| Name | Type | Description | Notes |
|---|---|---|---|
| model | kotlin.String | ID of the model to use. You can use the `text-davinci-edit-001` or `code-davinci-edit-001` model with this endpoint. | |
| input | kotlin.String | The input text to use as a starting point for the edit. | [optional] |
| instruction | kotlin.String | The instruction that tells the model how to edit the prompt. | |
| n | kotlin.Int | How many edits to generate for the input and instruction. | [optional] |
| temperature | java.math.BigDecimal | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. | [optional] |
| topP | java.math.BigDecimal | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. | [optional] |