@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI's Python & REST API messages with Assistants.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 09/25/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI's Python & REST API runs with Assistants.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
+ms.topic: reference
 ms.date: 09/17/2024
 author: aahill
 ms.author: aahi

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI's Python & REST API threads with Assistants.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 09/17/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI's Python & REST API with Assistants.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 09/17/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -13,13 +13,13 @@ manager: nitinme
 
 # Abuse Monitoring
 
-Azure OpenAI Service detects and mitigates instances of recurring content and/or behaviors that suggest use of the service in a manner that might violate the [Code of Conduct](/legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context). Details on how data is handled can be found on the [Data, Privacy, and Security](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context) page.
+Azure OpenAI Service detects and mitigates instances of recurring content and/or behaviors that suggest use of the service in a manner that might violate the [Code of Conduct](https://aka.ms/AI-CoC). Details on how data is handled can be found on the [Data, Privacy, and Security](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context) page.
 
 ## Components of abuse monitoring
 
 There are several components to abuse monitoring:
 
-- **Content Classification**: Classifier models detect harmful text and/or images in user prompts (inputs) and completions (outputs). The system looks for categories of harms as defined in the [Content Requirements](/legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context), and assigns severity levels as described in more detail on the [Content Filtering](/azure/ai-services/openai/concepts/content-filter) page. The content classification signals contribute to pattern detection as described below.  
+- **Content Classification**: Classifier models detect harmful text and/or images in user prompts (inputs) and completions (outputs). The system looks for categories of harms as defined in the [Content Requirements](/legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context), and assigns severity levels as described in more detail on the [Content Filtering](/azure/ai-services/openai/concepts/content-filter) page. The content classification signals contribute to pattern detection as described below.  
 - **Abuse Pattern Capture**: Azure OpenAI Service’s abuse monitoring system looks at customer usage patterns and employs algorithms and heuristics to detect and score indicators of potential abuse. Detected patterns consider, for example, the frequency and severity at which harmful content is detected (as indicated in content classifier signals) in a customer’s prompts and completions, as well as the intentionality of the behavior. The trends and urgency of the detected pattern will also affect scoring of potential abuse severity.
     For example, a higher volume of harmful content classified as higher severity, or recurring conduct indicating intentionality (such as recurring jailbreak attempts) are both more likely to receive a high score indicating potential abuse. 
 - **Review and Decision**: Prompts and completions that are flagged through content classification and/or identified as part of a potentially abusive pattern of use are subjected to another review process to help confirm the system’s analysis and inform actioning decisions for abuse monitoring. Such review is conducted through two methods: automated review and human review.

@@ -6,7 +6,7 @@ author: PatrickFarley
 ms.author: pafarley
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 02/20/2025
+ms.date: 02/27/2025
 ms.custom: template-concept, devx-track-python
 manager: nitinme
 ---
@@ -820,9 +820,7 @@ This is an example message array:
 In addition to detection on last user content, Azure OpenAI also supports the detection of specific risks inside context documents via Prompt Shields – Indirect Prompt Attack Detection. You should identify parts of the input that are a document (for example, retrieved website, email, etc.) with the following document delimiter.  
 
 ```
-<documents> 
-*insert your document content here* 
-</documents>
+\"\"\" <documents> *insert your document content here* </documents> \"\"\" 
 ```
 
 When you do so, the following options are available for detection on tagged documents: 
@@ -1051,4 +1049,4 @@ As part of your application design, consider the following best practices to del
 - Apply for modified content filters via [this form](https://ncv.microsoft.com/uEfCgnITdR).
 - Azure OpenAI content filtering is powered by [Azure AI Content Safety](https://azure.microsoft.com/products/cognitive-services/ai-content-safety).
 - Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/legal/cognitive-services/openai/overview?context=/azure/ai-services/openai/context/context).
-- Learn more about how data is processed in connection with content filtering and abuse monitoring: [Data, privacy, and security for Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context#preventing-abuse-and-harmful-content-generation).
\ No newline at end of file
+- Learn more about how data is processed in connection with content filtering and abuse monitoring: [Data, privacy, and security for Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context#preventing-abuse-and-harmful-content-generation).

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about the different model capabilities that are available with Azure OpenAI.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 2/19/2025
+ms.date: 2/27/2025
 ms.custom: references_regions, build-2023, build-2023-dataai, refefences_regions
 manager: nitinme
 author: mrbullwinkle #ChrisHMSFT
@@ -18,6 +18,7 @@ Azure OpenAI Service is powered by a diverse set of models with different capabi
 
 | Models | Description |
 |--|--|
+| [GPT-4.5 Preview](#gpt-45-preview) |The latest GPT model that excels at diverse text and image tasks.  |
 | [o-series models](#o-series-models) |[Reasoning models](../how-to/reasoning.md) with advanced problem-solving and increased focus and capability.  |
 | [GPT-4o & GPT-4o mini & GPT-4 Turbo](#gpt-4o-and-gpt-4-turbo) | The latest most capable Azure OpenAI models with multimodal versions, which can accept both text and images as input. |
 | [GPT-4o audio](#gpt-4o-audio) | GPT-4o audio models that support either low-latency, "speech in, speech out" conversational interactions or audio generation. |
@@ -28,6 +29,31 @@ Azure OpenAI Service is powered by a diverse set of models with different capabi
 | [Whisper](#whisper-models) | A series of models in preview that can transcribe and translate speech to text. |
 | [Text to speech](#text-to-speech-models-preview) (Preview) | A series of models in preview that can synthesize text to speech. |
 
+## GPT-4.5 Preview
+
+### Availability
+
+**For access to `gpt-4.5-preview` registration is required, and access will be granted based on Microsoft's eligibility criteria**. Customers who have access to other limited access models will still need to request access for this model.
+
+Request access: [GPT-4.5-preview limited access model application](https://aka.ms/oai/gptaccess)
+
+Once access has been granted, you will need to create a deployment for the model
+
+### Region Availability
+
+| Model | Region |
+|---|---|
+| `gpt-4.5-preview` | East US 2 (Global Standard) <br> Sweden Central (Global Standard) |
+
+### Capabilities
+
+|  Model ID  | Description | Context Window | Max Output Tokens | Training Data (up to)  |
+|  --- |  :--- |:--- |:---|:---: |
+| `gpt-4.5-preview` (2025-02-27) <br> **GPT-4.5 Preview**  | The **latest GPT model** that excels at diverse text and image tasks. <br>-Structured outputs <br>-Prompt caching <br>-Tools <br>-Streaming<br>-Text(input/output)<br>- Image(input)   | 128,000 | 16,384 | Oct 2023 |
+
+> [!NOTE]
+> It is expected behavior that the model cannot answer questions about itself. If you want to know when the knowledge cutoff for the model's training data is, or other details about the model you should refer to the model documentation above.
+
 ## o-series models
 
 The Azure OpenAI o<sup>&#42;</sup> series models are specifically designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, and math compared to previous iterations.
@@ -64,6 +90,9 @@ The GPT 4o audio models are part of the GPT-4o model family and support either l
 - GPT-4o real-time audio is designed to handle real-time, low-latency conversational interactions, making it a great fit for support agents, assistants, translators, and other use cases that need highly responsive back-and-forth with a user. For more information on how to use GPT-4o real-time audio, see the [GPT-4o real-time audio quickstart](../realtime-audio-quickstart.md) and [how to use GPT-4o audio](../how-to/realtime-audio.md).
 - GPT-4o audio completion is designed to generate audio from audio or text prompts, making it a great fit for generating audio books, audio content, and other use cases that require audio generation. The GPT-4o audio completions model introduces the audio modality into the existing `/chat/completions` API. For more information on how to use GPT-4o audio completions, see the [audio generation quickstart](../audio-completions-quickstart.md).
 
+> [!CAUTION]
+> We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable GA version. Models that are designated preview don't follow the standard Azure OpenAI model lifecycle.
+
 To use GPT-4o audio, you need [an Azure OpenAI resource](../how-to/create-resource.md) in one of the [supported regions](#global-standard-model-availability).
 
 When your resource is created, you can [deploy](../how-to/create-resource.md#deploy-a-model) the GPT-4o audio model. 

@@ -123,7 +123,8 @@ curl -X PUT "https://management.azure.com/subscriptions/<SUBSCRIPTION>/resourceG
 
 #### Deleting a Provisioned Managed deployment
 
-To delete a deployment, use the [Deployments - Delete REST API(/rest/api/aiservices/accountmanagement/deployments/delete?view=rest-aiservices-accountmanagement-2024-10-01&tabs=HTTP&preserve-view=true) and send an HTTP DELETE to the deployment resource. Like with creating deployments, you must include the following parameters:
+To delete a deployment, use the [Deployments - Delete REST API](/rest/api/aiservices/accountmanagement/deployments/delete?view=rest-aiservices-accountmanagement-2024-10-01&tabs=HTTP&preserve-view=true) and send an HTTP DELETE to the deployment resource. Like with creating deployments, you must include the following parameters:
+
 
 - Azure subscription id
 - Azure resource group name

@@ -30,4 +30,4 @@ Configurable content filters for inputs (prompts) and outputs (completions) are
 
 Content filtering configurations are created within a Resource in Azure AI Foundry portal, and can be associated with Deployments. [Learn more about configurability here](../how-to/content-filters.md).  
 
-Customers are responsible for ensuring that applications integrating Azure OpenAI comply with the [Code of Conduct](/legal/cognitive-services/openai/code-of-conduct?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext). 
\ No newline at end of file
+Customers are responsible for ensuring that applications integrating Azure OpenAI comply with the [Code of Conduct](/legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context). 
\ No newline at end of file

@@ -133,7 +133,7 @@ landingContent:
         - text: Limited access
           url: /legal/cognitive-services/openai/limited-access?context=/azure/ai-services/openai/context/context
         - text: Code of conduct
-          url: /legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context
+          url: /legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context
         - text: Data, privacy, and security
           url: /legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context
         - text: Customer Copyright Commitment

@@ -31,7 +31,7 @@ Azure OpenAI Service provides REST API access to OpenAI's powerful language mode
 
 ## Responsible AI
 
-At Microsoft, we're committed to the advancement of AI driven by principles that put people first. Generative models such as the ones available in Azure OpenAI have significant potential benefits, but without careful design and thoughtful mitigations, such models have the potential to generate incorrect or even harmful content. Microsoft has made significant investments to help guard against abuse and unintended harm, which includes incorporating Microsoft’s <a href="https://www.microsoft.com/ai/responsible-ai?activetab=pivot1:primaryr6" target="_blank">principles for responsible AI use</a>, adopting a [Code of Conduct](/legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context) for use of the service, building [content filters](/azure/ai-services/content-safety/overview) to support customers, and providing responsible AI [information and guidance](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=image) that customers should consider when using Azure OpenAI.
+At Microsoft, we're committed to the advancement of AI driven by principles that put people first. Generative models such as the ones available in Azure OpenAI have significant potential benefits, but without careful design and thoughtful mitigations, such models have the potential to generate incorrect or even harmful content. Microsoft has made significant investments to help guard against abuse and unintended harm, which includes incorporating Microsoft’s <a href="https://www.microsoft.com/ai/responsible-ai?activetab=pivot1:primaryr6" target="_blank">principles for responsible AI use</a>, adopting a [Code of Conduct](/legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context) for use of the service, building [content filters](/azure/ai-services/content-safety/overview) to support customers, and providing responsible AI [information and guidance](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext&tabs=image) that customers should consider when using Azure OpenAI.
 
 ## Get started with Azure OpenAI Service
 

@@ -10,7 +10,7 @@ ms.custom:
   - ignite-2023
   - references_regions
 ms.topic: conceptual
-ms.date: 2/14/2025
+ms.date: 2/27/2025
 ms.author: mbullwin
 ---
 
@@ -62,6 +62,13 @@ The following sections provide you with a quick guide to the default quotas and
 
 [!INCLUDE [Quota](./includes/global-batch-limits.md)]
 
+### GPT-4.5 Preview global standard
+
+| Model|Tier| Quota Limit in tokens per minute (TPM) | Requests per minute |
+|---|---|:---:|:---:|
+| `gpt-4.5` | Enterprise Tier | 50 K | 1 |
+| `gpt-4.5` | Default | 50 K | 1 |
+
 ## `o-series` rate limits
 
 > [!IMPORTANT]

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI on your Azure Search data Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 09/20/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI on your Azure Cosmos DB data Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 09/24/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI on your Elasticsearch data Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 01/28/2025
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI on your Mongo DB Atlas data with Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 10/25/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI On Your Data Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 07/18/2024
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -4,8 +4,8 @@ titleSuffix: Azure OpenAI
 description: Learn how to use Azure OpenAI on your Pinecone data Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
-ms.topic: conceptual
-ms.date: 01/28/2025
+ms.topic: reference
+ms.date: 02/27/2025
 author: aahill
 ms.author: aahi
 recommendations: false

@@ -171,9 +171,9 @@ items:
       - name: Fine-tuning your model
         href: ./how-to/fine-tuning.md
         displayName: finetuning 
-      - name: Function calling
+      - name: Tool calling
         href: ./how-to/fine-tuning-functions.md
-        displayName: fine-tuning, finetuning
+        displayName: fine-tuning, finetuning, function calling
       - name: Weights & Biases integration (preview)
         href: ./how-to/weights-and-biases-integration.md
   - name: Stored completions
@@ -270,7 +270,7 @@ items:
     - name: Limited access
       href: /legal/cognitive-services/openai/limited-access?context=/azure/ai-services/openai/context/context
     - name: Code of conduct
-      href: /legal/cognitive-services/openai/code-of-conduct?context=/azure/ai-services/openai/context/context
+      href: /legal/ai-code-of-conduct?context=/azure/ai-services/openai/context/context
     - name: Data, privacy, and security
       href: /legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context
     - name: Customer Copyright Commitment

@@ -11,7 +11,7 @@ ms.custom:
   - references_regions
   - ignite-2024
 ms.topic: whats-new
-ms.date: 2/19/2025
+ms.date: 2/27/2025
 recommendations: false
 ---
 
@@ -21,9 +21,23 @@ This article provides a summary of the latest releases and major documentation u
 
 ## February 2025
 
+### GPT-4.5 Preview
+
+The latest GPT model that excels at diverse text and image tasks is now available on Azure OpenAI.
+
+**For access to `gpt-4.5-preview` registration is required, and access will be granted based on Microsoft's eligibility criteria**. Customers who have access to other limited access models will still need to request access for this model.
+
+Request access: [GPT-4.5-preview limited access model application](https://aka.ms/oai/gptaccess)
+
+For more information on model capabilities, and region availability see the [models documentation](./concepts/models.md#gpt-45-preview).
+
+### Stored completions API
+
+[Stored completions](./how-to/stored-completions.md#stored-completions-api) allow you to capture the conversation history from chat completions sessions to use as datasets for evaluations and fine-tuning.
+
 ### o3-mini datazone standard deployments
 
-`o3-mini` is now available for global standard, and data zone standard deployments for registered limited access customers. Data standard deployment regions are currently United States regions only.
+`o3-mini` is now available for global standard, and data zone standard deployments for registered limited access customers.
 
 For more information, see our [reasoning model guide](./how-to/reasoning.md).