update

Author: mrbullwinkle

articles/ai-services/openai/how-to/batch.md

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: 
 ms.topic: how-to
-ms.date: 10/02/2024
+ms.date: 10/11/2024
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -65,9 +65,9 @@ The following models support global batch:
 
 Refer to the [models page](../concepts/models.md) for the most up-to-date information on regions/models where global batch is currently supported.
 
-### API Versions
+### API support
 
-- `2024-07-01-preview`
+API support was first added with `2024-07-01-preview`. 
 
 ### Not supported
 
@@ -224,8 +224,7 @@ When a job failure occurs, you'll find details about the failure in the `errors`
 
 ### Known issues
 
-- Resources deployed with Azure CLI won't work out-of-box with Azure OpenAI global batch. This is due to an issue where resources deployed using this method have endpoint subdomains that don't follow the `https://your-resource-name.openai.azure.com` pattern. A workaround for this issue is to deploy a new Azure OpenAI resource using one of the other common deployment methods which will properly handle the subdomain setup as part of the deployment process. 
-
+- Resources deployed with Azure CLI won't work out-of-box with Azure OpenAI global batch. This is due to an issue where resources deployed using this method have endpoint subdomains that don't follow the `https://your-resource-name.openai.azure.com` pattern. A workaround for this issue is to deploy a new Azure OpenAI resource using one of the other common deployment methods which will properly handle the subdomain setup as part of the deployment process.
 
 ## See also
 

articles/ai-services/openai/includes/batch/batch-python.md

@@ -104,34 +104,11 @@ file_id = file.id
   "filename": "test.jsonl",
   "object": "file",
   "purpose": "batch",
-  "status": "pending",
+  "status": null,
   "status_details": null
 }
 ```
 
-## Track file upload status
-
-Depending on the size of your upload file it might take some time before it's fully uploaded and processed. To check on your file upload status run:
-
-```python
-# Wait until the uploaded file is in processed state
-import time
-import datetime 
-
-status = "pending"
-while status != "processed":
-    time.sleep(15)
-    file_response = client.files.retrieve(file_id)
-    status = file_response.status
-    print(f"{datetime.datetime.now()} File Id: {file_id}, Status: {status}")
-```
-
-**Output:**
-
-```output
-2024-07-31 21:42:53.663655 File Id: file-9f3a81d899b4442f98b640e4bc3535dd, Status: processed
-```
-
 ## Create batch job
 
 Once your file has uploaded successfully by reaching a status of `processed` you can submit the file for batch processing.