update

Author: mrbullwinkle

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

@@ -30,52 +30,93 @@ keywords:
 
 Install the OpenAI Python client library with:
 
+# [OpenAI Python 0.28.1](#tab/python)
+
 ```console
 pip install openai==0.28.1
 ```
 
+# [OpenAI Python 1.0](#tab/python-new)
+
+```console
+pip install openai
+```
+
+---
+
 > [!NOTE]
 > This library is maintained by OpenAI and is currently in preview. Refer to the [release history](https://github.com/openai/openai-python/releases) or the [version.py commit history](https://github.com/openai/openai-python/commits/main/openai/version.py) to track the latest updates to the library.
 
 [!INCLUDE [get-key-endpoint](get-key-endpoint.md)]
 
 [!INCLUDE [environment-variables](environment-variables.md)]
 
-
 > [!div class="nextstepaction"]
 > [I ran into an issue with the setup.](https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=PYTHON&Pillar=AOAI&Product=Chatgpt&Page=quickstart&Section=Set-up)
 
 ## Create a new Python application
 
 1. Create a new Python file called quickstart.py. Then open it up in your preferred editor or IDE.
 
-2. Replace the contents of quickstart.py with the following code. You need to set the `engine` variable to the deployment name you chose when you deployed the GPT-35-Turbo or GPT-4 models. Entering the model name will result in an error unless you chose a deployment name that is identical to the underlying model name.
-
-    ```python
-    #Note: The openai-python library support for Azure OpenAI is in preview.
-    import os
-    import openai
-    openai.api_type = "azure"
-    openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT") 
-    openai.api_version = "2023-05-15"
-    openai.api_key = os.getenv("AZURE_OPENAI_KEY")
-
-    response = openai.ChatCompletion.create(
-        engine="gpt-35-turbo", # engine = "deployment_name".
-        messages=[
-            {"role": "system", "content": "You are a helpful assistant."},
-            {"role": "user", "content": "Does Azure OpenAI support customer managed keys?"},
-            {"role": "assistant", "content": "Yes, customer managed keys are supported by Azure OpenAI."},
-            {"role": "user", "content": "Do other Azure AI services support this too?"}
-        ]
-    )
-
-    print(response)
-    print(response['choices'][0]['message']['content'])
-    ```
+2. Replace the contents of quickstart.py with the following code.
+
+# [OpenAI Python 0.28.1](#tab/python)
+
+You need to set the `engine` variable to the deployment name you chose when you deployed the GPT-3.5-Turbo or GPT-4 models. Entering the model name will result in an error unless you chose a deployment name that is identical to the underlying model name.
+
+```python
+import os
+import openai
+openai.api_type = "azure"
+openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT") 
+openai.api_key = os.getenv("AZURE_OPENAI_KEY")
+openai.api_version = "2023-05-15"
+
+response = openai.ChatCompletion.create(
+    engine="gpt-35-turbo", # engine = "deployment_name".
+    messages=[
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Does Azure OpenAI support customer managed keys?"},
+        {"role": "assistant", "content": "Yes, customer managed keys are supported by Azure OpenAI."},
+        {"role": "user", "content": "Do other Azure AI services support this too?"}
+    ]
+)
+
+print(response)
+print(response['choices'][0]['message']['content'])
+```
+
+# [OpenAI Python 1.0](#tab/python-new)
+
+You need to set the `model` variable to the deployment name you chose when you deployed the GPT-3.5-Turbo or GPT-4 models. Entering the model name will result in an error unless you chose a deployment name that is identical to the underlying model name.
+
+```python
+import os
+from openai import AzureOpenAI
+
+client = AzureOpenAI(
+  azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"), 
+  api_key=os.getenv("AZURE_OPENAI_KEY"),  
+  api_version="2023-05-15"
+)
+
+response = client.chat.completions.create(
+    model="gpt-35-turbo", # model = "deployment_name".
+    messages=[
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Does Azure OpenAI support customer managed keys?"},
+        {"role": "assistant", "content": "Yes, customer managed keys are supported by Azure OpenAI."},
+        {"role": "user", "content": "Do other Azure AI services support this too?"}
+    ]
+)
+
+print(response.choices[0].message.content)
+```
+
+---
 
-    > [!IMPORTANT]
-    > For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../key-vault/general/overview.md). For more information about credential security, see the Azure AI services [security](../../security-features.md) article.
+> [!IMPORTANT]
+> For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../key-vault/general/overview.md). For more information about credential security, see the Azure AI services [security](../../security-features.md) article.
 
 3. Run the application with the `python` command on your quickstart file: