Merge pull request #4143 from MicrosoftDocs/main

4/15/2025 AM Publish

Author: Taojunshen

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

@@ -27,9 +27,9 @@ To perform inferencing with the models, some models such as [Nixtla's TimeGEN-1]
 
 The Jamba family models are AI21's production-grade Mamba-based large language model (LLM) which uses AI21's hybrid Mamba-Transformer architecture. It's an instruction-tuned version of AI21's hybrid structured state space model (SSM) transformer Jamba model. The Jamba family models are built for reliable commercial use with respect to quality and performance.
 
-| Model  | Type | Capabilities | 
-| ------ | ---- | --- | 
-| [AI21-Jamba-1.5-Mini](https://ai.azure.com/explore/models/AI21-Jamba-1.5-Mini/version/1/registry/azureml-ai21) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text (262,144 tokens) <br /> - **Output:**  text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs | | 
+| Model  | Type | Capabilities |
+| ------ | ---- | --- |
+| [AI21-Jamba-1.5-Mini](https://ai.azure.com/explore/models/AI21-Jamba-1.5-Mini/version/1/registry/azureml-ai21) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text (262,144 tokens) <br /> - **Output:**  text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
 | [AI21-Jamba-1.5-Large](https://ai.azure.com/explore/models/AI21-Jamba-1.5-Large/version/1/registry/azureml-ai21) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text (262,144 tokens) <br /> - **Output:**  text (4,096 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON, structured outputs |
 
 
@@ -68,10 +68,12 @@ The following table lists the Cohere models that you can inference via the  Azur
 
 | Model  | Type | Capabilities | 
 | ------ | ---- | --- | 
+| [Cohere-command-A](https://aka.ms/aistudio/landing/cohere-command-a) | [chat-completion](../model-inference/how-to/use-chat-completions.md?context=/azure/ai-foundry/context/context) | - **Input:** text (256,000 tokens) <br /> - **Output:** text (8,000 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** Text |
 | [Cohere-command-r-plus-08-2024](https://ai.azure.com/explore/models/Cohere-command-r-plus-08-2024/version/1/registry/azureml-cohere) | [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:** Yes <br /> - **Response formats:** Text, JSON |
 | [Cohere-command-r-08-2024](https://ai.azure.com/explore/models/Cohere-command-r-08-2024/version/1/registry/azureml-cohere) | [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:** Yes <br /> - **Response formats:** Text, JSON |
 | [Cohere-command-r-plus](https://ai.azure.com/explore/models/Cohere-command-r-plus/version/1/registry/azureml-cohere) <br> (deprecated) | [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:** Yes <br /> - **Response formats:** Text, JSON |
 | [Cohere-command-r](https://ai.azure.com/explore/models/Cohere-command-r/version/1/registry/azureml-cohere) <br> (deprecated)| [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:** Yes <br /> - **Response formats:** Text, JSON |
+| [Cohere-embed-4](https://aka.ms/aistudio/landing/cohere-embed-4) | [embeddings](../model-inference/how-to/use-embeddings.md?context=/azure/ai-foundry/context/context) <br /> [image-embeddings](../model-inference/how-to/use-image-embeddings.md?context=/azure/ai-foundry/context/context) | - **Input:** image, text <br /> - **Output:** image, text (128,000 tokens) <br /> - **Tool calling:** Yes <br /> - **Response formats:** image, text  |
 | [Cohere-embed-v3-english](https://ai.azure.com/explore/models/Cohere-embed-v3-english/version/1/registry/azureml-cohere) | [embeddings](../model-inference/how-to/use-embeddings.md?context=/azure/ai-foundry/context/context) <br /> [image-embeddings](../model-inference/how-to/use-image-embeddings.md?context=/azure/ai-foundry/context/context) | - **Input:** text (512 tokens) <br /> - **Output:** Vector (1,024 dim.) |
 | [Cohere-embed-v3-multilingual](https://ai.azure.com/explore/models/Cohere-embed-v3-multilingual/version/1/registry/azureml-cohere) | [embeddings](../model-inference/how-to/use-embeddings.md?context=/azure/ai-foundry/context/context) <br /> [image-embeddings](../model-inference/how-to/use-image-embeddings.md?context=/azure/ai-foundry/context/context) | - **Input:** text (512 tokens) <br /> - **Output:** Vector (1,024 dim.) |
 

articles/ai-foundry/includes/region-availability-maas.md

@@ -27,13 +27,15 @@ Bria-2.3-Fast   | [Microsoft Managed Countries/Regions](/partner-center/marketpl
 
 | Model   | Offer Availability Region  | Hub/Project Region for Deployment  | Hub/Project Region for Fine tuning  |
 |---------|---------|---------|---------|
+Cohere Command A     |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Israel <br> Qatar | East US 2 <br> Sweden Central  | Not available   |
 Cohere Command R+ 08-2024     |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3  | Not available        |
 Cohere Command R 08-2024     |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions)  |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3  | Not available        |
 Cohere Command R+     |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar  |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3  | Not available        |
 Cohere Command R      | [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar     | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3       | Not available        |
 Cohere Rerank v3.5  |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Israel <br> Qatar  | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3   | Not available       |
 Cohere Rerank v3 - English   |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar  | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3   | Not available       |
 Cohere Rerank v3 - Multilingual   |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar  | East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3   | Not available       |
+Cohere Embed 4    |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Israel <br> Qatar   | East US 2 <br> Sweden Central  |  Not available  |
 Cohere Embed v3 - English    |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar   |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3    | Not available       |
 Cohere Embed v3 -  Multilingual    |  [Microsoft Managed Countries/Regions](/partner-center/marketplace/tax-details-marketplace#microsoft-managed-countriesregions) <br> Japan <br> Qatar   |East US <br> East US 2 <br> North Central US <br> South Central US <br> Sweden Central <br> West US <br> West US 3    | Not available       |
 

articles/ai-foundry/model-inference/concepts/models.md

@@ -108,10 +108,10 @@ See [this model collection in Azure AI Foundry portal](https://ai.azure.com/expl
 DeepSeek family of models includes DeepSeek-R1, which excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks.
 
 | Model  | Type | Tier | Capabilities |
-| ------ | ---- | --- | ------------ |
+| ------ | ---- | ---- | ------------ |
+| [DeekSeek-V3-0324](https://ai.azure.com/explore/models/deepseek-v3-0324/version/1/registry/azureml-deepseek) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:**  (131,072 tokens) <br /> - **Languages:** `en` and `zh` <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
 | [DeekSeek-R1](https://ai.azure.com/explore/models/deepseek-r1/version/1/registry/azureml-deepseek) | chat-completion <br /> [(with reasoning content)](../how-to/use-chat-reasoning.md) | Global standard | - **Input:** text (163,840 tokens) <br /> - **Output:**  (163,840 tokens) <br /> - **Languages:** `en` and `zh` <br />  - **Tool calling:** No <br /> - **Response formats:** Text. |
 | [DeekSeek-V3](https://ai.azure.com/explore/models/deepseek-v3/version/1/registry/azureml-deepseek) <br />(Legacy) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:**  (131,072 tokens) <br /> - **Languages:** `en` and `zh` <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
-| [DeekSeek-V3-0324](https://ai.azure.com/explore/models/deepseek-v3-0324/version/1/registry/azureml-deepseek) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:**  (131,072 tokens) <br /> - **Languages:** `en` and `zh` <br />  - **Tool calling:** No <br /> - **Response formats:** Text, JSON |
 
 For a tutorial on DeepSeek-R1, see [Tutorial: Get started with DeepSeek-R1 reasoning model in Azure AI model inference](../tutorials/get-started-deepseek-r1.md).
 
@@ -167,12 +167,13 @@ Mistral AI offers two categories of models: premium models including Mistral Lar
 
 | Model  | Type | Tier | Capabilities |
 | ------ | ---- | --- | ------------ |
+| [Mistral-small-2503](https://ai.azure.com/explore/models/Mistral-small-2503/version/1/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-Large-2411](https://ai.azure.com/explore/models/Mistral-Large-2411/version/2/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (128,000 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** `en`, `fr`, `de`, `es`, `it`, `zh`, `ja`, `ko`, `pt`, `nl`, and `pl` <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Codestral-2501](https://ai.azure.com/explore/models/Codestral-2501/version/2/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (262,144 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** en <br />  - **Tool calling:** No <br /> - **Response formats:** Text |
 | [Ministral-3B](https://ai.azure.com/explore/models/Ministral-3B/version/1/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-Nemo](https://ai.azure.com/explore/models/Mistral-Nemo/version/1/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** `en`, `fr`, `de`, `es`, `it`, `zh`, `ja`, `ko`, `pt`, `nl`, and `pl` <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-large-2407](https://ai.azure.com/explore/models/Mistral-large-2407/version/1/registry/azureml-mistral) <br> (deprecated) | chat-completion | Global standard | - **Input:** text (131,072 tokens) <br /> - **Output:**  (4,096 tokens) <br /> - **Languages:** `en`, `fr`, `de`, `es`, `it`, `zh`, `ja`, `ko`, `pt`, `nl`, and `pl` <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
-| [Mistral-small](https://ai.azure.com/explore/models/Mistral-small/version/1/registry/azureml-mistral) | chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
+| [Mistral-small](https://ai.azure.com/explore/models/Mistral-small/version/1/registry/azureml-mistral) <br> (deprecated) | chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:** text (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 | [Mistral-large](https://ai.azure.com/explore/models/Mistral-large/version/1/registry/azureml-mistral) <br> (deprecated) | chat-completion | Global standard | - **Input:** text (32,768 tokens) <br /> - **Output:**  (4,096 tokens) <br /> - **Languages:** fr, de, es, it, and en <br />  - **Tool calling:** Yes <br /> - **Response formats:** Text, JSON |
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=mistral).

articles/ai-foundry/model-inference/includes/create-model-deployments/cli.md

@@ -40,7 +40,7 @@ To add a model, you first need to identify the model that you want to deploy. Yo
 2. If you have more than 1 subscription, select the subscription where your resource is located:
 
     ```azurecli
-    az account set --subscription $subscriptionId>
+    az account set --subscription $subscriptionId
     ```
 
 3. Set the following environment variables with the name of the Azure AI Services resource you plan to use and resource group.
@@ -98,6 +98,24 @@ To add a model, you first need to identify the model that you want to deploy. Yo
 
 You can deploy the same model multiple times if needed as long as it's under a different deployment name. This capability might be useful in case you want to test different configurations for a given model, including content safety.
 
+## Use the model
+
+Deployed models in Azure AI model inference can be consumed using the [Azure AI model's inference endpoint](../../concepts/endpoints.md) for the resource. When constructing your request, indicate the parameter `model` and insert the model deployment name you have created. You can programmatically get the URI for the inference endpoint using the following code:
+
+__Inference endpoint__
+
+```azurecli
+az cognitiveservices account show  -n $accountName -g $resourceGroupName | jq '.properties.endpoints["Azure AI Model Inference API"]'
+```
+
+To make requests to the Azure AI model inference endpoint, append the route `models`, for example `https://<resource>.services.ai.azure.com/models`. You can see the API reference for the endpoint at [Azure AI model inference API reference page](https://aka.ms/azureai/modelinference).
+
+__Inference keys__
+
+```azurecli
+az cognitiveservices account keys list  -n $accountName -g $resourceGroupName
+```
+
 ## Manage deployments
 
 You can see all the deployments available using the CLI:
@@ -124,26 +142,5 @@ You can see all the deployments available using the CLI:
         --deployment-name "Phi-3.5-vision-instruct" \
         -n $accountName \
         -g $resourceGroupName
-    ```
-
-## Use the model
-
-Deployed models in Azure AI model inference can be consumed using the [Azure AI model's inference endpoint](../../concepts/endpoints.md) for the resource. When constructing your request, indicate the parameter `model` and insert the model deployment name you have created. You can programmatically get the URI for the inference endpoint using the following code:
-
-__Inference endpoint__
-
-```azurecli
-az cognitiveservices account show  -n $accountName -g $resourceGroupName | jq '.properties.endpoints["Azure AI Model Inference API"]'
-```
-
-To make requests to the Azure AI model inference endpoint, append the route `models`, for example `https://<resource>.services.ai.azure.com/models`. You can see the API reference for the endpoint at [Azure AI model inference API reference page](https://aka.ms/azureai/modelinference).
-
-__Inference keys__
-
-```azurecli
-az cognitiveservices account keys list  -n $accountName -g $resourceGroupName
-```
-
+    ```    
     
-    
-

articles/ai-services/openai/concepts/models.md

@@ -38,12 +38,15 @@ Azure OpenAI Service is powered by a diverse set of models with different capabi
 | Model | Region |
 |---|---|
 | `gpt-4.1` (2025-04-14) | East US2 (Global Standard), Sweden Central (Global Standard) |
+| `gpt-4.1-nano` (2025-04-14) | East US2 (Global Standard), Sweden Central (Global Standard)|
 
 ### Capabilities
 
 |  Model ID  | Description | Context Window | Max Output Tokens | Training Data (up to)  |
 |  --- |  :--- |:--- |:---|:---: |
 | `gpt-4.1` (2025-04-14) <br> <br> **Latest model from Azure OpenAI**  | - Text & image input <br> - Text output <br> - Chat completions API <br>- Responses API <br> - Streaming <br> - Function calling <br> Structured outputs (chat completions)   | 1,047,576 | 32,768 | May 31, 2024 |
+| `gpt-4.1-nano` (2025-04-14) <br><br> **Fastest 4.1 model** | - Text & image input <br> - Text output <br> - Chat completions API <br>- Responses API <br> - Streaming <br> - Function calling <br> Structured outputs (chat completions)   | 1,047,576  | 32,768 | May 31, 2024 |
+
 
 ## computer-use-preview
 

articles/ai-services/openai/how-to/embeddings.md

@@ -57,7 +57,7 @@ string oaiKey = "YOUR_API_KEY";
 
 AzureKeyCredential credentials = new (oaiKey);
 
-OpenAIClient openAIClient = new (oaiEndpoint, credentials);
+AzureOpenAIClient openAIClient = new (oaiEndpoint, credentials);
 
 EmbeddingsOptions embeddingOptions = new()
 {

articles/ai-services/openai/how-to/function-calling.md

@@ -7,7 +7,7 @@ ms.author: mbullwin #delegenz
 ms.service: azure-ai-openai
 ms.custom: devx-track-python
 ms.topic: how-to
-ms.date: 02/28/2025
+ms.date: 04/14/2025
 manager: nitinme
 ---
 
@@ -40,6 +40,8 @@ At a high level you can break down working with functions into three steps:
 * `gpt-4o` (`2024-11-20`)
 * `gpt-4o-mini` (`2024-07-18`)
 * `gpt-4.5-preview` (`2025-02-27`)
+* `gpt-4.1` (`2025-14-2025`)
+* `gpt-4.1-nano` (`2025-14-2025`)
 
 Support for parallel function was first added in API version [`2023-12-01-preview`](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-12-01-preview/inference.json)