update file names

Author: laujan

articles/ai-services/translator/text-translation/reference/v4/reference-overview.md

@@ -39,6 +39,12 @@ Metrics allow you to view the translator usage and availability information in A
 
 :::image type="content" source="../../../media/azure-portal-metrics-v4.png" alt-text="Screenshot of HTTP request metrics in the Azure portal.":::
 
+#### Metrics terminology
+
+* **PTU**: provisioned throughput units
+* **TPS**: transactions per second
+* **TPM**: tokens per minute
+
 The following tables list available metrics with description of how they're used to monitor **Translator resource** API calls.
 
 #### Translator resource HTTP requests
@@ -72,19 +78,19 @@ The following tables list available metrics with description of how they're used
 | Metrics | Description |
 |:----|:-----|
 | `AzureOpenAIAvailabilityRate`|Availability percentage with the following calculation:<br>`(Total Calls - Server Errors) / Total Calls`. Server Errors include any HTTP response >= 500.|
-|`AzureOpenAIRequests`|Number of calls made to the Azure OpenAI API over a period of time. Applies to Provisioned Throughput Units (`PTU`), `PTU`-managed, and Pay-as-you-go deployments. To breakdown API requests, you can add a filter or apply splitting by the following dimensions: <br> `ModelDeploymentName`, `ModelName`, `ModelVersion`, `StatusCode` (successful, client errors, server errors), `StreamType` (streaming vs nonstreaming requests), and `Operation`.|
+|`AzureOpenAIRequests`|Number of calls made to the Azure OpenAI API over a period of time. Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To breakdown API requests, you can add a filter or apply splitting by the following dimensions: <br> `ModelDeploymentName`, `ModelName`, `ModelVersion`, `StatusCode` (successful, client errors, server errors), `StreamType` (streaming vs nonstreaming requests), and `Operation`.|
 
 #### Azure OpenAI usage
 
 | Metrics | Description |
 |:----|:-----|
-|`ActiveTokens`|Total tokens minus cached tokens over a period of time. Applies to Provisioned Throughput Units (`PTU`) and `PTU`-managed deployments. Use this metric to understand your TPS- or TPM-based utilization for `PTU`s and compare your benchmarks for target TPS or TPM for your scenarios. <br> To breakdown API requests you can add a filter or apply splitting by the following dimensions: `ModelDeploymentName`, `ModelName`, `ModelVersion`.|
-|`GeneratedTokens`|Number of tokens generated (output) from an OpenAI model. Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To breakdown this metric, you can add a filter or apply splitting by the following dimensions:<br>`ModelDeploymentName`or `ModelName`.|
+|`ActiveTokens`|Total tokens minus cached tokens over a period of time. Applies to `PTU` and `PTU`-managed deployments. Use this metric to understand your `TPS`- or `TPM`-based utilization for `PTU`s and compare your benchmarks for target `TPS` or `TPM` for your scenarios. <br> To breakdown API requests, you can add a filter or apply splitting by the following dimensions: `ModelDeploymentName`, `ModelName`, `ModelVersion`.|
+|`GeneratedTokens`|Number of tokens generated (output) from an OpenAI model. Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To break down this metric, you can add a filter or apply splitting by the following dimensions:<br>`ModelDeploymentName`or `ModelName`.|
 |`FineTunedTrainingHours`|Number of training hours processed on an OpenAI fine-tuned model.|
-|`TokenTransaction`|Number of inference tokens processed on an OpenAI model. Calculated as prompt tokens (input) plus generated tokens (output). Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To breakdown this metric, you can add a filter or apply splitting by the following dimensions:<br>`ModelDeploymentName`or `ModelName`.|
-|`ProcessedPromptTokens`|Number of prompt tokens processed (input) on an OpenAI model. Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To breakdown this metric, you can add a filter or apply splitting by the following dimensions:<br>`ModelDeploymentName`or `ModelName`.|
+|`TokenTransaction`|Number of inference tokens processed on an OpenAI model. Calculated as prompt tokens (input) plus generated tokens (output). Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To break down this metric, you can add a filter or apply splitting by the following dimensions:<br>`ModelDeploymentName`or `ModelName`.|
+|`ProcessedPromptTokens`|Number of prompt tokens processed (input) on an OpenAI model. Applies to `PTU`, `PTU`-managed, and Pay-as-you-go deployments. To break down this metric, you can add a filter or apply splitting by the following dimensions:<br>`ModelDeploymentName`or `ModelName`.|
 |`AzureOpenAIContextTokensCacheMatchRate`|Percentage of prompt tokens that hit the cache. Applies to `PTU` and `PTU`-managed deployments.
-|`AzureOpenAIProvisionedManagedUtilizationV2`|Utilization percentage for a provisioned-managed deployment, calculated as (PTUs consumed / PTUs deployed) x 100. When utilization is greater than or equal to 100%, calls are throttled and error code 429 is returned. To breakdown this metric, you can add a filter or apply splitting by the following dimensions: `ModelDeploymentName`, `ModelName`, `ModelVersion`, and `StreamType` (streaming vs non-streaming requests).|
+|`AzureOpenAIProvisionedManagedUtilizationV2`|Utilization percentage for a provisioned-managed deployment, calculated as (`PTU`s consumed / `PTU`s deployed) x 100. When utilization is greater than or equal to 100%, calls are throttled and error code 429 is returned. To break down this metric, you can add a filter or apply splitting by the following dimensions: `ModelDeploymentName`, `ModelName`, `ModelVersion`, and `StreamType` (streaming vs nonstreaming requests).|