Merge pull request #5022 from aahill/removal

v-dirichards · web-flow · commit 87bb855dcda1 · 2025-05-19T11:51:32.000-05:00
removing code sections
diff --git a/articles/ai-services/agents/how-to/tools/bing-custom-search-samples.md b/articles/ai-services/agents/how-to/tools/bing-custom-search-samples.md
@@ -1,7 +1,7 @@
 ---
-title: 'How to use the Custom Bing Search with Azure AI Agent Service tool'
+title: 'How to use the Custom Bing Search with Azure AI Foundry Agent Service tool'
 titleSuffix: Azure OpenAI
-description: Find samples to ground Azure AI Agents using Custom Bing Search results.
+description: Find samples to ground Azure AI Foundry Agents using Custom Bing Search results.
 services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-agent-service
@@ -35,6 +35,7 @@ zone_pivot_groups: selection-bing-custom-grounding
 
 :::zone-end
 
+<!--
 ::: zone pivot="python"
 
 ## Create a project client
@@ -131,6 +132,8 @@ if response_message:
 
 
 :::zone-end
+-->
+
 <!--
 ::: zone pivot="csharp"
 
@@ -378,7 +381,9 @@ Create a run and observe that the model uses the Grounding with Bing Custom Sear
 ::: zone pivot="rest"
 
 >[!IMPORTANT]
-> 1. This REST API allows developers to invoke the Grounding with Bing Custom Search tool through the Azure AI Foundry Agent Service. It does not send calls to the Grounding with Bing Custom Search API directly. 
+> * This REST API allows developers to invoke the Grounding with Bing Custom Search tool through the Azure AI Foundry Agent Service. It does not send calls to the Grounding with Bing Custom Search API directly.
+> * The following samples are applicable if you are using **Azure AI Foundry Project** resource with Microsoft Fabric tool through REST API call
+> * Your connection ID should be in this format: `/subscriptions/<sub-id>/resourceGroups/<your-rg-name>/providers/Microsoft.CognitiveServices/accounts/<your-ai-services-name>/projects/<your-project-name>/connections/<your-bing-connection-name>`
 
 Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api#api-call-information) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
 
@@ -402,12 +407,12 @@ curl --request POST \
             "bing_custom_search": {
                 "search_configurations": [
                     {
-                        "connection_id": <your_custom_search_connecion_id>,
+                        "connection_id": /subscriptions/<sub-id>/resourceGroups/<your-rg-name>/providers/Microsoft.CognitiveServices/accounts/<your-ai-services-name>/projects/<your-project-name>/connections/<your-fabric-connection-name>,
                         "instance_name": <your_custom_search_configuration_name>, 
                         "count": 7,
                         "market": "en-US", 
                         "set_lang": "en",
-                        "freshness": "7d",
+                        "freshness": "day",
                     }
                 ]
             }
diff --git a/articles/ai-services/agents/how-to/tools/fabric.md b/articles/ai-services/agents/how-to/tools/fabric.md
@@ -1,7 +1,7 @@
 ---
 title: 'How to use the data agents in Microsoft Fabric with Azure AI Foundry Agent Service'
 titleSuffix: Azure AI Foundry
-description: Learn how to perform data analytics in Azure AI Agents using Microsoft Fabric data agent.
+description: Learn how to perform data analytics in Azure AI Foundry Agents using Microsoft Fabric data agent.
 services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-agent-service
@@ -14,15 +14,15 @@ zone_pivot_groups: selection-fabric-data-agent
 
 # Use the Microsoft Fabric data agent (preview)
 
-Integrate your Azure AI Agent with the [**Microsoft Fabric data agent**](https://go.microsoft.com/fwlink/?linkid=2312815) to unlock powerful data analysis capabilities. The Fabric data agent transforms enterprise data into conversational Q&A systems, allowing users to interact with the data through chat and uncover data-driven and actionable insights. 
+Integrate your Azure AI Foundry Agent with the [**Microsoft Fabric data agent**](https://go.microsoft.com/fwlink/?linkid=2312815) to unlock powerful data analysis capabilities. The Fabric data agent transforms enterprise data into conversational Q&A systems, allowing users to interact with the data through chat and uncover data-driven and actionable insights. 
 
-You need to first build and publish a Fabric data agent and then connect your Fabric data agent with the published endpoint. When a user sends a query, Azure AI Agent will first determine if the Fabric data agent should be leveraged or not. If so, it will use the end user’s identity to generate queries over data they have access to. Lastly, Azure AI Agent will generate responses based on queries returned from Fabric data agents. With Identity Passthrough (On-Behalf-Of) authorization, this integration simplifies access to enterprise data in Fabric while maintaining robust security, ensuring proper access control and enterprise-grade protection. 
+You need to first build and publish a Fabric data agent and then connect your Fabric data agent with the published endpoint. When a user sends a query, the will first determine if the Fabric data agent should be leveraged or not. If so, it will use the end user’s identity to generate queries over data they have access to. Lastly, the agent will generate responses based on queries returned from Fabric data agents. With Identity Passthrough (On-Behalf-Of) authorization, this integration simplifies access to enterprise data in Fabric while maintaining robust security, ensuring proper access control and enterprise-grade protection. 
 
 ## Usage support
 
 |Azure AI foundry support  | Python SDK |	C# SDK | JavaScript SDK | REST API |Basic agent setup | Standard agent setup |
 |---------|---------|---------|---------|---------|---------|---------|
-| ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
+| ✔️ |  |  |  | ✔️ | ✔️ | ✔️ |
 
 ## Prerequisites
 * You have created and published a Fabric data agent endpoint
@@ -31,7 +31,7 @@ You need to first build and publish a Fabric data agent and then connect your Fa
 
 * Developers and end users have at least `READ` access to the Fabric data agent and the underlying data sources it connects with.
 
-* Your Fabric Data Agent and Azure AI Agent need to be in the same tenant.
+* Your Fabric Data Agent and Azure AI Foundry Agent need to be in the same tenant.
 
 ## Setup  
 > [!NOTE]
@@ -60,7 +60,7 @@ You can add the Microsoft Fabric tool to an agent programatically using the code
         :::image type="content" source="../../media/tools/fabric-foundry.png" alt-text="A screenshot showing the fabric connection in the Azure AI Foundry portal." lightbox="../../media/tools/fabric-foundry.png":::
 
 :::zone-end
-
+<!--
 :::zone pivot="python"
 
 ## Create a project client
@@ -148,6 +148,8 @@ print("Deleted agent")
 ```
 
 :::zone-end
+-->
+
 <!--
 :::zone pivot="csharp"
 
@@ -280,7 +282,7 @@ agentClient.Administration.DeleteAgent(agentId: agent.Id);
 
 ```
 :::zone-end
--->
+
 :::zone pivot="javascript"
 
 ## Create a project client
@@ -363,10 +365,13 @@ for await (const m of messagesIterator) {
 }
 ```
 :::zone-end
-
+-->
 :::zone pivot="rest"
 
-Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api#api-call-information) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
+Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api#api-call-information) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`. For `API_VERSION`, please make sure you are using `2025-05-15-preview`.
+> [!IMPORTANT]
+> The following samples are applicable if you are using **Azure AI Foundry Project** resource with Microsoft Fabric tool through REST API call
+> Your connection id should be in this format: `/subscriptions/<sub-id>/resourceGroups/<your-rg-name>/providers/Microsoft.CognitiveServices/accounts/<your-ai-services-name>/projects/<your-project-name>/connections/<your-fabric-connection-name>`
 
 ### Create an agent with the Microsoft Fabric tool enabled
 
@@ -385,7 +390,7 @@ curl --request POST \
             "fabric_dataagent": {
                 "connections": [
                     {
-                        "connection_id": "/subscriptions/<your-subscription-id>/resourceGroups/<your-resource-group>/providers/Microsoft.MachineLearningServices/workspaces/<your-project-name>/connections/<your-fabric-connection-name>"
+                        "connection_id": "/subscriptions/<sub-id>/resourceGroups/<your-rg-name>/providers/Microsoft.CognitiveServices/accounts/<your-ai-services-name>/projects/<your-project-name>/connections/<your-fabric-connection-name>"
                     }
                 ]
             }
diff --git a/zone-pivots/zone-pivot-groups.yml b/zone-pivots/zone-pivot-groups.yml
@@ -1081,10 +1081,6 @@ groups:
   pivots:
   - id: portal
     title: Azure AI Foundry portal
-  - id: javascript
-    title: JavaScript
-  - id: python
-    title: Python
   - id: rest
     title: REST API
 - id: selection-file-search-upload
@@ -1147,8 +1143,6 @@ groups:
   pivots:
   - id: portal
     title: Azure AI Foundry portal
-  - id: python
-    title: Python
   - id: rest
     title: REST API
 - id: selection-openapi-function
