Update reference-model-inference-chat-completions.md

Author: santiagxf

articles/ai-studio/reference/reference-model-inference-chat-completions.md

@@ -166,7 +166,7 @@ Status code: 200
 | [ChatCompletionMessageToolCall](#chatcompletionmessagetoolcall) |     |
 | [ChatCompletionObject](#chatcompletionobject) | The object type, which is always `chat.completion`. |
 | [ChatCompletionResponseFormat](#chatcompletionresponseformat) | The response format for the model response. Setting to `json_object` enables JSON mode, which guarantees the message the model generates is valid JSON. When using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.    |
-| [ChatCompletionResponseFormatType](#chatcompletionresponseformatype) | The response format type. |
+| [ChatCompletionResponseFormatType](#chatcompletionresponseformattype) | The response format type. |
 | [ChatCompletionResponseMessage](#chatcompletionresponsemessage) | A chat completion message generated by the model. |
 | [ChatCompletionTool](#chatcompletiontool) |     |
 | [ChatMessageRole](#chatmessagerole) | The role of the author of this message. |
@@ -222,7 +222,7 @@ The response format for the model response. Setting to `json_object` enables JSO
 
 | Name | Type | Description |
 | --- | --- | --- |
-| type | [ChatCompletionResponseFormatType](#chatcompletionresponseformatrype) | The response format type. |
+| type | [ChatCompletionResponseFormatType](#chatcompletionresponseformattype) | The response format type. |
 
 ### ChatCompletionResponseFormatType