| Name | Type | Description | Notes |
|---|---|---|---|
| model | kotlin.String | ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them. | |
| instruction | kotlin.String | The instruction that tells the model how to edit the prompt. | |
| input | kotlin.String | The input text to use as a starting point for the edit. | [optional] |
| n | kotlin.Int | How many edits to generate for the input and instruction. | [optional] |
| temperature | java.math.BigDecimal | What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. 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] |