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Copy file name to clipboardExpand all lines: articles/advisor/advisor-release-notes.md
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title: What's new in Azure Advisor
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description: A description of what's new and changed in Azure Advisor
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ms.topic: reference
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ms.date: 11/02/2023
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ms.date: 05/03/2024
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---
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# What's new in Azure Advisor?
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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.
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## April 2024
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### Azure Advisor will no longer display aggregated potential yearly savings beginning 30 September 2024
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In the Azure portal, Azure Advisor currently shows potential aggregated cost savings under the label "Potential yearly savings based on retail pricing" on pages where cost recommendations are displayed (as shown in the image). This aggregated savings estimate will be removed from the Azure portal on 30 September 2024. However, you can still evaluate potential yearly savings tailored to your specific needs by following the steps in [Calculate cost savings](/azure/advisor/advisor-how-to-calculate-total-cost-savings). All individual recommendations and their associated potential savings will remain available.
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#### Recommended action
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If you want to continue calculating aggregated potential yearly savings, follow [these steps](/azure/advisor/advisor-how-to-calculate-total-cost-savings). Note that individual recommendations might show savings that overlap with the savings shown in other recommendations, although you might not be able to benefit from them concurrently. For example, you can benefit from savings plans or from reservations for virtual machines, but not typically from both on the same virtual machines.
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### Public Preview: Resiliency Review on Azure Advisor
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Recommendations from WAF Reliability reviews in Advisor help you focus on the most important recommendations to ensure your workloads remain resilient. As part of the review, personalized and prioritized recommendations from Microsoft Cloud Solution Architects will be presented to you and your team. You can triage recommendations (accept or reject), manage their lifecycle on Advisor, and work with your Microsoft account team to track resolution. You can reach out to your account team to request Well Architected Reliability Assessment to successfully optimize workload resiliency and reliability by implementing curated recommendations and track its lifecycle on Advisor.
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To learn more, visit [Azure Advisor Resiliency Reviews](/azure/advisor/advisor-resiliency-reviews).
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### Cost Optimization workbook template
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The Azure Cost Optimization workbook serves as a centralized hub for some of the most used tools that can help you drive utilization and efficiency goals. It offers a range of recommendations, including Azure Advisor cost recommendations, identification of idle resources, and management of improperly deallocated Virtual Machines. Additionally, it provides insights into leveraging Azure Hybrid benefit options for Windows, Linux, and SQL databases
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The Azure Cost Optimization workbook serves as a centralized hub for some of the most used tools that can help you drive utilization and efficiency goals. It offers a range of recommendations, including Azure Advisor cost recommendations, identification of idle resources, and management of improperly deallocated Virtual Machines. Additionally, it provides insights into leveraging Azure Hybrid benefit options for Windows, Linux, and SQL databases.
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To learn more, visit [Understand and optimize your Azure costs using the Cost Optimization workbook](/azure/advisor/advisor-cost-optimization-workbook).
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Azure Advisor now provides the option to postpone or dismiss a recommendation for multiple resources at once. Once you open a recommendations details page with a list of recommendations and associated resources, select the relevant resources and choose **Postpone** or **Dismiss** in the command bar at the top of the page.
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To learn more, visit [Dismissing and postponing recommendations](/azure/advisor/view-recommendations#dismissing-and-postponing-recommendations)
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To learn more, visit [Dismissing and postponing recommendations](/azure/advisor/view-recommendations#dismissing-and-postponing-recommendations).
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### VM/VMSS right-sizing recommendations with custom lookback period
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### Unlimited number of subscriptions
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It is easier now to get an overview of optimization opportunities available to your organization – no need to spend time and effort to apply filters and process subscription in batches.
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It's easier now to get an overview of optimization opportunities available to your organization – no need to spend time and effort to apply filters and process subscription in batches.
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To learn more, visit [Get started with Azure Advisor](advisor-get-started.md).
Copy file name to clipboardExpand all lines: articles/ai-services/openai/api-version-deprecation.md
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Azure OpenAI API version [2024-04-01-preview](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-04-01-preview/inference.json)
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is currently the latest preview release.
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This version contains support for all the latest Azure OpenAI features including:
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This version contains support for the latest Azure OpenAI features including:
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-[Embeddings `encoding_format` and `dimensions` parameters][**Added in 2024-03-01-preview**]
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-[Assistants API](./assistants-reference.md). [**Added in 2024-02-15-preview**]
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-[Function calling](./how-to/function-calling.md)[**Added in 2023-07-01-preview**]
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-[Retrieval augmented generation with the on your data feature](./use-your-data-quickstart.md). [**Added in 2023-06-01-preview**]
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## Changes between 2024-03-01-preview and 2024-04-01-preview API specification
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-**Breaking Change**: Enhancements parameters removed. This impacts the `gpt-4`**Version:**`vision-preview` model.
Azure OpenAI API version [2024-02-01](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/stable/2024-02-01/inference.json)
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-`2023-12-01-preview` (retiring July 1, 2024) (This version or greater required for Vision scenarios) [Swagger spec](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-12-01-preview)
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|`content`| string or array | Yes | N/A | The content of the message. It must be a string, unless in a Vision-enabled scenario. If it's part of the `user` message, using the GPT-4 Turbo with Vision model, with the latest API version, then `content` must be an array of structures, where each item represents either text or an image: <ul><li> `text`: input text is represented as a structure with the following properties: </li> <ul> <li> `type` = "text" </li> <li> `text` = the input text </li> </ul> <li> `images`: an input image is represented as a structure with the following properties: </li><ul> <li> `type` = "image_url" </li> <li> `image_url` = a structure with the following properties: </li> <ul> <li> `url` = the image URL </li> <li>(optional) `detail` = `high`, `low`, or `auto` </li> </ul> </ul> </ul>|
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|`contentPart`| object | No | N/A | Part of a user's multi-modal message. It can be either text type or image type. If text, it will be a text string. If image, it will be a `contentPartImage` object. |
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|`contentPartImage`| object | No | N/A | Represents a user-uploaded image. It has a `url` property, which is either a URL of the image or the base 64 encoded image data. It also has a `detail` property which can be `auto`, `low`, or `high`.|
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|`enhancements`| object | No | N/A | Represents the Vision enhancement features requested for the chat. It has `grounding` and `ocr` properties, each has a boolean `enabled` property. Use these to request the OCR service and/or the object detection/grounding service [This preview parameter is not available in the `2024-02-01` GA API].|
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|`enhancements`| object | No | N/A | Represents the Vision enhancement features requested for the chat. It has `grounding` and `ocr` properties, each has a boolean `enabled` property. Use these to request the OCR service and/or the object detection/grounding service [This preview parameter is not available in the `2024-02-01` GA API and is no longer available in preview APIs after `2024-03-01-preview`.]|
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|`dataSources`| object | No | N/A | Represents additional resource data. Computer Vision resource data is needed for Vision enhancement. It has a `type` property, which should be `"AzureComputerVision"` and a `parameters` property, which has an `endpoint` and `key` property. These strings should be set to the endpoint URL and access key of your Computer Vision resource.|
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|```prompt```| string | No | Null | An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.<br/><br/>For more information about prompts including example use cases, see the [OpenAI documentation](https://platform.openai.com/docs/guides/speech-to-text/supported-languages). |
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|```response_format```| string | No | json | The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.<br/><br/>The default value is *json*. |
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|```temperature```| number | No | 0 | The sampling temperature, between 0 and 1.<br/><br/>Higher values like 0.8 makes the output more random, while lower values like 0.2 make it more focused and deterministic. If set to 0, the model uses [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.<br/><br/>The default value is *0*. |
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|```timestamp_granularities```| array | Optional | segment | The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency. [**Added in 2024-04-01-prevew**]|
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#### Example request
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