Merge pull request #5849 from MicrosoftDocs/main

learn-build-service-prod[bot] · web-flow · commit c204bc5d2a58 · 2025-07-02T22:13:54.000Z
Merged by Learn.Build PR Management system
diff --git a/articles/ai-foundry/agents/how-to/tools/file-search-upload-files.md b/articles/ai-foundry/agents/how-to/tools/file-search-upload-files.md
@@ -6,7 +6,7 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-agent-service
 ms.topic: how-to
-ms.date: 05/28/2025
+ms.date: 07/02/2025
 author: aahill
 ms.author: aahi
 zone_pivot_groups: selection-bing-grounding-code
@@ -78,7 +78,7 @@ file = project_client.agents.files.upload_and_poll(file_path=file_path, purpose=
 print(f"Uploaded file, file ID: {file.id}")
 
 # Create a vector store with the uploaded file
-vector_store = project_client.agents.create_vector_store_and_poll(file_ids=[file.id], name="my_vectorstore")
+vector_store = project_client.agents.vector_stores.create_and_poll(file_ids=[file.id], name="my_vectorstore")
 print(f"Created vector store, vector store ID: {vector_store.id}")
 ```
 
@@ -134,7 +134,7 @@ if run.status == "failed":
     print(f"Run failed: {run.last_error}")
 
 # Cleanup resources
-project_client.agents.delete_vector_store(vector_store.id)
+project_client.agents.vector_stores.delete(vector_store.id)
 print("Deleted vector store")
 
 project_client.agents.delete_file(file_id=file.id)
@@ -145,8 +145,16 @@ print("Deleted agent")
 
 # Fetch and log all messages from the thread
 messages = project_client.agents.messages.list(thread_id=thread.id)
-for message in messages.data:
-    print(f"Role: {message.role}, Content: {message.content}")
+file_name = os.path.split(file_path)[-1]
+for msg in messages:
+    if msg.text_messages:
+        last_text = msg.text_messages[-1].text.value
+        for annotation in msg.text_messages[-1].text.annotations:
+            citation = (
+                file_name if annotation.file_citation.file_id == file.id else annotation.file_citation.file_id
+            )
+            last_text = last_text.replace(annotation.text, f" [{citation}]")
+        print(f"{msg.role}: {last_text}")
 ```
 :::zone-end
 
diff --git a/articles/ai-foundry/agents/how-to/virtual-networks.md b/articles/ai-foundry/agents/how-to/virtual-networks.md
@@ -33,7 +33,7 @@ For customers without an existing virtual network, the Standard Setup with Priva
 :::image type="content" source="../media\private-network-isolation.png" alt-text="A diagram showing virtual network architecture.":::
 ### Known limitations
 
-- Subnet IP address limitation: only class B and C are supported
+- Subnet IP address limitation: both subnets must have IP ranges under `172.16.0.0/12` or `192.168.0.0/16`, i.e. class B or C address ranges reserved for private networking.
 - Azure Blob Storage: Using Azure Blob Storage files with the File Search tool isn't supported.
 
 ## Prerequisites
diff --git a/articles/ai-foundry/openai/authoring-reference-preview.md b/articles/ai-foundry/openai/authoring-reference-preview.md
@@ -5,7 +5,7 @@ description: Learn how to use Azure OpenAI's latest authoring preview REST API.
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 03/25/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/chatgpt-quickstart.md b/articles/ai-foundry/openai/chatgpt-quickstart.md
@@ -8,7 +8,7 @@ ms.custom: build-2023, build-2023-dataai, devx-track-python, devx-track-dotnet,
 ms.topic: quickstart
 author: mrbullwinkle
 ms.author: mbullwin
-ms.date: 3/21/2025
+ms.date: 07/02/2025
 zone_pivot_groups: openai-quickstart-new
 recommendations: false
 ---
diff --git a/articles/ai-foundry/openai/concepts/abuse-monitoring.md b/articles/ai-foundry/openai/concepts/abuse-monitoring.md
@@ -6,7 +6,7 @@ author: mrbullwinkle
 ms.author: mbullwin
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 ms.custom: template-concept, ignite-2024
 manager: nitinme
 ---
diff --git a/articles/ai-foundry/openai/concepts/advanced-prompt-engineering.md b/articles/ai-foundry/openai/concepts/advanced-prompt-engineering.md
@@ -6,7 +6,7 @@ author: mrbullwinkle
 ms.author: mbullwin 
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 manager: nitinme
 keywords: ChatGPT, GPT-4, meta prompts, chain of thought
 ---
diff --git a/articles/ai-foundry/openai/concepts/customizing-llms.md b/articles/ai-foundry/openai/concepts/customizing-llms.md
@@ -3,7 +3,7 @@ title: Azure OpenAI in Azure AI Foundry Models getting started with customizing
 titleSuffix: Azure OpenAI
 description: Learn more about the concepts behind customizing an LLM with Azure OpenAI.
 ms.topic: conceptual
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 ms.service: azure-ai-openai
 manager: nitinme
 author: mrbullwinkle
diff --git a/articles/ai-foundry/openai/concepts/fine-tuning-considerations.md b/articles/ai-foundry/openai/concepts/fine-tuning-considerations.md
@@ -4,7 +4,7 @@ description: Learn more about what you should take into consideration before fin
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/concepts/prompt-engineering.md b/articles/ai-foundry/openai/concepts/prompt-engineering.md
diff --git a/articles/ai-foundry/openai/concepts/red-teaming.md b/articles/ai-foundry/openai/concepts/red-teaming.md
@@ -5,7 +5,7 @@ description: Learn about how red teaming and adversarial testing are an essentia
 author: mrbullwinkle
 ms.author: mbullwin
 manager: nitinme
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 ms.service: azure-ai-openai
 ms.topic: conceptual
 ms.custom:
diff --git a/articles/ai-foundry/openai/concepts/system-message.md b/articles/ai-foundry/openai/concepts/system-message.md
@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI in Azure AI Foundry Models
 description: Learn about how to construct system messages also know as metaprompts to guide an AI system's behavior.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 ms.custom:
   - ignite-2023
 manager: nitinme
diff --git a/articles/ai-foundry/openai/concepts/understand-embeddings.md b/articles/ai-foundry/openai/concepts/understand-embeddings.md
@@ -5,7 +5,7 @@ description: Learn more about how the Azure OpenAI embeddings API uses cosine si
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: tutorial
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/faq.yml b/articles/ai-foundry/openai/faq.yml
@@ -6,7 +6,7 @@ metadata:
   manager: nitinme
   ms.service: azure-ai-openai
   ms.topic: faq
-  ms.date: 03/27/2025
+  ms.date: 07/02/2025
   ms.author: mbullwin
   author: mrbullwinkle
 title: Azure OpenAI frequently asked questions
@@ -76,7 +76,7 @@ sections:
 
           If you wanted to help a GPT based model to accurately respond to the question "what model are you running?", you would need to provide that information to the model through techniques like [prompt engineering of the model's system message](/azure/ai-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions), [Retrieval Augmented Generation (RAG)](/azure/machine-learning/concept-retrieval-augmented-generation?view=azureml-api-2) which is the technique used by [Azure OpenAI on your data](/azure/ai-services/openai/concepts/use-your-data) where up-to-date information is injected to the system message at query time, or via [fine-tuning](/azure/ai-services/openai/how-to/fine-tuning?pivots=programming-language-studio) where you could fine-tune specific versions of the model to answer that question in a certain way based on model version. 
 
-          To learn more about how GPT models are trained and work we recommend watching [Andrej Karpathy's talk from Build 2023 on the state of GPT](https://www.youtube.com/watch?v=bZQun8Y4L2A).
+          To learn more about how GPT models are trained and work we recommend watching [Andrej Apathy's talk from Build 2023 on the state of GPT](https://www.youtube.com/watch?v=bZQun8Y4L2A).
       
       - question: |
           How can I get the model to respond in a specific language?
@@ -112,7 +112,7 @@ sections:
       - question: |
           How do I fix Server error (500): Unexpected special token
         answer: |
-          This is a a known issue. You can minimize the occurrence of these errors by reducing the temperature of your prompts to less than 1 and ensuring you're using a client with retry logic. Reattempting the request often results in a successful response. 
+          This is a known issue. You can minimize the occurrence of these errors by reducing the temperature of your prompts to less than 1 and ensuring you're using a client with retry logic. Reattempting the request often results in a successful response. 
           
           If reducing temperature to less than 1 does not reduce the frequency of this error an alternative workaround is set presence/frequency penalties and logit biases to their default values. In some cases, it may help to set `top_p` to a non-default, lower value to encourage the model to avoid sampling tokens with lower probability tokens.  
           
@@ -269,7 +269,7 @@ sections:
         answer: |
           No. Currently Assistants supports only local files uploaded to the Assistants-managed storage. You cannot use your private storage account with Assistants. 
       - question: | 
-          Does Assistants support customer-managed key encryption (CMK)?
+          Does the Assistants feature support customer-managed key encryption (CMK)?
         answer: |
           Today we support CMK for Threads and Files in Assistants. See the [What's new page](./whats-new.md#customer-managed-key-cmk-support-for-assistants) for available regions for this feature.
       - question: |
diff --git a/articles/ai-foundry/openai/how-to/business-continuity-disaster-recovery.md b/articles/ai-foundry/openai/how-to/business-continuity-disaster-recovery.md
@@ -5,7 +5,7 @@ description: Considerations for implementing Business Continuity and Disaster Re
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 author: mrbullwinkle    
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/how-to/chat-markup-language.md b/articles/ai-foundry/openai/how-to/chat-markup-language.md
@@ -6,7 +6,7 @@ author: mrbullwinkle #dereklegenzoff
 ms.author: mbullwin #delegenz
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 manager: nitinme
 keywords: ChatGPT
 ---
diff --git a/articles/ai-foundry/openai/how-to/chatgpt.md b/articles/ai-foundry/openai/how-to/chatgpt.md
@@ -7,7 +7,7 @@ ms.author: mbullwin #delegenz
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 manager: nitinme
 keywords: ChatGPT
 ---
diff --git a/articles/ai-foundry/openai/how-to/completions.md b/articles/ai-foundry/openai/how-to/completions.md
@@ -5,7 +5,7 @@ description: Learn how to generate or manipulate text, including code by using t
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/how-to/dotnet-migration.md b/articles/ai-foundry/openai/how-to/dotnet-migration.md
@@ -7,7 +7,7 @@ ms.author: mbullwin
 ms.service: azure-ai-openai
 ms.custom: devx-track-dotnet
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 manager: nitinme
 ---
 
diff --git a/articles/ai-foundry/openai/how-to/embeddings.md b/articles/ai-foundry/openai/how-to/embeddings.md
@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: devx-track-python
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/how-to/fine-tuning-deploy.md b/articles/ai-foundry/openai/how-to/fine-tuning-deploy.md
@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python, references_regions
 ms.topic: how-to
-ms.date: 05/30/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---
diff --git a/articles/ai-foundry/openai/how-to/fine-tuning.md b/articles/ai-foundry/openai/how-to/fine-tuning.md
@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python, references_regions
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 zone_pivot_groups: openai-fine-tuning
diff --git a/articles/ai-foundry/openai/how-to/json-mode.md b/articles/ai-foundry/openai/how-to/json-mode.md
@@ -6,7 +6,7 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/how-to/latency.md b/articles/ai-foundry/openai/how-to/latency.md
@@ -5,7 +5,7 @@ description: Learn about performance and latency with Azure OpenAI
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle 
 ms.author: mbullwin
 recommendations: false
diff --git a/articles/ai-foundry/openai/how-to/migration.md b/articles/ai-foundry/openai/how-to/migration.md
@@ -7,7 +7,7 @@ ms.author: mbullwin
 ms.service: azure-ai-openai
 ms.custom: devx-track-python
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 manager: nitinme
 ---
 
diff --git a/articles/ai-foundry/openai/how-to/monitor-openai.md b/articles/ai-foundry/openai/how-to/monitor-openai.md
@@ -1,7 +1,7 @@
 ---
 title: Monitor Azure OpenAI in Azure AI Foundry Models
 description: Start here to learn how to use Azure Monitor tools like Log Analytics to capture and analyze metrics and data logs for your Azure OpenAI.
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 ms.custom: horz-monitor, subject-monitoring
 ms.topic: conceptual
 author: mrbullwinkle
diff --git a/articles/ai-foundry/openai/how-to/reproducible-output.md b/articles/ai-foundry/openai/how-to/reproducible-output.md
@@ -6,7 +6,7 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -233,7 +233,7 @@ The point of light began to expand rapidly, creating space and time as it grew.
 By using the same `seed` parameter of 42 for each of our three requests, while keeping all other parameters the same, we're able to produce much more consistent results.
 
 > [!IMPORTANT]  
-> Determinism is not guaranteed with reproducible output. Even in cases where the seed parameter and `system_fingerprint` are the same across API calls it is currently not uncommon to still observe a degree of variability in responses. Identical API calls with larger `max_tokens` values, will generally result in less deterministic responses even when the seed parameter is set.
+> Determinism isn't guaranteed with reproducible output. Even in cases where the seed parameter and `system_fingerprint` are the same across API calls it's currently not uncommon to still observe a degree of variability in responses. Identical API calls with larger `max_tokens` values, will generally result in less deterministic responses even when the seed parameter is set.
 
 ## Parameter details
 
diff --git a/articles/ai-foundry/openai/how-to/role-based-access-control.md b/articles/ai-foundry/openai/how-to/role-based-access-control.md
@@ -5,7 +5,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 02/24/2025
+ms.date: 07/03/2025
 ms.author: mbullwin
 recommendations: false
 ---
diff --git a/articles/ai-foundry/openai/how-to/switching-endpoints.yml b/articles/ai-foundry/openai/how-to/switching-endpoints.yml
@@ -7,7 +7,7 @@ metadata:
   author: mrbullwinkle
   ms.author: mbullwin
   manager: nitinme
-  ms.date: 03/27/2025
+  ms.date: 07/02/2025
   ms.service: azure-ai-openai
   ms.topic: how-to
   ms.custom:
diff --git a/articles/ai-foundry/openai/how-to/weights-and-biases-integration.md b/articles/ai-foundry/openai/how-to/weights-and-biases-integration.md
@@ -7,7 +7,7 @@ ms.service: azure-ai-openai
 ms.custom:
   - ignite-2024
 ms.topic: how-to
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---
diff --git a/articles/ai-foundry/openai/how-to/work-with-code.md b/articles/ai-foundry/openai/how-to/work-with-code.md
@@ -5,7 +5,7 @@ description: Learn how to use the Codex models on Azure OpenAI to handle a varie
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---
diff --git a/articles/ai-foundry/openai/how-to/working-with-models.md b/articles/ai-foundry/openai/how-to/working-with-models.md
@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about managing model deployment life cycle, updates, & retirement.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 03/31/2025
+ms.date: 07/02/2025
 ms.custom: references_regions, build-2023, build-2023-dataai, devx-track-azurepowershell
 manager: nitinme
 author: mrbullwinkle #ChrisHMSFT
@@ -59,9 +59,9 @@ The corresponding property can also be accessed via [REST](../how-to/working-wit
 
 |Option| Read | Update |
 |---|---|---|
-| [REST](../how-to/working-with-models.md#model-deployment-upgrade-configuration) | Yes. If `versionUpgradeOption` is not returned, it means it is `null` |Yes |
+| [REST](../how-to/working-with-models.md#model-deployment-upgrade-configuration) | Yes. If `versionUpgradeOption` isn't returned, it means it's `null` |Yes |
 | [Azure PowerShell](/powershell/module/az.cognitiveservices/get-azcognitiveservicesaccountdeployment) | Yes.`VersionUpgradeOption` can be checked for `$null`| Yes |
-| [Azure CLI](/cli/azure/cognitiveservices/account/deployment#az-cognitiveservices-account-deployment-show) | Yes. It shows `null` if `versionUpgradeOption` is not set.| *No.* It is currently not possible to update the version upgrade option.|
+| [Azure CLI](/cli/azure/cognitiveservices/account/deployment#az-cognitiveservices-account-deployment-show) | Yes. It shows `null` if `versionUpgradeOption` isn't set.| *No.* It's currently not possible to update the version upgrade option.|
 
 There are three distinct model deployment upgrade options:
 
@@ -72,7 +72,7 @@ There are three distinct model deployment upgrade options:
 |`NoAutoUpgrade` | The model deployment never automatically upgrades. Once the retirement date is reached the model deployment stops working. You need to update your code referencing that deployment to point to a nonexpired model deployment. |
 
 > [!NOTE]
-> `null` is equivalent to `OnceCurrentVersionExpired`. If the **Version update policy** option is not present in the properties for a model that supports model upgrades this indicates the value is currently `null`. Once you explicitly modify this value, the property is visible in the studio properties page as well as via the REST API.
+> `null` is equivalent to `OnceCurrentVersionExpired`. If the **Version update policy** option isn't present in the properties for a model that supports model upgrades this indicates the value is currently `null`. Once you explicitly modify this value, the property is visible in the studio properties page as well as via the REST API.
 
 ### Examples
 
@@ -223,7 +223,7 @@ This is only a subset of the available request body parameters. For the full lis
 |Parameter|Type| Description |
 |--|--|--|
 |versionUpgradeOption | String | Deployment model version upgrade options:<br>`OnceNewDefaultVersionAvailable`<br>`OnceCurrentVersionExpired`<br>`NoAutoUpgrade`|
-|capacity|integer|This represents the amount of [quota](../how-to/quota.md) you are assigning to this deployment. A value of 1 equals 1,000 Tokens per Minute (TPM)|
+|capacity|integer|This represents the amount of [quota](../how-to/quota.md) you're assigning to this deployment. A value of 1 equals 1,000 Tokens per Minute (TPM)|
 
 #### Example request
 
@@ -302,7 +302,7 @@ Selecting a deployment name opens the **Properties** for the model deployment. F
 ![Screenshot of update deployment dialogue box with the model version field selector opened to show model version options available for selection.](media/working-with-models/provisioned-deployment-model-version-update.png)
 
 #### In-place migration: model family change
-In-place migration that target updating an existing provisioned deployment to a new model family are supported through REST API and Azure CLI. To perform an in-place migration targeting a model family change, use the example request below as a guide. In the request, you will need to update the model name and model version for the target model you are migrating to. 
+In-place migrations that target updating an existing provisioned deployment to a new model family are supported through REST API and Azure CLI. To perform an in-place migration targeting a model family change, use the example request below as a guide. In the request, you'll need to update the model name and model version for the target model you're migrating to. 
 
 ```Bash
 curl -X PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resource-group-temp/providers/Microsoft.CognitiveServices/accounts/docs-openai-test-001/deployments/gpt-4o-ptu-deployment?api-version=2024-10-01 \
@@ -365,7 +365,7 @@ curl -X PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-0
 Multi-deployment migrations allow you to have greater control over the model migration process. With multi-deployment migrations, you can dictate how quickly you would like to migrate your existing traffic to the target model version or model family on a new provisioned deployment. The process to migrate to a new model version or model family using the multi-deployment migration approach is as follows:
 - Create a new provisioned deployment. For this new deployment, you can choose to maintain the same provisioned deployment type as your existing deployment or select a new deployment type if desired.
 - Transition traffic from the existing provisioned deployment to the newly created provisioned deployment with your target model version or model family until all traffic is offloaded from the original deployment. 
-- Once traffic is migrated over to the new deployment, validate that there are no inference requests being processed on the previous provisioned deployment by ensuring the Azure OpenAI Requests metric does not show any API calls made within 5-10 minutes of the inference traffic being migrated over to the new deployment. For more information on this metric, [see the Monitor Azure OpenAI documentation](https://aka.ms/aoai/docs/monitor-azure-openai).
+- Once traffic is migrated over to the new deployment, validate that there are no inference requests being processed on the previous provisioned deployment by ensuring the Azure OpenAI Requests metric doesn't show any API calls made within 5-10 minutes of the inference traffic being migrated over to the new deployment. For more information on this metric, [see the Monitor Azure OpenAI documentation](https://aka.ms/aoai/docs/monitor-azure-openai).
 - Once you confirm that no inference calls have been made, delete the original provisioned deployment.
 
 ## Next steps
diff --git a/articles/ai-foundry/openai/index.yml b/articles/ai-foundry/openai/index.yml
@@ -11,7 +11,7 @@ metadata:
   ms.topic: landing-page
   author: mrbullwinkle
   ms.author: mbullwin
-  ms.date: 03/27/2025
+  ms.date: 07/02/2025
 
 # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
 # Limits: https://review.learn.microsoft.com/help/contribute/contribute-how-to-write-landing-page?branch=main#limits
diff --git a/articles/ai-foundry/openai/quickstart.md b/articles/ai-foundry/openai/quickstart.md
diff --git a/articles/ai-foundry/openai/reference-preview.md b/articles/ai-foundry/openai/reference-preview.md
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