fix: route Pascal through multimodal model

app/api/internal/pascal-agent/v1/chat/completions/route.ts

@@ -1,7 +1,7 @@
 import { NextResponse } from "next/server";
 import { getProviderDefaultBaseUrl } from "@/lib/ai/provider-defaults";
 import { resolveModelRuntimeId } from "@/lib/ai/model-runtime";
-import { getAgentAiModelWithProvider } from "@/lib/db/queries";
+import { getMultimodalAiModelWithProvider } from "@/lib/db/queries";
 import { createLogger } from "@/lib/observability/logger";
 import { isPascalInternalRequest } from "@/lib/pascal/internal-auth";
 
@@ -36,9 +36,9 @@ export async function GET(request: Request) {
     return NextResponse.json({ error: "not_found" }, { status: 404 });
   }
 
-  const configured = await getAgentAiModelWithProvider();
+  const configured = await getMultimodalAiModelWithProvider();
   if (!configured) {
-    return NextResponse.json({ configured: false });
+    return NextResponse.json({ configured: false, selection: "multimodal" });
   }
 
   return NextResponse.json({
@@ -47,6 +47,7 @@ export async function GET(request: Request) {
     model: configured.model.displayName || configured.model.modelId,
     provider: configured.provider.name,
     providerType: configured.provider.type,
+    selection: "multimodal",
   });
 }
 
@@ -66,15 +67,15 @@ export async function POST(request: Request) {
     return openAiError("Invalid JSON body.", 400);
   }
 
-  const configured = await getAgentAiModelWithProvider();
+  const configured = await getMultimodalAiModelWithProvider();
   if (!configured) {
-    return openAiError("No enabled Agent text model is configured.", 503);
+    return openAiError("No enabled multimodal model is configured.", 503);
   }
 
   const { model, provider } = configured;
   if (!OPENAI_COMPATIBLE_PROVIDER_TYPES.has(provider.type)) {
     return openAiError(
-      `The configured Agent provider type '${provider.type}' is not OpenAI-compatible.`,
+      `The configured multimodal provider type '${provider.type}' is not OpenAI-compatible.`,
       503
     );
   }
@@ -85,7 +86,7 @@ export async function POST(request: Request) {
     providerType: provider.type,
   });
   if (!baseUrl || !runtimeModelId || !provider.apiKey) {
-    return openAiError("The configured Agent model is incomplete.", 503);
+    return openAiError("The configured multimodal model is incomplete.", 503);
   }
 
   const startedAt = Date.now();
@@ -122,6 +123,9 @@ export async function POST(request: Request) {
       modelId: model.id,
       providerId: provider.id,
     });
-    return openAiError("The configured Agent model is temporarily unavailable.", 502);
+    return openAiError(
+      "The configured multimodal model is temporarily unavailable.",
+      502
+    );
   }
 }

docs/pascal-editor-integration.md

@@ -110,8 +110,9 @@ include it inside the main HTTPS `server` block.
 
 The private Pascal service points its OpenAI-compatible model base URL to
 `/api/internal/pascal-agent/v1` on this application and authenticates with
-`PASCAL_PROXY_SECRET`. That gateway resolves the current enabled Agent model
-and provider from system settings on every request. OpenAI-compatible
+`PASCAL_PROXY_SECRET`. On every request, that gateway resolves the enabled
+model explicitly marked as `multimodalModel` and its provider from system
+settings. It does not fall back to the Agent Auto model. OpenAI-compatible
 `openai`, `custom`, `alibaba`, and `zhipu` providers work without copying their
 API keys into the Pascal service.
 

docs/pascal-production-deployment.md

@@ -1,7 +1,7 @@
 # Pascal Editor 可复用生产部署
 
 本项目把 Pascal Editor 作为独立 Bun/Next.js 服务运行，并通过主站 Nginx
-同域挂载。部署脚本会复用主站登录态、系统设置中的 Agent 文本模型和主站
+同域挂载。部署脚本会复用主站登录态、系统设置中显式标记的“多模态模型”和主站
 Git 仓库里的 `pascal-editor-ai-agent` 独立分支。
 
 ## 默认结构
@@ -72,7 +72,7 @@ sudo env \
 sudo env PASCAL_SMOKE_CONFIRM=1 pnpm pascal:smoke
 ```
 
-真实冒烟会调用当前系统设置中的 Agent 模型，因此默认不会在一键部署时
+真实冒烟会调用当前系统设置中显式标记的“多模态模型”，因此默认不会在一键部署时
 执行。需要每次部署自动执行时设置 `RUN_AGENT_SMOKE_TEST=true`。
 
 ## 常用覆盖项

lib/db/queries.ts

@@ -4782,6 +4782,33 @@ export async function getAgentAiModelWithProvider() {
   return candidates[0];
 }
 
+export async function getMultimodalAiModelWithProvider() {
+  const models = await getEnabledAiModelsWithProvider(false);
+  const healthPriority = (status?: string | null) => {
+    if (status === "healthy") return 0;
+    if (status === "degraded") return 1;
+    if (status === "auto_disabled") return 2;
+    return 3;
+  };
+  const candidates = models
+    .filter(
+      ({ model }) =>
+        isAiModelMultimodal(model) && model.healthStatus !== "auto_disabled"
+    )
+    .sort((a, b) => {
+      const byHealth =
+        healthPriority(a.model.healthStatus) -
+        healthPriority(b.model.healthStatus);
+      if (byHealth !== 0) return byHealth;
+      if (a.model.isDefault !== b.model.isDefault) {
+        return Number(b.model.isDefault) - Number(a.model.isDefault);
+      }
+      return (a.model.sortOrder ?? 0) - (b.model.sortOrder ?? 0);
+    });
+
+  return candidates[0];
+}
+
 /**
  * 🆕 获取指定父模型的所有子模型
  * 用于火山引擎视频等需要智能选择模型的场景