change output format

Author: PatrickFarley

articles/ai-services/openai/how-to/gpt-with-vision.md

@@ -101,10 +101,7 @@ The API response should look like the following.
     ],
     "choices": [
         {
-            "finish_details": {
-                "type": "stop",
-                "stop": "<|fim_suffix|>"
-            },
+            "finish_reason":"stop",
             "index": 0,
             "message": {
                 "role": "assistant",
@@ -138,13 +135,11 @@ The API response should look like the following.
 }
 ```
 
-Every response includes a `"finish_details"` field. The subfield `"type"` has the following possible values:
+Every response includes a `"finish_reason"` field. It has the following possible values:
 - `stop`: API returned complete model output.
-- `max_tokens`: Incomplete model output due to the `max_tokens` input parameter or model's token limit.
+- `length`: Incomplete model output due to the `max_tokens` input parameter or model's token limit.
 - `content_filter`: Omitted content due to a flag from our content filters.
 
-If `finish_details.type` is `stop`, then there is another `"stop"` property that specifies the token that caused the output to end.
-
 ## Use Vision enhancement with images
 
 GPT-4 Turbo with Vision provides exclusive access to Azure AI Services tailored enhancements. When combined with Azure AI Vision, it enhances your chat experience by providing the chat model with more detailed information about visible text in the image and the locations of objects.
@@ -231,11 +226,7 @@ The chat responses you receive from the model should now include enhanced inform
     "choices":
     [
         {
-            "finish_details":
-            {
-                "type": "stop",
-                "stop": "<|fim_suffix|>"
-            },
+            "finish_reason":"stop",
             "index": 0,
             "message":
             {
@@ -275,13 +266,11 @@ The chat responses you receive from the model should now include enhanced inform
 }
 ```
 
-Every response includes a `"finish_details"` field. The subfield `"type"` has the following possible values:
+Every response includes a `"finish_reason"` field. It has the following possible values:
 - `stop`: API returned complete model output.
-- `max_tokens`: Incomplete model output due to the `max_tokens` input parameter or model's token limit.
+- `length`: Incomplete model output due to the `max_tokens` input parameter or model's token limit.
 - `content_filter`: Omitted content due to a flag from our content filters.
 
-If `finish_details.type` is `stop`, then there is another `"stop"` property that specifies the token that caused the output to end.
-
 ## Use Vision enhancement with video
 
 GPT-4 Turbo with Vision provides exclusive access to Azure AI Services tailored enhancements. The **video prompt** integration uses Azure AI Vision video retrieval to sample a set of frames from a video and create a transcript of the speech in the video. It enables the AI model to give summaries and answers about video content.
@@ -369,11 +358,7 @@ The chat responses you receive from the model should include information about t
     "choices":
     [
         {
-            "finish_details":
-            {
-                "type": "stop",
-                "stop": "<|fim_suffix|>"
-            },
+            "finish_reason":"stop",
             "index": 0,
             "message":
             {
@@ -391,13 +376,11 @@ The chat responses you receive from the model should include information about t
 }
 ```
 
-Every response includes a `"finish_details"` field. The subfield `"type"` has the following possible values:
+Every response includes a `"finish_reason"` field. It has the following possible values:
 - `stop`: API returned complete model output.
-- `max_tokens`: Incomplete model output due to the `max_tokens` input parameter or model's token limit.
+- `length`: Incomplete model output due to the `max_tokens` input parameter or model's token limit.
 - `content_filter`: Omitted content due to a flag from our content filters.
 
-If `finish_details.type` is `stop`, then there is another `"stop"` property that specifies the token that caused the output to end.
-
 ## Detail parameter settings in image processing: Low, High, Auto  
 
 The detail parameter in the model offers three choices: `low`, `high`, or `auto`, to adjust the way the model interprets and processes images. The default setting is auto, where the model decides between low or high based on the size of the image input.