Skip to content

Commit ebf24ba

Browse files
Merge pull request #6544 from MicrosoftDocs/main
Auto Publish – main to live - 2025-08-12 22:07 UTC
2 parents 5a62a95 + 4abb146 commit ebf24ba

25 files changed

+124
-110
lines changed

articles/ai-foundry/agents/concepts/tracing.md

Lines changed: 0 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -76,10 +76,6 @@ pip install opentelemetry-exporter-otlp
7676

7777
Once you have the packages installed, you can use one the following Python samples to implement tracing with your agents. Samples that use console tracing display the results locally in the console. Samples that use Azure Monitor send the traces to the Azure Monitor in the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs), in the **Observability** tab in the left pane for the portal.
7878

79-
> [!NOTE]
80-
> There is a known bug in the agents tracing functionality. The bug will cause the agent's function tool to call related info (function names and parameter values, which could contain sensitive information) to be included in the traces even when content recording is not enabled.
81-
82-
8379
**Using Azure Monitor**
8480
* [Basic agent example](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-agents/samples/agents_telemetry/sample_agents_basics_with_azure_monitor_tracing.py)
8581
* [Agent example with tools](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-agents/samples/agents_telemetry/sample_agents_toolset_with_azure_monitor_tracing.py)

articles/ai-foundry/agents/how-to/tools/browser-automation-samples.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,7 @@ services: azure-ai-agent-service
66
manager: nitinme
77
ms.service: azure-ai-agent-service
88
ms.topic: how-to
9-
ms.date: 08/08/2025
9+
ms.date: 08/12/2025
1010
author: aahill
1111
ms.author: aahi
1212
ms.custom: azure-ai-agents
@@ -33,7 +33,7 @@ Use this article to find step-by-step instructions and code samples for using th
3333
pip install azure-identity
3434
```
3535
* The **contributor** role assigned to your AI Foundry project from within your Playwright workplace.
36-
* Your playwright connection ID. You can find it in the Azure AI Foundry portal by selecting **Management center** from the left navigation menu. Then select **Connected resources**. The URL should start with `https://` instead of `wss://` if presented.
36+
* Your playwright connection ID. You can find it in the Azure AI Foundry portal by selecting **Management center** from the left navigation menu. Then select **Connected resources**. The URI should start with `wss://` instead of `https://` if presented.
3737
3838
<!--
3939
:::image type="content" source="../../media/tools/deep-research/bing-resource-name.png" alt-text="A screenshot showing the Playwright connection. " lightbox="../../media/tools/deep-research/bing-resource-name.png":::

articles/ai-foundry/agents/how-to/tools/browser-automation.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,7 @@ services: cognitive-services
66
manager: nitinme
77
ms.service: azure-ai-agent-service
88
ms.topic: how-to
9-
ms.date: 07/28/2025
9+
ms.date: 08/12/2025
1010
author: aahill
1111
ms.author: aahi
1212
ms.custom: azure-ai-agents
@@ -59,7 +59,7 @@ An example flow would be:
5959

6060
1. Create a new **Serverless Model** connection, and enter the following information.
6161

62-
* **Target URI**: The Playwright workspace region endpoint, for example `wss://{region}.api.playwright.microsoft.com/playwrightworkspaces/{workspaceId}/browsers`.
62+
* **Target URI**: The Playwright workspace region endpoint, for example `wss://{region}.api.playwright.microsoft.com/playwrightworkspaces/{workspaceId}/browsers`. The URI should start with `wss://` instead of `https://` if presented.
6363

6464
For more information on getting this value, see the [PlayWright documentation](https://aka.ms/pww/docs/configure-service-endpoint)
6565

articles/ai-foundry/how-to/access-on-premises-resources.md

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -82,6 +82,8 @@ Follow the [Quickstart: Direct web traffic using the portal](/azure/application-
8282
- Resource name: The name of your Application Gateway resource.
8383
- Sub resource: `appGwPrivateFrontendIpIPv4`
8484
- FQDNs: These FQDNs are the aliases that you want to use inside the Azure AI Foundry portal. They're resolved to the managed private endpoint's private IP address targeting Application Gateway. You might include multiple FQDNs depending on how many resources you would like to connect to with the Application Gateway.
85+
- All Added FQDNs will have the same IP address for the targeted Application Gateway.
86+
- The IP address is within the managed VNET range, not the customer's VNET range.
8587

8688
> [!NOTE]
8789
> - If you're using HTTPS listener with certificate uploaded, make sure the FQDN alias matches with the certificate's CN (Common Name) or SAN (Subject Alternative Name) otherwise HTTPS call fails with SNI (Server Name Indication).

articles/ai-foundry/how-to/costs-plan-manage.md

Lines changed: 43 additions & 43 deletions
Large diffs are not rendered by default.
3.52 KB
Loading
30.6 KB
Loading
-7.97 KB
Loading
-4.95 KB
Loading

0 commit comments

Comments
 (0)