Merge pull request #6877 from mrbullwinkle/mrb_09_01_2025_chat_completions

[Azure OpenAI] [Chat Completions] [v1] Updates

Author: prmerger-automator[bot]

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

@@ -7,14 +7,14 @@ ms.author: mbullwin #delegenz
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python
 ms.topic: how-to
-ms.date: 07/02/2025
+ms.date: 09/01/2025
 manager: nitinme
 keywords: ChatGPT
 ---
 
 # Work with chat completions models
 
-GPT-3.5-Turbo, GPT-4, and GPT-4o series models are language models that are optimized for conversational interfaces. The models behave differently than the older GPT-3 models. Previous models were text-in and text-out, which means they accepted a prompt string and returned a completion to append to the prompt. However, the latest models are conversation-in and message-out. The models expect input formatted in a specific chat-like transcript format. They return a completion that represents a model-written message in the chat. This format was designed specifically for multi-turn conversations, but it can also work well for nonchat scenarios.
+Chat models are language models that are optimized for conversational interfaces. The models behave differently than the older GPT-3 models. Previous models were text-in and text-out, which means they accepted a prompt string and returned a completion to append to the prompt. However, the latest models are conversation-in and message-out. The models expect input formatted in a specific chat-like transcript format. They return a completion that represents a model-written message in the chat. This format was designed specifically for multi-turn conversations, but it can also work well for nonchat scenarios.
 
 This article walks you through getting started with chat completions models. To get the best results, use the techniques described here. Don't try to interact with the models the same way you did with the older model series because the models are often verbose and provide less useful responses.
 

articles/ai-foundry/openai/includes/chat-completion.md

@@ -6,7 +6,7 @@ author: mrbullwinkle #dereklegenzoff
 ms.author: mbullwin #delegenz
 ms.service: azure-ai-openai
 ms.topic: include
-ms.date: 08/29/2024
+ms.date: 09/01/2025
 manager: nitinme
 keywords: ChatGPT
 
@@ -19,12 +19,11 @@ The following code snippet shows the most basic way to interact with models that
 
 ```python
 import os
-from openai import AzureOpenAI
+from openai import OpenAI
 
-client = AzureOpenAI(
+client = OpenAI(
   api_key = os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version = "2024-10-21",
-  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
+  base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/"
 )
 
 response = client.chat.completions.create(
@@ -238,12 +237,11 @@ Every time a new question is asked, a running transcript of the conversation so
 
 ```python
 import os
-from openai import AzureOpenAI
+from openai import OpenAI
 
-client = AzureOpenAI(
+client = OpenAI(
   api_key = os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version = "2024-10-21",
-  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")  # Your Azure OpenAI resource's endpoint value.
+  base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/"
 )
 
 conversation=[{"role": "system", "content": "You are a helpful assistant."}]
@@ -279,12 +277,11 @@ The code uses tiktoken `0.5.1`. If you have an older version, run `pip install t
 ```python
 import tiktoken
 import os
-from openai import AzureOpenAI
+from openai import OpenAI
 
-client = AzureOpenAI(
+client = OpenAI(
   api_key = os.getenv("AZURE_OPENAI_API_KEY"),  
-  api_version = "2024-10-21",
-  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")  # Your Azure OpenAI resource's endpoint value.
+  base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/"
 )
 
 system_message = {"role": "system", "content": "You are a helpful assistant."}