Merge pull request #221415 from mrbullwinkle/mrb_12_13_2022_api_update

[Cognitive Services] [Azure OpenAI] Update api version

Author: prmerger-automator[bot]

articles/cognitive-services/openai/how-to/embeddings.md

@@ -23,7 +23,7 @@ An embedding is a special format of data representation that can be easily utili
 To obtain an embedding vector for a piece of text, we make a request to the embeddings endpoint as shown in the following code snippets:
 
 ```console
-curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2022-06-01-preview\
+curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2022-12-01\
   -H 'Content-Type: application/json' \
   -H 'api-key: YOUR_API_KEY' \
   -d '{"input": "Sample Document goes here"}'

articles/cognitive-services/openai/how-to/managed-identity.md

@@ -65,7 +65,7 @@ Assigning yourself to the Cognitive Services User role will allow you to use you
 Use the access token to authorize your API call by setting the `Authorization` header value.
 
     ```bash
-    curl ${endpoint%/}/openai/deployment/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-06-01-preview \
+    curl ${endpoint%/}/openai/deployment/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-12-01 \
     -H "Content-Type: application/json" \
     -H "Authorization: Bearer $accessToken" \
     -d '{ "prompt": "Once upon a time" }'

articles/cognitive-services/openai/how-to/prepare-dataset.md

@@ -64,7 +64,7 @@ For this use case we fine-tuned an ada model since it will be faster and cheaper
 Now we can query our model by making a Completion request.
 
 ```console
-curl https://YOUR_RESOURCE_NAME.openaiazure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-06-01-preview\ \
+curl https://YOUR_RESOURCE_NAME.openaiazure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-12-01\ \
   -H 'Content-Type: application/json' \
   -H 'api-key: YOUR_API_KEY' \
   -d '{
@@ -89,7 +89,7 @@ Once the model is fine-tuned, you can get back the log probabilities for the fir
 Now we can query our model by making a Completion request.
 
 ```console
-curl https://YOUR_RESOURCE_NAME.openaiazure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-06-01-preview\ \
+curl https://YOUR_RESOURCE_NAME.openaiazure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-12-01\ \
   -H 'Content-Type: application/json' \
   -H 'api-key: YOUR_API_KEY' \
   -d '{

articles/cognitive-services/openai/reference.md

@@ -37,13 +37,13 @@ The Azure OpenAI service provides two methods for authentication. you can use  e
 
 ### REST API versioning
 
-The service APIs are versioned using the ```api-version``` query parameter. All versions follow the YYYY-MM-DD date structure, with a -preview suffix for a preview service. For example:
+The service APIs are versioned using the ```api-version``` query parameter. All versions follow the YYYY-MM-DD date structure. For example:
 
 ```http
-POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-06-01-preview
+POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-12-01
 ```
 
-We currently have the following versions available: ```2022-06-01-preview```
+We currently have the following versions available: ```2022-12-01```
 
 ## Completions
 With the Completions operation, the model will generate one or more predicted completions based on a provided prompt. The service can also return the probabilities of alternative tokens at each position.
@@ -60,11 +60,11 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 |--|--|--|--|
 | ```your-resource-name``` | string |  Required | The name of your Azure OpenAI Resource. |
 | ```deployment-id``` | string | Required | The name of your model deployment. You're required to first deploy a model before you can make calls |
-| ```api-version``` | string | Required |The API version to use for this operation. This follows the YYYY-MM-DD-preview format.  |
+| ```api-version``` | string | Required |The API version to use for this operation. This follows the YYYY-MM-DD format.  |
 
 **Supported versions**
 
-- `2022-06-01-preview`
+- `2022-12-01`
 
 **Request body**
 
@@ -87,7 +87,7 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 #### Example request
 
 ```console
-curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-06-01-preview\
+curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/completions?api-version=2022-12-01\
   -H "Content-Type: application/json" \
   -H "api-key: YOUR_API_KEY" \
   -d "{
@@ -130,11 +130,11 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 |--|--|--|--|
 | ```your-resource-name``` | string |  Required | The name of your Azure OpenAI Resource. |
 | ```deployment-id``` | string | Required | The name of your model deployment. You're required to first deploy a model before you can make calls |
-| ```api-version``` | string | Required |The API version to use for this operation. This follows the YYYY-MM-DD-preview format.  |
+| ```api-version``` | string | Required |The API version to use for this operation. This follows the YYYY-MM-DD format.  |
 
 **Supported versions**
 
-- `2022-06-01-preview`
+- `2022-12-01`
 
 **Request body**
 
@@ -146,7 +146,7 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 #### Example request
 
 ```console
-curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2022-06-01-preview\
+curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2022-12-01\
   -H "Content-Type: application/json" \
   -H "api-key: YOUR_API_KEY" \
   -d "{\"input\": \"The food was delicious and the waiter...\"}"