Merge pull request #270683 from MicrosoftDocs/main

3/29/2024 PM Publish

Author: Albertyang0

.openpublishing.redirection.operator-5g-core.json

@@ -44,6 +44,11 @@
             "source_path_from_root": "/articles/operator-5g-core/quickstart-deploy-network-functions.md",
             "redirect_url": "/azure/operator-5g-core/how-to-deploy-network-functions",
             "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/operator-5g-core/quickstart-perform-checks-post-deployment.md",
+            "redirect_url": "/azure/operator-5g-core/quickstart-configure-extension-for-status-monitoring",
+            "redirect_document_id": false
         }
    ]
 }

.replaycheck/articles/storage/blobs/assign-azure-role-data-access.yml

@@ -0,0 +1,56 @@
+# %version 1
+contentPath: articles\storage\blobs\assign-azure-role-data-access.md
+
+steps:
+- task: SetPlaceholder@1
+  textToReplace: <email>
+  replacementText: 
+  uid: cb105ef6
+- task: SetPlaceholder@1
+  textToReplace: <subscription-id>
+  replacementText: 
+  uid: e3ce9356
+- task: SetPlaceholder@1
+  textToReplace: ab12cd34-ef56-ab12-cd34-ef56ab12cd34
+  replacementText: 
+  uid: 2de8753c
+- task: SetPlaceholder@1
+  textToReplace: <resource-group-name>
+  replacementText: myResourceGroup
+  uid: 542306be
+- task: SetPlaceholder@1
+  textToReplace: <storage-account-name>
+  replacementText: 
+  uid: "57011072"
+- task: SetPlaceholder@1
+  textToReplace: <container-name>
+  replacementText: 
+  uid: c0f2f9d5
+- task: RunCommand@1
+  environment:
+    type: azure-cloud-shell-pwsh
+  outputValidationRules:
+  - operator: contains
+    value: 'RoleDefinitionName : Storage Blob Data Contributor'
+  uid: fee1778
+- task: RunCommand@1
+  environment:
+    type: azure-cloud-shell-pwsh
+  outputValidationRules:
+  - operator: contains
+    value: 'RoleDefinitionName : Storage Blob Data Reader'
+  uid: 3361d580
+- task: RunCommand@1
+  environment:
+    type: az-cli
+  outputValidationRules:
+  - operator: contains
+    value: '"roleDefinitionName": "Storage Blob Data Contributor"'
+  uid: 60f1639b
+- task: RunCommand@1
+  environment:
+    type: az-cli
+  outputValidationRules:
+  - operator: contains
+    value: '"roleDefinitionName": "Storage Blob Data Reader"'
+  uid: 8cdad632

articles/advisor/advisor-release-notes.md

@@ -4,10 +4,19 @@ description: A description of what's new and changed in Azure Advisor
 ms.topic: reference
 ms.date: 11/02/2023
 ---
+
 # What's new in Azure Advisor?
 
 Learn what's new in the service. These items might be release notes, videos, blog posts, and other types of information. Bookmark this page to stay up to date with the service.
 
+## March 2024
+
+### Well-Architected Framework (WAF) assessments & recommendations
+
+The Well-Architected Framework (WAF) assessment provides a curated view of a workload’s architecture. Now you can take the WAF assessment and manage recommendations on Azure Advisor to improve resiliency, security, cost, operational excellence, and performance efficiency. As a part of this release, we're announcing two key WAF assessments - [Mission Critical | Well-Architected Review](/assessments/23513bdb-e8a2-4f0b-8b6b-191ee1f52d34/) and [Azure Well-Architected Review](/assessments/azure-architecture-review/).
+
+To get started, visit [Use Azure WAF assessments](/azure/advisor/advisor-assessments).
+
 ## November 2023
 
 ### ZRS recommendations for Azure Disks

articles/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api.md

@@ -57,9 +57,12 @@ Choose from the following Document Intelligence models and analyze and extract d
 > - The [prebuilt-receipt](../concept-receipt.md) model extracts key information from printed and handwritten sales receipts.
 >
 > - The [prebuilt-idDocument](../concept-id-document.md) model extracts key information from US drivers licenses, international passport biographical pages, US state IDs, social security cards, and permanent resident cards.
+::: moniker-end
 
+::: moniker range="doc-intel-3.1.0 || doc-intel-3.0.0"
+> [!div class="checklist"]
+>
 > - The [prebuilt-businessCard](../concept-business-card.md) model extracts key information and contact details from business card images.
-
 ::: moniker-end
 
 ::: zone pivot="programming-language-csharp"

articles/ai-services/openai/api-version-deprecation.md

@@ -14,7 +14,7 @@ ms.custom:
 
 # Azure OpenAI API preview lifecycle
 
-This article is to help you understand the support lifecycle for the Azure OpenAI API previews. New preview APIs target a monthly release cadence. Post April 2, 2024, the latest three preview APIs will remain supported while older APIs will no longer be supported.
+This article is to help you understand the support lifecycle for the Azure OpenAI API previews. New preview APIs target a monthly release cadence. After July 1, 2024, the latest three preview APIs will remain supported while older APIs will no longer be supported unless support is explictly indicated.
 
 > [!NOTE]
 > The `2023-06-01-preview` API will remain supported at this time, as `DALL-E 2` is only available in this API version. `DALL-E 3` is supported in the latest API releases. The `2023-10-01-preview` API will also remain supported at this time.

articles/ai-services/openai/concepts/content-filter.md

@@ -640,7 +640,7 @@ main().catch((err) => {
 $openai = @{
     api_key     = $Env:AZURE_OPENAI_API_KEY
     api_base    = $Env:AZURE_OPENAI_ENDPOINT # your endpoint should look like the following https://YOUR_RESOURCE_NAME.openai.azure.com/
-    api_version = '2023-10-01-preview' # this may change in the future
+    api_version = '2024-03-01-preview' # this may change in the future
     name        = 'YOUR-DEPLOYMENT-NAME-HERE' #This will correspond to the custom name you chose for your deployment when you deployed a model.
 }
 

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

@@ -23,7 +23,7 @@ To obtain an embedding vector for a piece of text, we make a request to the embe
 
 # [console](#tab/console)
 ```console
-curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2023-05-15\
+curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings?api-version=2024-02-01\
   -H 'Content-Type: application/json' \
   -H 'api-key: YOUR_API_KEY' \
   -d '{"input": "Sample Document goes here"}'
@@ -37,7 +37,7 @@ from openai import AzureOpenAI
 
 client = AzureOpenAI(
   api_key = os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version = "2023-05-15",
+  api_version = "2024-02-01",
   azure_endpoint =os.getenv("AZURE_OPENAI_ENDPOINT") 
 )
 
@@ -59,7 +59,7 @@ import openai
 openai.api_type = "azure"
 openai.api_key = YOUR_API_KEY
 openai.api_base = "https://YOUR_RESOURCE_NAME.openai.azure.com"
-openai.api_version = "2023-05-15"
+openai.api_version = "2024-02-01"
 
 response = openai.Embedding.create(
     input="Your text string goes here",
@@ -101,7 +101,7 @@ foreach (float item in returnValue.Value.Data[0].Embedding.ToArray())
 $openai = @{
     api_key     = $Env:AZURE_OPENAI_API_KEY
     api_base    = $Env:AZURE_OPENAI_ENDPOINT # your endpoint should look like the following https://YOUR_RESOURCE_NAME.openai.azure.com/
-    api_version = '2023-05-15' # this may change in the future
+    api_version = '2024-02-01' # this may change in the future
     name        = 'YOUR-DEPLOYMENT-NAME-HERE' #This will correspond to the custom name you chose for your deployment when you deployed a model.
 }
 

articles/ai-services/openai/how-to/function-calling.md

@@ -31,11 +31,13 @@ Parallel function calls are supported with:
 ### Supported models
 
 * `gpt-35-turbo` (1106)
-* `gpt-4` (1106-preview)
+* `gpt-35-turbo` (0125)
+* `gpt-4` (1106-Preview)
+* `gpt-4` (0125-Preview)
 
-### Supported API versions
+### API support
 
-* [`2023-12-01-preview`](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-12-01-preview/inference.json)
+Support for parallel function was first added in API version [`2023-12-01-preview`](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-12-01-preview/inference.json)
 
 Parallel function calls allow you to perform multiple function calls together, allowing for parallel execution and retrieval of results. This reduces the number of calls to the API that need to be made and can improve overall performance.
 
@@ -58,7 +60,7 @@ import json
 client = AzureOpenAI(
   azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
   api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version="2023-12-01-preview"
+  api_version="2024-03-01-preview"
 )
 
 

articles/ai-services/openai/how-to/json-mode.md

@@ -23,12 +23,14 @@ JSON mode is only currently supported with the following models:
 
 ### Supported models
 
-- `gpt-4-1106-preview` ([region availability](../concepts/models.md#gpt-4-and-gpt-4-turbo-preview-model-availability))
-- `gpt-35-turbo-1106` ([region availability)](../concepts/models.md#gpt-35-turbo-model-availability))
+* `gpt-35-turbo` (1106)
+* `gpt-35-turbo` (0125)
+* `gpt-4` (1106-Preview)
+* `gpt-4` (0125-Preview)
 
-### API version
+### API support
 
-- `2023-12-01-preview`
+Support for JSON mode was first added in API version [`2023-12-01-preview`](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-12-01-preview/inference.json)
 
 ## Example
 
@@ -41,11 +43,11 @@ from openai import AzureOpenAI
 client = AzureOpenAI(
   azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
   api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version="2023-12-01-preview"
+  api_version="2024-03-01-preview"
 )
 
 response = client.chat.completions.create(
-  model="gpt-4-1106-preview", # Model = should match the deployment name you chose for your 1106-preview model deployment
+  model="gpt-4-0125-Preview", # Model = should match the deployment name you chose for your 0125-Preview model deployment
   response_format={ "type": "json_object" },
   messages=[
     {"role": "system", "content": "You are a helpful assistant designed to output JSON."},
@@ -74,7 +76,7 @@ because they plan to use the output for further scripting.
 $openai = @{
    api_key     = $Env:AZURE_OPENAI_API_KEY
    api_base    = $Env:AZURE_OPENAI_ENDPOINT # like the following https://YOUR_RESOURCE_NAME.openai.azure.com/
-   api_version = '2023-12-01-preview' # may change in the future
+   api_version = '2024-03-01-preview' # may change in the future
    name        = 'YOUR-DEPLOYMENT-NAME-HERE' # name you chose for your deployment
 }
 

articles/ai-services/openai/how-to/migration.md

@@ -70,7 +70,7 @@ from openai import AzureOpenAI
 client = AzureOpenAI(
   azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
   api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version="2023-05-15"
+  api_version="2024-02-01"
 )
 
 response = client.chat.completions.create(
@@ -98,7 +98,7 @@ import openai
 openai.api_type = "azure"
 openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT") 
 openai.api_key = os.getenv("AZURE_OPENAI_API_KEY")
-openai.api_version = "2023-05-15"
+openai.api_version = "2024-02-01"
 
 response = openai.ChatCompletion.create(
     engine="gpt-35-turbo", # engine = "deployment_name".
@@ -126,7 +126,7 @@ from openai import AzureOpenAI
 
 client = AzureOpenAI(
     api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
-    api_version="2023-12-01-preview",
+    api_version="2024-02-01",
     azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
 )
 
@@ -148,7 +148,7 @@ import openai
 openai.api_key = os.getenv("AZURE_OPENAI_API_KEY")
 openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT") # your endpoint should look like the following https://YOUR_RESOURCE_NAME.openai.azure.com/
 openai.api_type = 'azure'
-openai.api_version = '2023-05-15' # this might change in the future
+openai.api_version = '2024-02-01' # this might change in the future
 
 deployment_name='REPLACE_WITH_YOUR_DEPLOYMENT_NAME' #This will correspond to the custom name you chose for your deployment when you deployed a model. 
 
@@ -172,7 +172,7 @@ from openai import AzureOpenAI
 
 client = AzureOpenAI(
   api_key = os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version = "2023-05-15",
+  api_version = "2024-02-01",
   azure_endpoint =os.getenv("AZURE_OPENAI_ENDPOINT") 
 )
 
@@ -194,7 +194,7 @@ import openai
 openai.api_type = "azure"
 openai.api_key = YOUR_API_KEY
 openai.api_base = "https://YOUR_RESOURCE_NAME.openai.azure.com"
-openai.api_version = "2023-05-15"
+openai.api_version = "2024-02-01"
 
 response = openai.Embedding.create(
     input="Your text string goes here",
@@ -218,7 +218,7 @@ from openai import AsyncAzureOpenAI
 async def main():
     client = AsyncAzureOpenAI(  
       api_key = os.getenv("AZURE_OPENAI_API_KEY"),  
-      api_version = "2023-12-01-preview",
+      api_version = "2024-02-01",
       azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
     )
     response = await client.chat.completions.create(model="gpt-35-turbo", messages=[{"role": "user", "content": "Hello world"}])
@@ -236,7 +236,7 @@ from openai import AzureOpenAI
 
 token_provider = get_bearer_token_provider(DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default")
 
-api_version = "2023-12-01-preview"
+api_version = "2024-02-01"
 endpoint = "https://my-resource.openai.azure.com"
 
 client = AzureOpenAI(