKey(threadId));
+    const parsed: unknown = raw ? JSON.parse(raw) : [];
+    return Array.isArray(parsed) ? (parsed as Message[]) : [];
+  } catch {
+    return [];
+  }
+}
+
+function writeStoredMessages(threadId: string, messages: Message[]) {
+  if (typeof window === "undefined" || !threadId) return;
+  try {
+    window.sessionStorage.setItem(storageKey(threadId), JSON.stringify(messages));
+  } catch {
+    // Quota errors must never interrupt an already-running answer.
+  }
+}
+
+function isAbortError(error: unknown): boolean {
+  return error instanceof DOMException
+    ? error.name === "AbortError"
+    : error instanceof Error && error.name === "AbortError";
+}
+
+function historyFromMessages(messages: Message[]): Array<{
+  role: "user" | "assistant";
+  content: string;
+}> {
+  const history: Array<{ role: "user" | "assistant"; content: string }> = [];
+  for (const message of messages) {
+    if (message.type !== "human" && message.type !== "ai") continue;
+    const content = textOfMessage(message)?.trim();
+    if (!content) continue;
+    history.push({
+      role: message.type === "human" ? "user" : "assistant",
+      content,
+    });
+  }
+  return history.slice(-MAX_HISTORY_MESSAGES);
+}
+
+function parseSseBlocks(buffer: string): {
+  events: Array<{ event?: string; data: string }>;
+  rest: string;
+} {
+  const parts = buffer.split("\n\n");
+  const rest = parts.pop() ?? "";
+  const events: Array<{ event?: string; data: string }> = [];
+  for (const part of parts) {
+    let event: string | undefined;
+    const dataLines: string[] = [];
+    for (const line of part.split("\n")) {
+      if (line.startsWith(":")) continue;
+      if (line.startsWith("event:")) event = line.slice(6).trim();
+      else if (line.startsWith("data:")) dataLines.push(line.slice(5).trimStart());
+    }
+    if (dataLines.length > 0) {
+      events.push({ event, data: dataLines.join("\n") });
+    }
+  }
+  return { events, rest };
+}
+
+async function readErrorDetail(response: Response): Promise<string> {
+  try {
+    const payload: unknown = await response.json();
+    if (
+      payload &&
+      typeof payload === "object" &&
+      "detail" in payload &&
+      typeof (payload as { detail: unknown }).detail === "string"
+    ) {
+      return (payload as { detail: string }).detail;
+    }
+  } catch {
+    // Fall through to status text.
+  }
+  return `极速问答失败（${response.status}）`;
+}
+
+/**
+ * Frontend-only adapter that talks to Gateway ``POST /api/direct-chat/stream``.
+ * It never submits a LangGraph run or touches the lead-agent stack.
+ */
+export function useDirectChatMessages(threadId: string | undefined) {
+  const [messages, setMessages] = useState<Message[]>(() =>
+    readStoredMessages(threadId ?? ""),
+  );
+  const messagesRef = useRef(messages);
+  const [isLoading, setIsLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+  const controllerRef = useRef<AbortController | null>(null);
+
+  useEffect(() => {
+    const stored = readStoredMessages(threadId ?? "");
+    messagesRef.current = stored;
+    setMessages(stored);
+    setError(null);
+  }, [threadId]);
+
+  useEffect(() => {
+    messagesRef.current = messages;
+  }, [messages]);
+
+  useEffect(() => () => controllerRef.current?.abort(), []);
+
+  const updateMessages = useCallback(
+    (targetThreadId: string, updater: (current: Message[]) => Message[]) => {
+      setMessages((current) => {
+        const next = updater(current);
+        messagesRef.current = next;
+        writeStoredMessages(targetThreadId, next);
+        return next;
+      });
+    },
+    [],
+  );
+
+  const stop = useCallback(() => controllerRef.current?.abort(), []);
+
+  const submit = useCallback(
+    async ({
+      targetThreadId,
+      query,
+      modelName,
+    }: {
+      targetThreadId: string;
+      query: string;
+      modelName?: string;
+    }) => {
+      if (isLoading) return;
+      const question = query.trim();
+      if (!question) return;
+
+      const humanId = createClientId("direct-human");
+      const assistantId = createClientId("direct-ai");
+      const clientTs = new Date().toISOString();
+      const history = historyFromMessages(messagesRef.current);
+      const userMessage: Message = {
+        id: humanId,
+        type: "human",
+        content: [{ type: "text", text: question }],
+        additional_kwargs: { client_ts: clientTs, direct_chat: true },
+      };
+      const initialAssistant: Message = {
+        id: assistantId,
+        type: "ai",
+        content: "",
+        additional_kwargs: { direct_chat: true },
+      };
+      updateMessages(targetThreadId, (current) => [
+        ...current,
+        userMessage,
+        initialAssistant,
+      ]);
+      setError(null);
+      setIsLoading(true);
+
+      const controller = new AbortController();
+      controllerRef.current = controller;
+      let answer = "";
+
+      const refreshAssistant = (content: string) => {
+        updateMessages(targetThreadId, (current) =>
+          current.map((item) =>
+            item.id === assistantId
+              ? ({
+                  ...item,
+                  content,
+                  additional_kwargs: {
+                    ...item.additional_kwargs,
+                    direct_chat: true,
+                  },
+                } as Message)
+              : item,
+          ),
+        );
+      };
+
+      try {
+        const response = await apiFetch(
+          `${getBackendBaseURL()}/api/direct-chat/stream`,
+          {
+            method: "POST",
+            headers: { "Content-Type": "application/json" },
+            signal: controller.signal,
+            body: JSON.stringify({
+              model_name: modelName,
+              messages: [...history, { role: "user", content: question }],
+            }),
+          },
+        );
+        if (!response.ok) {
+          throw new Error(await readErrorDetail(response));
+        }
+        if (!response.body) {
+          throw new Error("极速问答未返回数据流。");
+        }
+
+        const reader = response.body.getReader();
+        const decoder = new TextDecoder();
+        let buffer = "";
+        while (true) {
+          const { done, value } = await reader.read();
+          if (done) break;
+          buffer += decoder.decode(value, { stream: true });
+          const parsed = parseSseBlocks(buffer);
+          buffer = parsed.rest;
+          for (const block of parsed.events) {
+            let payload: unknown = null;
+            try {
+              payload = JSON.parse(block.data);
+            } catch {
+              continue;
+            }
+            if (block.event === "error") {
+              const detail =
+                payload &&
+                typeof payload === "object" &&
+                "detail" in payload &&
+                typeof (payload as { detail: unknown }).detail === "string"
+                  ? (payload as { detail: string }).detail
+                  : "极速问答失败。";
+              throw new Error(detail);
+            }
+            if (
+              block.event === "delta" &&
+              payload &&
+              typeof payload === "object" &&
+              "text" in payload &&
+              typeof (payload as { text: unknown }).text === "string"
+            ) {
+              answer += (payload as { text: string }).text;
+              refreshAssistant(answer);
+            }
+            if (
+              block.event === "result" &&
+              payload &&
+              typeof payload === "object" &&
+              "answer" in payload &&
+              typeof (payload as { answer: unknown }).answer === "string"
+            ) {
+              answer = (payload as { answer: string }).answer;
+              refreshAssistant(answer);
+            }
+          }
+        }
+        if (!answer) {
+          throw new Error("模型未返回任何文本。");
+        }
+      } catch (caught) {
+        if (!isAbortError(caught)) {
+          const message =
+            caught instanceof Error ? caught.message : "极速问答失败。";
+          setError(message);
+          updateMessages(targetThreadId, (current) =>
+            current.map((item) =>
+              item.id === assistantId
+                ? ({
+                    ...item,
+                    content: answer || message,
+                    additional_kwargs: {
+                      ...item.additional_kwargs,
+                      direct_chat: true,
+                    },
+                  } as Message)
+                : item,
+            ),
+          );
+        }
+      } finally {
+        if (controllerRef.current === controller) controllerRef.current = null;
+        setIsLoading(false);
+      }
+    },
+    [isLoading, updateMessages],
+  );
+
+  return { messages, isLoading, error, submit, stop };
+}

frontend-web/src/pages/AgentChatPage.tsx

@@ -13,6 +13,7 @@ import { useLocation } from "react-router-dom";
 import { useRouteBase } from "@/core/route-base";
 import { useCallback, useEffect, useMemo, useRef, useState, type ReactNode } from "react";
 import { useQuery } from "@tanstack/react-query";
+import { toast } from "sonner";
 
 import type { PromptInputMessage } from "@/components/ai-elements/prompt-input";
 import { Button } from "@/components/ui/button";
@@ -48,6 +49,7 @@ import { useNotification } from "@/core/notification/hooks";
 import { saveLastAgentId, useThreadSettings } from "@/core/settings";
 import { stopActiveThreadBeforeClarificationReply, stopThreadRun, useThreadStream } from "@/core/threads/hooks";
 import { useResearchWritingFeed } from "@/core/threads/use-research-writing-feed";
+import { useDirectChatMessages, isDirectChatProfile, isTurboModeVisible } from "@/core/threads/use-direct-chat";
 import { clearResearchReportStream } from "@/core/threads/use-research-report-stream";
 import { textOfMessage } from "@/core/threads/utils";
 import { resolveWritingModeReportPath } from "@/core/threads/writing-mode";
@@ -560,9 +562,26 @@ export default function AgentChatPage({
     },
   });
 
+  const directChat = useDirectChatMessages(threadId);
+  const directChatSelected =
+    isDirectChatProfile(settings.context) && isTurboModeVisible();
+
   // 写作模式深度研究进度：注入 displayThread 尾部（进度步骤条 + report.md
   // 流式 stub），成功且真实产物落地后自动撤出。
-  const { displayThread } = useResearchWritingFeed(threadId, thread);
+  const { displayThread: researchDisplayThread } = useResearchWritingFeed(threadId, thread);
+  const displayThread = useMemo(() => {
+    const base = researchDisplayThread;
+    if (directChat.messages.length === 0 && !directChat.isLoading) {
+      return base;
+    }
+    const messages = [...base.messages, ...directChat.messages];
+    return {
+      ...base,
+      values: { ...base.values, messages },
+      messages,
+      isLoading: base.isLoading || directChat.isLoading,
+    } as typeof base;
+  }, [directChat.isLoading, directChat.messages, researchDisplayThread]);
 
   // ── agentfx「入库」协助卡 ──────────────────────────────────────────────────
   // 任务工作区（taskBind）里，内置研判智能体写出的 task-reports.json 产物落地且
@@ -743,6 +762,62 @@ export default function AgentChatPage({
 
   const handleSubmit = useCallback(
     (message: PromptInputMessage, extraContext?: Record<string, unknown>) => {
+      if (directChatSelected) {
+        if (message.files && message.files.length > 0) {
+          toast.error("极速问答暂不支持附件，请移除附件后重试。");
+          return;
+        }
+        setHasStartedConversation(true);
+        saveLastAgentId(agent_id);
+        window.dispatchEvent(
+          new CustomEvent("workspace:sandbox-resume-autoscroll"),
+        );
+        void (async () => {
+          try {
+            let targetThreadId = threadId;
+            if (isNewThread) {
+              const created = await getAPIClient().threads.create({
+                metadata: {
+                  agent_id,
+                  ...(Object.keys(conversationMetadata).length > 0
+                    ? conversationMetadata
+                    : {}),
+                },
+              });
+              targetThreadId = created.thread_id;
+              knowledgeSelectionThread.current = targetThreadId;
+              activeThreadIdRef.current = targetThreadId;
+              setThreadId(targetThreadId);
+              setIsNewThread(false);
+              history.replaceState(
+                null,
+                "",
+                `${window.location.pathname}${window.location.search}#${agentChatsBase}/${targetThreadId}`,
+              );
+              const title = message.text.trim().replace(/\s+/g, " ").slice(0, 60);
+              if (title) {
+                void getAPIClient().threads
+                  .updateState(targetThreadId, { values: { title } })
+                  .catch(() => undefined);
+              }
+            }
+            if (!targetThreadId) {
+              toast.error("无法创建会话。");
+              return;
+            }
+            await directChat.submit({
+              targetThreadId,
+              query: message.text,
+              modelName: settings.context.model_name,
+            });
+          } catch (error) {
+            toast.error(
+              error instanceof Error ? error.message : "极速问答失败。",
+            );
+          }
+        })();
+        return;
+      }
       setHasStartedConversation(true);
       // Remember this agent so the new-chat landing screen pre-selects it next
       // time (covers both direct agent chats and the ChatPage handoff replay).
@@ -767,7 +842,7 @@ export default function AgentChatPage({
         ...pageReportThemeContext,
       });
     },
-    [sendMessage, threadId, agent_id, settings.context.writing_mode, writingArtifactPath, baseMode],
+    [sendMessage, threadId, agent_id, settings.context.writing_mode, settings.context.model_name, writingArtifactPath, baseMode, directChat, directChatSelected, isNewThread, conversationMetadata, agentChatsBase, setThreadId, setIsNewThread],
   );
 
   // 任务流程：切换 / 新建会话时，停掉「上一会话服务端在跑」的 run（老对话要停止）。
@@ -852,8 +927,12 @@ export default function AgentChatPage({
   );
 
   const handleStop = useCallback(async () => {
+    if (directChat.isLoading) {
+      directChat.stop();
+      return;
+    }
     await thread.stop();
-  }, [thread]);
+  }, [directChat, thread]);
 
   const isLandingState = isNewThread && !hasStartedConversation;
   // 任务闸门面板：仅 rwfx（taskGate）在新建对话且尚未开始时，于问答页顶部展示目的树 + 覆盖确认。
@@ -867,7 +946,7 @@ export default function AgentChatPage({
 
   const status = thread.error
     ? "error"
-    : thread.isLoading
+    : thread.isLoading || directChat.isLoading
       ? "streaming"
       : "ready";
 
@@ -1084,7 +1163,7 @@ export default function AgentChatPage({
                         autoFocus
                         status={status}
                         context={settings.context}
-                        disabled={isDemoMode || knowledgeSelectionLoading}
+                        disabled={isDemoMode || knowledgeSelectionLoading || directChat.isLoading}
                         onContextChange={(context) =>
                           setSettings("context", context)
                         }
@@ -1104,7 +1183,7 @@ export default function AgentChatPage({
                                 pendingKnowledgeSelection.current === null &&
                                 pendingAssistantKnowledgeSelection.current === null
                               }
-                              disabled={isDemoMode || knowledgeSelectionLoading}
+                              disabled={isDemoMode || knowledgeSelectionLoading || directChat.isLoading}
                               label="知识空间"
                             />
                           )
@@ -1175,7 +1254,7 @@ export default function AgentChatPage({
                         assistantId={agent_id}
                         status={status}
                         context={settings.context}
-                        disabled={isDemoMode || knowledgeSelectionLoading}
+                        disabled={isDemoMode || knowledgeSelectionLoading || directChat.isLoading}
                         onContextChange={(context) =>
                           setSettings("context", context)
                         }
@@ -1190,7 +1269,7 @@ export default function AgentChatPage({
                               assistantValue={selectedAssistantKnowledgeBaseIds}
                               onChange={changeKnowledgeSelection}
                               onAssistantChange={changeAssistantKnowledgeSelection}
-                              disabled={isDemoMode || knowledgeSelectionLoading}
+                              disabled={isDemoMode || knowledgeSelectionLoading || directChat.isLoading}
                               readOnly
                               label="知识空间"
                             />

frontend-web/src/pages/ChatPage.tsx

@@ -69,6 +69,7 @@ import { clearResearchReportStream } from "@/core/threads/use-research-report-st
 import { resolveWritingModeReportPath } from "@/core/threads/writing-mode";
 import { queueLlmWikiConversationDeposit } from "@/core/llmwiki/conversation-deposit";
 import { useSingleRoundRagMessages } from "@/core/threads/use-single-round-rag";
+import { useDirectChatMessages, isDirectChatProfile, isTurboModeVisible } from "@/core/threads/use-direct-chat";
 import { useMultiRoundRagMessages, mergeMessagesByTime, toLangGraphMessages } from "@/core/threads/use-multi-round-rag";
 import { useLayoutMode } from "@/core/system-settings/hooks";
 import { useRouteBase } from "@/core/route-base";
@@ -348,9 +349,12 @@ export default function ChatPage() {
   });
   const singleRoundRag = useSingleRoundRagMessages(threadId);
   const multiRoundRag = useMultiRoundRagMessages(threadId);
+  const directChat = useDirectChatMessages(threadId);
   const singleRoundRagSelected = isSingleRoundRagProfile(settings.context);
   const multiRoundRagSelected = isMultiRoundRagProfile(settings.context);
   const frontendRagSelected = isFrontendRagProfile(settings.context);
+  const directChatSelected =
+    isDirectChatProfile(settings.context) && isTurboModeVisible();
   // 写作模式深度研究进度：注入 displayThread 尾部（进度步骤条 + report.md
   // 流式 stub），成功且真实产物落地后自动撤出。
   const { displayThread: researchDisplayThread } = useResearchWritingFeed(threadId, thread);
@@ -360,13 +364,15 @@ export default function ChatPage() {
     if (
       singleRoundRag.messages.length === 0 &&
       ragMessages.length === 0 &&
+      directChat.messages.length === 0 &&
       !singleRoundRag.isLoading &&
-      !multiRoundRag.isLoading
+      !multiRoundRag.isLoading &&
+      !directChat.isLoading
     ) {
       return base;
     }
     const messages = mergeMessagesByTime(
-      [...base.messages, ...singleRoundRag.messages],
+      [...base.messages, ...singleRoundRag.messages, ...directChat.messages],
       ragMessages,
     );
     return {
@@ -374,9 +380,14 @@ export default function ChatPage() {
       values: { ...base.values, messages },
       messages,
       isLoading:
-        base.isLoading || singleRoundRag.isLoading || multiRoundRag.isLoading,
+        base.isLoading ||
+        singleRoundRag.isLoading ||
+        multiRoundRag.isLoading ||
+        directChat.isLoading,
     } as typeof base;
   }, [
+    directChat.isLoading,
+    directChat.messages,
     multiRoundRag.isLoading,
     multiRoundRag.messages,
     researchDisplayThread,
@@ -392,6 +403,52 @@ export default function ChatPage() {
 
   const handleSubmit = useCallback(
     (message: PromptInputMessage) => {
+      if (directChatSelected) {
+        if (message.files && message.files.length > 0) {
+          toast.error("极速问答暂不支持附件，请移除附件后重试。");
+          return;
+        }
+        setHasStartedConversation(true);
+        window.dispatchEvent(
+          new CustomEvent("workspace:sandbox-resume-autoscroll"),
+        );
+        void (async () => {
+          try {
+            let targetThreadId = threadId;
+            if (isNewThread) {
+              const created = await getAPIClient(isMock).threads.create({});
+              targetThreadId = created.thread_id;
+              setThreadId(targetThreadId);
+              setIsNewThread(false);
+              history.replaceState(
+                null,
+                "",
+                `${window.location.pathname}${window.location.search}#${routeBase}/chats/${targetThreadId}`,
+              );
+              const title = message.text.trim().replace(/\s+/g, " ").slice(0, 60);
+              if (title) {
+                void getAPIClient(isMock).threads
+                  .updateState(targetThreadId, { values: { title } })
+                  .catch(() => undefined);
+              }
+            }
+            if (!targetThreadId) {
+              toast.error("无法创建会话。");
+              return;
+            }
+            await directChat.submit({
+              targetThreadId,
+              query: message.text,
+              modelName: settings.context.model_name,
+            });
+          } catch (error) {
+            toast.error(
+              error instanceof Error ? error.message : "极速问答失败。",
+            );
+          }
+        })();
+        return;
+      }
       if (frontendRagSelected) {
         if (message.files && message.files.length > 0) {
           toast.error("RAG 问答暂不支持附件，请移除附件后重试。");
@@ -560,6 +617,8 @@ export default function ChatPage() {
       multiRoundRag,
       multiRoundRagSelected,
       frontendRagSelected,
+      directChat,
+      directChatSelected,
       routeBase,
       setIsNewThread,
       setThreadId,
@@ -655,6 +714,10 @@ export default function ChatPage() {
     saveLastAgentId(agentId);
   }, []);
   const handleStop = useCallback(async () => {
+    if (directChat.isLoading) {
+      directChat.stop();
+      return;
+    }
     if (singleRoundRag.isLoading) {
       singleRoundRag.stop();
       return;
@@ -664,7 +727,7 @@ export default function ChatPage() {
       return;
     }
     await thread.stop();
-  }, [multiRoundRag, singleRoundRag, thread]);
+  }, [directChat, multiRoundRag, singleRoundRag, thread]);
 
   const promptPrefixProp = useMemo(() => {
     if (!promptPrefixSettings?.enabled) return undefined;
@@ -914,7 +977,8 @@ export default function ChatPage() {
                         agentHandoffPending ||
                         knowledgeSelectionLoading ||
                         singleRoundRag.isLoading ||
-                        multiRoundRag.isLoading
+                        multiRoundRag.isLoading ||
+                        directChat.isLoading
                       }
                       onContextChange={(context) =>
                         setSettings("context", context)

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

@@ -42,6 +42,7 @@ from app.gateway.routers import (
     compact_menu_overrides,
     dashboard_sessions,
     deep_research,
+    direct_chat,
     external_llmwiki,
     feedback,
     fixed_questions,
@@ -1803,6 +1804,9 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
     # 开放问答接口 /api/open/chat —— 无需登录,指定模型 + 智能体做问答,可关闭思考模式
     app.include_router(open_chat.router)
 
+    # 极速问答 /api/direct-chat/stream —— 直连大模型流式输出,不走 lead agent / 工具 / 技能
+    app.include_router(direct_chat.router)
+
     # 开放接口 /api/open/3qfx/ask —— 无需登录,按 taskId 直接发起 3qfx 第一次问答(后台运行,落成真实会话)
     app.include_router(open_3qfx.router)
 

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

@@ -0,0 +1,149 @@
+"""Direct LLM chat — no lead agent, tools, skills, or memory.
+
+Used by the frontend 「极速」mode: stream tokens from ``create_chat_model``
+with thinking forced off so first-token latency matches a bare chat client.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+from collections.abc import AsyncIterator
+from typing import Any, Literal
+
+from fastapi import APIRouter, HTTPException
+from fastapi.responses import StreamingResponse
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
+from pydantic import BaseModel, Field
+
+from deerflow.config import get_app_config
+from deerflow.models import create_chat_model
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/direct-chat", tags=["direct-chat"])
+
+_HEARTBEAT_SECONDS = 15.0
+_MAX_MESSAGES = 40
+
+
+class DirectChatMessage(BaseModel):
+    role: Literal["user", "assistant", "system"]
+    content: str = ""
+
+
+class DirectChatRequest(BaseModel):
+    messages: list[DirectChatMessage] = Field(..., min_length=1)
+    model_name: str | None = None
+
+
+def _chunk_text(chunk: Any) -> str:
+    content = getattr(chunk, "content", None)
+    if isinstance(content, str):
+        return content
+    if isinstance(content, list):
+        parts: list[str] = []
+        for block in content:
+            if isinstance(block, str):
+                parts.append(block)
+            elif isinstance(block, dict) and isinstance(block.get("text"), str):
+                parts.append(block["text"])
+        return "".join(parts)
+    return ""
+
+
+def _build_lc_messages(body: DirectChatRequest) -> list[BaseMessage]:
+    built: list[BaseMessage] = []
+    for item in body.messages[-_MAX_MESSAGES:]:
+        text = (item.content or "").strip()
+        if not text:
+            continue
+        if item.role == "user":
+            built.append(HumanMessage(content=text))
+        elif item.role == "assistant":
+            built.append(AIMessage(content=text))
+        else:
+            built.append(SystemMessage(content=text))
+    if not any(isinstance(msg, HumanMessage) for msg in built):
+        raise HTTPException(status_code=400, detail="至少需要一条 user 消息")
+    return built
+
+
+def _sse(event: str, data: Any) -> str:
+    return f"event: {event}\ndata: {json.dumps(data, ensure_ascii=False)}\n\n"
+
+
+def _resolve_model_name(name: str | None) -> str:
+    config = get_app_config()
+    if not name:
+        if not config.models:
+            raise HTTPException(status_code=400, detail="未配置可用模型")
+        return config.models[0].name
+    if config.get_model_config(name) is None:
+        raise HTTPException(status_code=400, detail=f"模型不存在: {name}")
+    return name
+
+
+async def _direct_chat_event_stream(body: DirectChatRequest, model_name: str) -> AsyncIterator[str]:
+    lc_messages = _build_lc_messages(body)
+    queue: asyncio.Queue[tuple[str, Any]] = asyncio.Queue()
+    pieces: list[str] = []
+
+    async def produce() -> None:
+        try:
+            model = create_chat_model(
+                name=model_name,
+                thinking_enabled=False,
+                force_disable_thinking=True,
+            )
+            async for chunk in model.astream(lc_messages):
+                text = _chunk_text(chunk)
+                if text:
+                    pieces.append(text)
+                    await queue.put(("delta", {"text": text}))
+        except Exception as exc:  # noqa: BLE001 — stream errors become SSE error events
+            logger.exception("direct_chat 调用模型失败 (model=%s)", model_name)
+            await queue.put(("error", {"detail": f"模型调用失败:{exc}"}))
+        finally:
+            await queue.put(("__end__", None))
+
+    task = asyncio.create_task(produce())
+    try:
+        while True:
+            try:
+                event, data = await asyncio.wait_for(queue.get(), timeout=_HEARTBEAT_SECONDS)
+            except asyncio.TimeoutError:
+                yield ": keepalive\n\n"
+                continue
+            if event == "__end__":
+                break
+            if event == "error":
+                yield _sse("error", data)
+                return
+            yield _sse(event, data)
+
+        answer = "".join(pieces)
+        if not answer:
+            yield _sse("error", {"detail": "模型未返回任何文本。"})
+            return
+        yield _sse("result", {"answer": answer, "model_name": model_name})
+    finally:
+        if not task.done():
+            task.cancel()
+
+
+@router.post("/stream")
+async def direct_chat_stream(body: DirectChatRequest) -> StreamingResponse:
+    """Stream a plain chat completion. No agent graph, tools, or skills."""
+    model_name = _resolve_model_name(body.model_name)
+    _build_lc_messages(body)
+    return StreamingResponse(
+        _direct_chat_event_stream(body, model_name),
+        media_type="text/event-stream",
+        headers={
+            "Cache-Control": "no-cache",
+            "Connection": "keep-alive",
+            "X-Accel-Buffering": "no",
+        },
+    )

offline-backend-20260512/backend/config.yaml

@@ -33,6 +33,16 @@ concurrency:
     fail_open: true
 
 models: 
+- name: MiniMax-M2.7
+  display_name: MiniMax-M2.7
+  use: langchain_openai:ChatOpenAI
+  model: MiniMax-M2.7
+  api_key: sk-cp-mrsAGtzDpUl0TpOBPVoiRG_pWF1kDDN9_mDAnONBs6HIPcNUexSKtSbx2QOxfKBvJT6Xw6hDTV6hdkJYFWfNA8UtHQ08TiGJiosdRoW6q1sGb6Cb7D85NHk
+  base_url: https://api.minimaxi.com/v1
+  max_tokens: 4096
+  temperature: 1.0
+  supports_vision: true
+  supports_thinking: true
 - name: MiniMax-M2.7-fash
   display_name: MiniMax-M2.7-fash
   use: langchain_openai:ChatOpenAI
@@ -466,7 +476,7 @@ checkpointer:
 # 三层覆盖优先级(高->低):
 #   users/{user_id}/memory_config.json > .deer-flow/memory_user_overrides.json > 此处
 memory:
-  enabled: true
+  enabled: false # 临时关闭跨会话记忆（提取/注入/Hindsight 召回与 retain、memory 工具）
   version:
     v1 # 记忆版本: 'v1'(原版 DeerFlow, memory.json + LLM 自动提取)
     #           'v2'(USER.md/MEMORY.md + 可选 Hindsight)

offline-backend-20260512/backend/packages/harness/deerflow/agents/lead_agent/agent.py

@@ -40,77 +40,77 @@ logger = logging.getLogger(__name__)
 WRITING_SETUP_MAX_ROUNDS = 8
 REPORT_STRUCTURE_SETUP_MAX_ROUNDS = 8
 
-_ES_QUERY_ROUTING_OPEN_TAG = '<skill_routing skill="es_query">'
+_ES_QUERY_ROUTING_OPEN_TAG = '<skill_routing skill="es_query">'
-
-_SKILLS_BLOCKED_BY_EXCLUDED_TOOL: dict[str, frozenset[str]] = {
-    # 内置 tool 与历史 custom skill 目录存在两种拼写；禁用编排工具时两者都必须从系统提示和
-    # runtime skill allowlist 中消失，防止误配的席位仍看到「加载编排技能」。
-    "agent_orchestration": frozenset({"agent_orchestration", "agent-orchestration"}),
-}
-
-_ROUNDTABLE_COORDINATOR_AGENT_ID = "roundtable-coordinator"
-
-_NON_COORDINATOR_ORCHESTRATION_BOUNDARY = """
-<orchestration_capability_boundary>
-你不是多智能体圆桌总控，因此没有编排、派活或调度其它智能体的权限。
-不得加载、读取、检索或调用 agent_orchestration / agent-orchestration，
-不得声称准备使用编排技能；请直接完成当前问答或你的本职任务。
-</orchestration_capability_boundary>
-""".strip()
-
-
-def _enforce_coordinator_only_tool_exclusions(
-    agent_id: str | None,
-    excluded_tools: list[str] | None,
-) -> list[str] | None:
-    """Make orchestration unavailable to every agent except the fixed roundtable coordinator."""
-    if agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID:
-        return excluded_tools
-    effective = list(excluded_tools or [])
-    if "agent_orchestration" not in effective:
-        effective.append("agent_orchestration")
-    return effective
-
-
-def _append_orchestration_capability_boundary(system_prompt: str, agent_id: str | None) -> str:
-    """Reinforce the physical tool/skill gate in every non-coordinator system prompt."""
-    if agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID:
-        return system_prompt
-    return f"{system_prompt}\n\n{_NON_COORDINATOR_ORCHESTRATION_BOUNDARY}"
-
-
-def _filter_available_skills_for_excluded_tools(
-    available_skills: list[str] | None,
-    excluded_tools: list[str] | None,
-) -> list[str] | None:
-    """让工具级禁用同步收紧 skill allowlist，必要时把「全部」展开为安全列表。"""
-    if not excluded_tools:
-        return available_skills
-    excluded = {name.strip().lower() for name in excluded_tools if name}
-    blocked = {
-        skill_name
-        for tool_name, skill_names in _SKILLS_BLOCKED_BY_EXCLUDED_TOOL.items()
-        if tool_name in excluded
-        for skill_name in skill_names
-    }
-    if not blocked:
-        return available_skills
-    if available_skills is None:
-        # ``None`` 原本表示「全部启用技能可见」，无法表达「除了总控专属技能之外的全部」。
-        # 此时显式展开存储中的启用技能；扫描失败则 fail closed，避免角色隔离失效。
-        try:
-            from deerflow.skills.storage import get_or_new_skill_storage
-
-            available_skills = [
-                skill.name for skill in get_or_new_skill_storage().load_skills(enabled_only=True)
-            ]
-        except Exception:  # noqa: BLE001
-            logger.warning("Failed to expand skills while applying excluded-tool boundary", exc_info=True)
-            available_skills = []
-    return [name for name in available_skills if name.strip().lower() not in blocked]
 
-
+_SKILLS_BLOCKED_BY_EXCLUDED_TOOL: dict[str, frozenset[str]] = {
-def _log_es_query_routing_registration(
+    # 内置 tool 与历史 custom skill 目录存在两种拼写；禁用编排工具时两者都必须从系统提示和
+    # runtime skill allowlist 中消失，防止误配的席位仍看到「加载编排技能」。
+    "agent_orchestration": frozenset({"agent_orchestration", "agent-orchestration"}),
+}
+
+_ROUNDTABLE_COORDINATOR_AGENT_ID = "roundtable-coordinator"
+
+_NON_COORDINATOR_ORCHESTRATION_BOUNDARY = """
+<orchestration_capability_boundary>
+你不是多智能体圆桌总控，因此没有编排、派活或调度其它智能体的权限。
+不得加载、读取、检索或调用 agent_orchestration / agent-orchestration，
+不得声称准备使用编排技能；请直接完成当前问答或你的本职任务。
+</orchestration_capability_boundary>
+""".strip()
+
+
+def _enforce_coordinator_only_tool_exclusions(
+    agent_id: str | None,
+    excluded_tools: list[str] | None,
+) -> list[str] | None:
+    """Make orchestration unavailable to every agent except the fixed roundtable coordinator."""
+    if agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID:
+        return excluded_tools
+    effective = list(excluded_tools or [])
+    if "agent_orchestration" not in effective:
+        effective.append("agent_orchestration")
+    return effective
+
+
+def _append_orchestration_capability_boundary(system_prompt: str, agent_id: str | None) -> str:
+    """Reinforce the physical tool/skill gate in every non-coordinator system prompt."""
+    if agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID:
+        return system_prompt
+    return f"{system_prompt}\n\n{_NON_COORDINATOR_ORCHESTRATION_BOUNDARY}"
+
+
+def _filter_available_skills_for_excluded_tools(
+    available_skills: list[str] | None,
+    excluded_tools: list[str] | None,
+) -> list[str] | None:
+    """让工具级禁用同步收紧 skill allowlist，必要时把「全部」展开为安全列表。"""
+    if not excluded_tools:
+        return available_skills
+    excluded = {name.strip().lower() for name in excluded_tools if name}
+    blocked = {
+        skill_name
+        for tool_name, skill_names in _SKILLS_BLOCKED_BY_EXCLUDED_TOOL.items()
+        if tool_name in excluded
+        for skill_name in skill_names
+    }
+    if not blocked:
+        return available_skills
+    if available_skills is None:
+        # ``None`` 原本表示「全部启用技能可见」，无法表达「除了总控专属技能之外的全部」。
+        # 此时显式展开存储中的启用技能；扫描失败则 fail closed，避免角色隔离失效。
+        try:
+            from deerflow.skills.storage import get_or_new_skill_storage
+
+            available_skills = [
+                skill.name for skill in get_or_new_skill_storage().load_skills(enabled_only=True)
+            ]
+        except Exception:  # noqa: BLE001
+            logger.warning("Failed to expand skills while applying excluded-tool boundary", exc_info=True)
+            available_skills = []
+    return [name for name in available_skills if name.strip().lower() not in blocked]
+
+
+def _log_es_query_routing_registration(
     *,
     system_prompt: str,
     app_config: AppConfig,
@@ -401,9 +401,9 @@ def _build_middlewares(
     if summarization_middleware is not None:
         middlewares.append(summarization_middleware)
 
-    # Add TodoList middleware if plan mode is enabled
+    # Add TodoList middleware if plan mode is enabled
-    is_plan_mode = cfg.get("is_plan_mode", False)
+    is_plan_mode = cfg.get("is_plan_mode", False)
-    is_bootstrap = cfg.get("is_bootstrap", False)
+    is_bootstrap = cfg.get("is_bootstrap", False)
     is_writing_setup = cfg.get("is_writing_setup", False)
     is_report_structure_setup = cfg.get("is_report_structure_setup", False)
     todo_list_middleware = _create_todo_list_middleware(is_plan_mode)
@@ -433,7 +433,9 @@ def _build_middlewares(
 
     # Add MemoryMiddleware (after TitleMiddleware) — skip in bootstrap mode (agent creation flow) and ephemeral runs
     memory_injection_enabled = cfg.get("memory_injection_enabled", True)
-    if not is_bootstrap and not is_writing_setup and not is_report_structure_setup and not is_ephemeral:
+    memory_cfg = getattr(resolved_app_config, "memory", None)
+    memory_globally_enabled = memory_cfg is not None and getattr(memory_cfg, "enabled", False)
+    if memory_globally_enabled and not is_bootstrap and not is_writing_setup and not is_report_structure_setup and not is_ephemeral:
         middlewares.append(MemoryMiddleware(agent_name=agent_name, memory_config=resolved_app_config.memory, injection_enabled=memory_injection_enabled))
 
     # KnowledgeRagMiddleware — inject knowledge-base recall (phase 2). Gated
@@ -574,10 +576,10 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
     # actually injected. Default off → no behavior change for normal chats.
     thinking_force_disabled = bool(cfg.get("thinking_force_disabled", False))
     reasoning_effort = cfg.get("reasoning_effort", None)
-    requested_model_name: str | None = cfg.get("model_name") or cfg.get("model")
+    requested_model_name: str | None = cfg.get("model_name") or cfg.get("model")
-    is_plan_mode = cfg.get("is_plan_mode", False)
+    is_plan_mode = cfg.get("is_plan_mode", False)
-    disable_tools = bool(cfg.get("disable_tools", False))
+    disable_tools = bool(cfg.get("disable_tools", False))
-    subagent_enabled = cfg.get("subagent_enabled", False)
+    subagent_enabled = cfg.get("subagent_enabled", False)
     max_concurrent_subagents = cfg.get("max_concurrent_subagents", 3)
     is_bootstrap = cfg.get("is_bootstrap", False)
     # 写作配置 Q&A：与 is_bootstrap 同构的另一种「最小化 bootstrap」——挂 setup_writing 工具、
@@ -603,11 +605,11 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
 
         if not is_writing_mode_report_path(writing_artifact_path):
             writing_artifact_path = None
-    agent_id = validate_agent_id(cfg.get("agent_id") or cfg.get("agent_name"))
+    agent_id = validate_agent_id(cfg.get("agent_id") or cfg.get("agent_name"))
-    requested_excluded_tools = _enforce_coordinator_only_tool_exclusions(
+    requested_excluded_tools = _enforce_coordinator_only_tool_exclusions(
-        agent_id,
+        agent_id,
-        cfg.get("excluded_tools") or None,
+        cfg.get("excluded_tools") or None,
-    )
+    )
 
     try:
         agent_config = load_agent_config(agent_id) if not is_bootstrap and not is_writing_setup and not is_report_structure_setup else None
@@ -656,14 +658,14 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
 
     from deerflow.agents.deep_research.retrieval import merge_collector_skill_allowlist, runtime_extra_skills
 
-    runtime_available_skills = merge_collector_skill_allowlist(
+    runtime_available_skills = merge_collector_skill_allowlist(
-        agent_id, runtime_available_skills, runtime_extra_skills(cfg)
+        agent_id, runtime_available_skills, runtime_extra_skills(cfg)
-    )
+    )
-    runtime_available_skills = _filter_available_skills_for_excluded_tools(
+    runtime_available_skills = _filter_available_skills_for_excluded_tools(
-        runtime_available_skills,
+        runtime_available_skills,
-        requested_excluded_tools,
+        requested_excluded_tools,
-    )
+    )
-    prompt_available_skills = set(runtime_available_skills) if runtime_available_skills is not None else None
+    prompt_available_skills = set(runtime_available_skills) if runtime_available_skills is not None else None
 
     config["metadata"].update(
         {
@@ -744,14 +746,14 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
         # Special bootstrap agent with minimal prompt for initial custom agent creation flow
         return create_agent(
             model=create_chat_model(name=model_name, thinking_enabled=thinking_enabled, force_disable_thinking=thinking_force_disabled, app_config=resolved_app_config),
-            tools=get_available_tools(
+            tools=get_available_tools(
-                model_name=model_name,
+                model_name=model_name,
-                subagent_enabled=subagent_enabled,
+                subagent_enabled=subagent_enabled,
-                is_scheduled_run=cfg.get("is_scheduled_run", False),
+                is_scheduled_run=cfg.get("is_scheduled_run", False),
-                excluded_tools=requested_excluded_tools,
+                excluded_tools=requested_excluded_tools,
-                allow_agent_orchestration=agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID,
+                allow_agent_orchestration=agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID,
-                app_config=resolved_app_config,
+                app_config=resolved_app_config,
-            )
+            )
             + [setup_agent],
             middleware=_build_middlewares(config, model_name=model_name, app_config=resolved_app_config),
             system_prompt=apply_prompt_template(
@@ -771,19 +773,19 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
     # Default lead agent (unchanged behavior)
     is_notebook_mode = bool(cfg.get("notebook_search_space_id"))
     notebook_source_ids: list[int] = cfg.get("notebook_source_ids") or []
-    default_tools = (
+    default_tools = (
-        []
+        []
-        if disable_tools
+        if disable_tools
-        else get_available_tools(
+        else get_available_tools(
-            model_name=model_name,
+            model_name=model_name,
-            groups=agent_config.tool_groups if agent_config else None,
+            groups=agent_config.tool_groups if agent_config else None,
-            subagent_enabled=subagent_enabled,
+            subagent_enabled=subagent_enabled,
-            is_scheduled_run=cfg.get("is_scheduled_run", False),
+            is_scheduled_run=cfg.get("is_scheduled_run", False),
-            excluded_tools=requested_excluded_tools,
+            excluded_tools=requested_excluded_tools,
-            allow_agent_orchestration=agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID,
+            allow_agent_orchestration=agent_id == _ROUNDTABLE_COORDINATOR_AGENT_ID,
-            app_config=resolved_app_config,
+            app_config=resolved_app_config,
-        )
+        )
-    )
+    )
     if agent_id == FORCED_RESEARCH_AGENT_ID:
         default_tools = filter_forced_research_tools(default_tools)
     if is_notebook_mode:
@@ -825,8 +827,8 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
             writing_mode=writing_mode,
             writing_artifact_path=writing_artifact_path,
         )
-    else:
+    else:
-        system_prompt = apply_prompt_template(
+        system_prompt = apply_prompt_template(
             subagent_enabled=subagent_enabled,
             max_concurrent_subagents=max_concurrent_subagents,
             agent_id=agent_id,
@@ -839,22 +841,22 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
             rag_mode_enabled=rag_mode_enabled,
             is_notebook_mode=is_notebook_mode,
             notebook_source_ids=notebook_source_ids,
-            is_scheduled_run=bool(cfg.get("is_scheduled_run", False)),
+            is_scheduled_run=bool(cfg.get("is_scheduled_run", False)),
-        )
+        )
-
+
-    # 前端可提供当前视觉明暗模式给页面生成类任务。把值放入系统提示而不是
+    # 前端可提供当前视觉明暗模式给页面生成类任务。把值放入系统提示而不是
-    # 指望模型从 ToolRuntime.context 猜测，确保自定义 SOUL 也能稳定使用。
+    # 指望模型从 ToolRuntime.context 猜测，确保自定义 SOUL 也能稳定使用。
-    presentation_theme = str(cfg.get("presentation_theme") or "").strip().lower()
+    presentation_theme = str(cfg.get("presentation_theme") or "").strip().lower()
-    if presentation_theme in {"dark", "light"}:
+    if presentation_theme in {"dark", "light"}:
-        system_prompt += (
+        system_prompt += (
-            "\n\n【当前界面主题】\n"
+            "\n\n【当前界面主题】\n"
-            f"当前页面呈现主题为 `{presentation_theme}`。若本轮生成汇报页面，请优先选择同色系 HTML 模板；"
+            f"当前页面呈现主题为 `{presentation_theme}`。若本轮生成汇报页面，请优先选择同色系 HTML 模板；"
-            "除非用户明确要求覆盖该主题。"
+            "除非用户明确要求覆盖该主题。"
-        )
+        )
-
+
-    system_prompt = _append_orchestration_capability_boundary(system_prompt, agent_id)
+    system_prompt = _append_orchestration_capability_boundary(system_prompt, agent_id)
-
+
-    _log_es_query_routing_registration(
+    _log_es_query_routing_registration(
         system_prompt=system_prompt,
         app_config=resolved_app_config,
         agent_id=agent_id,

offline-backend-20260512/backend/packages/harness/deerflow/agents/lead_agent/prompt.py

@@ -9,8 +9,8 @@ from functools import lru_cache
 from typing import TYPE_CHECKING
 from zoneinfo import ZoneInfo
 
-from deerflow.config.agents_config import load_agent_soul
+from deerflow.config.agents_config import load_agent_soul
-from deerflow.config.system_settings import load_system_settings
+from deerflow.config.system_settings import load_system_settings
 from deerflow.skills.storage import get_or_new_skill_storage
 from deerflow.skills.types import Skill, SkillCategory
 from deerflow.subagents import get_available_subagent_names
@@ -487,7 +487,7 @@ task(description="Oracle Cloud analysis", prompt="...", subagent_type="general-p
 </subagent_system>"""
 
 
-_ORDINARY_QA_MARKDOWN_FORMAT_SECTION = """
+_ORDINARY_QA_MARKDOWN_FORMAT_SECTION = """
 <ordinary_qa_markdown_format>
 当普通问答需要输出带章节结构的较长内容时，必须采用以下 Markdown 规范，以便下载为 Word 后得到正确的自动编号和公文标题格式：
 - 文档主标题使用 `# 主标题`；主标题只写标题文字，不添加章节编号。
@@ -496,19 +496,19 @@ _ORDINARY_QA_MARKDOWN_FORMAT_SECTION = """
 - 默认禁止使用以 `-`、`*`、`+` 或 `•` 开头的无序圆点列表；并列内容优先改写为完整自然段，确需逐项表达时使用有序列表。只有用户明确要求无序列表时才使用。
 - 简短问答不必为了套用格式而强行添加标题；本规范只约束实际使用的标题和列表。
 </ordinary_qa_markdown_format>
-"""
+"""
-
+
-
+
-def _ordinary_qa_markdown_format_enabled() -> bool:
+def _ordinary_qa_markdown_format_enabled() -> bool:
-    """Return the admin-controlled formal Markdown prompt switch."""
+    """Return the admin-controlled formal Markdown prompt switch."""
-    try:
+    try:
-        return bool(load_system_settings().prompt_prefix.ordinary_qa_markdown_format_enabled)
+        return bool(load_system_settings().prompt_prefix.ordinary_qa_markdown_format_enabled)
-    except Exception:
+    except Exception:
-        logger.debug("Failed to read the ordinary Q&A Markdown format switch; using disabled", exc_info=True)
+        logger.debug("Failed to read the ordinary Q&A Markdown format switch; using disabled", exc_info=True)
-        return False
+        return False
-
+
-
+
-SYSTEM_PROMPT_TEMPLATE = """
+SYSTEM_PROMPT_TEMPLATE = """
 <role>
 You are {agent_name}, an internal super agent.
 </role>
@@ -883,11 +883,16 @@ def _get_memory_context(agent_name: str | None = None, *, app_config: AppConfig
         return ""
     try:
         from deerflow.agents.memory.manager import build_memory_manager
-        from deerflow.config.memory_config import get_effective_memory_config
+        from deerflow.config.memory_config import get_effective_memory_config, get_memory_config
         from deerflow.runtime.user_context import get_effective_user_id
 
+        if not get_memory_config().enabled:
+            return ""
+
         user_id = get_effective_user_id()
         config = get_effective_memory_config(user_id)
+        if not config.enabled or not config.injection.enabled:
+            return ""
 
         manager = build_memory_manager(
             user_id=user_id,
@@ -1547,13 +1552,13 @@ When a search, knowledge, skill, or MCP tool returns a result list:
         if rag_mode_enabled
         else ""
     )
-    ordinary_qa_format_section = (
+    ordinary_qa_format_section = (
-        _ORDINARY_QA_MARKDOWN_FORMAT_SECTION
+        _ORDINARY_QA_MARKDOWN_FORMAT_SECTION
-        if _ordinary_qa_markdown_format_enabled()
+        if _ordinary_qa_markdown_format_enabled()
-        and not is_bootstrap
+        and not is_bootstrap
-        and not writing_mode
+        and not writing_mode
-        and not is_notebook_mode
+        and not is_notebook_mode
-        and not is_scheduled_run
+        and not is_scheduled_run
         else ""
     )
 

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

@@ -16,7 +16,7 @@
 ============
 ``get_effective_memory_config(user_id)`` 按优先级合并 (高 -> 低):
   1. per-user 覆盖   数据库 ``user_memory_configs`` 表 (经进程内 cache 读取)
-     (有 per-user 记录时自动强制 enabled=True)
+     (仅白名单字段,不能覆盖 ``enabled``)
   2. config.yaml     ``memory:`` 段 (即 ``get_memory_config()``)
   3. Pydantic 默认值
 
@@ -254,13 +254,12 @@ def get_effective_memory_config(user_id: str) -> MemoryConfig:
     """返回某用户的生效记忆配置 (同步,从进程内 cache 读取 per-user 覆盖)。
 
     优先级 (高 -> 低):per-user DB 覆盖 (经 cache) > config.yaml > 默认值。
-    有 per-user 记录时自动强制 enabled=True。
+    ``enabled`` 始终以 config.yaml 为准,用户覆盖不能把它重新打开。
     """
     base = _memory_config.model_dump()
     recall_budget = _recall_budget_cache.get(user_id)
     if recall_budget is not None:
         base.setdefault("hindsight", {})["recall_budget"] = recall_budget
-        base["enabled"] = True
     try:
         return MemoryConfig(**base)
     except Exception as exc:  # noqa: BLE001 - 覆盖产生非法配置时降级

offline-backend-20260512/backend/packages/harness/deerflow/models/factory.py

@@ -31,6 +31,96 @@ def _vllm_disable_chat_template_kwargs(chat_template_kwargs: dict) -> dict:
     return disable_kwargs
 
 
+# Qwen3.8 chat templates only accept these three effort names.
+_QWEN_REASONING_EFFORT = {
+    "minimal": "low",
+    "low": "low",
+    "medium": "medium",
+    "high": "xhigh",
+    "xhigh": "xhigh",
+}
+
+_OPENAI_THINKING_OFF_EXTRA_BODY = {
+    "enable_thinking": False,
+    "chat_template_kwargs": {"enable_thinking": False},
+    "thinking": {"type": "disabled"},
+}
+
+
+def _is_vllm_provider(model_use: str) -> bool:
+    lowered = (model_use or "").lower()
+    return "vllm_provider" in lowered or lowered.endswith(":vllmchatmodel")
+
+
+def _is_qwen38_model(model_config) -> bool:
+    blob = f"{getattr(model_config, 'name', '')} {getattr(model_config, 'model', '')}".lower()
+    return "qwen3.8" in blob
+
+
+def _should_control_openai_thinking(model_config) -> bool:
+    """Whether this OpenAI-compatible model needs explicit thinking on/off flags.
+
+    Qwen3.8 (and current vLLM reasoning parsers) default to thinking at ``xhigh``.
+    If DeerFlow does not send ``enable_thinking: false``, the first visible answer
+    token waits until that hidden reasoning finishes — third-party chat UIs that
+    disable thinking or stream the reasoning field therefore feel much faster.
+    """
+    if getattr(model_config, "supports_thinking", False):
+        return True
+    if _is_vllm_provider(getattr(model_config, "use", "")):
+        return True
+    return _is_qwen38_model(model_config)
+
+
+def _map_qwen_reasoning_effort(effort: object) -> str | None:
+    if effort is None:
+        return None
+    return _QWEN_REASONING_EFFORT.get(str(effort).strip().lower())
+
+
+def _apply_openai_thinking_control(
+    model_config,
+    model_class,
+    model_settings_from_config: dict,
+    *,
+    thinking_enabled: bool,
+    reasoning_effort: object,
+) -> None:
+    """Inject vLLM/Qwen thinking flags when the UI toggle is on or off."""
+    if "extra_body" not in getattr(model_class, "model_fields", {}):
+        return
+    qwen_vllm = _is_vllm_provider(getattr(model_config, "use", "")) or _is_qwen38_model(model_config)
+    if thinking_enabled:
+        if not qwen_vllm:
+            return
+        enable_body: dict = {
+            "enable_thinking": True,
+            "chat_template_kwargs": {"enable_thinking": True},
+        }
+        mapped_effort = _map_qwen_reasoning_effort(reasoning_effort)
+        if mapped_effort:
+            enable_body["chat_template_kwargs"]["reasoning_effort"] = mapped_effort
+        model_settings_from_config["extra_body"] = _deep_merge_dicts(
+            model_settings_from_config.get("extra_body"),
+            enable_body,
+        )
+        return
+    if not _should_control_openai_thinking(model_config):
+        return
+    disable_body = (
+        {
+            "enable_thinking": False,
+            "chat_template_kwargs": {"enable_thinking": False},
+        }
+        if qwen_vllm
+        else _OPENAI_THINKING_OFF_EXTRA_BODY
+    )
+    model_settings_from_config["extra_body"] = _deep_merge_dicts(
+        model_settings_from_config.get("extra_body"),
+        disable_body,
+    )
+
+
 def _enable_stream_usage_by_default(model_use_path: str, model_settings_from_config: dict) -> None:
     """Enable stream usage for OpenAI-compatible models unless explicitly configured.
 
@@ -127,10 +217,19 @@ def create_chat_model(name: str | None = None, thinking_enabled: bool = False, *
         elif has_thinking_settings and effective_wte.get("thinking", {}).get("type"):
             # Native langchain_anthropic: thinking is a direct constructor parameter
             model_settings_from_config["thinking"] = {"type": "disabled"}
+    requested_reasoning_effort = kwargs.get("reasoning_effort")
     if not model_config.supports_reasoning_effort:
         kwargs.pop("reasoning_effort", None)
         model_settings_from_config.pop("reasoning_effort", None)
 
+    _apply_openai_thinking_control(
+        model_config,
+        model_class,
+        model_settings_from_config,
+        thinking_enabled=thinking_enabled,
+        reasoning_effort=requested_reasoning_effort,
+    )
+
     # Hard override: force-disable thinking regardless of the per-model config shape.
     # Injected only for OpenAI-compatible classes (those declaring `extra_body`);
     # other providers would reject the kwarg, so they are skipped (they ignore it).
@@ -139,15 +238,15 @@ def create_chat_model(name: str | None = None, thinking_enabled: bool = False, *
     # (DeepSeek-V3.1+/Qwen3/GLM hybrid models on api.siliconflow.cn — the knob the
     # nested ``chat_template_kwargs`` shape does NOT reach), vLLM/Qwen native
     # ``chat_template_kwargs.enable_thinking``, and Zhipu GLM ``thinking.type``.
-    # Only models that explicitly opt into thinking should receive vendor-specific
+    # Only models that explicitly opt into thinking should receive vendor-specific
-    # disable payloads. Generic OpenAI-compatible gateways (including LiteLLM)
+    # disable payloads. Generic OpenAI-compatible gateways (including LiteLLM)
-    # may reject these otherwise-unknown fields instead of forwarding them.
+    # may reject these otherwise-unknown fields instead of forwarding them.
-    if (
+    if (
-        force_disable_thinking
+        force_disable_thinking
-        and not thinking_enabled
+        and not thinking_enabled
-        and model_config.supports_thinking
+        and model_config.supports_thinking
-        and "extra_body" in getattr(model_class, "model_fields", {})
+        and "extra_body" in getattr(model_class, "model_fields", {})
-    ):
+    ):
         model_settings_from_config["extra_body"] = _deep_merge_dicts(
             model_settings_from_config.get("extra_body"),
             {"enable_thinking": False, "chat_template_kwargs": {"enable_thinking": False}, "thinking": {"type": "disabled"}},

offline-backend-20260512/backend/packages/harness/deerflow/models/patched_openai.py

@@ -29,11 +29,11 @@ from typing import Any
 
 from langchain_core.language_models import LanguageModelInput
 from langchain_core.messages import AIMessage, AIMessageChunk
-from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
+from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
-from langchain_openai import ChatOpenAI
+from langchain_openai import ChatOpenAI
-
+
-from deerflow.models.message_ordering import normalize_chat_payload_messages
+from deerflow.models.message_ordering import normalize_chat_payload_messages
-
+
 
 class PatchedChatOpenAI(ChatOpenAI):
     """ChatOpenAI with ``thought_signature`` preservation for Gemini thinking via OpenAI gateway.
@@ -89,16 +89,16 @@ class PatchedChatOpenAI(ChatOpenAI):
                 if payload_msg.get("role") == "assistant" and isinstance(orig_msg, AIMessage):
                     _restore_tool_call_signatures(payload_msg, orig_msg)
                     _restore_reasoning_content(payload_msg, orig_msg)
-        else:
+        else:
-            # Fallback: match assistant-role entries positionally against AIMessages.
+            # Fallback: match assistant-role entries positionally against AIMessages.
-            ai_messages = [m for m in original_messages if isinstance(m, AIMessage)]
+            ai_messages = [m for m in original_messages if isinstance(m, AIMessage)]
-            assistant_payloads = [(i, m) for i, m in enumerate(payload_messages) if m.get("role") == "assistant"]
+            assistant_payloads = [(i, m) for i, m in enumerate(payload_messages) if m.get("role") == "assistant"]
-            for (_, payload_msg), ai_msg in zip(assistant_payloads, ai_messages):
+            for (_, payload_msg), ai_msg in zip(assistant_payloads, ai_messages):
-                _restore_tool_call_signatures(payload_msg, ai_msg)
+                _restore_tool_call_signatures(payload_msg, ai_msg)
-                _restore_reasoning_content(payload_msg, ai_msg)
+                _restore_reasoning_content(payload_msg, ai_msg)
-
+
-        normalize_chat_payload_messages(payload)
+        normalize_chat_payload_messages(payload)
-        return payload
+        return payload
 
     def _convert_chunk_to_generation_chunk(
         self,
@@ -208,11 +208,21 @@ def _restore_reasoning_content(payload_msg: dict, orig_msg: AIMessage) -> None:
 
 
 def _extract_reasoning_content(payload: dict | None) -> str | None:
-    """Extract reasoning text from provider payload delta/message objects."""
+    """Extract reasoning text from provider payload delta/message objects.
+
+    vLLM Qwen reasoning parsers use ``reasoning_content`` on streaming deltas
+    and ``reasoning`` on some non-stream / older builds. Read both so the UI
+    can show the first thinking token instead of waiting for answer content.
+    """
     if not isinstance(payload, dict):
         return None
     reasoning_content = payload.get("reasoning_content")
-    return reasoning_content if isinstance(reasoning_content, str) and reasoning_content else None
+    if isinstance(reasoning_content, str) and reasoning_content:
+        return reasoning_content
+    reasoning = payload.get("reasoning")
+    if isinstance(reasoning, str) and reasoning:
+        return reasoning
+    return None
 
 
 def _append_reasoning_content(message: AIMessage | AIMessageChunk, reasoning_content: str) -> AIMessage | AIMessageChunk:

offline-backend-20260512/backend/packages/harness/deerflow/models/vllm_provider.py

@@ -32,11 +32,11 @@ from langchain_core.messages import (
 )
 from langchain_core.messages.tool import tool_call_chunk
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
-from langchain_openai import ChatOpenAI
+from langchain_openai import ChatOpenAI
-from langchain_openai.chat_models.base import _create_usage_metadata
+from langchain_openai.chat_models.base import _create_usage_metadata
-
+
-from deerflow.models.message_ordering import normalize_chat_payload_messages
+from deerflow.models.message_ordering import normalize_chat_payload_messages
-
+
 
 def _normalize_vllm_chat_template_kwargs(payload: dict[str, Any]) -> None:
     """Map DeerFlow's legacy ``thinking`` toggle to vLLM/Qwen's ``enable_thinking``.
@@ -107,6 +107,8 @@ def _convert_delta_to_message_chunk_with_reasoning(_dict: Mapping[str, Any], def
         additional_kwargs["function_call"] = function_call
 
     reasoning = _dict.get("reasoning")
+    if reasoning is None:
+        reasoning = _dict.get("reasoning_content")
     if reasoning is not None:
         additional_kwargs["reasoning"] = reasoning
         reasoning_text = _reasoning_to_text(reasoning)
@@ -184,14 +186,14 @@ class VllmChatModel(ChatOpenAI):
             for payload_msg, orig_msg in zip(payload_messages, original_messages):
                 if payload_msg.get("role") == "assistant" and isinstance(orig_msg, AIMessage):
                     _restore_reasoning_field(payload_msg, orig_msg)
-        else:
+        else:
-            ai_messages = [message for message in original_messages if isinstance(message, AIMessage)]
+            ai_messages = [message for message in original_messages if isinstance(message, AIMessage)]
-            assistant_payloads = [message for message in payload_messages if message.get("role") == "assistant"]
+            assistant_payloads = [message for message in payload_messages if message.get("role") == "assistant"]
-            for payload_msg, ai_msg in zip(assistant_payloads, ai_messages):
+            for payload_msg, ai_msg in zip(assistant_payloads, ai_messages):
-                _restore_reasoning_field(payload_msg, ai_msg)
+                _restore_reasoning_field(payload_msg, ai_msg)
-
+
-        normalize_chat_payload_messages(payload)
+        normalize_chat_payload_messages(payload)
-        return payload
+        return payload
 
     def _create_chat_result(self, response: dict | openai.BaseModel, generation_info: dict | None = None) -> ChatResult:
         """Preserve vLLM reasoning on non-streaming responses."""

offline-backend-20260512/backend/tests/test_model_management.py

@@ -239,3 +239,66 @@ def test_force_disable_thinking_skips_generic_openai_models_without_thinking_sup
     )
 
     assert chat_model.extra_body is None
+
+
+def _extra_body(chat_model) -> dict:
+    body = chat_model.extra_body or {}
+    return body if isinstance(body, dict) else dict(body)
+
+
+def test_qwen38_flash_mode_disables_default_xhigh_thinking() -> None:
+    """Qwen3.8 defaults to thinking=xhigh; flash must send enable_thinking=false."""
+    config = AppConfig.model_construct(
+        models=[
+            ModelConfig(
+                name="qwen3.8-27b",
+                use="langchain_openai:ChatOpenAI",
+                model="Qwen/Qwen3.8-27B",
+                api_key="test-key",
+                base_url="http://vllm.example/v1",
+                supports_thinking=False,
+            )
+        ]
+    )
+
+    chat_model = create_chat_model("qwen3.8-27b", thinking_enabled=False, app_config=config)
+    extra_body = _extra_body(chat_model)
+
+    assert extra_body.get("enable_thinking") is False
+    assert extra_body.get("chat_template_kwargs", {}).get("enable_thinking") is False
+
+
+def test_qwen38_thinking_mode_sends_medium_reasoning_effort() -> None:
+    config = AppConfig.model_construct(
+        models=[
+            ModelConfig(
+                name="qwen3.8-27b",
+                use="langchain_openai:ChatOpenAI",
+                model="qwen3.8-27b",
+                api_key="test-key",
+                base_url="http://vllm.example/v1",
+                supports_thinking=True,
+            )
+        ]
+    )
+
+    chat_model = create_chat_model(
+        "qwen3.8-27b",
+        thinking_enabled=True,
+        reasoning_effort="medium",
+        app_config=config,
+    )
+    extra_body = _extra_body(chat_model)
+    kwargs = extra_body.get("chat_template_kwargs") or {}
+
+    assert extra_body.get("enable_thinking") is True
+    assert kwargs.get("enable_thinking") is True
+    assert kwargs.get("reasoning_effort") == "medium"
+
+
+def test_extract_reasoning_reads_vllm_reasoning_field() -> None:
+    from deerflow.models.patched_openai import _extract_reasoning_content
+
+    assert _extract_reasoning_content({"reasoning": "先分析问题"}) == "先分析问题"
+    assert _extract_reasoning_content({"reasoning_content": "逐步推理"}) == "逐步推理"
+    assert _extract_reasoning_content({"content": "答案"}) is None

offline-backend-20260512/config.yaml

@@ -264,7 +264,7 @@ ai_writing:
 # 三层覆盖优先级(高->低):
 #   users/{user_id}/memory_config.json > .deer-flow/memory_user_overrides.json > 此处
 memory:
-  enabled: true
+  enabled: false # 临时关闭跨会话记忆（提取/注入/Hindsight 召回与 retain、memory 工具）
   version: v1
   provider: hindsight              # 'builtin' | 'hindsight'(外部 provider 名)
                                    # builtin 始终启用,这里只决定 external 选哪个