Update README.md (Azure#39326)

Fix missing comma. Thank you @jerryshia for reporting this

Author: dargilco

sdk/ai/azure-ai-inference/README.md

@@ -165,7 +165,7 @@ from azure.core.credentials import AzureKeyCredential
 # For Serverless API or Managed Compute endpoints
 client = ChatCompletionsClient(
     endpoint=endpoint,
-    credential=AzureKeyCredential(key)
+    credential=AzureKeyCredential(key),
     temperature=0.5,
     max_tokens=1000
 )

sdk/ai/azure-ai-inference/azure/ai/inference/_patch.py

@@ -115,6 +115,8 @@ def load_client(
     """
     Load a client from a given endpoint URL. The method makes a REST API call to the `/info` route
     on the given endpoint, to determine the model type and therefore which client to instantiate.
+    Keyword arguments are passed to the appropriate client's constructor, so if you need to set things like
+    `api_version`, `logging_enable`, `user_agent`, etc., you can do so here.
     This method will only work when using Serverless API or Managed Compute endpoint.
     It will not work for GitHub Models endpoint or Azure OpenAI endpoint.
 
@@ -124,10 +126,6 @@ def load_client(
      AzureKeyCredential type or a TokenCredential type. Required.
     :type credential: ~azure.core.credentials.AzureKeyCredential or
      ~azure.core.credentials.TokenCredential
-    :keyword api_version: The API version to use for this operation. Default value is
-     "2024-05-01-preview". Note that overriding this default value may result in unsupported
-     behavior.
-    :paramtype api_version: str
     :return: The appropriate synchronous client associated with the given endpoint
     :rtype: ~azure.ai.inference.ChatCompletionsClient or ~azure.ai.inference.EmbeddingsClient
      or ~azure.ai.inference.ImageEmbeddingsClient

sdk/ai/azure-ai-inference/azure/ai/inference/aio/_patch.py

@@ -55,21 +55,20 @@
 async def load_client(
     endpoint: str, credential: Union[AzureKeyCredential, "AsyncTokenCredential"], **kwargs: Any
 ) -> Union["ChatCompletionsClient", "EmbeddingsClient", "ImageEmbeddingsClient"]:
-    # pylint: disable=line-too-long
     """
     Load a client from a given endpoint URL. The method makes a REST API call to the `/info` route
     on the given endpoint, to determine the model type and therefore which client to instantiate.
+    Keyword arguments are passed to the appropriate client constructor, so if you need to set things like
+    `api_version`, `logging_enable`, `user_agent`, etc., you can do so here.
+    This method will only work when using Serverless API or Managed Compute endpoint.
+    It will not work for GitHub Models endpoint or Azure OpenAI endpoint.
 
     :param endpoint: Service host. Required.
     :type endpoint: str
     :param credential: Credential used to authenticate requests to the service. Is either a
      AzureKeyCredential type or a AsyncTokenCredential type. Required.
     :type credential: ~azure.core.credentials.AzureKeyCredential or
      ~azure.core.credentials_async.AsyncTokenCredential
-    :keyword api_version: The API version to use for this operation. Default value is
-     "2024-05-01-preview". Note that overriding this default value may result in unsupported
-     behavior.
-    :paramtype api_version: str
     :return: The appropriate asynchronous client associated with the given endpoint
     :rtype: ~azure.ai.inference.aio.ChatCompletionsClient or ~azure.ai.inference.aio.EmbeddingsClient
      or ~azure.ai.inference.aio.ImageEmbeddingsClient

sdk/ai/azure-ai-inference/azure/ai/inference/models/_patch.py

@@ -267,13 +267,13 @@ def load(
         file and encodes it as a base64 string, which together with the image format
         is then used to format the JSON `url` value passed in the request payload.
 
-        :ivar image_file: The name of the local image file to load. Required.
-        :vartype image_file: str
-        :ivar image_format: The MIME type format of the image. For example: "jpeg", "png". Required.
-        :vartype image_format: str
-        :ivar detail: The evaluation quality setting to use, which controls relative prioritization of
+        :keyword image_file: The name of the local image file to load. Required.
+        :paramtype image_file: str
+        :keyword image_format: The MIME type format of the image. For example: "jpeg", "png". Required.
+        :paramtype image_format: str
+        :keyword detail: The evaluation quality setting to use, which controls relative prioritization of
          speed, token consumption, and accuracy. Known values are: "auto", "low", and "high".
-        :vartype detail: str or ~azure.ai.inference.models.ImageDetailLevel
+        :paramtype detail: str or ~azure.ai.inference.models.ImageDetailLevel
         :return: An ImageUrl object with the image data encoded as a base64 string.
         :rtype: ~azure.ai.inference.models.ImageUrl
         :raises FileNotFoundError: when the image file could not be opened.
@@ -293,13 +293,13 @@ def load(cls, *, image_file: str, image_format: str, text: Optional[str] = None)
         file and encodes it as a base64 string, which together with the image format
         is then used to format the JSON `url` value passed in the request payload.
 
-        :ivar image_file: The name of the local image file to load. Required.
-        :vartype image_file: str
-        :ivar image_format: The MIME type format of the image. For example: "jpeg", "png". Required.
-        :vartype image_format: str
-        :ivar text: Optional. The text input to feed into the model (like DINO, CLIP).
+        :keyword image_file: The name of the local image file to load. Required.
+        :paramtype image_file: str
+        :keyword image_format: The MIME type format of the image. For example: "jpeg", "png". Required.
+        :paramtype image_format: str
+        :keyword text: Optional. The text input to feed into the model (like DINO, CLIP).
          Returns a 422 error if the model doesn't support the value or parameter.
-        :vartype text: str
+        :paramtype text: str
         :return: An ImageEmbeddingInput object with the image data encoded as a base64 string.
         :rtype: ~azure.ai.inference.models.EmbeddingsInput
         :raises FileNotFoundError: when the image file could not be opened.