chore: Add LCEmbeddingsModel class for handling embeddings in langflow

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

@@ -0,0 +1,23 @@
+from langflow.custom import Component
+from langflow.field_typing import Embeddings
+from langflow.io import Output
+
+
+class LCEmbeddingsModel(Component):
+    trace_type = "embedding"
+
+    outputs = [
+        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
+    ]
+
+    def _validate_outputs(self):
+        required_output_methods = ["build_embeddings"]
+        output_names = [output.name for output in self.outputs]
+        for method_name in required_output_methods:
+            if method_name not in output_names:
+                raise ValueError(f"Output with name '{method_name}' must be defined.")
+            elif not hasattr(self, method_name):
+                raise ValueError(f"Method '{method_name}' must be defined.")
+
+    def build_embeddings(self) -> Embeddings:
+        raise NotImplementedError("You must implement the build_embeddings method in your class.")

src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py

@@ -1,11 +1,11 @@
 from langchain_openai.embeddings.base import OpenAIEmbeddings
 
-from langflow.base.models.model import LCModelComponent
+from langflow.base.embeddings.model import LCEmbeddingsModel
 from langflow.field_typing import Embeddings
-from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, Output, SecretStrInput, TextInput
+from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
 
 
-class OpenAIEmbeddingsComponent(LCModelComponent):
+class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
     display_name = "OpenAI Embeddings"
     description = "Generate embeddings using OpenAI models."
     icon = "OpenAI"
@@ -66,10 +66,6 @@ class OpenAIEmbeddingsComponent(LCModelComponent):
         ),
     ]
 
-    outputs = [
-        Output(display_name="Embeddings", name="embeddings", method="build_embeddings"),
-    ]
-
     def build_embeddings(self) -> Embeddings:
         return OpenAIEmbeddings(
             tiktoken_enabled=self.tiktoken_enable,