fix(models): mark Google + IBM embedding models deprecated

Flag the Google Generative AI and IBM WatsonX embedding model entries in
the unified model catalog as deprecated. They are not natively supported
by Knowledge Base ingestion, so users were attempting invalid
configurations. The KB upload picker and Model Providers modal now fetch
with include_deprecated=true and render a "Deprecated" badge so the
models stay visible but are clearly flagged as unsupported.

Author: keval718

src/frontend/src/components/core/parameterRenderComponent/components/modelInputComponent/components/ModelList.tsx

@@ -1,4 +1,5 @@
 import ForwardedIconComponent from "@/components/common/genericIconComponent";
+import { Badge } from "@/components/ui/badge";
 import {
   CommandGroup,
   CommandItem,
@@ -52,6 +53,15 @@ const ModelList = ({
                   className="h-4 w-4 shrink-0 text-primary ml-2"
                 />
                 <div className="truncate text-[13px]">{data.name}</div>
+                {data.metadata?.deprecated ? (
+                  <Badge
+                    variant="secondaryStatic"
+                    size="tag"
+                    data-testid={`${data.name}-deprecated-badge`}
+                  >
+                    Deprecated
+                  </Badge>
+                ) : null}
                 <div className="pl-2 ml-auto">
                   <ForwardedIconComponent
                     name="Check"

src/frontend/src/modals/knowledgeBaseUploadModal/hooks/useKnowledgeBaseForm.ts

@@ -44,8 +44,11 @@ export function useKnowledgeBaseForm({
   // Wizard state
   const [currentStep, setCurrentStep] = useState<WizardStep>(1);
 
-  // Fetch embedding model data from API
-  const { data: modelProviders = [] } = useGetModelProviders({});
+  // Fetch embedding model data from API. Include deprecated entries so the
+  // picker can surface them with a "Deprecated" badge instead of dropping them.
+  const { data: modelProviders = [] } = useGetModelProviders({
+    includeDeprecated: true,
+  });
 
   // Transform provider data into ModelOption[] for embedding models only
   const embeddingModelOptions = useMemo<ModelOption[]>(() => {

src/frontend/src/modals/modelProviderModal/components/ModelSelection.tsx

@@ -1,4 +1,5 @@
 import ForwardedIconComponent from "@/components/common/genericIconComponent";
+import { Badge } from "@/components/ui/badge";
 import { Switch } from "@/components/ui/switch";
 import { useGetEnabledModels } from "@/controllers/API/queries/models/use-get-enabled-models";
 
@@ -40,6 +41,15 @@ const ModelRow = ({
       >
         {model.model_name}
       </span>
+      {model.metadata?.deprecated ? (
+        <Badge
+          variant="secondaryStatic"
+          size="tag"
+          data-testid={`${testIdPrefix}-deprecated-${model.model_name}`}
+        >
+          Deprecated
+        </Badge>
+      ) : null}
     </div>
     {isEnabledModel && (
       <Switch

src/frontend/src/modals/modelProviderModal/components/ProviderList.tsx

@@ -22,7 +22,7 @@ const ProviderList = ({
     data: rawProviders = [],
     isLoading,
     isFetching,
-  } = useGetModelProviders({});
+  } = useGetModelProviders({ includeDeprecated: true });
 
   const filteredProviders: Provider[] = useMemo(() => {
     return rawProviders.map((provider) => {

src/frontend/src/modals/modelProviderModal/hooks/useProviderConfiguration.ts

@@ -105,7 +105,7 @@ export const useProviderConfiguration = ({
   const { refreshAllModelInputs } = useRefreshModelInputs();
   const { data: modelProviders = [], isFetching: isFetchingModels } =
     useGetModelProviders(
-      {},
+      { includeDeprecated: true },
       {
         refetchInterval:
           syncedSelectedProvider?.provider?.toLowerCase() === "ollama"

src/lfx/src/lfx/base/models/google_generative_ai_constants.py

@@ -113,13 +113,16 @@
 ]
 
 # Embedding models as detailed metadata
+# Marked deprecated: not natively supported by the Knowledge Base ingestion
+# flow; hidden from the embedding model picker until support is added.
 GOOGLE_GENERATIVE_AI_EMBEDDING_MODELS_DETAILED = [
     create_model_metadata(
         provider="Google Generative AI",
         name=name,
         icon="GoogleGenerativeAI",
         model_type="embeddings",
         default=True,
+        deprecated=True,
     )
     for name in GOOGLE_GENERATIVE_AI_EMBEDDING_MODELS
 ]

src/lfx/src/lfx/base/models/watsonx_constants.py

@@ -27,6 +27,8 @@
     ),
 ]
 
+# Marked deprecated: not natively supported by the Knowledge Base ingestion
+# flow; hidden from the embedding model picker until support is added.
 WATSONX_DEFAULT_EMBEDDING_MODELS = [
     create_model_metadata(
         provider="IBM WatsonX",
@@ -35,6 +37,7 @@
         model_type="embeddings",
         tool_calling=True,
         default=True,
+        deprecated=True,
     ),
     create_model_metadata(
         provider="IBM WatsonX",
@@ -43,6 +46,7 @@
         model_type="embeddings",
         tool_calling=True,
         default=True,
+        deprecated=True,
     ),
     create_model_metadata(
         provider="IBM WatsonX",
@@ -51,6 +55,7 @@
         model_type="embeddings",
         tool_calling=True,
         default=True,
+        deprecated=True,
     ),
     create_model_metadata(
         provider="IBM WatsonX",
@@ -59,6 +64,7 @@
         model_type="embeddings",
         tool_calling=True,
         default=True,
+        deprecated=True,
     ),
 ]