fix: route runway video models through video branch

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

@@ -7972,14 +7972,16 @@ export async function POST(request: Request) {
     // ========== Gemini 处理结束 ==========
 
     // ========== 阿里云千问图片生成独立处理 ==========
-    const isAlibabaLikeImageProvider = [
+    const isAlibabaLikeImageProvider =
-      "alibaba-image",
+      isImageGenerationModel &&
-      "ruxa-image",
+      [
-      "fal-image",
+        "alibaba-image",
-      "openai-image",
+        "ruxa-image",
-      "midjourney",
+        "fal-image",
-      "runway",
+        "openai-image",
-    ].includes((languageModel as any).provider);
+        "midjourney",
+        "runway",
+      ].includes((languageModel as any).provider);
     if (isAlibabaLikeImageProvider && typeof (languageModel as any).doGenerate === "function") {
       console.log("[Chat API] Using image generation provider:", (languageModel as any).provider);
       console.log("[Chat API] Image params:", effectiveImageParams);

lib/ai/providers/runway.ts

@@ -71,8 +71,9 @@ function joinEndpoint(baseURL: string, path: string) {
 }
 
 function buildHeaders(apiKey: string) {
+  const normalizedApiKey = normalizeRunwayCredentials(apiKey);
   return {
-    Authorization: `Bearer ${String(apiKey || "").trim()}`,
+    Authorization: `Bearer ${normalizedApiKey}`,
     "Content-Type": "application/json",
     "X-Runway-Version": RUNWAY_VERSION,
   };
@@ -82,6 +83,14 @@ function normalizeText(value: string) {
   return String(value || "").replace(/\u00a0/g, " ").trim().normalize("NFKC");
 }
 
+function normalizeRunwayCredentials(apiKey: string) {
+  const normalized = normalizeText(apiKey);
+  const stripped = normalized.replace(/^bearer\s+/i, "").replace(/^key\s+/i, "");
+  const kvMatch = stripped.match(/^(?:runway[_-]?api[_-]?key|api[_-]?key|token)\s*[:：]\s*(.+)$/i);
+  const candidate = kvMatch?.[1] ? kvMatch[1] : stripped;
+  return candidate.trim().replace(/[^\x20-\x7E]/g, "");
+}
+
 function normalizeImageSizeLabel(imageSize?: string): "1K" | "2K" | "4K" {
   const normalized = String(imageSize || "").trim().toUpperCase();
   if (normalized === "1K" || normalized === "2K" || normalized === "4K") {