The instruction that tells the model how to edit the prompt.

ID of the model to use. You can use the text-davinci-edit-001 or code-davinci-edit-001 model with this endpoint.

The input text to use as a starting point for the edit.

How many edits to generate for the input and instruction.

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.

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.