Merge pull request #2522 from dargilco/dargilco/fix-typo-default-azure-credentials

Fix typo `AzureDefaultCredential`

Author: prmerger-automator[bot]

articles/ai-foundry/model-inference/includes/code-create-chat-client-entra.md

@@ -23,11 +23,11 @@ Then, you can use the package to consume the model. The following example shows
 ```python
 import os
 from azure.ai.inference import ChatCompletionsClient
-from azure.identity import AzureDefaultCredential
+from azure.identity import DefaultAzureCredential
 
 model = ChatCompletionsClient(
     endpoint="https://<resource>.services.ai.azure.com/models",
-    credential=AzureDefaultCredential(),
+    credential=DefaultAzureCredential(),
     model="mistral-large-2407",
 )
 ```
@@ -45,11 +45,11 @@ Then, you can use the package to consume the model. The following example shows
 ```javascript
 import ModelClient from "@azure-rest/ai-inference";
 import { isUnexpected } from "@azure-rest/ai-inference";
-import { AzureDefaultCredential } from "@azure/identity";
+import { DefaultAzureCredential } from "@azure/identity";
 
 const client = new ModelClient(
     "https://<resource>.services.ai.azure.com/models", 
-    new AzureDefaultCredential(),
+    new DefaultAzureCredential(),
     "mistral-large-2407"
 );
 ```
@@ -81,7 +81,7 @@ Then, you can use the package to consume the model. The following example shows
 ```csharp
 ChatCompletionsClient client = new ChatCompletionsClient(
     new Uri("https://<resource>.services.ai.azure.com/models"),
-    new AzureDefaultCredential(includeInteractiveCredentials: true),
+    new DefaultAzureCredential(includeInteractiveCredentials: true),
     "mistral-large-2407"
 );
 ```

articles/ai-foundry/model-inference/includes/code-create-embeddings-client.md

@@ -36,11 +36,11 @@ If you are using an endpoint with support for Entra ID, you can create your clie
 ```python
 import os
 from azure.ai.inference import EmbeddingsClient
-from azure.identity import AzureDefaultCredential
+from azure.identity import DefaultAzureCredential
 
 client = EmbeddingsClient(
     endpoint="https://<resource>.services.ai.azure.com/models",
-    credential=AzureDefaultCredential(),
+    credential=DefaultAzureCredential(),
 )
 ```
 
@@ -72,11 +72,11 @@ For endpoint with support for Microsoft Entra ID, you can create your client as
 ```javascript
 import ModelClient from "@azure-rest/ai-inference";
 import { isUnexpected } from "@azure-rest/ai-inference";
-import { AzureDefaultCredential } from "@azure/identity";
+import { DefaultAzureCredential } from "@azure/identity";
 
 const client = new ModelClient(
     "https://<resource>.services.ai.azure.com/models", 
-    new AzureDefaultCredential()
+    new DefaultAzureCredential()
 );
 ```
 

articles/ai-studio/reference/reference-model-inference-api.md

@@ -115,11 +115,11 @@ If you are using an endpoint with support for Entra ID, you can create your clie
 ```python
 import os
 from azure.ai.inference import ChatCompletionsClient
-from azure.identity import AzureDefaultCredential
+from azure.identity import DefaultAzureCredential
 
 model = ChatCompletionsClient(
     endpoint=os.environ["AZUREAI_ENDPOINT_URL"],
-    credential=AzureDefaultCredential(),
+    credential=DefaultAzureCredential(),
 )
 ```
 
@@ -151,11 +151,11 @@ For endpoint with support for Microsoft Entra ID, you can create your client as
 ```javascript
 import ModelClient from "@azure-rest/ai-inference";
 import { isUnexpected } from "@azure-rest/ai-inference";
-import { AzureDefaultCredential } from "@azure/identity";
+import { DefaultAzureCredential } from "@azure/identity";
 
 const client = new ModelClient(
     process.env.AZUREAI_ENDPOINT_URL, 
-    new AzureDefaultCredential()
+    new DefaultAzureCredential()
 );
 ```
 

articles/machine-learning/reference-model-inference-api.md

@@ -108,11 +108,11 @@ If you are using an endpoint with support for Entra ID, you can create your clie
 ```python
 import os
 from azure.ai.inference import ChatCompletionsClient
-from azure.identity import AzureDefaultCredential
+from azure.identity import DefaultAzureCredential
 
 client = ChatCompletionsClient(
     endpoint=os.environ["AZUREAI_ENDPOINT_URL"],
-    credential=AzureDefaultCredential(),
+    credential=DefaultAzureCredential(),
 )
 ```
 
@@ -144,11 +144,11 @@ For endpoint with support for Microsoft Entra ID, you can create your client as
 ```javascript
 import ModelClient from "@azure-rest/ai-inference";
 import { isUnexpected } from "@azure-rest/ai-inference";
-import { AzureDefaultCredential } from "@azure/identity";
+import { DefaultAzureCredential } from "@azure/identity";
 
 const client = new ModelClient(
     process.env.AZUREAI_ENDPOINT_URL, 
-    new AzureDefaultCredential()
+    new DefaultAzureCredential()
 );
 ```