Commit ec4943f9

@@ -34,7 +34,7 @@ organization = os.environ.get("OPENAI_ORGANIZATION")
 api_base = os.environ.get("OPENAI_API_BASE", "https://api.openai.com/v1")
 api_type = os.environ.get("OPENAI_API_TYPE", "open_ai")
 api_version = (
-    "2022-03-01-preview" if api_type in ("azure", "azure_ad", "azuread") else None
+    "2022-12-01" if api_type in ("azure", "azure_ad", "azuread") else None
 )
 verify_ssl_certs = True  # No effect. Certificates are always verified.
 proxy = None

@@ -58,7 +58,7 @@ All endpoints have a `.create` method that support a `request_timeout` param.  T
 
 ### Microsoft Azure Endpoints
 
-In order to use the library with Microsoft Azure endpoints, you need to set the api_type, api_base and api_version in addition to the api_key. The api_type must be set to 'azure' and the others correspond to the properties of your endpoint.
+In order to use the library with Microsoft Azure endpoints, you need to set the `api_type`, `api_base` and `api_version` in addition to the `api_key`. The `api_type` must be set to 'azure' and the others correspond to the properties of your endpoint.
 In addition, the deployment name must be passed as the engine parameter.
 
 ```python
@@ -66,29 +66,24 @@ import openai
 openai.api_type = "azure"
 openai.api_key = "..."
 openai.api_base = "https://example-endpoint.openai.azure.com"
-openai.api_version = "2021-11-01-preview"
+openai.api_version = "2022-12-01"
 
 # create a completion
 completion = openai.Completion.create(engine="deployment-name", prompt="Hello world")
 
 # print the completion
 print(completion.choices[0].text)
-
-# create a search and pass the deployment-name as the engine Id.
-search = openai.Engine(id="deployment-name").search(documents=["White House", "hospital", "school"], query ="the president")
-
-# print the search
-print(search)
 ```
 
-Please note that for the moment, the Microsoft Azure endpoints can only be used for completion, search and fine-tuning operations.
+Please note that for the moment, the Microsoft Azure endpoints can only be used for completion, embedding, and fine-tuning operations.
 For a detailed example on how to use fine-tuning and other operations using Azure endpoints, please check out the following Jupyter notebooks:
+* [Using Azure completions](https://github.com/openai/openai-cookbook/tree/main/examples/azure/completions.ipynb)
 * [Using Azure fine-tuning](https://github.com/openai/openai-cookbook/tree/main/examples/azure/finetuning.ipynb)
 * [Using Azure embeddings](https://github.com/openai/openai-cookbook/blob/main/examples/azure/embeddings.ipynb)
 
 ### Microsoft Azure Active Directory Authentication
 
-In order to use Microsoft Active Directory to authenticate to your Azure endpoint, you need to set the api_type to "azure_ad" and pass the acquired credential token to api_key. The rest of the parameters need to be set as specified in the previous section.
+In order to use Microsoft Active Directory to authenticate to your Azure endpoint, you need to set the `api_type` to "azure_ad" and pass the acquired credential token to `api_key`. The rest of the parameters need to be set as specified in the previous section.
 
 
 ```python
@@ -97,13 +92,13 @@ import openai
 
 # Request credential
 default_credential = DefaultAzureCredential()
-token = default_credential.get_token("https://cognitiveservices.azure.com")
+token = default_credential.get_token("https://cognitiveservices.azure.com/.default")
 
 # Setup parameters
 openai.api_type = "azure_ad"
 openai.api_key = token.token
 openai.api_base = "https://example-endpoint.openai.azure.com/"
-openai.api_version = "2022-03-01-preview"
+openai.api_version = "2022-12-01"
 
 # ...
 ```