refactor: Update LCModelComponent to include text_response method and outputs for text and language model

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

@@ -9,12 +9,37 @@ from langflow.base.models.exceptions import get_message_from_openai_exception
 from langflow.custom import Component
 from langflow.field_typing import LanguageModel
 from langflow.schema.message import Message
+from langflow.template.field.base import Output
 
 
 class LCModelComponent(Component):
     display_name: str = "Model Name"
     description: str = "Model Description"
 
+    outputs = [
+        Output(display_name="Text", name="text_output", method="text_response"),
+        Output(display_name="Language Model", name="model_output", method="build_model"),
+    ]
+
+    def _validate_outputs(self):
+        # At least these two outputs must be defined
+        required_output_methods = ["text_response", "build_model"]
+        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 text_response(self) -> Message:
+        input_value = self.input_value
+        stream = self.stream
+        system_message = self.system_message
+        output = self.build_model()
+        result = self.get_chat_result(output, stream, input_value, system_message)
+        self.status = result
+        return result
+
     def get_result(self, runnable: LLM, stream: bool, input_value: str):
         """
         Retrieves the result from the output of a Runnable object.

src/backend/base/langflow/components/models/GroqModel.py

@@ -4,8 +4,8 @@ from pydantic.v1 import SecretStr
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.groq_constants import MODEL_NAMES
 from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import LanguageModel, Text
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, Output, SecretStrInput, TextInput
+from langflow.field_typing import LanguageModel
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
 
 
 class GroqModel(LCModelComponent):
@@ -68,20 +68,6 @@ class GroqModel(LCModelComponent):
         ),
     ]
 
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
-
-    def text_response(self) -> Text:
-        input_value = self.input_value
-        stream = self.stream
-        system_message = self.system_message
-        output = self.build_model()
-        result = self.get_chat_result(output, stream, input_value, system_message)
-        self.status = result
-        return result
-
     def build_model(self) -> LanguageModel:
         groq_api_key = self.groq_api_key
         model_name = self.model_name

src/backend/base/langflow/components/models/OpenAIModel.py

@@ -18,8 +18,6 @@ from langflow.inputs import (
     SecretStrInput,
     StrInput,
 )
-from langflow.schema.message import Message
-from langflow.template import Output
 
 
 class OpenAIModelComponent(LCModelComponent):
@@ -75,19 +73,6 @@ class OpenAIModelComponent(LCModelComponent):
             value=1,
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
-
-    def text_response(self) -> Message:
-        input_value = self.input_value
-        stream = self.stream
-        system_message = self.system_message
-        output = self.build_model()
-        result = self.get_chat_result(output, stream, input_value, system_message)
-        self.status = result
-        return result
 
     def build_model(self) -> LanguageModel:
         # self.output_schea is a list of dictionaries