Fix: Ensure compatibility with DSLF Overlays in Astra DB Component (#…

…5876)

* fix: address DSLF issues with Astra DB component

* Update Vector Store RAG.json

* [autofix.ci] apply automated fixes

* Update astradb.py

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

src/backend/base/langflow/components/vectorstores/astradb.py

@@ -127,7 +127,7 @@ class NewCollectionInput:
             name="api_endpoint",
             display_name="API Endpoint",
             info="The API endpoint for the Astra DB instance.",
-            advanced=True,
+            show=os.getenv("LANGFLOW_HOST") is not None,  # TODO: Clean up all examples of these
         ),
         DropdownInput(
             name="database_name",
@@ -145,6 +145,7 @@ class NewCollectionInput:
             ],
             value="",
             combobox=True,
+            show=os.getenv("LANGFLOW_HOST") is None,
         ),
         DropdownInput(
             name="collection_name",
@@ -165,6 +166,15 @@ class NewCollectionInput:
             ],
             value="",
         ),
+        DropdownInput(
+            name="vectorize_choice",
+            display_name="Embedding Model or Astra Vectorize",
+            info="Choose an embedding model or use Astra Vectorize.",
+            options=["Embedding Model", "Astra Vectorize"],
+            value="Embedding Model",
+            show=os.getenv("LANGFLOW_HOST") is not None,
+            real_time_refresh=True,
+        ),
         StrInput(
             name="keyspace",
             display_name="Keyspace",
@@ -490,6 +500,16 @@ def _initialize_collection_options(self):
             return []
 
     def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):
+        if field_name == "vectorize_choice":
+            if field_value == "Astra Vectorize":
+                build_config["embedding_model"]["show"] = False
+                build_config["embedding_model"]["required"] = False
+            else:
+                build_config["embedding_model"]["show"] = True
+                build_config["embedding_model"]["required"] = True
+
+            return build_config
+
         if not self.token or not self.token.startswith("AstraCS:"):
             build_config["database_name"]["info"] = "Add a Valid Token to Select a Database"
         else:
@@ -594,7 +614,11 @@ def build_vector_store(self):
             raise ImportError(msg) from e
 
         # Get the embedding model and additional params
-        embedding_params = {"embedding": self.embedding_model} if self.embedding_model else {}
+        embedding_params = (
+            {"embedding": self.embedding_model}
+            if self.embedding_model and self.vectorize_choice == "Embedding Model"
+            else {}
+        )
         additional_params = self.astradb_vectorstore_kwargs or {}
 
         # Get Langflow version and platform information