📝 fix format

src/funcchain/model/patches/azure.py

@@ -58,14 +58,14 @@ class AzureChatOpenAI(ChatOpenAI):
 
     azure_endpoint: Union[str, None] = None
     """Your Azure endpoint, including the resource.
-    
+
         Automatically inferred from env var `AZURE_OPENAI_ENDPOINT` if not provided.
-    
+
         Example: `https://example-resource.azure.openai.com/`
     """
     deployment_name: Union[str, None] = Field(default=None, alias="azure_deployment")
-    """A model deployment. 
-    
+    """A model deployment.
+
         If given sets the base client URL to include `/deployments/{azure_deployment}`.
         Note: this means you won't be able to use non-deployment endpoints.
     """
@@ -75,23 +75,23 @@ class AzureChatOpenAI(ChatOpenAI):
     """Automatically inferred from env var `AZURE_OPENAI_API_KEY` if not provided."""
     azure_ad_token: Optional[SecretStr] = None
     """Your Azure Active Directory token.
-    
+
         Automatically inferred from env var `AZURE_OPENAI_AD_TOKEN` if not provided.
-        
-        For more: 
+
+        For more:
         https://www.microsoft.com/en-us/security/business/identity-access/microsoft-entra-id.
     """  # noqa: E501
     azure_ad_token_provider: Union[Callable[[], str], None] = None
     """A function that returns an Azure Active Directory token.
-        
+
         Will be invoked on every request.
     """
     model_version: str = ""
     """Legacy, for openai<1.0.0 support."""
     openai_api_type: str = ""
     """Legacy, for openai<1.0.0 support."""
     validate_base_url: bool = True
-    """For backwards compatibility. If legacy val openai_api_base is passed in, try to 
+    """For backwards compatibility. If legacy val openai_api_base is passed in, try to
         infer if it is a base_url or azure_endpoint and update accordingly.
     """
 

src/funcchain/model/patches/openai.py

@@ -245,14 +245,14 @@ def is_lc_serializable(cls) -> bool:
     openai_api_key: Optional[SecretStr] = Field(default=None, alias="api_key")
     """Automatically inferred from env var `OPENAI_API_KEY` if not provided."""
     openai_api_base: Optional[str] = Field(default=None, alias="base_url")
-    """Base URL path for API requests, leave blank if not using a proxy or service 
+    """Base URL path for API requests, leave blank if not using a proxy or service
         emulator."""
     openai_organization: Optional[str] = Field(default=None, alias="organization")
     """Automatically inferred from env var `OPENAI_ORG_ID` if not provided."""
     # to support explicit proxy for OpenAI
     openai_proxy: Optional[str] = None
     request_timeout: Union[float, Tuple[float, float], Any, None] = Field(default=None, alias="timeout")
-    """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or 
+    """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or
         None."""
     max_retries: int = 2
     """Maximum number of retries to make when generating."""
@@ -263,14 +263,14 @@ def is_lc_serializable(cls) -> bool:
     max_tokens: Optional[int] = None
     """Maximum number of tokens to generate."""
     tiktoken_model_name: Optional[str] = None
-    """The model name to pass to tiktoken when using this class. 
-    Tiktoken is used to count the number of tokens in documents to constrain 
-    them to be under a certain limit. By default, when set to None, this will 
-    be the same as the embedding model name. However, there are some cases 
-    where you may want to use this Embedding class with a model name not 
-    supported by tiktoken. This can include when using Azure embeddings or 
-    when using one of the many model providers that expose an OpenAI-like 
-    API but with different models. In those cases, in order to avoid erroring 
+    """The model name to pass to tiktoken when using this class.
+    Tiktoken is used to count the number of tokens in documents to constrain
+    them to be under a certain limit. By default, when set to None, this will
+    be the same as the embedding model name. However, there are some cases
+    where you may want to use this Embedding class with a model name not
+    supported by tiktoken. This can include when using Azure embeddings or
+    when using one of the many model providers that expose an OpenAI-like
+    API but with different models. In those cases, in order to avoid erroring
     when tiktoken is called, you can specify a model name to use here."""
     default_headers: Union[Mapping[str, str], None] = None
     default_query: Union[Mapping[str, object], None] = None