代码提交

2026-08-12 14:32:47 +08:00
1 parent 17a12bb7b6
commit 783e698b6e
@@ -15,6 +15,7 @@ import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
 import { apiFetch } from "@/core/api";
 import { getBackendBaseURL } from "@/core/config";
 import { isThreadRagModeLocked, useLocalSettings } from "@/core/settings";
+import { isSingleRoundRagMessage } from "@/core/threads/use-single-round-rag";
 import { useSkills } from "@/core/skills/hooks";
 import type { SkillDisplayConfig } from "@/core/skills/type";
 import {
@@ -92,6 +93,13 @@ const ChatBox: React.FC<{
  const [settings] = useLocalSettings();
  const ragModeEnabled =
    settings.display.ragModeEnabled || isThreadRagModeLocked(threadId);
+  // Frontend single-round RAG writes its own source tool message, so it should
+  // use the same reference panel without changing the user's global RAG mode.
+  const hasSingleRoundRag = useMemo(
+    () => (thread.values.messages ?? []).some(isSingleRoundRagMessage),
+    [thread.values.messages],
+  );
+  const referencesEnabled = ragModeEnabled || hasSingleRoundRag;
  const { skills } = useSkills();

  const {
@@ -106,11 +114,11 @@ const ChatBox: React.FC<{

  const [autoSelectFirstArtifact, setAutoSelectFirstArtifact] = useState(true);
  const skillDisplayMap = useMemo(
-    () => (ragModeEnabled ? buildSkillDisplayMap(skills) : new Map()),
-    [ragModeEnabled, skills],
+    () => (referencesEnabled ? buildSkillDisplayMap(skills) : new Map()),
+    [referencesEnabled, skills],
  );
  const fallbackReferenceBatches = useMemo(() => {
-    if (!ragModeEnabled) {
+    if (!referencesEnabled) {
      return [];
    }
    return buildTurnReferenceBatches(
@@ -118,9 +126,9 @@ const ChatBox: React.FC<{
      skillDisplayMap,
      thread.isLoading,
    );
-  }, [ragModeEnabled, skillDisplayMap, thread.isLoading, thread.values.messages]);
+  }, [referencesEnabled, skillDisplayMap, thread.isLoading, thread.values.messages]);
  useEffect(() => {
-    if (!ragModeEnabled) {
+    if (!referencesEnabled) {
      setBackendReferenceBatches([]);
      return;
    }
@@ -156,7 +164,7 @@ const ChatBox: React.FC<{
        }
      });
    return () => controller.abort();
-  }, [ragModeEnabled, thread.isLoading, threadId, thread.values.messages]);
+  }, [referencesEnabled, thread.isLoading, threadId, thread.values.messages]);
  const adaptedBackendReferenceBatches = useMemo(
    () =>
      adaptBackendReferenceBatches(
@@ -175,7 +183,7 @@ const ChatBox: React.FC<{
    [adaptedBackendReferenceBatches, fallbackReferenceBatches],
  );
  useEffect(() => {
-    if (!ragModeEnabled) {
+    if (!referencesEnabled) {
      return;
    }
    const signature = JSON.stringify({
@@ -202,7 +210,7 @@ const ChatBox: React.FC<{
      fallbackBatches: debugReferenceBatches(fallbackReferenceBatches),
      finalBatches: debugReferenceBatches(referenceBatches),
    });
-  }, [adaptedBackendReferenceBatches, backendReferenceBatches, fallbackReferenceBatches, ragModeEnabled, referenceBatches, threadId]);
+  }, [adaptedBackendReferenceBatches, backendReferenceBatches, fallbackReferenceBatches, referencesEnabled, referenceBatches, threadId]);
  const latestReferenceBatch =
    referenceBatches.length > 0
      ? referenceBatches[referenceBatches.length - 1]!
@@ -213,7 +221,7 @@ const ChatBox: React.FC<{
  const referenceSources = activeReferenceBatch?.sources ?? [];
  const hasCitationReferences = referenceSources.length > 0;
  useEffect(() => {
-    if (!ragModeEnabled || !activeReferenceBatch) {
+    if (!referencesEnabled || !activeReferenceBatch) {
      return;
    }
    logReferenceDebug("frontend-active-reference-batch-payload", threadId, {
@@ -222,7 +230,7 @@ const ChatBox: React.FC<{
      sourceCount: activeReferenceBatch.sources.length,
      sources: activeReferenceBatch.sources.map(debugReferenceSource),
    });
-  }, [activeReferenceBatch, ragModeEnabled, threadId]);
+  }, [activeReferenceBatch, referencesEnabled, threadId]);
  useEffect(() => {
    if (hasCitationReferences) {
      setReferencesOpen(true);
@@ -64,6 +64,7 @@ import { getBackendBaseURL } from "@/core/config";
 import { useI18n } from "@/core/i18n/hooks";
 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 { textOfMessage } from "@/core/threads/utils";
 import { desensitize } from "@/lib/desensitize";
@@ -133,8 +134,9 @@ export function InputBox({
  onSubmit,
  onStop,
  promptPrefix,
-  agentSelector,
-  assistantId,
+  agentSelector,
+  extraModels = [],
+  assistantId,
  hideAdminRecommendedQuestions,
  compact,
  ...props
@@ -190,16 +192,23 @@ export function InputBox({
   * homepage (``ChatPage``) passes this; ``AgentChatPage`` omits it because the
   * thread is already bound to one agent.
   */
-  agentSelector?: {
-    selectedAgentId: string | null;
-    onAgentChange: (agentId: string | null) => void;
-  };
-}) {
+  agentSelector?: {
+    selectedAgentId: string | null;
+    onAgentChange: (agentId: string | null) => void;
+  };
+  /** Page-scoped model choices implemented outside the DeerFlow model API. */
+  extraModels?: Model[];
+}) {
  const { t } = useI18n();
  const [localSettings, setLocalSettings] = useLocalSettings();
  const searchParams = useSearchParams();
-  const [modelDialogOpen, setModelDialogOpen] = useState(false);
-  const { models } = useModels();
+  const [modelDialogOpen, setModelDialogOpen] = useState(false);
+  const { models } = useModels();
+  const singleRoundRagActive =
+    context.execution_profile === "single_round_rag";
+  const modelOptions = useMemo(() => {
+    return singleRoundRagActive ? extraModels : models;
+  }, [extraModels, models, singleRoundRagActive]);
  const { thread, isMock } = useThread();
  const { textInput } = usePromptInputController();
  const promptRootRef = useRef<HTMLDivElement | null>(null);
@@ -223,34 +232,40 @@ export function InputBox({
    recommendedQuestions.length > 0;

  useEffect(() => {
-    if (models.length === 0) {
-      return;
-    }
-    const currentModel = models.find((m) => m.name === context.model_name);
-    const fallbackModel = currentModel ?? models[0]!;
+    if (modelOptions.length === 0) {
+      return;
+    }
+    const currentModel = modelOptions.find((m) => m.name === context.model_name);
+    const fallbackModel = currentModel ?? modelOptions[0]!;
    const supportsThinking = fallbackModel.supports_thinking ?? false;
    const nextModelName = fallbackModel.name;
    const nextMode = getResolvedMode(context.mode, supportsThinking);

-    if (context.model_name === nextModelName && context.mode === nextMode) {
-      return;
-    }
+    if (
+      context.model_name === nextModelName &&
+      context.mode === nextMode &&
+      context.execution_profile === fallbackModel.execution_profile
+    ) {
+      return;
+    }

    onContextChange?.({
-      ...context,
-      model_name: nextModelName,
-      mode: nextMode,
-    });
-  }, [context, models, onContextChange]);
+      ...context,
+      model_name: nextModelName,
+      mode: nextMode,
+      execution_profile: fallbackModel.execution_profile,
+    });
+  }, [context, modelOptions, onContextChange]);
+
+  const selectedModel = useMemo(() => {
+    if (modelOptions.length === 0) {
+      return undefined;
+    }
+    return modelOptions.find((m) => m.name === context.model_name) ?? modelOptions[0];
+  }, [context.model_name, modelOptions]);

-  const selectedModel = useMemo(() => {
-    if (models.length === 0) {
-      return undefined;
-    }
-    return models.find((m) => m.name === context.model_name) ?? models[0];
-  }, [context.model_name, models]);
-
-  const resolvedModelName = selectedModel?.name;
+  const resolvedModelName = selectedModel?.name;
+  const selectedSingleRoundRag = singleRoundRagActive;

  const supportThinking = useMemo(
    () => selectedModel?.supports_thinking ?? false,
@@ -264,38 +279,65 @@ export function InputBox({

  const handleModelSelect = useCallback(
    (model_name: string) => {
-      const model = models.find((m) => m.name === model_name);
+      const model = modelOptions.find((m) => m.name === model_name);
      if (!model) {
        return;
      }
      onContextChange?.({
        ...context,
        model_name,
-        mode: getResolvedMode(context.mode, model.supports_thinking ?? false),
-        reasoning_effort: context.reasoning_effort,
-      });
-      setModelDialogOpen(false);
-    },
-    [onContextChange, context, models],
+        mode: getResolvedMode(context.mode, model.supports_thinking ?? false),
+        reasoning_effort: context.reasoning_effort,
+        execution_profile: model.execution_profile,
+      });
+      setModelDialogOpen(false);
+    },
+    [onContextChange, context, modelOptions],
  );

-  const handleModeSelect = useCallback(
-    (mode: InputMode) => {
-      onContextChange?.({
-        ...context,
-        mode: getResolvedMode(mode, supportThinking),
-        reasoning_effort:
-          mode === "ultra"
-            ? "high"
+  const handleModeSelect = useCallback(
+    (mode: InputMode) => {
+      const ordinaryModel =
+        models.find((model) => model.name === context.model_name) ?? models[0];
+      onContextChange?.({
+        ...context,
+        model_name: ordinaryModel?.name ?? context.model_name,
+        mode: getResolvedMode(
+          mode,
+          ordinaryModel?.supports_thinking ?? supportThinking,
+        ),
+        reasoning_effort:
+          mode === "ultra"
+            ? "high"
            : mode === "pro"
              ? "medium"
              : mode === "thinking"
-                ? "low"
-                : "minimal",
-      });
-    },
-    [onContextChange, context, supportThinking],
-  );
+                ? "low"
+                : "minimal",
+        execution_profile: undefined,
+      });
+    },
+    [onContextChange, context, models, supportThinking],
+  );
+
+  const handleSingleRoundRagSelect = useCallback(() => {
+    const ragModel =
+      extraModels.find((model) => model.name === context.model_name) ??
+      extraModels[0];
+    if (!ragModel) {
+      return;
+    }
+
+    onContextChange?.({
+      ...context,
+      model_name: ragModel.name,
+      mode: getResolvedMode(
+        context.mode,
+        ragModel.supports_thinking ?? false,
+      ),
+      execution_profile: "single_round_rag",
+    });
+  }, [context, extraModels, onContextChange]);

  const handleReasoningEffortSelect = useCallback(
    (effort: "minimal" | "low" | "medium" | "high") => {
@@ -361,10 +403,11 @@ export function InputBox({
        onContextChange?.({
          ...context,
          model_name: resolvedModelName,
-          mode: getResolvedMode(
-            context.mode,
-            selectedModel?.supports_thinking ?? false,
-          ),
+          mode: getResolvedMode(
+            context.mode,
+            selectedModel?.supports_thinking ?? false,
+          ),
+          execution_profile: selectedModel?.execution_profile,
        });
        setTimeout(() => onSubmit?.(message), 0);
        return;
@@ -379,7 +422,8 @@ export function InputBox({
      onStop,
      resolvedModelName,
      ragModeEnabled,
-      selectedModel?.supports_thinking,
+      selectedModel?.supports_thinking,
+      selectedModel?.execution_profile,
      status,
      threadId,
    ],
@@ -437,8 +481,9 @@ export function InputBox({
  }, [pendingSuggestion, requestFormSubmit, textInput]);

  const showFollowups =
-    !disabled &&
-    !isNewThread &&
+    !disabled &&
+    !isNewThread &&
+    !selectedSingleRoundRag &&
    !followupsHidden &&
    (followupsLoading || followups.length > 0);

@@ -464,7 +509,7 @@ export function InputBox({
      return;
    }

-    if (disabled || isMock) {
+    if (disabled || isMock || selectedSingleRoundRag) {
      return;
    }

@@ -526,7 +571,7 @@ export function InputBox({
      });

    return () => controller.abort();
-  }, [context.model_name, disabled, isMock, status, thread.messages, threadId]);
+  }, [context.model_name, disabled, isMock, selectedSingleRoundRag, status, thread.messages, threadId]);

  return (
    <div ref={promptRootRef} className="relative flex flex-col gap-6">
@@ -782,54 +827,64 @@ export function InputBox({
              </PromptInputButton>
            </Tooltip>
            <PromptInputActionMenu>
-              <ModeHoverGuide
-                mode={
+              <ModeHoverGuide
+                mode={
                  context.mode === "flash" ||
                  context.mode === "thinking" ||
                  context.mode === "pro" ||
                  context.mode === "ultra"
-                    ? context.mode
-                    : "flash"
-                }
-              >
+                    ? context.mode
+                    : "flash"
+                }
+                tooltipContent={
+                  selectedSingleRoundRag
+                    ? "单轮 RAG 问答：基于知识库检索生成答案，并展示参考资料"
+                    : undefined
+                }
+              >
                <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 px-2.5! py-1! text-[11px] font-medium",
-                    compact &&
-                      (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"
+                    compact &&
+                      (selectedSingleRoundRag
+                        ? "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"
                        : context.mode === "pro"
                          ? "border-violet-200 bg-violet-50/60 text-violet-700 hover:bg-violet-100 dark:border-violet-700 dark:bg-violet-950/40 dark:text-violet-200"
                          : context.mode === "ultra"
                            ? "border-amber-200 bg-amber-50/60 text-amber-700 hover:bg-amber-100 dark:border-amber-700 dark:bg-amber-950/40 dark:text-amber-200"
                            : "border-transparent bg-muted/40 hover:bg-muted hover:text-foreground"),
                  )}
-                >
-                  <div>
-                    {context.mode === "flash" && <ZapIcon className="size-3" />}
-                    {context.mode === "thinking" && (
-                      <LightbulbIcon className="size-3" />
-                    )}
-                    {context.mode === "pro" && (
-                      <GraduationCapIcon className="size-3" />
-                    )}
-                    {context.mode === "ultra" && (
-                      <RocketIcon className="size-3 text-[#dabb5e]" />
-                    )}
-                  </div>
+                  >
+                    <div>
+                    {selectedSingleRoundRag ? (
+                      <BookMarkedIcon className="size-3" />
+                    ) : context.mode === "flash" ? (
+                      <ZapIcon className="size-3" />
+                    ) : context.mode === "thinking" ? (
+                      <LightbulbIcon className="size-3" />
+                    ) : context.mode === "pro" ? (
+                      <GraduationCapIcon className="size-3" />
+                    ) : context.mode === "ultra" ? (
+                      <RocketIcon className="size-3 text-[#dabb5e]" />
+                    ) : null}
+                    </div>
                  <div
                    className={cn(
                      "text-xs font-normal",
                      context.mode === "ultra" ? "golden-text" : "",
                    )}
                  >
-                    {(context.mode === "flash" && t.inputBox.flashMode) ||
-                      (context.mode === "thinking" &&
-                        t.inputBox.reasoningMode) ||
-                      (context.mode === "pro" && t.inputBox.proMode) ||
-                      (context.mode === "ultra" && t.inputBox.ultraMode)}
-                  </div>
+                    {selectedSingleRoundRag
+                      ? "单轮 RAG"
+                      : (context.mode === "flash" && t.inputBox.flashMode) ||
+                      (context.mode === "thinking" &&
+                        t.inputBox.reasoningMode) ||
+                      (context.mode === "pro" && t.inputBox.proMode) ||
+                      (context.mode === "ultra" && t.inputBox.ultraMode)}
+                  </div>
                </PromptInputActionMenuTrigger>
              </ModeHoverGuide>
              <PromptInputActionMenuContent className="w-80">
@@ -838,11 +893,11 @@ export function InputBox({
                    {t.inputBox.mode}
                  </DropdownMenuLabel>
                  <PromptInputActionMenu>
-                    <PromptInputActionMenuItem
-                      className={cn(
-                        context.mode === "flash"
-                          ? "text-accent-foreground"
-                          : "text-muted-foreground/65",
+                    <PromptInputActionMenuItem
+                      className={cn(
+                        !selectedSingleRoundRag && context.mode === "flash"
+                          ? "text-accent-foreground"
+                          : "text-muted-foreground/65",
                      )}
                      onSelect={() => handleModeSelect("flash")}
                    >
@@ -850,9 +905,9 @@ export function InputBox({
                        <div className="flex items-center gap-1 font-bold">
                          <ZapIcon
                            className={cn(
-                              "mr-2 size-4",
-                              context.mode === "flash" &&
-                                "text-accent-foreground",
+                              "mr-2 size-4",
+                              !selectedSingleRoundRag && context.mode === "flash" &&
+                                "text-accent-foreground",
                            )}
                          />
                          {t.inputBox.flashMode}
@@ -861,7 +916,7 @@ export function InputBox({
                          {t.inputBox.flashModeDescription}
                        </div>
                      </div>
-                      {context.mode === "flash" ? (
+                      {!selectedSingleRoundRag && context.mode === "flash" ? (
                        <CheckIcon className="ml-auto size-4" />
                      ) : (
                        <div className="ml-auto size-4" />
@@ -869,9 +924,9 @@ export function InputBox({
                    </PromptInputActionMenuItem>
                    {supportThinking && (
                      <PromptInputActionMenuItem
-                        className={cn(
-                          context.mode === "thinking"
-                            ? "text-accent-foreground"
+                        className={cn(
+                          !selectedSingleRoundRag && context.mode === "thinking"
+                            ? "text-accent-foreground"
                            : "text-muted-foreground/65",
                        )}
                        onSelect={() => handleModeSelect("thinking")}
@@ -880,9 +935,9 @@ export function InputBox({
                          <div className="flex items-center gap-1 font-bold">
                            <LightbulbIcon
                              className={cn(
-                                "mr-2 size-4",
-                                context.mode === "thinking" &&
-                                  "text-accent-foreground",
+                                "mr-2 size-4",
+                                !selectedSingleRoundRag && context.mode === "thinking" &&
+                                  "text-accent-foreground",
                              )}
                            />
                            {t.inputBox.reasoningMode}
@@ -891,7 +946,7 @@ export function InputBox({
                            {t.inputBox.reasoningModeDescription}
                          </div>
                        </div>
-                        {context.mode === "thinking" ? (
+                        {!selectedSingleRoundRag && context.mode === "thinking" ? (
                          <CheckIcon className="ml-auto size-4" />
                        ) : (
                          <div className="ml-auto size-4" />
@@ -899,8 +954,8 @@ export function InputBox({
                      </PromptInputActionMenuItem>
                    )}
                    <PromptInputActionMenuItem
-                      className={cn(
-                        context.mode === "pro"
+                      className={cn(
+                        !selectedSingleRoundRag && context.mode === "pro"
                          ? "text-accent-foreground"
                          : "text-muted-foreground/65",
                      )}
@@ -910,8 +965,8 @@ export function InputBox({
                        <div className="flex items-center gap-1 font-bold">
                          <GraduationCapIcon
                            className={cn(
-                              "mr-2 size-4",
-                              context.mode === "pro" &&
+                              "mr-2 size-4",
+                              !selectedSingleRoundRag && context.mode === "pro" &&
                                "text-accent-foreground",
                            )}
                          />
@@ -921,15 +976,15 @@ export function InputBox({
                          {t.inputBox.proModeDescription}
                        </div>
                      </div>
-                      {context.mode === "pro" ? (
+                      {!selectedSingleRoundRag && context.mode === "pro" ? (
                        <CheckIcon className="ml-auto size-4" />
                      ) : (
                        <div className="ml-auto size-4" />
                      )}
                    </PromptInputActionMenuItem>
                    <PromptInputActionMenuItem
-                      className={cn(
-                        context.mode === "ultra"
+                      className={cn(
+                        !selectedSingleRoundRag && context.mode === "ultra"
                          ? "text-accent-foreground"
                          : "text-muted-foreground/65",
                      )}
@@ -939,13 +994,17 @@ export function InputBox({
                        <div className="flex items-center gap-1 font-bold">
                          <RocketIcon
                            className={cn(
-                              "mr-2 size-4",
-                              context.mode === "ultra" && "text-[#dabb5e]",
+                              "mr-2 size-4",
+                              !selectedSingleRoundRag &&
+                                context.mode === "ultra" &&
+                                "text-[#dabb5e]",
                            )}
                          />
                          <div
                            className={cn(
-                              context.mode === "ultra" && "golden-text",
+                              !selectedSingleRoundRag &&
+                                context.mode === "ultra" &&
+                                "golden-text",
                            )}
                          >
                            {t.inputBox.ultraMode}
@@ -955,13 +1014,46 @@ export function InputBox({
                          {t.inputBox.ultraModeDescription}
                        </div>
                      </div>
-                      {context.mode === "ultra" ? (
+                      {!selectedSingleRoundRag && context.mode === "ultra" ? (
                        <CheckIcon className="ml-auto size-4" />
                      ) : (
                        <div className="ml-auto size-4" />
                      )}
-                    </PromptInputActionMenuItem>
-                  </PromptInputActionMenu>
+                    </PromptInputActionMenuItem>
+                    {extraModels.length > 0 && (
+                      <>
+                        <DropdownMenuSeparator className="my-2" />
+                        <PromptInputActionMenuItem
+                          className={cn(
+                            selectedSingleRoundRag
+                              ? "bg-emerald-50 text-emerald-800 hover:bg-emerald-100 focus:bg-emerald-100 dark:bg-emerald-950/40 dark:text-emerald-200 dark:hover:bg-emerald-950/60 dark:focus:bg-emerald-950/60"
+                              : "text-muted-foreground/65",
+                          )}
+                          onSelect={handleSingleRoundRagSelect}
+                        >
+                          <div className="flex flex-col gap-2">
+                            <div className="flex items-center gap-1 font-bold">
+                              <BookMarkedIcon
+                                className={cn(
+                                  "mr-2 size-4",
+                                  selectedSingleRoundRag && "text-emerald-700 dark:text-emerald-200",
+                                )}
+                              />
+                              单轮 RAG 问答
+                            </div>
+                            <div className="pl-7 text-xs">
+                              基于知识库检索生成答案，并展示思考内容与参考资料
+                            </div>
+                          </div>
+                          {selectedSingleRoundRag ? (
+                            <CheckIcon className="ml-auto size-4" />
+                          ) : (
+                            <div className="ml-auto size-4" />
+                          )}
+                        </PromptInputActionMenuItem>
+                      </>
+                    )}
+                  </PromptInputActionMenu>
                </DropdownMenuGroup>
              </PromptInputActionMenuContent>
            </PromptInputActionMenu>
@@ -1146,7 +1238,7 @@ export function InputBox({
              <ModelSelectorContent>
                <ModelSelectorInput placeholder={t.inputBox.searchModels} />
                <ModelSelectorList>
-                  {models.map((m) => (
+                  {modelOptions.map((m) => (
                    <ModelSelectorItem
                      key={m.name}
                      value={m.name}
@@ -1154,9 +1246,11 @@ export function InputBox({
                    >
                      <div className="flex min-w-0 flex-1 flex-col">
                        <ModelSelectorName>{m.display_name}</ModelSelectorName>
-                        <span className="text-muted-foreground truncate text-[10px]">
-                          {m.model}
-                        </span>
+                        <span className="text-muted-foreground truncate text-[10px]">
+                          {selectedSingleRoundRag
+                            ? `单轮知识库问答 · ${m.name}`
+                            : m.model}
+                        </span>
                      </div>
                      {m.name === context.model_name ? (
                        <CheckIcon className="ml-auto size-4" />
@@ -1164,8 +1258,8 @@ export function InputBox({
                        <div className="ml-auto size-4" />
                      )}
                    </ModelSelectorItem>
-                  ))}
-                </ModelSelectorList>
+                  ))}
+                </ModelSelectorList>
              </ModelSelectorContent>
            </ModelSelector>
            <PromptInputSubmit
@@ -33,7 +33,8 @@ import {
 } from "@/core/skill-display/runtime";
 import type { Subtask } from "@/core/tasks";
 import { useUpdateSubtask } from "@/core/tasks/context";
-import type { AgentThreadState } from "@/core/threads";
+import type { AgentThreadState } from "@/core/threads";
+import { isSingleRoundRagMessage } from "@/core/threads/use-single-round-rag";
 import { cn } from "@/lib/utils";
 import { resolveAllowMultiple } from "@/roundtable-planning/lib/clarification";

@@ -235,12 +236,17 @@ export function MessageList({
  }, [messages, askTimes]);

  const [settings] = useLocalSettings();
-  const ragModeEnabled =
-    settings.display.ragModeEnabled || isThreadRagModeLocked(threadId);
-  const { skills } = useSkills();
-  const skillDisplayMap = useMemo(
-    () => (ragModeEnabled ? buildSkillDisplayMap(skills) : new Map()),
-    [ragModeEnabled, skills],
+  const ragModeEnabled =
+    settings.display.ragModeEnabled || isThreadRagModeLocked(threadId);
+  const hasSingleRoundRag = useMemo(
+    () => messages.some(isSingleRoundRagMessage),
+    [messages],
+  );
+  const referencesEnabled = ragModeEnabled || hasSingleRoundRag;
+  const { skills } = useSkills();
+  const skillDisplayMap = useMemo(
+    () => (referencesEnabled ? buildSkillDisplayMap(skills) : new Map()),
+    [referencesEnabled, skills],
  );
  // Same per-turn reference batches the right-side panel renders (backend
  // batches preferred). Inline [n] tokens must resolve against these so badge
@@ -373,7 +379,7 @@ export function MessageList({
          if (group.type === "human" || group.type === "assistant") {
            return group.messages.map((msg) => {
              const isAssistantMessage =
-                ragModeEnabled &&
+                referencesEnabled &&
                group.type === "assistant" &&
                msg.type === "ai";
              const batchSources = isAssistantMessage
@@ -46,20 +46,23 @@ function getModeDescriptionKey(
  }
 }

-export function ModeHoverGuide({
-  mode,
-  children,
-  showTitle = true,
-}: {
-  mode: AgentMode;
-  children: React.ReactNode;
-  /** When true, tooltip shows "ModeName: Description". When false, only description. */
-  showTitle?: boolean;
-}) {
-  const { t } = useI18n();
-  const label = t.inputBox[getModeLabelKey(mode)];
-  const description = t.inputBox[getModeDescriptionKey(mode)];
-  const content = showTitle ? `${label}: ${description}` : description;
+export function ModeHoverGuide({
+  mode,
+  children,
+  showTitle = true,
+  tooltipContent,
+}: {
+  mode: AgentMode;
+  children: React.ReactNode;
+  /** When true, tooltip shows "ModeName: Description". When false, only description. */
+  showTitle?: boolean;
+  /** Overrides the standard mode tooltip for page-specific execution modes. */
+  tooltipContent?: string;
+}) {
+  const { t } = useI18n();
+  const label = t.inputBox[getModeLabelKey(mode)];
+  const description = t.inputBox[getModeDescriptionKey(mode)];
+  const content = tooltipContent ?? (showTitle ? `${label}: ${description}` : description);

  return <Tooltip content={content}>{children}</Tooltip>;
 }
@@ -184,7 +184,7 @@ export function WorkspaceNavChatList({
                </Link>
              </SidebarMenuButton>
            </SidebarMenuItem>
-            <SidebarMenuItem>
+            {/* <SidebarMenuItem>
              <SidebarMenuButton
                isActive={pathname.startsWith("/page/workspace/roundtable/position")}
                asChild
@@ -195,7 +195,7 @@ export function WorkspaceNavChatList({
                  <span>岗位会商</span>
                </Link>
              </SidebarMenuButton>
-            </SidebarMenuItem>
+            </SidebarMenuItem> */}
            <SidebarMenuItem>
              <SidebarMenuButton
                isActive={pathname === "/page/workspace/scheduled/tasks"}
@@ -0,0 +1,21 @@
+import type { Model } from "./types";
+
+export const SINGLE_ROUND_RAG_MODELS: Model[] = [
+  { id: "single-round-rag-openai3", name: "OpenAI3", model: "OpenAI3", display_name: "Qwen3-32B", supports_thinking: true, execution_profile: "single_round_rag" },
+  { id: "single-round-rag-openai4", name: "OpenAI4", model: "OpenAI4", display_name: "Qwen3-235B", supports_thinking: true, execution_profile: "single_round_rag" },
+  { id: "single-round-rag-openai5", name: "OpenAI5", model: "OpenAI5", display_name: "GLM-5", supports_thinking: true, execution_profile: "single_round_rag" },
+  { id: "single-round-rag-openai6", name: "OpenAI6", model: "OpenAI6", display_name: "Qwen3.5-27B", supports_thinking: true, execution_profile: "single_round_rag" },
+  { id: "single-round-rag-openai7", name: "OpenAI7", model: "OpenAI7", display_name: "Qwen3-8B", supports_thinking: true, execution_profile: "single_round_rag" },
+  { id: "single-round-rag-openai9", name: "OpenAI9", model: "OpenAI9", display_name: "四季7B", supports_thinking: true, execution_profile: "single_round_rag" },
+];
+
+export function isSingleRoundRagProfile(
+  context: unknown,
+): boolean {
+  return (
+    typeof context === "object" &&
+    context !== null &&
+    (context as { execution_profile?: unknown }).execution_profile ===
+      "single_round_rag"
+  );
+}
@@ -4,9 +4,11 @@ export interface Model {
  model: string;
  display_name: string;
  description?: string | null;
-  supports_thinking?: boolean;
-  supports_reasoning_effort?: boolean;
-}
+  supports_thinking?: boolean;
+  supports_reasoning_effort?: boolean;
+  /** Execution profiles handled by the frontend instead of DeerFlow. */
+  execution_profile?: "single_round_rag";
+}

 export interface TokenUsageSettings {
  enabled: boolean;
@@ -23,9 +23,11 @@ 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). */
-  knowledge_rag_enabled?: boolean;
-  agent_id?: string;
+  /** Per-conversation switch for knowledge-base RAG injection (phase 2). */
+  knowledge_rag_enabled?: boolean;
+  /** Direct knowledge-base RAG mode; this request never enters Lead Agent. */
+  execution_profile?: "single_round_rag";
+  agent_id?: string;
  /** @deprecated kept for reading legacy thread metadata; prefer agent_id */
  agent_name?: string;
 }
@@ -0,0 +1,378 @@
+import type { Message } from "@langchain/langgraph-sdk";
+import { useCallback, useEffect, useRef, useState } from "react";
+
+import { readRuntimeEnv } from "@/env";
+
+const STORAGE_PREFIX = "workspace.single-round-rag.";
+
+type KnowledgeBaseChunk = {
+  answer?: unknown;
+  docs?: unknown;
+};
+
+type RagSource = {
+  id?: string;
+  title: string;
+  type: string;
+  snippet: string;
+  content: string;
+  source?: string;
+  time?: string;
+  url?: string;
+  raw: Record<string, unknown>;
+};
+
+/** Same JSON-object framing used by the established GeneralQA single-RAG flow. */
+function extractJsonObjects(raw: string): { objects: string[]; rest: string } {
+  const objects: string[] = [];
+  let depth = 0;
+  let stringQuote: '"' | "'" | null = null;
+  let escaped = false;
+  let start = -1;
+  for (let index = 0; index < raw.length; index += 1) {
+    const char = raw[index]!;
+    if (stringQuote) {
+      if (escaped) escaped = false;
+      else if (char === "\\") escaped = true;
+      else if (char === stringQuote) stringQuote = null;
+      continue;
+    }
+    if (char === '"' || char === "'") {
+      stringQuote = char;
+      continue;
+    }
+    if (char === "{") {
+      if (depth === 0) start = index;
+      depth += 1;
+    } else if (char === "}") {
+      depth -= 1;
+      if (depth === 0 && start !== -1) {
+        objects.push(raw.slice(start, index + 1));
+        start = -1;
+      }
+    }
+  }
+  return depth > 0 && start !== -1
+    ? { objects, rest: raw.slice(start) }
+    : { objects, rest: "" };
+}
+
+/** Same `<think>` split semantics as GeneralQA, kept local to avoid loading its demo data. */
+function parseSingleRagStream(chunks: { answer: string }[]) {
+  let thinkingMarkdown = "";
+  let answerMarkdown = "";
+  let inThink = false;
+  let thinkingComplete = false;
+  for (const { answer } of chunks) {
+    let remaining = answer;
+    while (remaining) {
+      if (inThink) {
+        const endIndex = remaining.indexOf("</think>");
+        if (endIndex === -1) {
+          thinkingMarkdown += remaining;
+          remaining = "";
+        } else {
+          thinkingMarkdown += remaining.slice(0, endIndex);
+          remaining = remaining.slice(endIndex + "</think>".length);
+          inThink = false;
+          thinkingComplete = true;
+        }
+      } else {
+        const startIndex = remaining.indexOf("<think>");
+        if (startIndex === -1) {
+          answerMarkdown += remaining;
+          remaining = "";
+        } else {
+          answerMarkdown += remaining.slice(0, startIndex);
+          remaining = remaining.slice(startIndex + "<think>".length);
+          inThink = true;
+        }
+      }
+    }
+  }
+  return { thinkingMarkdown, answerMarkdown, thinkingComplete };
+}
+
+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 parseLooseStringValue(rawValue: string): string {
+  try {
+    return JSON.parse(rawValue) as string;
+  } catch {
+    const value = rawValue.trim();
+    if (value.startsWith("'") && value.endsWith("'")) {
+      return value
+        .slice(1, -1)
+        .replace(/\\n/g, "\n")
+        .replace(/\\r/g, "\r")
+        .replace(/\\t/g, "\t")
+        .replace(/\\'/g, "'")
+        .replace(/\\\\/g, "\\");
+    }
+    throw new Error(`无法解析知识库流片段：${rawValue}`);
+  }
+}
+
+function parseKnowledgeBaseChunk(jsonText: string): KnowledgeBaseChunk {
+  try {
+    return JSON.parse(jsonText) as KnowledgeBaseChunk;
+  } catch {
+    const objectText = jsonText.trim();
+    const answerMatch = objectText.match(/^\{\s*answer\s*:\s*([\s\S]*)\s*\}$/);
+    if (answerMatch) {
+      return { answer: parseLooseStringValue(answerMatch[1]!.trim()) };
+    }
+    const docsMatch = objectText.match(/^\{\s*docs\s*:\s*([\s\S]*)\s*\}$/);
+    if (docsMatch) {
+      const rawValue = docsMatch[1]!.trim();
+      try {
+        return { docs: JSON.parse(rawValue) };
+      } catch {
+        return { docs: parseLooseStringValue(rawValue) };
+      }
+    }
+    const normalizedText = objectText.replace(
+      /([{,]\s*)(answer|docs)(\s*:)/g,
+      '$1"$2"$3',
+    );
+    return JSON.parse(normalizedText) as KnowledgeBaseChunk;
+  }
+}
+
+function flattenDocs(value: unknown): Record<string, unknown>[] {
+  if (Array.isArray(value)) {
+    return value.flatMap((item) => flattenDocs(item));
+  }
+  if (!value || typeof value !== "object") return [];
+  const record = value as Record<string, unknown>;
+  if ("docs" in record) return flattenDocs(record.docs);
+  return [record];
+}
+
+function normalizeSources(value: unknown): RagSource[] {
+  return flattenDocs(value).map((item, index) => {
+    const title = String(item.m_title ?? item.title ?? item.source ?? `参考资料 ${index + 1}`);
+    const content = String(item.m_content ?? item.content ?? item.snippet ?? "");
+    const source = item.source1 ?? item.source;
+    const rawUrl = item.url ?? item.link ?? item.href;
+    return {
+      id: String(item.recUuid ?? item.rec_uuid ?? item.uuid ?? item.id ?? "") || undefined,
+      title,
+      type: String(item.source1 ?? item.type ?? "知识库"),
+      snippet: content,
+      content,
+      source: typeof source === "string" ? source : undefined,
+      time: typeof item.m_publish === "string" ? item.m_publish : undefined,
+      url: typeof rawUrl === "string" && /^https?:\/\//i.test(rawUrl) ? rawUrl : undefined,
+      raw: item,
+    };
+  });
+}
+
+function createId(prefix: string) {
+  return `${prefix}-${crypto.randomUUID()}`;
+}
+
+function isAbortError(error: unknown) {
+  return error instanceof DOMException && error.name === "AbortError";
+}
+
+export function isSingleRoundRagMessage(message: Message): boolean {
+  return message.additional_kwargs?.single_round_rag === true;
+}
+
+/**
+ * Frontend-only adapter for the existing general-QA single-round endpoint.
+ * It deliberately never submits a run to DeerFlow or mutates the Lead Agent.
+ */
+export function useSingleRoundRagMessages(threadId: string) {
+  const [messages, setMessages] = useState<Message[]>(() => readStoredMessages(threadId));
+  const [isLoading, setIsLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+  const controllerRef = useRef<AbortController | null>(null);
+
+  useEffect(() => {
+    setMessages(readStoredMessages(threadId));
+    setError(null);
+  }, [threadId]);
+
+  useEffect(() => () => controllerRef.current?.abort(), []);
+
+  const updateMessages = useCallback(
+    (targetThreadId: string, updater: (current: Message[]) => Message[]) => {
+      setMessages((current) => {
+        const next = updater(current);
+        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 = createId("single-rag-human");
+      const assistantId = createId("single-rag-ai");
+      const sourceId = createId("single-rag-sources");
+      const clientTs = new Date().toISOString();
+      const userMessage: Message = {
+        id: humanId,
+        type: "human",
+        content: [{ type: "text", text: question }],
+        additional_kwargs: { client_ts: clientTs, single_round_rag: true },
+      };
+      const initialAssistant: Message = {
+        id: assistantId,
+        type: "ai",
+        content: "",
+        additional_kwargs: { single_round_rag: true },
+      };
+      updateMessages(targetThreadId, (current) => [...current, userMessage, initialAssistant]);
+      setError(null);
+      setIsLoading(true);
+
+      const controller = new AbortController();
+      controllerRef.current = controller;
+      const answerChunks: { answer: string }[] = [];
+      let sources: RagSource[] = [];
+
+      const refreshAssistant = () => {
+        const trace = parseSingleRagStream(answerChunks);
+        updateMessages(targetThreadId, (current) => {
+          const next = current.filter((message) => message.id !== sourceId);
+          const assistantIndex = next.findIndex((message) => message.id === assistantId);
+          if (assistantIndex < 0) return current;
+          next[assistantIndex] = {
+            ...next[assistantIndex],
+            content: trace.answerMarkdown,
+            additional_kwargs: {
+              ...next[assistantIndex]!.additional_kwargs,
+              single_round_rag: true,
+              reasoning_content: trace.thinkingMarkdown || null,
+            },
+          } as Message;
+          if (sources.length > 0) {
+            next.splice(assistantIndex, 0, {
+              id: sourceId,
+              type: "tool",
+              name: "knowledge_base_search",
+              content: { results: sources },
+              additional_kwargs: {
+                hide_from_ui: true,
+                single_round_rag: true,
+              },
+            } as unknown as Message);
+          }
+          return next;
+        });
+      };
+
+      try {
+        const chatUrl = readRuntimeEnv("VITE_AIPI_CHAT_URL") || "";
+        if (!chatUrl) {
+          throw new Error("未配置 VITE_AIPI_CHAT_URL，无法发起单轮 RAG 问答。");
+        }
+        const response = await fetch(
+          `${chatUrl.replace(/\/$/, "")}/chat/knowledge_base_chat_tiaoshi`,
+          {
+            method: "POST",
+            headers: { "Content-Type": "application/json" },
+            signal: controller.signal,
+            body: JSON.stringify({
+              query: question,
+              knowledge_base_name: [],
+              top_k: 5,
+              score_threshold: 0.5,
+              history: [],
+              stream: true,
+              model_name: modelName,
+              temperature: 0.3,
+              prompt_name: "default",
+              local_doc_url: false,
+            }),
+          },
+        );
+        if (!response.ok) throw new Error(`知识库服务请求失败（${response.status}）`);
+        if (!response.body) throw new Error("知识库服务未返回流式响应。");
+
+        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 extracted = extractJsonObjects(buffer);
+          buffer = extracted.rest;
+          for (const jsonText of extracted.objects) {
+            const chunk = parseKnowledgeBaseChunk(jsonText);
+            if (typeof chunk.answer === "string") answerChunks.push({ answer: chunk.answer });
+            if (chunk.docs !== undefined) sources = normalizeSources(chunk.docs);
+            refreshAssistant();
+          }
+        }
+      } catch (caught) {
+        if (!isAbortError(caught)) {
+          const message = caught instanceof Error ? caught.message : "单轮 RAG 问答失败。";
+          setError(message);
+          updateMessages(targetThreadId, (current) =>
+            current.map((item) =>
+              item.id === assistantId
+                ? ({
+                    ...item,
+                    content: answerChunks.length > 0 ? item.content : message,
+                    additional_kwargs: {
+                      ...item.additional_kwargs,
+                      single_round_rag: true,
+                    },
+                  } as Message)
+                : item,
+            ),
+          );
+        }
+      } finally {
+        if (controllerRef.current === controller) controllerRef.current = null;
+        setIsLoading(false);
+      }
+    },
+    [isLoading, updateMessages],
+  );
+
+  return { messages, isLoading, error, submit, stop };
+}
@@ -44,6 +44,10 @@ import { PanelLeftOpen } from "lucide-react";
 import { useAgentSelector, useAgentsPaginated } from "@/core/agents";
 import { useI18n } from "@/core/i18n/hooks";
 import { useModels } from "@/core/models/hooks";
+import {
+  isSingleRoundRagProfile,
+  SINGLE_ROUND_RAG_MODELS,
+} from "@/core/models/single-round-rag";
 import { useNotification } from "@/core/notification/hooks";
 import {
  getLastAgentId,
@@ -52,6 +56,7 @@ import {
  useThreadSettings,
 } from "@/core/settings";
 import { useThreadStream } from "@/core/threads/hooks";
+import { useSingleRoundRagMessages } from "@/core/threads/use-single-round-rag";
 import { useLayoutMode } from "@/core/system-settings/hooks";
 import { useRouteBase } from "@/core/route-base";
 import { textOfMessage } from "@/core/threads/utils";
@@ -226,6 +231,20 @@ export default function ChatPage() {
      }
    },
  });
+  const singleRoundRag = useSingleRoundRagMessages(threadId);
+  const singleRoundRagSelected = isSingleRoundRagProfile(settings.context);
+  const displayThread = useMemo(() => {
+    if (singleRoundRag.messages.length === 0 && !singleRoundRag.isLoading) {
+      return thread;
+    }
+    const messages = [...thread.messages, ...singleRoundRag.messages];
+    return {
+      ...thread,
+      values: { ...thread.values, messages },
+      messages,
+      isLoading: thread.isLoading || singleRoundRag.isLoading,
+    } as typeof thread;
+  }, [singleRoundRag.isLoading, singleRoundRag.messages, thread]);

  const writingArtifactPath = useMemo(() => {
    const isMarkdown = (path: string | null | undefined) =>
@@ -240,6 +259,46 @@ export default function ChatPage() {

  const handleSubmit = useCallback(
    (message: PromptInputMessage) => {
+      if (singleRoundRagSelected) {
+        if (message.files && message.files.length > 0) {
+          toast.error("单轮 RAG 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);
+              }
+            }
+            await singleRoundRag.submit({
+              targetThreadId,
+              query: message.text,
+              modelName: settings.context.model_name ?? "OpenAI3",
+            });
+          } catch (error) {
+            toast.error(error instanceof Error ? error.message : "单轮 RAG 问答失败。");
+          }
+        })();
+        return;
+      }
      // If the user picked an agent before sending the opening turn, hand off
      // to AgentChatPage so the conversation runs against that agent. We stash
      // the pending text in sessionStorage because the next/navigation shim
@@ -332,7 +391,13 @@ export default function ChatPage() {
      isMock,
      router,
      settings.context.writing_mode,
+      settings.context.model_name,
      writingArtifactPath,
+      singleRoundRag,
+      singleRoundRagSelected,
+      routeBase,
+      setIsNewThread,
+      setThreadId,
    ],
  );

@@ -421,8 +486,12 @@ export default function ChatPage() {
    saveLastAgentId(agentId);
  }, []);
  const handleStop = useCallback(async () => {
+    if (singleRoundRag.isLoading) {
+      singleRoundRag.stop();
+      return;
+    }
    await thread.stop();
-  }, [thread]);
+  }, [singleRoundRag, thread]);

  const promptPrefixProp = useMemo(() => {
    if (!promptPrefixSettings?.enabled) return undefined;
@@ -468,7 +537,7 @@ export default function ChatPage() {
  const compactActionsHidden = isHideChromeActive();

  return (
-    <ThreadContext.Provider value={{ thread, isMock }}>
+    <ThreadContext.Provider value={{ thread: displayThread, isMock }}>
      <ChatBox threadId={threadId}>
        <div
          className={cn(
@@ -486,7 +555,7 @@ export default function ChatPage() {
            )}
          >
            <div className="flex w-full items-center text-sm font-medium">
-              <ThreadTitle threadId={threadId} thread={thread} />
+              <ThreadTitle threadId={threadId} thread={displayThread} />
            </div>
            <div className="flex items-center gap-2">
              {/* 仅在收起态显示「展开历史」钮；展开后由侧栏内（新对话右侧）的收起钮负责收起。 */}
@@ -505,7 +574,7 @@ export default function ChatPage() {
              )}
              <TokenUsageIndicator
                enabled={tokenUsageEnabled}
-                messages={thread.messages}
+                messages={displayThread.messages}
              />
              <ExportTrigger threadId={threadId} />
              <KnowledgeSaveTrigger threadId={threadId} />
@@ -543,7 +612,7 @@ export default function ChatPage() {
                <MessageList
                  className={cn("size-full", "pt-10")}
                  threadId={threadId}
-                  thread={thread}
+                  thread={displayThread}
                  paddingBottom={messageListPaddingBottom}
                  tokenUsageEnabled={tokenUsageEnabled}
                  // 输入框为底部绝对浮层（约 160px 高），按钮上移到其上方居中。
@@ -585,9 +654,9 @@ export default function ChatPage() {
                  <div className="absolute right-0 bottom-0 left-0">
                    <TodoList
                      className="bg-background/5"
-                      todos={thread.values.todos ?? []}
+                      todos={displayThread.values.todos ?? []}
                      hidden={
-                        !thread.values.todos || thread.values.todos.length === 0
+                        !displayThread.values.todos || displayThread.values.todos.length === 0
                      }
                    />
                  </div>
@@ -612,15 +681,17 @@ export default function ChatPage() {
                      status={
                        thread.error
                          ? "error"
-                          : thread.isLoading
+                          : displayThread.isLoading
                            ? "streaming"
                            : "ready"
                      }
                      context={settings.context}
+                      extraModels={SINGLE_ROUND_RAG_MODELS}
                      disabled={
                        env.NEXT_PUBLIC_STATIC_WEBSITE_ONLY === "true" ||
                        isUploading ||
-                        agentHandoffPending
+                        agentHandoffPending ||
+                        singleRoundRag.isLoading
                      }
                      onContextChange={(context) =>
                        setSettings("context", context)
@@ -664,7 +735,7 @@ export default function ChatPage() {
          */}
          {!isLandingState && (
            <QuestionNavigator
-              messages={thread.messages}
+              messages={displayThread.messages}
              className="top-16 right-0 bottom-48 left-0"
            />
          )}