check edge case when options is empty

src/frontend/tests/end-to-end/dropdownComponent.spec.ts

@@ -195,4 +195,66 @@ test("dropDownComponent", async ({ page }) => {
   if (value !== "ai21.j2-ultra-v1") {
     expect(false).toBeTruthy();
   }
-});
+  await page.getByTestId("code-button-modal").click();
+  await page
+    .locator("#CodeEditor div")
+    .filter({ hasText: "from typing import" })
+    .nth(1)
+    .click();
+  await page.locator("textarea").press("Control+a");
+  const emptyOptionsCode = `from typing import Optional
+from langchain.llms.base import BaseLLM
+from langchain_community.llms.bedrock import Bedrock
+
+from langflow.interface.custom.custom_component import CustomComponent
+
+
+class AmazonBedrockComponent(CustomComponent):
+    display_name: str = "Amazon Bedrock"
+    description: str = "LLM model from Amazon Bedrock."
+    icon = "Amazon"
+
+    def build_config(self):
+        return {
+            "model_id": {
+                "display_name": "Model Id",
+                "options": [],
+            },
+            "credentials_profile_name": {"display_name": "Credentials Profile Name"},
+            "streaming": {"display_name": "Streaming", "field_type": "bool"},
+            "endpoint_url": {"display_name": "Endpoint URL"},
+            "region_name": {"display_name": "Region Name"},
+            "model_kwargs": {"display_name": "Model Kwargs"},
+            "cache": {"display_name": "Cache"},
+            "code": {"advanced": True},
+        }
+
+    def build(
+        self,
+        model_id: str = "anthropic.claude-instant-v1",
+        credentials_profile_name: Optional[str] = None,
+        region_name: Optional[str] = None,
+        model_kwargs: Optional[dict] = None,
+        endpoint_url: Optional[str] = None,
+        streaming: bool = False,
+        cache: Optional[bool] = None,
+    ) -> BaseLLM:
+        try:
+            output = Bedrock(
+                credentials_profile_name=credentials_profile_name,
+                model_id=model_id,
+                region_name=region_name,
+                model_kwargs=model_kwargs,
+                endpoint_url=endpoint_url,
+                streaming=streaming,
+                cache=cache,
+            )  # type: ignore
+        except Exception as e:
+            raise ValueError("Could not connect to AmazonBedrock API.") from e
+        return output
+
+  `;
+  await page.locator("textarea").fill(emptyOptionsCode);
+  await page.getByRole('button', { name: 'Check & Save' }).click();
+  await page.getByText("No parameters are available for display.").isVisible();
+})