Merge pull request #2115 from MicrosoftDocs/main

12/23/2024 PM Publish

Author: Taojunshen

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

@@ -25,9 +25,9 @@ Tracing solves this by allowing you to clearly see the inputs and outputs of eac
 
 Tracing lets you analyze your agent's performance and behavior by using OpenTelemetry and adding an Application Insights resource to your Azure AI Foundry project. 
 
-To add an Application Insights resource, navigate to the **Tracing** tab in the [AI Foundry portal](https://ai.azure.com/), and create a new resource if you don't already have one.
+To add an Application Insights resource, navigate to the **Tracing** tab in the [Azure AI Foundry portal](https://ai.azure.com/), and create a new resource if you don't already have one.
 
-:::image type="content" source="../media/ai-foundry-tracing.png" alt-text="A screenshot of the tracing screen in the AI Foundry portal." lightbox="../media/ai-foundry-tracing.png":::
+:::image type="content" source="../media/ai-foundry-tracing.png" alt-text="A screenshot of the tracing screen in the Azure AI Foundry portal." lightbox="../media/ai-foundry-tracing.png":::
 
 Once created, you can get an Application Insights connection string, configure your agents, and observe the full execution path of your agent through Azure Monitor. Typically you want to enable tracing before you create an agent.
 
@@ -46,7 +46,7 @@ You will also need an exporter to send results to your observability backend. Yo
 pip install opentelemetry-exporter-otlp
 ```
 
-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 [AI Foundry portal](https://ai.azure.com/), in the **Tracing** tab in the left navigation menu for the portal.
+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/), in the **Tracing** tab in the left navigation menu for the portal.
 
 > [!NOTE]
 > 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.

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

@@ -49,7 +49,7 @@ from azure.ai.projects.models import FilePurpose
 from azure.identity import DefaultAzureCredential
 from pathlib import Path
 
-# Create an Azure AI Client from a connection string, copied from your AI Foundry project.
+# Create an Azure AI Client from a connection string, copied from your Azure AI Foundry project.
 # At the moment, it should be in the format "<HostName>;<AzureSubscriptionId>;<ResourceGroup>;<HubName>"
 # Customer needs to login to Azure subscription via Azure CLI and set the environment variables
 project_client = AIProjectClient.from_connection_string(

articles/ai-services/agents/includes/connection-string-portal.md

@@ -8,5 +8,5 @@ ms.date: 12/11/2024
 ---
 
 > [!TIP]
-> You can also find your connection string in the **overview** for your project in the [AI Foundry portal](https://ai.azure.com/), under **Project details** > **Project connection string**.
+> You can also find your connection string in the **overview** for your project in the [Azure AI Foundry portal](https://ai.azure.com/), under **Project details** > **Project connection string**.
 > :::image type="content" source="../media/quickstart/portal-connection-string.png" alt-text="A screenshot showing the connection string in the Azure AI Foundry portal." lightbox="../media/quickstart/portal-connection-string.png":::

articles/ai-services/includes/quickstarts/ai-studio-prerequisites.md

@@ -11,4 +11,4 @@ ms.author: eur
 
 > [!div class="checklist"]
 > - Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
-> - Some Azure AI services features are free to try in the Azure AI Foundry portal. For access to all capabilities described in this article, you need to [connect AI services in AI Foundry](../../../ai-studio/ai-services/how-to/connect-ai-services.md). 
+> - Some Azure AI services features are free to try in the Azure AI Foundry portal. For access to all capabilities described in this article, you need to [connect AI services in Azure AI Foundry](../../../ai-studio/ai-services/how-to/connect-ai-services.md). 

articles/ai-services/language-service/includes/use-language-studio.md

@@ -11,4 +11,4 @@ ms.custom: include, ignite-2024
 ---
 
 > [!TIP]
-> You can use [**AI Foundry**](../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 
+> You can use [**Azure AI Foundry**](../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 

articles/ai-services/language-service/personally-identifiable-information/includes/use-language-studio.md

@@ -9,4 +9,4 @@ ms.custom: include, ignite-2024
 ---
 
 > [!TIP]
-> You can use [**AI Foundry**](../../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 
+> You can use [**Azure AI Foundry**](../../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 

articles/ai-services/language-service/personally-identifiable-information/overview.md

@@ -25,7 +25,7 @@ The Conversational PII detection models (both version `2024-11-01-preview` and `
 As of June 2024, we now provide General Availability support for the Conversational PII service (English-language only). Customers can now redact transcripts, chats, and other text written in a conversational style (i.e. text with “um”s, “ah”s, multiple speakers, and the spelling out of words for more clarity) with better confidence in AI quality, Azure SLA support and production environment support, and enterprise-grade security in mind.
 
 > [!TIP]
-> Try out PII detection [in AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md)
+> Try out PII detection [in Azure AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new Azure AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md)
 
 * [**Quickstarts**](quickstart.md) are getting-started instructions to guide you through making requests to the service.
 * [**How-to guides**](how-to-call.md) contain instructions for using the service in more specific or customized ways.

articles/ai-services/language-service/summarization/includes/use-language-studio.md

@@ -11,4 +11,4 @@ ms.custom: include, build-2024, ignite-2024
 ---
 
 > [!TIP]
-> You can use [**AI Foundry**](../../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 
+> You can use [**Azure AI Foundry**](../../../../ai-studio/what-is-ai-studio.md) to try summarization without needing to write code. 

articles/ai-services/language-service/summarization/overview.md

@@ -22,7 +22,7 @@ Use this article to learn more about this feature, and how to use it in your app
 Out of the box, the service provides summarization solutions for three types of genre, plain texts, conversations, and native documents. Text summarization only accepts plain text blocks, and conversation summarization accept conversational input, including various speech audio signals in order for the model to effectively segment and summarize, and native document can directly summarize for documents in their native formats, such as Words, PDF, etc. 
 
 > [!TIP]
-> Try out Summarization [in AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md) in order to use this service. 
+> Try out Summarization [in Azure AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new Azure AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md) in order to use this service. 
 
 # [Text summarization](#tab/text-summarization)
 

articles/ai-services/language-service/text-analytics-for-health/overview.md

@@ -19,7 +19,7 @@ ms.custom: language-service-health, ignite-2024
 Text Analytics for health is one of the prebuilt features offered by [Azure AI Language](../overview.md). It is a cloud-based API service that applies machine-learning intelligence to extract and label relevant medical information from a variety of unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records. 
 
 > [!TIP]
-> Try out Text Analytics for health [in AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md) in order to use this service. 
+> Try out Text Analytics for health [in Azure AI Foundry portal](https://ai.azure.com/explore/language), where you can [utilize a currently existing Language Studio resource or create a new Azure AI Foundry resource](../../../ai-studio/ai-services/connect-ai-services.md) in order to use this service. 
 
 This documentation contains the following types of articles:
 * The [**quickstart article**](quickstart.md) provides a short tutorial that guides you with making your first request to the service.