@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: references_regions
 ms.topic: how-to
-ms.date: 10/14/2024
+ms.date: 10/18/2024
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -67,19 +67,15 @@ Refer to the [models page](../concepts/models.md) for the most up-to-date inform
 
 API support was first added with `2024-07-01-preview`. Use `2024-10-01-preview` to take advantage of the latest features.
 
-### Not supported
+### Feature support
 
 The following aren't currently supported:
 
 - Integration with the Assistants API.
 - Integration with Azure OpenAI On Your Data feature.
 
 > [!NOTE]
-> There is a known issue with Azure OpenAI global batch and [structured outputs](./structured-outputs.md). Currently, lines in your jsonl file with structured output requests will fail with the following error message written to the error file:
->
-> ***response_format value as json_schema is enabled only for api versions 2024-08-01-preview and later***.
->
->This error will occur even when your code targets the latest preview APIs which support structured outputs. Once the issue is resolved, this page will be updated.
+> Structured outputs is now supported with Global Batch when used in conjunction with API version `2024-08-01-preview` or later. Use `2024-10-01-preview` for the latest features.
 
 ### Global batch deployment
 
@@ -157,71 +153,6 @@ Yes. Similar to other deployment types, you can create content filters and assoc
 
 Yes, from the quota page in the Studio UI. Default quota allocation can be found in the [quota and limits article](../quotas-limits.md#global-batch-quota).
 
-### How do I tell how many tokens my batch request contains, and how many tokens are available as quota?
-
-The `2024-10-01-preview` REST API adds two new response headers:
-
-* `deployment-enqueued-tokens` - A approximate token count for your jsonl file calculated immediately after the batch request is submitted. This value represents an estimate based on the number of characters and is not the true token count.
-* `deployment-maximum-enqueued-tokens` The total available enqueued tokens available for this global batch model deployment.
-
-These response headers are only available when making a POST request to begin batch processing of a file with the REST API. The language specific client libraries do not currently return these new response headers. To return all response headers you can add `-i` to the standard REST request.
-
-```http
-curl -i -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches?api-version=2024-10-01-preview \
-  -H "api-key: $AZURE_OPENAI_API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "input_file_id": "file-abc123",
-    "endpoint": "/chat/completions",
-    "completion_window": "24h"
-  }'
-```
-
-```output
-HTTP/1.1 200 OK
-Content-Length: 619
-Content-Type: application/json; charset=utf-8
-Vary: Accept-Encoding
-Request-Context: appId=
-x-ms-response-type: standard
-deployment-enqueued-tokens: 139
-deployment-maximum-enqueued-tokens: 740000
-Strict-Transport-Security: max-age=31536000; includeSubDomains; preload
-X-Content-Type-Options: nosniff
-x-aml-cluster: vienna-swedencentral-01
-x-request-time: 2.125
-apim-request-id: c8bf4351-c6f5-4bfe-9a79-ef3720eca8af
-x-ms-region: Sweden Central
-Date: Thu, 17 Oct 2024 01:45:45 GMT
-
-{
-  "cancelled_at": null,
-  "cancelling_at": null,
-  "completed_at": null,
-  "completion_window": "24h",
-  "created_at": 1729129545,
-  "error_file_id": null,
-  "expired_at": null,
-  "expires_at": 1729215945,
-  "failed_at": null,
-  "finalizing_at": null,
-  "id": "batch_c8dd49a7-c808-4575-9957-b188cd0dd642",
-  "in_progress_at": null,
-  "input_file_id": "file-f89384af0082485da43cb26b49dc25ce",
-  "errors": null,
-  "metadata": null,
-  "object": "batch",
-  "output_file_id": null,
-  "request_counts": {
-    "total": 0,
-    "completed": 0,
-    "failed": 0
-  },
-  "status": "validating",
-  "endpoint": "/chat/completions"
-}
-```
-
 ### What happens if the API doesn't complete my request within the 24 hour time frame?
 
 We aim to process these requests within 24 hours; we don't expire the jobs that take longer. You can cancel the job anytime. When you cancel the job, any remaining work is cancelled and any already completed work is returned. You'll be charged for any completed work.

@@ -6,16 +6,16 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 05/20/2024
-author: mrbullwinkle
-ms.author: mbullwin
+ms.date: 10/15/2024
+author: aahill
+ms.author: aahi
 recommendations: false
 
 ---
 
 # Azure OpenAI Assistants Code Interpreter (Preview)
 
-Code Interpreter allows the Assistants API to write and run Python code in a sandboxed execution environment.  With Code Interpreter enabled, your Assistant can run code iteratively to solve more challenging code, math, and data analysis problems. When your Assistant writes code that fails to run, it can iterate on this code by modifying and running different code until the code execution succeeds.
+Code Interpreter allows the Assistants API to write and run Python code in a sandboxed execution environment. With Code Interpreter enabled, your Assistant can run code iteratively to solve more challenging code, math, and data analysis problems. When your Assistant 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 Assistant calls Code Interpreter simultaneously in two different threads, two code interpreter sessions are created. Each session is active by default for one hour.
@@ -28,7 +28,7 @@ Code Interpreter allows the Assistants API to write and run Python code in a san
 
 The [models page](../concepts/models.md#assistants-preview) contains the most up-to-date information on regions/models where Assistants and code interpreter are supported.
 
-We recommend using assistants with the latest models to take advantage of the new features, as well as the larger context windows, and more up-to-date training data.
+We recommend using assistants with the latest models to take advantage of the new features, larger context windows, and more up-to-date training data.
 
 ### API Versions
 
@@ -69,7 +69,7 @@ We recommend using assistants with the latest models to take advantage of the ne
 
 ### File upload API reference
 
-Assistants use the [same API for file upload as fine-tuning](/rest/api/azureopenai/files/upload?view=rest-azureopenai-2024-02-15-preview&tabs=HTTP&preserve-view=true). When uploading a file you have to specify an appropriate value for the [purpose parameter](/rest/api/azureopenai/files/upload?view=rest-azureopenai-2024-02-15-preview&tabs=HTTP&preserve-view=true#purpose).
+Assistants use the [same API for file upload as fine-tuning](/rest/api/azureopenai/files/upload?view=rest-azureopenai-2024-02-15-preview&tabs=HTTP&preserve-view=true). When uploading a file, you have to specify an appropriate value for the [purpose parameter](/rest/api/azureopenai/files/upload?view=rest-azureopenai-2024-02-15-preview&tabs=HTTP&preserve-view=true#purpose).
 
 ## Enable Code Interpreter
 
@@ -136,7 +136,7 @@ assistant = client.beta.assistants.create(
   instructions="You are an AI assistant that can write code to help answer math questions.",
   model="gpt-4-1106-preview",
   tools=[{"type": "code_interpreter"}],
-  file_ids=[file.id]
+  tool_resources={"code interpreter":{"file_ids":[file.id]}}
 )
 ```
 
@@ -145,14 +145,14 @@ assistant = client.beta.assistants.create(
 ```console
 # Upload a file with an "assistants" purpose
 
-curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files?api-version=2024-05-01-preview \
+curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files?api-version=2024-08-01-preview \
   -H "api-key: $AZURE_OPENAI_API_KEY" \
   -F purpose="assistants" \
   -F file="@c:\\path_to_file\\file.csv"
 
 # Create an assistant using the file ID
 
-curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/assistants?api-version=2024-05-01-preview \
+curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/assistants?api-version=2024-08-01-preview \
   -H "api-key: $AZURE_OPENAI_API_KEY" \
   -H 'Content-Type: application/json' \
   -d '{
@@ -161,7 +161,11 @@ curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/assistants?api-version=2
       { "type": "code_interpreter" }
     ],
     "model": "gpt-4-1106-preview",
-    "file_ids": ["assistant-123abc456"]
+    "tool_resources"{
+      "code interpreter": {
+          "file_ids": ["assistant-1234"]
+      }
+    }
   }'
 ```
 

@@ -3,7 +3,7 @@ title: Azure OpenAI Service Provisioned Throughput Units (PTU) onboarding
 description: Learn about provisioned throughput units onboarding and Azure OpenAI. 
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 09/12/2024
+ms.date: 10/18/2024
 manager: nitinme
 author: mrbullwinkle 
 ms.author: mbullwin 
@@ -33,7 +33,7 @@ Determining the right amount of provisioned throughput, or PTUs, you require for
 
 ### Estimate provisioned throughput and cost
 
-To get a quick estimate for your workload, open the capacity planner in the [Azure OpenAI Studio](https://oai.azure.com). The capacity planner is under **Management** > **Quotas** > **Provisioned**.
+To get a quick estimate for your workload, open the capacity planner in the [Azure OpenAI Studio](https://oai.azure.com). The capacity planner is under **Shared resources** > **Quota** > **Azure OpenAI Provisioned**.
 
 The **Provisioned** option and the capacity planner are only available in certain regions within the Quota pane, if you don't see this option setting the quota region to *Sweden Central* will make this option available. Enter the following parameters based on your workload.
 

@@ -18,8 +18,8 @@ Structured outputs make a model follow a [JSON Schema](https://json-schema.org/o
 
 > [!NOTE]
 > * Currently structured outputs is not supported on [bring your own data](../concepts/use-your-data.md) scenario.
->
-> * There is a known issue blocking structured outputs support for [global batch](batch.md).
+
+
 
 ## Supported models
 

@@ -55,6 +55,12 @@ Like [fine-tuning](../../how-to/fine-tuning.md), global batch uses files in JSON
 {"custom_id": "request-1", "method": "POST", "url": "/chat/completions", "body": {"model": "REPLACE-WITH-MODEL-DEPLOYMENT-NAME", "messages": [{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": [{"type": "text", "text": "What’s in this image?"},{"type": "image_url","image_url": {"url": "https://raw.githubusercontent.com/MicrosoftDocs/azure-docs/main/articles/ai-services/openai/media/how-to/generated-seattle.png"}}]}],"max_tokens": 1000}}
 ```
 
+# [Structured outputs](#tab/structured-outputs)
+
+```json
+{"custom_id": "task-0", "method": "POST", "url": "/chat/completions", "body": {"model": "REPLACE-WITH-MODEL-DEPLOYMENT-NAME", "messages": [{"role": "system", "content": "Extract the event information."}, {"role": "user", "content": "Alice and Bob are going to a science fair on Friday."}], "response_format": {"type": "json_schema", "json_schema": {"name": "CalendarEventResponse", "strict": true, "schema": {"type": "object", "properties": {"name": {"type": "string"}, "date": {"type": "string"}, "participants": {"type": "array", "items": {"type": "string"}}}, "required": ["name", "date", "participants"], "additionalProperties": false}}}}}
+```
+
 ---
 
 The `custom_id` is required to allow you to identify which individual batch request corresponds to a given response. Responses won't be returned in identical order to the order defined in the `.jsonl` batch file.

@@ -44,6 +44,12 @@ Like [fine-tuning](../../how-to/fine-tuning.md), global batch uses files in JSON
 {"custom_id": "request-1", "method": "POST", "url": "/chat/completions", "body": {"model": "REPLACE-WITH-MODEL-DEPLOYMENT-NAME", "messages": [{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": [{"type": "text", "text": "What’s in this image?"},{"type": "image_url","image_url": {"url": "https://raw.githubusercontent.com/MicrosoftDocs/azure-docs/main/articles/ai-services/openai/media/how-to/generated-seattle.png"}}]}],"max_tokens": 1000}}
 ```
 
+# [Structured outputs](#tab/structured-outputs)
+
+```json
+{"custom_id": "task-0", "method": "POST", "url": "/chat/completions", "body": {"model": "REPLACE-WITH-MODEL-DEPLOYMENT-NAME", "messages": [{"role": "system", "content": "Extract the event information."}, {"role": "user", "content": "Alice and Bob are going to a science fair on Friday."}], "response_format": {"type": "json_schema", "json_schema": {"name": "CalendarEventResponse", "strict": true, "schema": {"type": "object", "properties": {"name": {"type": "string"}, "date": {"type": "string"}, "participants": {"type": "array", "items": {"type": "string"}}}, "required": ["name", "date", "participants"], "additionalProperties": false}}}}}
+```
+
 ---
 
 The `custom_id` is required to allow you to identify which individual batch request corresponds to a given response. Responses won't be returned in identical order to the order defined in the `.jsonl` batch file.

@@ -44,6 +44,13 @@ Like [fine-tuning](../../how-to/fine-tuning.md), global batch uses files in JSON
 {"custom_id": "request-1", "method": "POST", "url": "/chat/completions", "body": {"model": "REPLACE-WITH-MODEL-DEPLOYMENT-NAME", "messages": [{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": [{"type": "text", "text": "What’s in this image?"},{"type": "image_url","image_url": {"url": "https://raw.githubusercontent.com/MicrosoftDocs/azure-docs/main/articles/ai-services/openai/media/how-to/generated-seattle.png"}}]}],"max_tokens": 1000}}
 ```
 
+# [Structured outputs](#tab/structured-outputs)
+
+```json
+{"custom_id": "task-0", "method": "POST", "url": "/chat/completions", "body": {"model": "REPLACE-WITH-MODEL-DEPLOYMENT-NAME", "messages": [{"role": "system", "content": "Extract the event information."}, {"role": "user", "content": "Alice and Bob are going to a science fair on Friday."}], "response_format": {"type": "json_schema", "json_schema": {"name": "CalendarEventResponse", "strict": true, "schema": {"type": "object", "properties": {"name": {"type": "string"}, "date": {"type": "string"}, "participants": {"type": "array", "items": {"type": "string"}}}, "required": ["name", "date", "participants"], "additionalProperties": false}}}}}
+```
+
+
 ---
 
 The `custom_id` is required to allow you to identify which individual batch request corresponds to a given response. Responses won't be returned in identical order to the order defined in the `.jsonl` batch file.