Merge branch 'main' into release-sept-2025-search

Author: v-alje

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

@@ -464,7 +464,7 @@ for await (const m of messagesIterator) {
 
 :::zone pivot="rest"
 
-+ Completion of the [REST API quickstart](../../quickstart.md?pivots=rest-api#api-call-information) to get values for the `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT`, and `API_VERSION` environment variables.
++ Completion of the [REST API quickstart](../../quickstart.md?pivots=rest-api) to get values for the `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT`, and `API_VERSION` environment variables.
 
 ## Get the connection ID for the Azure AI Search resource
 

articles/ai-foundry/agents/how-to/tools/azure-functions-samples.md

@@ -176,7 +176,7 @@ For any issues with the Python code, create an issue on the [sample code reposit
 
 In the sample below we create a client and an agent that has the tools definition for the Azure Function
 
-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) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`. 
 
 ```bash
 curl --request POST \

articles/ai-foundry/agents/how-to/tools/bing-code-samples.md

@@ -423,7 +423,7 @@ if (!firstMessage.done && firstMessage.value) {
 >[!IMPORTANT]
 > 1. This REST API allows developers to invoke the Grounding with Bing Search tool through the Azure AI Foundry Agent Service. It does not send calls to the Grounding with Bing Search API directly. 
 
-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) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
 
 
 ## Create an Agent with the Grounding with Bing search tool enabled

articles/ai-foundry/agents/how-to/tools/bing-custom-search-samples.md

@@ -413,7 +413,7 @@ Create a run and observe that the model uses the Grounding with Bing Custom Sear
 > * 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`.
+Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
 
 
 ## Create an Agent with the Grounding with Bing Custom Search tool enabled

articles/ai-foundry/agents/how-to/tools/bing-custom-search.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-foundry
 ms.subservice: azure-ai-foundry-agent-service
 ms.topic: how-to
-ms.date: 08/15/2025
+ms.date: 09/26/2025
 author: aahill
 ms.author: aahi
 ms.custom: azure-ai-agents
@@ -40,7 +40,7 @@ The authorization will happen between Grounding with Bing Custom Search service
 
 Developers and end users don't have access to raw content returned from Grounding with Bing Custom Search. The model response, however, includes citations with links to the websites used to generate the response and is allowed to be stored using the mechanisms provided by the Agents Service. You can retrieve the model response by accessing the data in the thread that was created. These references must be retained and displayed in the exact form provided by Microsoft, as per Grounding with Bing Custom Search's Use and Display Requirements. 
 
- 
+Transactions with your Grounding with Bing resource are counted by the number of tool calls per run. You can see how many tool calls are made from the run step.
 
 ## Setup 
 

articles/ai-foundry/agents/how-to/tools/bing-grounding.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-foundry
 ms.subservice: azure-ai-foundry-agent-service
 ms.topic: how-to
-ms.date: 08/07/2025
+ms.date: 09/26/2025
 author: aahill
 ms.author: aahi
 ms.custom: azure-ai-agents
@@ -38,6 +38,8 @@ Grounding with Bing returns relevant search results to the customer's model depl
 
 The authorization will happen between Grounding with Bing Search service and Azure AI Foundry Agent Service. Any Bing search query that is generated and sent to Bing for the purposes of grounding is transferred, along with the resource key, outside of the Azure compliance boundary to the Grounding with Bing Search service. Grounding with Bing Search is subject to Bing's terms and do not have the same compliance standards and certifications as the Azure AI Foundry Agent Service, as described in the [Grounding with Bing Search Terms of Use](https://www.microsoft.com/bing/apis/grounding-legal). It is your responsibility to assess whether the use of Grounding with Bing Search in your agent meets your needs and requirements.
 
+Transactions with your Grounding with Bing resource are counted by the number of tool calls per run. You can see how many tool calls are made from the run step.
+
 ## Supported capabilities and known issues
 - Grounding with Bing Search tool is designed to retrieve real-time information from web, NOT specific web domains.
 - NOT Recommended to **summarize** an entire web page.

articles/ai-foundry/agents/how-to/tools/code-interpreter-samples.md

@@ -432,7 +432,7 @@ console.log(`Saved image file to: ${imageFileName}`);
 
 :::zone pivot="rest-api" 
 
-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) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
 
 ## Upload a file 
 

articles/ai-foundry/agents/how-to/tools/fabric.md

@@ -397,7 +397,7 @@ for await (const m of messagesIterator) {
 -->
 :::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`. For `API_VERSION`, make sure you are using `2025-05-15-preview`.
+Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`. For `API_VERSION`, 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>`

articles/ai-foundry/agents/how-to/tools/file-search-upload-files.md

@@ -470,7 +470,7 @@ console.log(`Deleted agent, agent ID: ${agent.id}`);
 
 To access your files, the file search tool uses the vector store object. Upload your files and create a vector store. After creating the vector store, poll its status until all files are out of the in_progress state to ensure that all content is fully processed. The SDK provides helpers for uploading and polling.
 
-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) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
 
 ### Upload a file
 

articles/ai-foundry/agents/how-to/tools/function-calling.md

@@ -586,7 +586,7 @@ Start by defining a function for your agent to call. When you create a function
 
 ## Create an agent
 
-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) to set the right values for the environment variables `AGENT_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
 
 ```bash
 curl --request POST \