Merge pull request #2778 from MicrosoftDocs/main

[Out of Band Publish] 2/6 - 11:00 AM PST

Author: Albertyang0

.openpublishing.redirection.json

@@ -15,6 +15,11 @@
       "redirect_url": "/azure/search/search-how-to-dotnet-sdk",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/agents/how-to/tools/overview.md",
+      "redirect_url": "/azure/ai-services/agents/overview",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/search/search-howto-index-csv-blobs.md",
       "redirect_url": "/azure/search/search-how-to-index-csv-blobs",
@@ -25,6 +30,11 @@
       "redirect_url": "/azure/search/search-how-to-large-index",
       "redirect_document_id": false
     },
+    {
+      "source_path_from_root": "/articles/ai-services/agents/concepts/agents.md",
+      "redirect_url": "/azure/ai-services/agents/overview",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/openai/how-to/use-your-data-securely.md",
       "redirect_url": "/azure/ai-services/openai/how-to/on-your-data-configuration",

articles/ai-services/agents/concepts/agents.md

@@ -34,7 +34,7 @@ Azure AI Agent Service supports the same models as the chat completions API in A
 | westus3    | ✅ | ✅ | ✅ | - | ✅ | - | ✅ | - | - | - | ✅ | - |
 
 
-## More models
+## Non-Microsoft models
 
 The Azure AI Agent Service also supports the following models from the Azure AI Foundry model catalog.
 
@@ -43,40 +43,11 @@ The Azure AI Agent Service also supports the following models from the Azure AI
 * Cohere-command-r-plus
 * Cohere-command-r
 
-To use these models, you can use Azure AI Foundry portal to make a deployment, and then reference it in your agent. 
-
-1. Go to the [Azure AI Foundry portal](https://ai.azure.com/) and select **Model catalog** in the left navigation menu, and scroll down to **Meta-Llama-3-70B-Instruct**. You can also find and use one of the models listed previously.  
-
-1. Select **Deploy**. 
-
-1. In the Deployment options screen that appears, select **Serverless API** with Azure AI Content Safety. 
-
-    :::image type="content" source="../media/llama/llama-deployment.png" alt-text="An image of the llama model project selection screen.":::
- 
-1. Select your project and then select **Subscribe and deploy**. 
-
-    :::image type="content" source="../media/llama/llama-deployment-2.png" alt-text="An image of the llama model deployment screen.":::
-
-1. Add the serverless connection to your hub/project. The deployment name you choose is the one that you reference in your code.  
-
-1. When calling agent creation API, set the `models` parameter to your deployment name. For example:
-
-    # [Python](#tab/python)
-
-    ```python
-    agent = project_client.agents.create_agent( model="llama-3", name="my-agent", instructions="You are a helpful agent" ) 
-    ```
-
-    # [C#](#tab/csharp)
-
-    ```csharp
-    Response<Agent> agentResponse = await client.CreateAgentAsync(
-            model: "llama-3",
-            name: "My agent",
-            instructions: "You are a helpful agent"
-    ```
-    ---
+To use these models, you can use Azure AI Foundry portal to make a deployment, and then reference the deployment name in your agent. For example:
 
+```python
+agent = project_client.agents.create_agent( model="llama-3", name="my-agent", instructions="You are a helpful agent" ) 
+```
 
 ## Next steps
 

articles/ai-services/agents/concepts/model-region-support.md

@@ -32,6 +32,12 @@ Use an existing Azure AI Search index with the agent's Azure AI Search tool.
 **Index with semantic configuration**
 - By default, the Azure AI Search tool runs hybrid + semantic search on all text fields.
 
+## Usage support
+
+|Azure AI foundry support  | Python SDK |	C# SDK | JavaScript SDK | Basic agent setup | Standard agent setup |
+|---------|---------|---------|---------|---------|---------|
+| ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
+
 [!INCLUDE [setup](../../includes/azure-search/setup.md)]
 
 ::: zone-end

articles/ai-services/agents/how-to/tools/azure-ai-search.md

@@ -35,6 +35,12 @@ The following examples highlight how to use the Azure AI Agent Service function
 
 You can find the template and code used here on [GitHub](https://github.com/Azure-Samples/azure-functions-ai-services-agent-python).
 
+## Usage support
+
+|Azure AI foundry support  | Python SDK |	C# SDK | Basic agent setup | Standard agent setup |
+|---------|---------|---------|---------|---------|
+|  | ✔️ |  | | ✔️ |
+
 ### Create Azure resources for local and cloud dev-test
 
 Once you have your Azure subscription, run the following in a new terminal window to create Azure OpenAI and other resources needed: