fix: distinguish image connection and generation checks

apps/web/components/settings-center.tsx

@@ -249,6 +249,7 @@ export function SettingsCenter({ open, onClose, onReadinessChange }: SettingsCen
       });
       const result = await response.json() as TestResult;
       setTestResults((current) => ({ ...current, [target]: result }));
+      await loadSettings();
       setNotice({ tone: result.ok ? "success" : "error", text: result.message });
     } catch (error) {
       setNotice({ tone: "error", text: getErrorMessage(error) });
@@ -568,7 +569,7 @@ function ModelPoolPanel({ draft, tests, busy, onChange, onTest, onTrial }: Model
           <div className="model-editor-heading">
             <div>
               <h3>{pool.some((item) => item.id === editor.id) ? "编辑模型" : "添加模型"}</h3>
-              <p>测试会核对当前账号的模型列表，并准确指出哪个模型 ID 不可用。</p>
+              <p>“验证连接”检查地址、密钥和模型列表；部分媒体模型不会出现在列表中，最终以“试生成”的端到端结果为准。</p>
             </div>
             <button className="icon-button small" type="button" onClick={() => setEditor(null)} aria-label="关闭模型编辑器">
               <XIcon size={16} />
@@ -815,7 +816,7 @@ function ModelGroup({ title, description, category, models, tests, busy, onAdd,
                 <div className="model-row-actions">
                   <button className="button button-secondary compact" type="button" onClick={() => onTest(model.id)} disabled={Boolean(busy) || !model.enabled}>
                     {busy === target ? <ArrowClockwiseIcon className="spin" size={14} /> : <PlugIcon size={14} />}
-                    验证模型
+                    验证连接
                   </button>
                   {model.capabilities.includes("image_generation") ? (
                     <button className="button button-secondary compact" type="button" onClick={() => onTrial(model.id)} disabled={Boolean(busy) || !model.enabled} title="会消耗一次模型调用额度">

docs/settings.md

@@ -39,8 +39,8 @@
 
 每个模型提供两种测试：
 
-- “验证模型”只访问模型列表并检查协议和路径，不生图、不扣费，用于定位模型 ID、凭证或配置错误。
-- “试生成”会在用户确认后真实生成一张低成本测试图，会消耗一次调用额度，用来证明创建任务、轮询状态和取得结果的完整链路可用。
+- “验证连接”只检查地址、API Key、模型列表、协议和路径，不生图、不扣费。部分聚合平台不会在 `/v1/models` 中公开媒体模型 ID，此时不能据此判定模型不可用。
+- “试生成”会在用户确认后真实生成一张低成本测试图并消耗一次调用额度。其成功结果是生图模型端到端可用性的最终依据，并会自动将该模型标记为已通过测试。
 
 总调度模型必须由用户从大语言模型池中指定。空间理解和生图各自支持两种方式：
 

services/api/app/api/settings.py

@@ -86,7 +86,21 @@ async def test_model_generation(
     store: EncryptedSettingsStore = Depends(get_runtime_store),
 ) -> RuntimeSettingsTestResult:
     try:
-        return await test_image_generation(store.merged_values(), model_id)
+        values = store.merged_values()
+        result = await test_image_generation(values, model_id)
+        store.record_test(result, values)
+        definitive_result = RuntimeSettingsTestResult(
+            target=f"model:{model_id}",
+            ok=result.ok,
+            message=(
+                result.message
+                if not result.ok
+                else "已通过一次真实生图端到端验证；模型、鉴权、请求参数、任务轮询和结果读取均可用。"
+            ),
+            details=result.details,
+        )
+        store.record_test(definitive_result, values)
+        return result
     except (RuntimeError, ValueError) as exc:
         return RuntimeSettingsTestResult(
             target=f"generation:{model_id}",

services/api/app/runtime_settings.py

@@ -342,7 +342,9 @@ class EncryptedSettingsStore:
             document["tests"] = {
                 target: result
                 for target, result in document["tests"].items()
-                if not target.startswith("model:") or target.removeprefix("model:") in current_ids
+                if not (
+                    target.startswith("model:") or target.startswith("generation:")
+                ) or target.split(":", 1)[1] in current_ids
             }
         self.save_document(document)
 
@@ -525,8 +527,8 @@ class EncryptedSettingsStore:
     ) -> dict[str, dict[str, Any]]:
         current: dict[str, dict[str, Any]] = {}
         for target, result in tests.items():
-            if target.startswith("model:"):
-                model_id = target.removeprefix("model:")
+            if target.startswith("model:") or target.startswith("generation:"):
+                model_id = target.split(":", 1)[1]
                 if not any(item.get("id") == model_id for item in values.get("model_pool", [])):
                     continue
             item = dict(result)
@@ -542,8 +544,8 @@ class EncryptedSettingsStore:
                 "database_url": self.bootstrap.database_url,
                 "redis_url": self.bootstrap.redis_url,
             }
-        elif target.startswith("model:"):
-            model_id = target.removeprefix("model:")
+        elif target.startswith("model:") or target.startswith("generation:"):
+            model_id = target.split(":", 1)[1]
             relevant = next(
                 (item for item in values.get("model_pool", []) if item.get("id") == model_id),
                 {"id": model_id, "missing": True},
@@ -742,7 +744,34 @@ async def test_model_pool_item(values: dict[str, Any], model_id: str) -> Runtime
         for candidate in rows
         if isinstance(candidate, dict) and candidate.get("id")
     }
+    protocol_error = _validate_image_protocol(item)
+    if protocol_error:
+        return RuntimeSettingsTestResult(
+            target=target,
+            ok=False,
+            message=f"模型“{name}”的生图协议配置不正确：{protocol_error}",
+            details={"model_id": item["model_id"], "model_count": len(listed_ids)},
+        )
+    is_aigc_media = (
+        "image_generation" in item.get("capabilities", [])
+        and item.get("image_protocol") == "aigc_media"
+    )
     if not listed_ids:
+        if is_aigc_media:
+            return RuntimeSettingsTestResult(
+                target=target,
+                ok=True,
+                message=(
+                    f"模型“{name}”的 API Key 与模型列表接口连接正常；平台未在 /v1/models 中公开媒体模型 ID"
+                    f"“{item['model_id']}”，这里只完成连接与鉴权验证。最终可用性以“试生成”为准。"
+                ),
+                details={
+                    "model_id": item["model_id"],
+                    "model_count": 0,
+                    "id_advertised": False,
+                    "verification": "connectivity_only",
+                },
+            )
         return RuntimeSettingsTestResult(
             target=target,
             ok=False,
@@ -750,20 +779,27 @@ async def test_model_pool_item(values: dict[str, Any], model_id: str) -> Runtime
             details={"model_id": item["model_id"], "model_count": 0},
         )
     if item["model_id"] not in listed_ids:
+        if is_aigc_media:
+            return RuntimeSettingsTestResult(
+                target=target,
+                ok=True,
+                message=(
+                    f"模型“{name}”的 API Key 与模型列表接口连接正常；平台返回了 {len(listed_ids)} 个模型，"
+                    f"但未公开媒体模型 ID“{item['model_id']}”。这不是生图失败，最终可用性以“试生成”为准。"
+                ),
+                details={
+                    "model_id": item["model_id"],
+                    "model_count": len(listed_ids),
+                    "id_advertised": False,
+                    "verification": "connectivity_only",
+                },
+            )
         return RuntimeSettingsTestResult(
             target=target,
             ok=False,
             message=f"模型“{name}”测试失败：账号模型列表中未找到 ID“{item['model_id']}”。",
             details={"model_id": item["model_id"], "model_count": len(listed_ids)},
         )
-    protocol_error = _validate_image_protocol(item)
-    if protocol_error:
-        return RuntimeSettingsTestResult(
-            target=target,
-            ok=False,
-            message=f"模型“{name}”的 ID 可用，但生图协议配置不正确：{protocol_error}",
-            details={"model_id": item["model_id"], "model_count": len(listed_ids)},
-        )
     return RuntimeSettingsTestResult(
         target=target,
         ok=True,

services/api/tests/test_image_gateway.py

@@ -1,6 +1,7 @@
 import pytest
 
 from app.integrations.openai_compatible import OpenAICompatibleGateway
+from app.runtime_settings import RuntimeSettingsTestResult, test_model_pool_item as run_model_pool_test
 
 
 def image_values(profile: str, model_id: str) -> dict:
@@ -110,3 +111,67 @@ async def test_aigc_media_polls_task_until_result_url(monkeypatch) -> None:
 
     assert result["state"] == "success"
     assert result["data"] == [{"url": "https://cdn.example.com/final.png"}]
+
+
+@pytest.mark.asyncio
+async def test_aigc_media_connection_accepts_model_list_omission(monkeypatch) -> None:
+    class FakeResponse:
+        def raise_for_status(self) -> None:
+            return None
+
+        def json(self) -> dict:
+            return {"data": [{"id": "language-model-only"}]}
+
+    class FakeClient:
+        async def __aenter__(self):
+            return self
+
+        async def __aexit__(self, *args) -> None:
+            return None
+
+        async def get(self, *args, **kwargs) -> FakeResponse:
+            return FakeResponse()
+
+    monkeypatch.setattr("app.runtime_settings.httpx.AsyncClient", lambda **kwargs: FakeClient())
+
+    result = await run_model_pool_test(
+        image_values("gpt_image_2", "gpt-image-2"),
+        "image",
+    )
+
+    assert result.ok is True
+    assert result.details["id_advertised"] is False
+    assert result.details["verification"] == "connectivity_only"
+    assert "最终可用性以“试生成”为准" in result.message
+
+
+@pytest.mark.asyncio
+async def test_generation_endpoint_records_definitive_model_result(monkeypatch) -> None:
+    from app.api.settings import test_model_generation
+
+    class FakeStore:
+        def __init__(self) -> None:
+            self.recorded: list[RuntimeSettingsTestResult] = []
+
+        def merged_values(self) -> dict:
+            return image_values("gpt_image_2", "gpt-image-2")
+
+        def record_test(self, result: RuntimeSettingsTestResult, values: dict) -> None:
+            self.recorded.append(result)
+
+    async def fake_generation(values: dict, model_id: str) -> RuntimeSettingsTestResult:
+        return RuntimeSettingsTestResult(
+            target=f"generation:{model_id}",
+            ok=True,
+            message="端到端可用",
+        )
+
+    monkeypatch.setattr("app.api.settings.test_image_generation", fake_generation)
+    store = FakeStore()
+
+    result = await test_model_generation("image", store=store)
+
+    assert result.ok is True
+    assert [item.target for item in store.recorded] == ["generation:image", "model:image"]
+    assert store.recorded[1].ok is True
+    assert "真实生图端到端验证" in store.recorded[1].message