优化自动模式对话回复结构化展示

app/(chat)/api/chat/route.ts

@@ -205,6 +205,42 @@ function injectHistoryImagesToLastUserMessage(
   return messages.map((msg, idx) => (idx === lastUserIndex ? updatedMessage : msg));
 }
 
+function compactAutoDemand(text: string, maxLength = 56): string {
+  const normalized = text.replace(/\s+/g, " ").trim();
+  if (!normalized) return "按你刚才的描述执行";
+  if (normalized.length <= maxLength) return normalized;
+  return `${normalized.slice(0, maxLength)}...`;
+}
+
+function buildAutoModeFallbackMessage(params: {
+  text: string;
+  hasImage: boolean;
+  fromHistory: boolean;
+}): string {
+  const demand = compactAutoDemand(params.text);
+
+  if (params.hasImage) {
+    const sourceLine = params.fromHistory
+      ? "我会基于你上一轮图片继续处理。"
+      : "我会基于你当前上传图片处理。";
+
+    return [
+      "收到，我先帮你梳理这次修改目标。",
+      `- 需求理解：${demand}`,
+      `- 执行基准：${sourceLine}`,
+      "- 执行方式：优先只改你指定区域，主体、构图和风格尽量保持一致。",
+      "- 继续迭代：生成后你可直接说“保留A，改B”，我会按最新要求继续优化。",
+    ].join("\n");
+  }
+
+  return [
+    "收到，我来按自动模式帮你生成。",
+    `- 需求理解：${demand}`,
+    "- 执行方式：先锁定主体和场景，再细化风格、材质与光影。",
+    "- 继续迭代：你可以继续补充偏好（如构图、镜头、色调、质感）。",
+  ].join("\n");
+}
+
 /**
  * 自定义消息转换函数
  * 注意：gemini-image 和 huanke-gemini 都需要 URL 格式（不是 Base64）
@@ -492,6 +528,9 @@ export async function POST(request: Request) {
     // ========== Smart Auto Mode Logic ==========
     if (finalModelId === "auto") {
       console.log("[Smart Auto Mode] 🚀 Starting intelligent analysis...");
+      let autoTextForFallback = "";
+      let autoHasImageForFallback = false;
+      let autoFromHistoryForFallback = false;
       
       try {
         // 🆕 首先获取历史消息（在 Smart Auto Mode 内部单独获取，避免依赖后面的 messagesFromDb）
@@ -504,12 +543,14 @@ export async function POST(request: Request) {
           .filter((p): p is { type: "text"; text: string } => p.type === "text")
           .map((p) => p.text)
           .join(" ");
+        autoTextForFallback = textContent;
         const autoContextText = typeof autoContext === "string" ? autoContext.trim() : "";
 
         // @ts-ignore - 检查各种可能的图片类型
         let hasImage = lastUserMessage.parts.some(
           (p: any) => p.type === "file" || p.type === "image" || p.type === "image_url"
         );
+        autoHasImageForFallback = hasImage;
 
         // @ts-ignore - 提取图片URL
         let imageUrls = lastUserMessage.parts
@@ -570,6 +611,8 @@ export async function POST(request: Request) {
           if (smartAutoHistoryImages.length > 0) {
             hasImage = true;
             imageUrls = smartAutoHistoryImages;
+            autoHasImageForFallback = true;
+            autoFromHistoryForFallback = true;
             console.log("[Smart Auto Mode] ✅ Auto-using", smartAutoHistoryImages.length, "history image(s) for context continuity");
           } else {
             console.log("[Smart Auto Mode] ℹ️ No image found in history, proceeding as pure text");
@@ -624,6 +667,29 @@ export async function POST(request: Request) {
           console.log("[Smart Auto Mode] 💬 Conversational reply:", smartAutoFriendlyMessage);
         }
 
+        const autoIntent = autoGraphResult.analysis?.intent;
+        const isImageTask =
+          autoIntent === "image_gen" ||
+          autoIntent === "image_edit" ||
+          hasImage;
+        const needsRicherAutoReply =
+          isImageTask &&
+          !smartAutoNeedsClarification &&
+          (
+            !smartAutoFriendlyMessage ||
+            !smartAutoFriendlyMessage.includes("\n") ||
+            smartAutoFriendlyMessage.replace(/\s+/g, "").length < 20
+          );
+
+        if (needsRicherAutoReply) {
+          smartAutoFriendlyMessage = buildAutoModeFallbackMessage({
+            text: autoTextForFallback,
+            hasImage,
+            fromHistory: smartAutoHistoryImages.length > 0,
+          });
+          console.log("[Smart Auto Mode] 🧩 Upgraded to richer conversational reply");
+        }
+
         if (autoGraphResult.optimizedPrompt) {
           smartAutoOptimizedPrompt = autoGraphResult.optimizedPrompt;
           console.log("[Smart Auto Mode] ✨ Prompt optimized (LLM):", {
@@ -643,7 +709,7 @@ export async function POST(request: Request) {
         
         const allModels = await getEnabledAiModelsWithProvider();
         // @ts-ignore - 检查各种可能的图片类型
-        const hasImage = message.parts.some(
+        const hasImage = autoHasImageForFallback || message.parts.some(
           (p: any) => p.type === "file" || p.type === "image" || p.type === "image_url"
         );
         
@@ -651,8 +717,18 @@ export async function POST(request: Request) {
         let bestModel = null;
         if (hasImage) {
           bestModel = allModels.find(m => m.model.supportsImageGen && !m.model.isSubModel);
-          // 🆕 回退时也生成一个友好消息
-          smartAutoFriendlyMessage = "好的，我来帮你处理这张图片~";
+          // 回退时也保持结构化、可感知的自动模式反馈
+          smartAutoFriendlyMessage = buildAutoModeFallbackMessage({
+            text: autoTextForFallback,
+            hasImage: true,
+            fromHistory: autoFromHistoryForFallback || smartAutoHistoryImages.length > 0,
+          });
+        } else {
+          smartAutoFriendlyMessage = buildAutoModeFallbackMessage({
+            text: autoTextForFallback,
+            hasImage: false,
+            fromHistory: false,
+          });
         }
         if (!bestModel) {
           bestModel = allModels.find(m => m.model.isDefault && !m.model.isSubModel);