fit and finish javascript and ts quickstarts

Author: eric-urban

articles/ai-services/openai/includes/text-to-speech-javascript.md

@@ -70,7 +70,7 @@ Your app's _package.json_ file will be updated with the dependencies.
 
     // Required Azure OpenAI deployment name and API version
     const deploymentName = process.env.AZURE_OPENAI_DEPLOYMENT_NAME || "tts";
-    const apiVersion = process.env.OPENAI_AOI_VERSION || "2024-08-01-preview";
+    const apiVersion = process.env.OPENAI_API_VERSION || "2024-08-01-preview";
 
     // keyless authentication    
     const credential = new DefaultAzureCredential();

articles/ai-services/openai/includes/use-your-data-common-variables.md

@@ -15,7 +15,7 @@ You need to retrieve the following information to authenticate your application
 |Variable name | Value |
 |--------------------------|-------------|
 | `AZURE_OPENAI_ENDPOINT`               | This value can be found in the **Keys & Endpoint** section when examining your Azure OpenAI resource from the Azure portal. An example endpoint is: `https://my-resoruce.openai.azure.com`.|
-| `AZURE_OPENAI_DEPLOYMENT_ID` | This value corresponds to the custom name you chose for your deployment when you deployed a model. This value can be found under **Resource Management** > **Deployments** in the Azure portal.|
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | This value corresponds to the custom name you chose for your deployment when you deployed a model. This value can be found under **Resource Management** > **Deployments** in the Azure portal.|
 | `AZURE_AI_SEARCH_ENDPOINT` | This value can be found in the **Overview** section when examining your Azure AI Search resource from the Azure portal. |
 | `AZURE_AI_SEARCH_INDEX` | This value corresponds to the name of the index you created to store your data. You can find it in the **Overview** section when examining your Azure AI Search resource from the Azure portal. |
 
@@ -27,7 +27,7 @@ Learn more about [keyless authentication](/azure/ai-services/authentication) and
 |--------------------------|-------------|
 | `AZURE_OPENAI_ENDPOINT`               | This value can be found in the **Keys & Endpoint** section when examining your Azure OpenAI resource from the Azure portal. An example endpoint is: `https://my-resoruce.openai.azure.com`.|
 | `AZURE_OPENAI_API_KEY` | This value can be found in **Resource management** > **Keys & Endpoint** section when examining your Azure OpenAI resource from the Azure portal. You can use either `KEY1` or `KEY2`. Always having two keys allows you to securely rotate and regenerate keys without causing a service disruption. |
-| `AZURE_OPENAI_DEPLOYMENT_ID` | This value corresponds to the custom name you chose for your deployment when you deployed a model. This value can be found under **Resource Management** > **Deployments** in the Azure portal.|
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | This value corresponds to the custom name you chose for your deployment when you deployed a model. This value can be found under **Resource Management** > **Deployments** in the Azure portal.|
 | `AZURE_AI_SEARCH_ENDPOINT` | This value can be found in the **Overview** section when examining your Azure AI Search resource from the Azure portal. |
 | `AZURE_AI_SEARCH_API_KEY` | This value can be found in the **Settings** > **Keys** section when examining your Azure AI Search resource from the Azure portal. You can use either the primary admin key or secondary admin key. Always having two keys allows you to securely rotate and regenerate keys without causing a service disruption. |
 | `AZURE_AI_SEARCH_INDEX` | This value corresponds to the name of the index you created to store your data. You can find it in the **Overview** section when examining your Azure AI Search resource from the Azure portal. |

articles/ai-services/openai/includes/use-your-data-dotnet.md

@@ -24,7 +24,7 @@ using static System.Environment;
 
 string azureOpenAIEndpoint = GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
 string azureOpenAIKey = GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
-string deploymentName = GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_ID");
+string deploymentName = GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME");
 string searchEndpoint = GetEnvironmentVariable("AZURE_AI_SEARCH_ENDPOINT");
 string searchKey = GetEnvironmentVariable("AZURE_AI_SEARCH_API_KEY");
 string searchIndex = GetEnvironmentVariable("AZURE_AI_SEARCH_INDEX");

articles/ai-services/openai/includes/use-your-data-go.md

@@ -39,7 +39,7 @@ ms.date: 01/17/2025
 
    func main() {
    	azureOpenAIKey := os.Getenv("AZURE_OPENAI_API_KEY")
-   	modelDeploymentID := os.Getenv("AZURE_OPENAI_DEPLOYMENT_ID")
+   	modelDeploymentID := os.Getenv("AZURE_OPENAI_DEPLOYMENT_NAME")
 
    	// Ex: "https://<your-azure-openai-host>.openai.azure.com"
    	azureOpenAIEndpoint := os.Getenv("AZURE_OPENAI_ENDPOINT")

articles/ai-services/openai/includes/use-your-data-python.md

@@ -54,7 +54,7 @@ dotenv.load_dotenv()
 
 endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT")
 api_key = os.environ.get("AZURE_OPENAI_API_KEY")
-deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT_ID")
+deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME")
 
 client = openai.AzureOpenAI(
     azure_endpoint=endpoint,
@@ -132,12 +132,12 @@ print(f"{completion.choices[0].message.role}: {completion.choices[0].message.con
 
        openai.requestssession = session
 
-   aoai_deployment_id = os.environ.get("AZURE_OPENAI_DEPLOYMENT_ID")
+   aoai_deployment_id = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME")
    setup_byod(aoai_deployment_id)
 
    completion = openai.ChatCompletion.create(
        messages=[{"role": "user", "content": "What are my available health plans?"}],
-       deployment_id=os.environ.get("AZURE_OPENAI_DEPLOYMENT_ID"),
+       deployment_id=os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME"),
        dataSources=[  # camelCase is intentional, as this is the format the API expects
            {
                "type": "AzureCognitiveSearch",

articles/ai-services/openai/includes/use-your-data-rest.md

@@ -20,7 +20,7 @@ To trigger a response from the model, you should end with a user message indicat
 > There are several parameters you can use to change the model's response, such as `temperature` or `top_p`. See the [reference documentation](../reference.md#completions-extensions) for more information.
 
 ```bash
-curl -i -X POST $AZURE_OPENAI_ENDPOINT/openai/deployments/$AZURE_OPENAI_DEPLOYMENT_ID/chat/completions?api-version=2024-10-21 \
+curl -i -X POST $AZURE_OPENAI_ENDPOINT/openai/deployments/$AZURE_OPENAI_DEPLOYMENT_NAME/chat/completions?api-version=2024-10-21 \
 -H "Content-Type: application/json" \
 -H "api-key: $AZURE_OPENAI_API_KEY" \
 -d \