Merge pull request #5305 from MicrosoftDocs/main

5/30/2025 AM Publish

Author: Taojunshen

articles/ai-foundry/how-to/develop/trace-application.md

@@ -242,7 +242,7 @@ For more information on how to send Azure AI Inference traces to Azure Monitor a
 ## Related content
 
 - [Python samples](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-inference/samples/sample_chat_completions_with_tracing.py) containing fully runnable Python code for tracing using synchronous and asynchronous clients.
-- [Sample Agents with Console tracing](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_functions_with_console_tracing.py)
-- [Sample Agents with Azure Monitor](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_basics_with_azure_monitor_tracing.py)
+- [Sample Agents with Console tracing](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-agents/samples/agents_telemetry/sample_agents_basics_async_with_console_tracing.py)
+- [Sample Agents with Azure Monitor](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)
 - [JavaScript samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/ai/ai-inference-rest/samples/v1-beta/typescript/src) containing fully runnable JavaScript code for tracing using synchronous and asynchronous clients.
 - [C# Samples](https://github.com/Azure/azure-sdk-for-net/blob/Azure.AI.Inference_1.0.0-beta.2/sdk/ai/Azure.AI.Inference/samples/Sample8_ChatCompletionsWithOpenTelemetry.md) containing fully runnable C# code for doing inference using synchronous and asynchronous methods.

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

@@ -81,11 +81,11 @@ Once you have the packages installed, you can use one the following Python sampl
 
 
 **Using Azure Monitor**
-* [Basic agent example](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_basics_with_azure_monitor_tracing.py)  
-* [Agent example with function calling](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_functions_with_azure_monitor_tracing.py)
-* [Example with a stream event handler](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_stream_eventhandler_with_azure_monitor_tracing.py)
+* [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)  
+* [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)
+* [Example with a stream event handler](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-agents/samples/agents_telemetry/sample_agents_stream_eventhandler_with_azure_monitor_tracing.py)
 
 **Using console tracing**
-* [Basic agent example](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_basics_with_console_tracing.py)
-* [Agent example with function calling](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_functions_with_console_tracing.py)
-* [Example with a stream event handler](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/agents/sample_agents_stream_eventhandler_with_console_tracing.py)
+* [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_console_tracing.py)
+* [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_console_tracing.py)
+* [Example with a stream event handler](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-agents/samples/agents_telemetry/sample_agents_stream_eventhandler_with_console_tracing.py)

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

@@ -17,7 +17,7 @@ ms.custom: azure-ai-agents
 Code Interpreter allows the agents to write and run Python code in a sandboxed execution environment. With Code Interpreter enabled, your agent can run code iteratively to solve more challenging code, math, and data analysis problems. When your Agent writes code that fails to run, it can iterate on this code by modifying and running different code until the code execution succeeds.
 
 > [!IMPORTANT]
-> Code Interpreter has [additional charges](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) beyond the token based fees for Azure OpenAI usage. If your Agent calls Code Interpreter simultaneously in two different threads, two code interpreter sessions are created. Each session is active by default for one hour.
+> Code Interpreter has [additional charges](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) beyond the token based fees for Azure OpenAI usage. If your Agent calls Code Interpreter simultaneously in two different threads, two code interpreter sessions are created. Each session is active by default for 1 hour with an idle timeout of 30 minutes.
 
 ### Supported models
 

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

@@ -36,7 +36,7 @@ You need to first build and publish a Fabric data agent and then connect your Fa
 ## Setup  
 > [!NOTE]
 > * The model you selected in Azure AI Foundry Agent setup is only used for agent orchestration and response generation. It doesn't impact which model Fabric data agent uses for NL2SQL operation.
-> * To help your model invoke your Microsoft Fabric tool in the expected way, please make sure you update agent instructions with descriptions of your Fabric data agent and what data it has access to. An example is "for customer and product sales related data, please use the Fabric tool"
+> * To help your model invoke your Microsoft Fabric tool in the expected way, please make sure you update agent instructions with descriptions of your Fabric data agent and what data it has access to. An example is "for customer and product sales related data, please use the Fabric tool". We recommend using a smaller AI model such as `gpt-4o-mini`. You can also use `tool_choice` parameter in SDK or API to force Fabric tool to be invoked at each run. 
 
 1. Create an Azure AI Foundry Agent by following the steps in the [quickstart](../../quickstart.md).
 

articles/ai-services/agents/how-to/triggers.md

@@ -26,7 +26,6 @@ To check if a specific connector has a trigger capability, view its documentatio
 ## Prerequisites
 
 * [An existing agent](../quickstart.md)
-* Supported Logic Apps regions: `west us 2`, `west central us`, `east asia`, and `southeast asia`.
 
 ## Set up 
 

articles/ai-services/content-understanding/concepts/analyzer-templates.md

@@ -14,7 +14,7 @@ ms.date: 05/19/2025
 
 Content Understanding analyzer templates give you a head start in developing your Content Understanding solution by allowing you to build your analyzer without creating schemas from scratch.
 There are analyzer templates specific to common scenarios in each modality, such as call center audio analytics and advertising analysis for videos. Templates are also fully customizable, allowing you to adjust any
-fields in the schemas to better fit your needs. Learn more about the analyzer templates offered for each modality by viewing the following tabs.
+fields in the schemas to better fit your needs. Learn more about the analyzer templates offered for each modality by viewing the following tabs. Templates are only offered for Content Understanding Standard mode.
 
 ## Modality templates
 
@@ -27,7 +27,7 @@ The following analyzer templates are available for use in the [Azure AI Foundry
 |Document analysis |Analyze documents to extract text, layout, structured fields, and more.|
 |Invoice analysis |Analyze invoice as prebuilt template and extract structured fields and tables.|
 
-   :::image type="content" source="../media/analyzer-template/scenario-template-document.png" alt-text="Screenshot of document analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/document-analyzers.png" alt-text="Screenshot of document analyzer template.":::
 
 # [Image](#tab/image)
 
@@ -37,28 +37,29 @@ The following analyzer templates are available for use in the [Azure AI Foundry
 |Retail inventory management |Retail inventory management for monitoring of products on shelves.|
 |Defect detection |Identify potential defects in provided images of metal plates.|
 
-   :::image type="content" source="../media/analyzer-template/image-templates.png" alt-text="Screenshot of image analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/image-analyzers.png" alt-text="Screenshot of image analyzer template.":::
 
 # [Audio](#tab/audio)
 
 |Template| Description|
 | ----|----|----|
-|Audio transcription |Transcribe audio recordings.|
+|Speech transcription analysis |Analyze audio recordings to extract transcripts and structured fields.|
 |Conversation summarization |Transcribe conversations and extract summaries.|
 |Post call analytics |Analyze call center conversations to extract transcripts, summaries, sentiment, and more.|
 
 
-   :::image type="content" source="../media/analyzer-template/audio-templates.png" alt-text="Screenshot of audio analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/audio-analyzers.png" alt-text="Screenshot of audio analyzer template.":::
 
 # [Video](#tab/video)
 
 |Template| Description|
 | ----|----|----|
-|Video shot analysis |Analyze videos to extract transcript and structured fields for each shot.|
+|Video analysis |Analyze videos to extract the transcript and structured fields for the whole video.|
+|Video segment analysis |Analyze videos to extract the transcript and structured fields for each segment in the video.|
 |Media asset management |Extract structured information from marketing videos, news content, broadcast media, television episodes, and film archives.|
 |Advertising |Advertising analysis and moderation.|
 
 
-   :::image type="content" source="../media/analyzer-template/video-templates.png" alt-text="Screenshot of video analyzer template.":::
+   :::image type="content" source="../media/analyzer-template/video-analyzers.png" alt-text="Screenshot of video analyzer template.":::
 
 ---