refactor: Remove unused text_response method from model components

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

@@ -69,15 +69,6 @@ class AmazonBedrockComponent(LCModelComponent):
         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:
         model_id = self.model_id
         credentials_profile_name = self.credentials_profile_name

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

@@ -78,15 +78,6 @@ class AzureChatOpenAIComponent(LCModelComponent):
         Output(display_name="Language Model", name="model_output", method="model_response"),
     ]
 
-    def text_response(self) -> Text:
-        input_value = self.input_value
-        stream = self.stream
-        system_message = self.system_message
-        output = self.model_response()
-        result = self.get_chat_result(output, stream, input_value, system_message)
-        self.status = result
-        return result
-
     def model_response(self) -> LanguageModel:
         model = self.model
         azure_endpoint = self.azure_endpoint

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

@@ -3,7 +3,7 @@ from pydantic.v1 import SecretStr
 
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
-from langflow.io import BoolInput, DropdownInput, FloatInput, Output, SecretStrInput, TextInput
+from langflow.field_typing.constants import LanguageModel
 from langflow.io import BoolInput, DropdownInput, FloatInput, Output, SecretStrInput, TextInput
 
 
@@ -89,15 +89,6 @@ class QianfanChatEndpointComponent(LCModelComponent):
         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:
         model = self.model
         qianfan_ak = self.qianfan_ak

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

@@ -16,7 +16,6 @@ from langflow.io import (
     SecretStrInput,
     StrInput,
 )
-from langflow.schema.message import Message
 
 
 class ChatLiteLLMModelComponent(LCModelComponent):
@@ -128,16 +127,6 @@ class ChatLiteLLMModelComponent(LCModelComponent):
         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)
-        message = Message(text=result)
-        self.status = message
-        return message
-
     def build_model(self) -> LanguageModel:
         try:
             import litellm  # type: ignore

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

@@ -4,7 +4,7 @@ from pydantic.v1 import SecretStr
 
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import LanguageModel, Text
+from langflow.field_typing import LanguageModel
 from langflow.io import BoolInput, FloatInput, MessageInput, Output, SecretStrInput, StrInput
 
 
@@ -37,15 +37,6 @@ class CohereComponent(LCModelComponent):
         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 | BaseChatModel:
         cohere_api_key = self.cohere_api_key
         temperature = self.temperature

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

@@ -73,15 +73,6 @@ class GoogleGenerativeAIComponent(LCModelComponent):
         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:
         try:
             from langchain_google_genai import ChatGoogleGenerativeAI

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

@@ -3,7 +3,7 @@ from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
 
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import LanguageModel, Text
+from langflow.field_typing import LanguageModel
 from langflow.io import BoolInput, DictInput, DropdownInput, MessageInput, Output, SecretStrInput, StrInput
 
 
@@ -36,15 +36,6 @@ class HuggingFaceEndpointsComponent(LCModelComponent):
         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:
         endpoint_url = self.endpoint_url
         task = self.task

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

@@ -3,7 +3,7 @@ from pydantic.v1 import SecretStr
 
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import LanguageModel, Text
+from langflow.field_typing import LanguageModel
 from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput, StrInput
 
 
@@ -70,15 +70,6 @@ class MistralAIModelComponent(LCModelComponent):
         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:
         mistral_api_key = self.mistral_api_key
         temperature = self.temperature

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

@@ -7,7 +7,6 @@ from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import LanguageModel
 from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput
-from langflow.schema.message import Message
 
 
 class ChatOllamaComponent(LCModelComponent):
@@ -224,15 +223,6 @@ class ChatOllamaComponent(LCModelComponent):
         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:
         # Mapping mirostat settings to their corresponding values
         mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2}

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

@@ -1,9 +1,7 @@
 from langchain_google_vertexai import ChatVertexAI
 
-
-from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
-from langflow.field_typing import LanguageModel, Text
+from langflow.field_typing import LanguageModel
 from langflow.io import BoolInput, FileInput, FloatInput, IntInput, MessageInput, MultilineInput, Output, StrInput
 
 
@@ -53,15 +51,6 @@ class ChatVertexAIComponent(LCModelComponent):
         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:
         credentials = self.credentials
         location = self.location