update

Author: mrbullwinkle

articles/ai-foundry/openai/how-to/reasoning.md

@@ -49,7 +49,7 @@ Azure OpenAI reasoning models are designed to tackle reasoning and problem-solvi
 | **API Version** | [v1 preview](../api-version-lifecycle.md#api-evolution) | [v1 preview](../api-version-lifecycle.md#api-evolution) | [v1 preview](../api-version-lifecycle.md#api-evolution) |
 | **[Developer Messages](#developer-messages)** | ✅ | ✅ | ✅ | 
 | **[Structured Outputs](./structured-outputs.md)** | ✅ | ✅ | ✅ |
-| **[Context Window](../concepts/models.md#o-series-models)** |  Input: 200,000 <br> Output: 100,000 | Input: 272,000 <br> Output: 100,000 | Input: 272,000 <br> Output: 100,000 | Input: 200,000 <br> Output: 100,000 | Input: 200,000 <br> Output: 100,000 | Input: 200,000 <br> Output: 100,000  | Input: 128,000  <br> Output: 65,536 |
+| **[Context Window](../concepts/models.md#o-series-models)** |  Input: 272,000 <br> Output: 128,000 | Input: 272,000 <br> Output: 128,000 | Input: 272,000 <br> Output: 128,000 |
 | **[Reasoning effort](#reasoning-effort)** | ✅| ✅| ✅|
 | **[Image input](./gpt-with-vision.md)** | ✅ | ✅ | ✅ |
 | Chat Completions API | ✅ | ✅ | ✅ |
@@ -61,9 +61,9 @@ Azure OpenAI reasoning models are designed to tackle reasoning and problem-solvi
 | [Reasoning summary](#reasoning-summary) <sup>4</sup> |  ✅ | ✅ | ✅ |
 | Streaming   | ✅ | ✅ | ✅|
 
-<sup>1</sup> Parallel tool calls are not supported when `reasoning_effort` is set to `minimal`.
+<sup>1</sup> Parallel tool calls are not supported when `reasoning_effort` is set to `minimal`<br><br>
 <sup>2</sup> Reasoning models will only work with the `max_completion_tokens` parameter. <br><br>
-<sup>3</sup> The latest reasoning models support system messages to make migration easier. You should not use both a developer message and a system message in the same API request.
+<sup>3</sup> The latest reasoning models support system messages to make migration easier. You should not use both a developer message and a system message in the same API request.<br><br>
 <sup>4</sup> Access to the chain-of-thought reasoning summary is limited access only for `o3` & `o4-mini`.
 
 # [O-Series Reasoning Models](#tab/o-series)
@@ -131,7 +131,7 @@ client = AzureOpenAI(
 )
 
 response = client.chat.completions.create(
-    model="o1-new", # replace with the model deployment name of your o1-preview, or o1-mini model
+    model="o1-new", # replace with your model deployment name 
     messages=[
         {"role": "user", "content": "What steps should I think about when writing my first Python API?"},
     ],
@@ -334,11 +334,11 @@ token_provider = get_bearer_token_provider(
 client = AzureOpenAI(
   azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
   azure_ad_token_provider=token_provider,
-  api_version="2025-03-01-preview"
+  api_version="2025-04-01-preview"
 )
 
 response = client.chat.completions.create(
-    model="o1-new", # replace with the model deployment name of your o1-preview, or o1-mini model
+    model="o1-new", # replace with your model deployment name 
     messages=[
         {"role": "developer","content": "You are a helpful assistant."}, # optional equivalent to a system message for reasoning models 
         {"role": "user", "content": "What steps should I think about when writing my first Python API?"},
@@ -366,7 +366,7 @@ from openai import AzureOpenAI
 client = AzureOpenAI(
   azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
   api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version="2025-03-01-preview"
+  api_version="2025-04-01-preview"
 )
 
 response = client.chat.completions.create(
@@ -419,7 +419,7 @@ Console.WriteLine($"{completion.Role}: {completion.Content[0].Text}");
 
 ## Reasoning summary
 
-When using the latest `o3` and `o4-mini` models with the [Responses API](./responses.md) you can use the reasoning summary parameter to receive summaries of the model's chain of thought reasoning. This parameter can be set to `auto`, `concise`, or `detailed`. Access to this feature requires you to [Request Access](https://aka.ms/oai/o3access).
+When using the latest reasoning models with the [Responses API](./responses.md) you can use the reasoning summary parameter to receive summaries of the model's chain of thought reasoning. This parameter can be set to `auto`, `concise`, or `detailed`. Access to this feature requires you to [Request Access](https://aka.ms/oai/o3access).
 
 > [!NOTE]
 > Even when enabled, reasoning summaries are not generated for every step/request. This is expected behavior.