Merge pull request #3252 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-ai-docs (branch main)

Author: Taojunshen

articles/ai-services/agents/how-to/tools/file-search.md

@@ -87,7 +87,7 @@ The maximum file size is 512 MB. Each file should contain no more than 5,000,000
 
 We highly recommend that you ensure all files in a vector_store are fully processed before you create a run. This ensures that all the data in your vector store is searchable. You can check for vector store readiness by using the polling helpers in the SDKs, or by manually polling the vector store object to ensure the status is completed.
 
-As a fallback, there's a 60-second maximum wait in the run object when the thread's vector store contains files that are still being processed. This is to ensure that any files your users upload in a thread a fully searchable before the run proceeds. This fallback wait does not apply to the agent's vector store.
+As a fallback, there's a 60-second maximum wait in the run object when the thread's vector store contains files that are still being processed. This is to ensure that any files your users upload in a thread are fully searchable before the run proceeds. This fallback wait does not apply to the agent's vector store.
 
 ## Add file search to an agent using the Azure AI Foundry portal
 

articles/ai-services/agents/includes/azure-search/code-examples.md

@@ -85,13 +85,19 @@ Get the connection ID of the Azure AI Search connection in the project. You can
 
 ```python
 # AI Search resource connection ID
-# This code prints out the connection ID of all the Azure AI Search connections in the project
-# If you have more than one AI search connection, make sure to select the correct one that contains the index you want to use.
-conn_list = project_client.connections.list()
+# This code looks for the AI Search Connection ID and saves it as variable conn_id
+
+# If you have more than one AI search connection, try to establish the value in your .env file.
+# Extract the connection list.
+conn_list = project_client.connections._list_connections()["value"]
 conn_id = ""
+
+# Search in the metadata field of each connection in the list for the azure_ai_search type and get the id value to establish the variable
 for conn in conn_list:
-    if conn.connection_type == "AZURE_AI_SEARCH":
-        print(f"Connection ID: {conn.id}")
+    metadata = conn["properties"].get("metadata", {})
+    if metadata.get("type", "").upper() == "AZURE_AI_SEARCH":
+        conn_id = conn["id"]
+        break
 ```
 # [C#](#tab/csharp)
 ```csharp
@@ -429,4 +435,4 @@ curl $AZURE_AI_AGENTS_ENDPOINT/threads/thread_abc123/messages?api-version=2024-1
   -H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
 ```
 
----
+---