fix: azure openai model component: resource not found (#2426)

* fix azure openai model component: resource not found

* type

* type

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

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

@@ -1,5 +1,6 @@
 import json
 import warnings
+from abc import abstractmethod
 from typing import Optional, Union
 
 from langchain_core.language_models.llms import LLM
@@ -164,3 +165,9 @@ class LCModelComponent(Component):
             if message := self._get_exception_message(e):
                 raise ValueError(message) from e
             raise e
+
+    @abstractmethod
+    def build_model(self) -> LanguageModel:
+        """
+        Implement this method to build the model.
+        """

src/backend/base/langflow/components/models/AnthropicModel.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
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageTextInput, Output, SecretStrInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
 
 
 class AnthropicModelComponent(LCModelComponent):
@@ -59,10 +59,6 @@ class AnthropicModelComponent(LCModelComponent):
             advanced=True,
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
 
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         model = self.model

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

@@ -1,10 +1,9 @@
 from langchain_openai import AzureChatOpenAI
-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
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput, StrInput
+from langflow.inputs import MessageTextInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, SecretStrInput, StrInput
 
 
 class AzureChatOpenAIComponent(LCModelComponent):
@@ -14,16 +13,6 @@ class AzureChatOpenAIComponent(LCModelComponent):
     beta = False
     icon = "Azure"
 
-    AZURE_OPENAI_MODELS = [
-        "gpt-35-turbo",
-        "gpt-35-turbo-16k",
-        "gpt-35-turbo-instruct",
-        "gpt-4",
-        "gpt-4-32k",
-        "gpt-4o",
-        "gpt-4-turbo",
-    ]
-
     AZURE_OPENAI_API_VERSIONS = [
         "2023-03-15-preview",
         "2023-05-15",
@@ -37,26 +26,20 @@ class AzureChatOpenAIComponent(LCModelComponent):
     ]
 
     inputs = [
-        DropdownInput(
+        MessageTextInput(
-            name="model",
-            display_name="Model Name",
-            options=AZURE_OPENAI_MODELS,
-            value=AZURE_OPENAI_MODELS[0],
-        ),
-        StrInput(
             name="azure_endpoint",
             display_name="Azure Endpoint",
             info="Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`",
+            required=True,
         ),
-        StrInput(name="azure_deployment", display_name="Deployment Name"),
+        MessageTextInput(name="azure_deployment", display_name="Deployment Name", required=True),
+        SecretStrInput(name="api_key", display_name="API Key"),
         DropdownInput(
             name="api_version",
             display_name="API Version",
             options=AZURE_OPENAI_API_VERSIONS,
             value=AZURE_OPENAI_API_VERSIONS[-1],
-            advanced=True,
         ),
-        SecretStrInput(name="api_key", display_name="API Key", password=True),
         FloatInput(name="temperature", display_name="Temperature", value=0.7),
         IntInput(
             name="max_tokens",
@@ -73,13 +56,8 @@ class AzureChatOpenAIComponent(LCModelComponent):
             info="System message to pass to the model.",
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="model_response"),
-    ]
 
-    def model_response(self) -> LanguageModel:  # type: ignore[type-var]
+    def build_model(self) -> LanguageModel:  # type: ignore[type-var]
-        model = self.model
         azure_endpoint = self.azure_endpoint
         azure_deployment = self.azure_deployment
         api_version = self.api_version
@@ -88,23 +66,17 @@ class AzureChatOpenAIComponent(LCModelComponent):
         max_tokens = self.max_tokens
         stream = self.stream
 
-        if api_key:
-            secret_api_key = SecretStr(api_key)
-        else:
-            secret_api_key = None
-
         try:
             output = AzureChatOpenAI(
-                model=model,
                 azure_endpoint=azure_endpoint,
                 azure_deployment=azure_deployment,
                 api_version=api_version,
-                api_key=secret_api_key,
+                api_key=api_key,
                 temperature=temperature,
                 max_tokens=max_tokens or None,
                 streaming=stream,
             )
         except Exception as e:
-            raise ValueError("Could not connect to AzureOpenAI API.") from e
+            raise ValueError(f"Could not connect to AzureOpenAI API: {str(e)}") from e
 
         return output  # type: ignore

src/backend/base/langflow/components/models/BaiduQianfanChatModel.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.constants import LanguageModel
-from langflow.io import BoolInput, DropdownInput, FloatInput, MessageTextInput, Output, SecretStrInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, MessageTextInput, SecretStrInput
 
 
 class QianfanChatEndpointComponent(LCModelComponent):
@@ -84,10 +84,6 @@ class QianfanChatEndpointComponent(LCModelComponent):
             advanced=True,
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
 
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         model = self.model

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

@@ -5,7 +5,7 @@ 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
-from langflow.io import BoolInput, FloatInput, MessageInput, Output, SecretStrInput, StrInput
+from langflow.io import BoolInput, FloatInput, MessageInput, SecretStrInput, StrInput
 
 
 class CohereComponent(LCModelComponent):
@@ -32,10 +32,6 @@ class CohereComponent(LCModelComponent):
             advanced=True,
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
 
     def build_model(self) -> LanguageModel | BaseChatModel:
         cohere_api_key = self.cohere_api_key

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

@@ -4,7 +4,7 @@ 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
-from langflow.io import BoolInput, DictInput, DropdownInput, MessageInput, Output, SecretStrInput, StrInput
+from langflow.io import BoolInput, DictInput, DropdownInput, MessageInput, SecretStrInput, StrInput
 
 
 class HuggingFaceEndpointsComponent(LCModelComponent):
@@ -31,11 +31,6 @@ class HuggingFaceEndpointsComponent(LCModelComponent):
         ),
     ]
 
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
-
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         endpoint_url = self.endpoint_url
         task = self.task

src/backend/base/langflow/components/models/MistralModel.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
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput, StrInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, SecretStrInput, StrInput
 
 
 class MistralAIModelComponent(LCModelComponent):
@@ -65,11 +65,6 @@ class MistralAIModelComponent(LCModelComponent):
         BoolInput(name="safe_mode", display_name="Safe Mode", advanced=True),
     ]
 
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
-
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         mistral_api_key = self.mistral_api_key
         temperature = self.temperature

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

@@ -6,7 +6,7 @@ from langchain_community.chat_models import ChatOllama
 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.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageInput, StrInput
 
 
 class ChatOllamaComponent(LCModelComponent):
@@ -218,10 +218,6 @@ class ChatOllamaComponent(LCModelComponent):
             advanced=True,
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
 
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         # Mapping mirostat settings to their corresponding values

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

@@ -3,7 +3,7 @@ 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
-from langflow.io import BoolInput, FileInput, FloatInput, IntInput, MessageInput, MultilineInput, Output, StrInput
+from langflow.io import BoolInput, FileInput, FloatInput, IntInput, MessageInput, MultilineInput, StrInput
 
 
 class ChatVertexAIComponent(LCModelComponent):
@@ -47,10 +47,6 @@ class ChatVertexAIComponent(LCModelComponent):
             advanced=True,
         ),
     ]
-    outputs = [
-        Output(display_name="Text", name="text_output", method="text_response"),
-        Output(display_name="Language Model", name="model_output", method="build_model"),
-    ]
 
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         credentials = self.credentials