refactor(embeddings/base.py): add EmbeddingFrontendNode as a property of EmbeddingCreator

fix(loading.py): remove headers from params before instantiating embedding
refactor(nodes.py): add EmbeddingFrontendNode and hide headers field in it

src/backend/langflow/interface/embeddings/base.py

@@ -1,8 +1,10 @@
-from typing import Dict, List, Optional
+from typing import Dict, List, Optional, Type
 
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import embedding_type_to_cls_dict
 from langflow.settings import settings
+from langflow.template.base import FrontendNode
+from langflow.template.nodes import EmbeddingFrontendNode
 from langflow.utils.logger import logger
 from langflow.utils.util import build_template_from_class
 
@@ -14,6 +16,10 @@ class EmbeddingCreator(LangChainTypeCreator):
     def type_to_loader_dict(self) -> Dict:
         return embedding_type_to_cls_dict
 
+    @property
+    def frontend_node_class(self) -> Type[FrontendNode]:
+        return EmbeddingFrontendNode
+
     def get_signature(self, name: str) -> Optional[Dict]:
         """Get the signature of an embedding."""
         try:

src/backend/langflow/interface/loading.py

@@ -108,6 +108,7 @@ def instantiate_toolkit(node_type, class_object, params):
 
 def instantiate_embedding(class_object, params):
     params.pop("model", None)
+    params.pop("headers", None)
     try:
         return class_object(**params)
     except ValidationError:

src/backend/langflow/template/nodes.py

@@ -614,3 +614,11 @@ class LLMFrontendNode(FrontendNode):
         elif field.name in ["model_name", "temperature"]:
             field.advanced = False
             field.show = True
+
+
+class EmbeddingFrontendNode(FrontendNode):
+    @staticmethod
+    def format_field(field: TemplateField, name: Optional[str] = None) -> None:
+        FrontendNode.format_field(field, name)
+        if field.name == "headers":
+            field.show = False