Merge pull request #1998 from fosteramanda/release-azure-agents

Release azure agents

Author: prmerger-automator[bot]

articles/ai-services/agents/includes/azure-search/setup.md

@@ -39,6 +39,7 @@ If you already connected the AI Search resource that contains the index you want
     :::image type="content" source="../../media/tools/ai-search/azure-portal.png" alt-text="A screenshot of an AI Search resource Keys tab in the Azure portal." lightbox="../../media/tools/ai-search/azure-portal.png":::
 
 ##### Create an Azure AI Search project connection
+If you use Microsoft Entra ID for the connection authentication type, you need to manually assign the project managed identity the roles Search Index Data Contributor and Search Service Contributor to the Azure AI Search resource.
 
 # [Azure CLI](#tab/azurecli)
 **Create the following connections.yml file**
@@ -102,3 +103,4 @@ ml_client.connections.create_or_update(my_connection)
 :::image type="content" source="../../media/tools/ai-search/success-connection.png" alt-text="A screenshot of the project connections page with a new Azure AI Search connection added." lightbox="../../media/tools/ai-search/success-connection.png":::
 ---
 
+Now that you have created a project connection to your Azure AI Search resource, you can configure and start using the Azure AI Search tool with the SDK. See the code examples tab to get started.

articles/ai-services/agents/includes/file-search/deep-dive.md

@@ -95,19 +95,4 @@ vector_store = project_client.agents.create_vector_store_and_poll(
 
 Vector stores created using thread helpers (like `tool_resources.file_search.vector_stores` in Threads or `message.attachments` in Messages) have a default expiration policy of seven days after they were last active (defined as the last time the vector store was part of a run).
 
-When a vector store expires, the runs on that thread fail.  To fix this issue, you can recreate a new vector_store with the same files and reattach it to the thread.
-
-```python
-all_files = list(client.beta.vector_stores.files.list("vs_expired"))
-
-vector_store = client.beta.vector_stores.create(name="rag-store")
-client.beta.threads.update(
-    "thread_abc123",
-    tool_resources={"file_search": {"vector_store_ids": [vector_store.id]}},
-)
-
-for file_batch in chunked(all_files, 100):
-    client.beta.vector_stores.file_batches.create_and_poll(
-        vector_store_id=vector_store.id, file_ids=[file.id for file in file_batch]
-    )
-```
+When a vector store expires, the runs on that thread fail.  To fix this issue, you can recreate a new vector_store with the same files and reattach it to the thread.