Struct async_openai::types::CreateEditRequest

pub struct CreateEditRequest {
    pub model: String,
    pub input: Option<String>,
    pub instruction: String,
    pub n: Option<u8>,
    pub temperature: Option<f32>,
    pub top_p: Option<f32>,
}

Fields

model: 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.

input: Option<String>

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

instruction: String

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

n: Option<u8>

How many edits to generate for the input and instruction.

temperature: Option<f32>

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.

top_p: Option<f32>

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.

Trait Implementations

impl Debug for CreateEditRequest

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for CreateEditRequest

fn default() -> CreateEditRequest

Returns the “default value” for a type.

impl Serialize for CreateEditRequest

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where
    __S: Serializer,

Serialize this value into the given Serde serializer.