Merge branch 'MicrosoftDocs:main' into patch-2

Author: challenp

articles/ai-foundry/ai-services/content-safety-overview.md

@@ -7,18 +7,18 @@ ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2024
 ms.topic: overview
-ms.date: 02/20/2025
+ms.date: 05/01/2025
 ms.author: pafarley
 author: PatrickFarley
 ---
 
 # Content Safety in the Azure AI Foundry portal
 
-Azure AI Content Safety is an AI service that detects harmful user-generated and AI-generated content in applications and services. Azure AI Content Safety includes various APIs that allow you to detect and prevent the output of harmful content. The interactive Content Safety **try out** page in [Azure AI Foundry portal](https://ai.azure.com) allows you to view, explore, and try out sample code for detecting harmful content across different modalities. 
+Azure AI Content Safety is an AI service that detects harmful user-generated and AI-generated content in applications and services. Azure AI Content Safety includes APIs that allow you to detect and prevent the output of harmful content. The interactive Content Safety **try it out** page in [Azure AI Foundry portal](https://ai.azure.com) allows you to view, explore, and try out sample code for detecting harmful content across different modalities. 
 
 ## Features
 
-You can use Azure AI Content Safety for many scenarios: 
+You can use Azure AI Content Safety for the following scenarios: 
 
 **Text content**: 
 - Moderate text content: This feature scans and moderates text content, identifying and categorizing it based on different levels of severity to ensure appropriate responses. 

articles/ai-foundry/concepts/content-filtering.md

@@ -9,24 +9,24 @@ ms.custom:
   - build-2024
   - ignite-2024
 ms.topic: conceptual
-ms.date: 01/10/2025
+ms.date: 04/29/2025
 ms.reviewer: eur
 ms.author: pafarley
 author: PatrickFarley
 ---
 
 # Content filtering in Azure AI Foundry portal
 
-[Azure AI Foundry](https://ai.azure.com) includes a content filtering system that works alongside core models and DALL-E image generation models.
+[Azure AI Foundry](https://ai.azure.com) includes a content filtering system that works alongside core models and image generation models.
 
 > [!IMPORTANT]
 > The content filtering system isn't applied to prompts and completions processed by the Whisper model in Azure OpenAI Service. Learn more about the [Whisper model in Azure OpenAI](../../ai-services/openai/concepts/models.md).
 
 ## How it works 
 
-This content filtering system is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md), and it works by running both the prompt input and completion output through an ensemble of classification models aimed at detecting and preventing the output of harmful content. Variations in API configurations and application design might affect completions and thus filtering behavior.
+The content filtering system is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md), and it works by running both the prompt input and completion output through a set of classification models designed to detect and prevent the output of harmful content. Variations in API configurations and application design might affect completions and thus filtering behavior.
 
-With Azure OpenAI model deployments, you can use the default content filter or create your own content filter (described later on).  Models available through **serverless APIs** have content filtering enabled by default. To learn more about the default content filter enabled for serverless APIs, see [Content safety for models curated by Azure AI in the model catalog](model-catalog-content-safety.md).
+With Azure OpenAI model deployments, you can use the default content filter or create your own content filter (described later on). Models available through **serverless APIs** have content filtering enabled by default. To learn more about the default content filter enabled for serverless APIs, see [Content safety for models curated by Azure AI in the model catalog](model-catalog-content-safety.md).
 
 ## Language support
 
@@ -89,7 +89,7 @@ The configurability feature allows customers to adjust the settings, separately
 Customers are responsible for ensuring that applications integrating Azure OpenAI comply with the [Code of Conduct](/legal/ai-code-of-conduct?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext). 
 
 
-## Next steps
+## Related content
 
 - Learn more about the [underlying models that power Azure OpenAI](../../ai-services/openai/concepts/models.md).
 - Azure AI Foundry content filtering is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md).

articles/ai-foundry/concepts/models-featured.md

@@ -215,6 +215,8 @@ Microsoft models include various model groups such as MAI models, Phi models, he
 | Model  | Type | Capabilities |
 | ------ | ---- | ------------ |
 | [MAI-DS-R1](https://ai.azure.com/explore/models/MAI-DS-R1/version/1/registry/azureml) | [chat-completion with reasoning content](../model-inference/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (163,840 tokens) <br /> - **Output:** text (163,840 tokens) <br />  - **Tool calling:** No <br /> - **Response formats:** Text. |
+| [Phi-4-reasoning](https://aka.ms/azureai/landing/Phi-4-reasoning) | [chat-completion with reasoning content](../model-inference/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (32768 tokens) <br /> - **Output:** text (32768 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text |
+| [Phi-4-mini-reasoning](https://aka.ms/azureai/landing/Phi-4-mini-reasoning) | [chat-completion with reasoning content](../model-inference/how-to/use-chat-reasoning.md?context=/azure/ai-foundry/context/context) | - **Input:** text (128,000 tokens) <br /> - **Output:** text (128,000 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text |
 | [Phi-4-multimodal-instruct](https://ai.azure.com/explore/models/Phi-4-multimodal-instruct/version/1/registry/azureml) | [chat-completion (with image and audio content)](../model-inference/how-to/use-chat-multi-modal.md?context=/azure/ai-foundry/context/context) | - **Input:** text, images, and audio (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text |
 | [Phi-4-mini-instruct](https://ai.azure.com/explore/models/Phi-4-mini-instruct/version/1/registry/azureml) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br />  - **Tool calling:** No <br /> - **Response formats:** Text |
 | [Phi-4](https://ai.azure.com/explore/models/Phi-4/version/2/registry/azureml) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text (16,384 tokens) <br /> - **Output:** text (16,384 tokens) <br /> - **Tool calling:** No <br /> - **Response formats:** Text |

articles/ai-foundry/concepts/prompt-flow.md

@@ -14,6 +14,7 @@ ms.reviewer: none
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Prompt flow in Azure AI Foundry portal

articles/ai-foundry/how-to/flow-bulk-test-evaluation.md

@@ -13,6 +13,7 @@ ms.reviewer: none
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Submit a batch run and evaluate a flow

articles/ai-foundry/how-to/flow-deploy.md

@@ -14,6 +14,7 @@ ms.reviewer: none
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Deploy a flow for real-time inference

articles/ai-foundry/how-to/flow-develop-evaluation.md

@@ -13,6 +13,7 @@ ms.reviewer: mithigpe
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Develop an evaluation flow in Azure AI Foundry portal

articles/ai-foundry/how-to/flow-develop.md

@@ -14,6 +14,7 @@ ms.reviewer: none
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Develop a prompt flow

articles/ai-foundry/how-to/flow-process-image.md

@@ -12,6 +12,7 @@ ms.reviewer: none
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Process images in prompt flow

articles/ai-foundry/how-to/flow-tune-prompts-using-variants.md

@@ -13,6 +13,7 @@ ms.reviewer: none
 ms.author: lagayhar
 author: lgayhardt
 ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
+ms.update-cycle: 180-days
 ---
 
 # Tune prompts using variants in Azure AI Foundry portal