logprobs limitation

Author: aahill

articles/ai-services/openai/references/on-your-data.md

@@ -5,7 +5,7 @@ description: Learn how to use Azure OpenAI On Your Data Python & REST API.
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 03/12/2024
+ms.date: 06/13/2024
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -49,7 +49,7 @@ The request body inherits the same schema of chat completions API request. This
 
 |Name | Type | Required | Description |
 |--- | --- | --- | --- |
-| `data_sources` | [DataSource](#data-source)[] | True | The configuration entries for Azure OpenAI On Your Data. There must be exactly one element in the array. If `data_sources` is not provided, the service uses chat completions model directly, and does not use Azure OpenAI On Your Data.|
+| `data_sources` | [DataSource](#data-source)[] | True | The configuration entries for Azure OpenAI On Your Data. There must be exactly one element in the array. If `data_sources` is not provided, the service uses chat completions model directly, and does not use Azure OpenAI On Your Data. When you specify the `data_sources` parameter, you won't be able to to use the `logprobs` or `top_logprobs` parameters. |
 
 ## Response body