fixing links

Author: aahill

articles/ai-foundry/agents/concepts/agent-catalog.md

@@ -20,7 +20,7 @@ With agents you create using these code samples, be sure to assess safety and le
 ## Prerequisites
 
 - [Azure subscription](https://azure.microsoft.com/free)
-- An [Azure AI Foundry project](..\..\how-to\create-projects.md).
+- An [Azure AI Foundry project](../../how-to\create-projects.md).
 
 ## Find the Agent Catalog in the Azure AI Foundry portal
 
@@ -29,7 +29,7 @@ With agents you create using these code samples, be sure to assess safety and le
 1. On the left pane, select **Agents**.
 1. Near the top of the screen, select **Catalog**. Find the code sample you want to use.
 
-    :::image type="content" source="..\media\agent-catalog.png" alt-text="A screenshot of the model catalog." lightbox="..\media\agent-catalog.png":::
+    :::image type="content" source="../media\agent-catalog.png" alt-text="A screenshot of the model catalog." lightbox="../media\agent-catalog.png":::
 
 1. Select **Open in Github** to view the entire sample application.
 

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

@@ -93,4 +93,4 @@ The model can now be referenced in your code (`Target URI` + `@` + `Model Name`)
 
 ## Next steps
 
-[Create a new Agent project](..\quickstart.md)
+[Create a new Agent project](../quickstart.md)

articles/ai-foundry/agents/concepts/threads-runs-messages.md

@@ -26,7 +26,7 @@ When you use an Agent, there are a series of steps that are involved.
 - **Check the run status:** Monitor the run until it has completed. 
 - **Getting the response:** After the agent has created a response, display it to the user.
 
-:::image type="content" source="..\media\run-thread-model.png" alt-text="A diagram showing an example of an agent run." lightbox="..\media\run-thread-model.png":::
+:::image type="content" source="../media\run-thread-model.png" alt-text="A diagram showing an example of an agent run." lightbox="../media\run-thread-model.png":::
 
 ## Agent
 
@@ -46,4 +46,4 @@ A run involves invoking the agent on the thread, where it processes the messages
 
 ## Next steps
 
-* [Quickstart: create an agent](..\quickstart.md)
+* [Quickstart: create an agent](../quickstart.md)

articles/ai-foundry/agents/how-to/connected-agents.md

@@ -85,7 +85,7 @@ Checks the contract against internal standards or uploaded guidelines to identif
 2. Select an existing agent from the list or create a new one.
 3. Scroll down to the **Connected agents** section in the agent's setup panel and select **Add +**.
 
-:::image type="content" source="..\media\connected-agents\connected-agents-foundry.png" alt-text="A screenshot of the agents page in the Azure AI Foundry." lightbox="..\media\connected-agents\connected-agents-foundry.png":::
+:::image type="content" source="../media\connected-agents\connected-agents-foundry.png" alt-text="A screenshot of the agents page in the Azure AI Foundry." lightbox="../media\connected-agents\connected-agents-foundry.png":::
 
 4. In the dialog that appears, choose an agent for the main agent to delegate tasks to, and describe:
    - Select an **existing agent** from the dropdown. This is the connected agent that the main agent will delegate tasks to.
@@ -100,7 +100,7 @@ Checks the contract against internal standards or uploaded guidelines to identif
 
     The `research_agent` should delegate this request to `stock_price_bot` based on the routing description you defined.
 
-:::image type="content" source="..\media\connected-agents\connected-agents-foundry-2.png" alt-text="A screenshot of the connected agents screen" lightbox="..\media\connected-agents\connected-agents-foundry-2.png":::
+:::image type="content" source="../media\connected-agents\connected-agents-foundry-2.png" alt-text="A screenshot of the connected agents screen" lightbox="../media\connected-agents\connected-agents-foundry-2.png":::
 
 ::: zone-end
 

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

@@ -44,7 +44,7 @@ You can specify the search type for your index by choosing one of the following
 
 ### Prerequisite: Have an existing Azure AI Search index
 A prerequisite of using the Azure AI Search tool is to have an existing Azure AI Search index. If you don't have an existing index, you can create one in the Azure portal using the import and vectorize data wizard.
--  [Quickstart: Create a vector index with the import and vectorize data wizard in the Azure portal](..\..\..\..\search\search-get-started-portal-import-vectors.md)
+-  [Quickstart: Create a vector index with the import and vectorize data wizard in the Azure portal](../../../../search\search-get-started-portal-import-vectors.md)
 
 ### Create a project connection to the Azure AI Search resource with the index you want to use
 Once you have completed the agent setup, you must create a project connection to the Azure AI Search resource that contains the index you want to use. 
@@ -56,13 +56,13 @@ If you already connected the AI Search resource that contains the index you want
      - In the Azure portal, navigate to the AI Search resource that contains the index you want to use. 
 2. Copy the connection endpoint.
     - In the Overview tab, copy the URL of your resource. The URL should be in the format `https://<your-resource-name>.search.windows.net/`.
-     :::image type="content" source="..\..\media\tools\ai-search\connection-endpoint.png" alt-text="A screenshot of an AI Search resource Overview tab in the Azure portal." lightbox="..\..\media\tools\ai-search\connection-endpoint.png":::
+     :::image type="content" source="../../media\tools\ai-search\connection-endpoint.png" alt-text="A screenshot of an AI Search resource Overview tab in the Azure portal." lightbox="../../media\tools\ai-search\connection-endpoint.png":::
 
 3. Verify API Access control is set to **Both** and copy one of the keys under **Manage admin keys**. 
     - From the left-hand navigation bar, scroll down to the Settings section and select **Keys**. 
     - Under the **API Access Control** section, ensure the option **Both** API key and Role-based access control is selected.
     - If you want the connection to use API Keys for authentication, copy one of the keys under **Manage admin keys**.
-    :::image type="content" source="..\..\media\tools\ai-search\azure-portal.png" alt-text="A screenshot of an AI Search resource Keys tab in the Azure portal." lightbox="..\..\media\tools\ai-search\azure-portal.png":::
+    :::image type="content" source="../../media\tools\ai-search\azure-portal.png" alt-text="A screenshot of an AI Search resource Keys tab in the Azure portal." lightbox="../../media\tools\ai-search\azure-portal.png":::
 
 #### Create an Azure AI Search project connection
 If you use Microsoft Entra ID for the connection authentication type, you need to manually assign the project managed identity the roles Search Index Data Contributor and Search Service Contributor to the Azure AI Search resource. The connection **name** must be the AI Search **index** name. 
@@ -72,7 +72,7 @@ If you use Microsoft Entra ID for the connection authentication type, you need t
 **Create the following connections.yml file**
 
 
-You can use either an API key or credential-less YAML configuration file. Replace the placeholders for ```name```, ```endpoint``` and ```api_key``` with your Azure AI Search resource values. For more information on the YAML configuration file, see the [Azure AI Search connection YAML schema](..\..\..\..\machine-learning\reference-yaml-connection-ai-search.md). 
+You can use either an API key or credential-less YAML configuration file. Replace the placeholders for ```name```, ```endpoint``` and ```api_key``` with your Azure AI Search resource values. For more information on the YAML configuration file, see the [Azure AI Search connection YAML schema](../../../../machine-learning\reference-yaml-connection-ai-search.md). 
 - API Key example:
 
     ```yml
@@ -115,19 +115,19 @@ ml_client.connections.create_or_update(my_connection)
 
 # [Azure AI Foundry](#tab/azureaifoundry)
 1. In Azure AI Foundry, navigate to the project you created in the agent setup. Click on **Open in management center**.
-    :::image type="content" source="..\..\media\tools\ai-search\project-studio.png" alt-text="A screenshot of a project in Azure AI Foundry." lightbox="..\..\media\tools\ai-search\project-studio.png":::
+    :::image type="content" source="../../media\tools\ai-search\project-studio.png" alt-text="A screenshot of a project in Azure AI Foundry." lightbox="../../media\tools\ai-search\project-studio.png":::
 
 2. Click on the **Connections** tab and select **Add Connection**.
- :::image type="content" source="..\..\media\tools\ai-search\project-connections-page.png" alt-text="A screenshot of the project connections page." lightbox="..\..\media\tools\ai-search\project-connections-page.png":::
+ :::image type="content" source="../../media\tools\ai-search\project-connections-page.png" alt-text="A screenshot of the project connections page." lightbox="../../media\tools\ai-search\project-connections-page.png":::
 
 3. Select **Azure AI Search**.
- :::image type="content" source="..\..\media\tools\ai-search\select.png" alt-text="A screenshot of the Azure AI Search connection type the user should select." lightbox="..\..\media\tools\ai-search\select.png":::
+ :::image type="content" source="../../media\tools\ai-search\select.png" alt-text="A screenshot of the Azure AI Search connection type the user should select." lightbox="../../media\tools\ai-search\select.png":::
 
 4. Provide the required connection details for the Azure AI Search resource you want to use. Both Managed Identity and Key-based authentication are supported. Once all the fields are filled in, click **Add connection**.
-:::image type="content" source="..\..\media\tools\ai-search\connection-2.png" alt-text="A screenshot the required fields to add a new Azure AI Search connection." lightbox="..\..\media\tools\ai-search\connection-2.png":::
+:::image type="content" source="../../media\tools\ai-search\connection-2.png" alt-text="A screenshot the required fields to add a new Azure AI Search connection." lightbox="../../media\tools\ai-search\connection-2.png":::
 
 5. Verify that the connection was successfully created and now appears in the project's Connections tab.
-:::image type="content" source="..\..\media\tools\ai-search\success-connection.png" alt-text="A screenshot of the project connections page with a new Azure AI Search connection added." lightbox="..\..\media\tools\ai-search\success-connection.png":::
+:::image type="content" source="../../media\tools\ai-search\success-connection.png" alt-text="A screenshot of the project connections page with a new Azure AI Search connection added." lightbox="../../media\tools\ai-search\success-connection.png":::
 ---
 
 Now that you have created a project connection to your Azure AI Search resource, you can configure and start using the Azure AI Search tool with the SDK. See the code examples tab to get started.
@@ -139,11 +139,11 @@ You can add the Azure AI Search tool to an agent programmatically using the code
 
 1. In the **Agents** screen for your agent, scroll down the **Setup** pane on the right to **knowledge**. Then select **Add**.
 
-    :::image type="content" source="..\..\media\tools\knowledge-tools.png" alt-text="A screenshot showing the available tool categories in the Azure AI Foundry portal." lightbox="..\..\media\tools\knowledge-tools.png":::
+    :::image type="content" source="../../media\tools\knowledge-tools.png" alt-text="A screenshot showing the available tool categories in the Azure AI Foundry portal." lightbox="../../media\tools\knowledge-tools.png":::
 
 1. Select **Azure AI Search** and follow the prompts to add the tool. 
 
-    :::image type="content" source="..\..\media\tools\knowledge-tools-list.png" alt-text="A screenshot showing the available knowledge tools in the Azure AI Foundry portal." lightbox="..\..\media\tools\knowledge-tools-list.png":::
+    :::image type="content" source="../../media\tools\knowledge-tools-list.png" alt-text="A screenshot showing the available knowledge tools in the Azure AI Foundry portal." lightbox="../../media\tools\knowledge-tools-list.png":::
 
 ## Next steps
 

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

@@ -29,19 +29,19 @@ Use this article to find step-by-step instructions and code samples for Groundin
 
 1. In the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs) navigate to the **Agents** screen for your agent, scroll down the **Setup** pane on the right to **knowledge**. Then select **Add**.
 
-    :::image type="content" source="..\..\media\tools\knowledge-tools.png" alt-text="A screenshot showing the available tool categories in the Azure AI Foundry portal." lightbox="..\..\media\tools\knowledge-tools.png":::
+    :::image type="content" source="../../media\tools\knowledge-tools.png" alt-text="A screenshot showing the available tool categories in the Azure AI Foundry portal." lightbox="../../media\tools\knowledge-tools.png":::
 
 1. Select **Grounding with Bing Search** and follow the prompts to add the tool. Note you can add only one per agent.
 
-    :::image type="content" source="..\..\media\tools\knowledge-tools-list.png" alt-text="A screenshot showing the available knowledge tools in the Azure AI Foundry portal." lightbox="..\..\media\tools\knowledge-tools-list.png":::
+    :::image type="content" source="../../media\tools\knowledge-tools-list.png" alt-text="A screenshot showing the available knowledge tools in the Azure AI Foundry portal." lightbox="../../media\tools\knowledge-tools-list.png":::
 
 1. Click to add new connections. Once you have added a connection, you can directly select from existing list.
 
-   :::image type="content" source="..\..\media\tools\bing\choose-bing-connection.png" alt-text="A screenshot showing the button for creating a new connection." lightbox="..\..\media\tools\bing\choose-bing-connection.png":::
+   :::image type="content" source="../../media\tools\bing\choose-bing-connection.png" alt-text="A screenshot showing the button for creating a new connection." lightbox="../../media\tools\bing\choose-bing-connection.png":::
 
 1. Select the Grounding with Bing Search resource you want to use and click to add connection. 
 
-   :::image type="content" source="..\..\media\tools\bing\create-bing-connection.png" alt-text="A screenshot showing available Grounding with Bing Search connections." lightbox="..\..\media\tools\bing\create-bing-connection.png":::
+   :::image type="content" source="../../media\tools\bing\create-bing-connection.png" alt-text="A screenshot showing available Grounding with Bing Search connections." lightbox="../../media\tools\bing\create-bing-connection.png":::
 
 ::: zone-end
 

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

@@ -46,7 +46,7 @@ Developers and end users don't have access to raw content returned from Groundin
 > [!NOTE]
 > You can only use Azure OpenAI models with Grounding with Bing Custom Search.
 
-1. Create an Azure AI Agent by following the steps in the [quickstart](..\..\quickstart.md). 
+1. Create an Azure AI Agent by following the steps in the [quickstart](../../quickstart.md). 
 
 1. Create a Grounding with Bing Custom Search resource in the [Azure portal](https://portal.azure.com/#create/Microsoft.BingGroundingCustomSearch). You need to have owner or contributor role in your subscription or resource group to create it. Make sure you create this Grounding with Bing Custom Search resource in the same resource group as your Azure AI Agent, AI Project, and other resources. 
 
@@ -85,7 +85,7 @@ When you create or update a configuration, enter the following information:
 
 1. Navigate to the **Agents** screen for your agent in the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs), scroll down the Setup pane on the right to **knowledge**. Then select **Add**.
 
-    :::image type="content" source="..\..\media\tools\knowledge-tools.png" alt-text="A screenshot of the agents screen in the AI Foundry portal.":::
+    :::image type="content" source="../../media\tools\knowledge-tools.png" alt-text="A screenshot of the agents screen in the AI Foundry portal.":::
 
 1. Select the **Grounding with Bing Custom Search** tool.  
 

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

@@ -53,15 +53,15 @@ The authorization will happen between Grounding with Bing Search service and Azu
 ## Setup  
 
 > [!NOTE]
-> 1. Grounding with Bing Search works with [all Azure OpenAI models](..\..\concepts\model-region-support.md) that Azure AI Foundry Agent Service supports, except `gpt-4o-mini, 2024-07-18`. 
+> 1. Grounding with Bing Search works with [all Azure OpenAI models](../../concepts\model-region-support.md) that Azure AI Foundry Agent Service supports, except `gpt-4o-mini, 2024-07-18`. 
 
-1. Create an Azure AI Agent by following the steps in the [quickstart](..\..\quickstart.md).
+1. Create an Azure AI Agent by following the steps in the [quickstart](../../quickstart.md).
 
 1. Create a Grounding with Bing Search resource. You need to have `owner` or `contributor` role in your subscription or resource group to create it.
 
    1. You can create one in the [Azure portal](https://portal.azure.com/#create/Microsoft.BingGroundingSearch), and select the different fields in the creation form. Make sure you create this Grounding with Bing Search resource in the same resource group as your Azure AI Agent, AI Project, and other resources.
 
-    :::image type="content" source="..\..\media\tools\bing\resource-selection.png" alt-text="A screenshot of the Bing resource selection in the Azure portal." lightbox="..\..\media\tools\bing\resource-selection.png":::
+    :::image type="content" source="../../media\tools\bing\resource-selection.png" alt-text="A screenshot of the Bing resource selection in the Azure portal." lightbox="../../media\tools\bing\resource-selection.png":::
 
    1. You can also create one through code-first experience. If so, you need to manually [register](/azure/azure-resource-manager/management/resource-providers-and-types#register-resource-provider) Bing Search as an Azure resource provider. You must have permission to perform the `/register/action` operation for the resource provider. The permission is included in the **Contributor** and **Owner** roles.
 
@@ -71,7 +71,7 @@ The authorization will happen between Grounding with Bing Search service and Azu
 
 1. After you have created a Grounding with Bing Search resource, you can find it in [Azure portal](https://portal.azure.com/#home). Navigate to the resource group you've created the resource in, search for the Grounding with Bing Search resource you have created.
 
-    :::image type="content" source="..\..\media\tools\bing\resource-azure-portal.png" alt-text="A screenshot of the Bing resource in the Azure portal." lightbox="..\..\media\tools\bing\resource-azure-portal.png":::
+    :::image type="content" source="../../media\tools\bing\resource-azure-portal.png" alt-text="A screenshot of the Bing resource in the Azure portal." lightbox="../../media\tools\bing\resource-azure-portal.png":::
 
 ## Optional parameters
 
@@ -94,7 +94,7 @@ run_steps_data = run_steps['data']
 print(f"Last run step detail: {run_steps_data}")
 ```
 
-:::image type="content" source="..\..\media\tools\bing\website-citations.png" alt-text="A screenshot showing citations for Bing search results." lightbox="..\..\media\tools\bing\website-citations.png":::
+:::image type="content" source="../../media\tools\bing\website-citations.png" alt-text="A screenshot showing citations for Bing search results." lightbox="../../media\tools\bing\website-citations.png":::
 
 
 ## Next steps

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

@@ -21,7 +21,7 @@ Code Interpreter allows the agents to write and run Python code in a sandboxed e
 
 ### Supported models
 
-The [models page](..\..\quotas-limits.md) contains the most up-to-date information on regions/models where agents and code interpreter are supported.
+The [models page](../../quotas-limits.md) contains the most up-to-date information on regions/models where agents and code interpreter are supported.
 
 We recommend using Agents with the latest models to take advantage of the new features, larger context windows, and more up-to-date training data.