Minor fixes in vanilla OTel tracing sample (#38194)

* Minor fixes in OTel tracing samples

Author: Liudmila Molkova

sdk/ai/azure-ai-inference/samples/sample_chat_completions_with_azure_monitor_tracing.py

@@ -22,7 +22,8 @@
         `your-azure-region` is the Azure region where your model is deployed.
     2) AZURE_AI_CHAT_KEY - Your model key (a 32-character string). Keep it secret.
     3) APPLICATIONINSIGHTS_CONNECTION_STRING - Your Azure Monitor (Application Insights) connection string.
-    4) AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED - Set to 'true' to enable content recording.
+    4) AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED - Optional. Set to 'true'
+        for detailed traces, including chat request and response messages.
 """
 
 

sdk/ai/azure-ai-inference/samples/sample_chat_completions_with_tracing.py

@@ -7,7 +7,7 @@
     This sample demonstrates how to use tracing with the Inference client library.
     Azure AI Inference is instrumented with OpenTelemetry. In order to enable tracing
     you need to configure OpenTelemetry to export traces to your observability backend.
-    This sample shows how to capture the traces to a file.
+    This sample shows how to print traces to stdout.
 
     This sample assumes the AI model is hosted on a Serverless API or
     Managed Compute endpoint. For GitHub Models or Azure OpenAI endpoints,
@@ -23,6 +23,8 @@
         where `your-deployment-name` is your unique AI Model deployment name, and
         `your-azure-region` is the Azure region where your model is deployed.
     2) AZURE_AI_CHAT_KEY - Your model key (a 32-character string). Keep it secret.
+    3) AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED - Optional. Set to 'true'
+        for detailed traces, including chat request and response messages.
 """