Struct CreateCompletionRequest

pub struct CreateCompletionRequest {

    pub model: CreateCompletionRequest_Model,
    pub prompt: Option<CreateCompletionRequest_Prompt>,
    pub best_of: Option<i64>,
    pub echo: Option<bool>,
    pub frequency_penalty: Option<f64>,
    pub logit_bias: Option<CreateCompletionRequest_LogitBias>,
    pub logprobs: Option<i64>,
    pub max_tokens: Option<i64>,
    pub n: Option<i64>,
    pub presence_penalty: Option<f64>,
    pub seed: Option<i64>,
    pub stop: Option<StopConfiguration>,
    pub stream: Option<bool>,
    pub stream_options: Option<ChatCompletionStreamOptions>,
    pub suffix: Option<String>,
    pub temperature: Option<f64>,
    pub top_p: Option<f64>,
    pub user: Option<String>,
}

Fields

model: CreateCompletionRequest_Model

prompt: Option<CreateCompletionRequest_Prompt>

best_of: Option<i64>

Generates best_of completions server-side and returns the “best” (the one with the highest log probability per token).

echo: Option<bool>

Echo back the prompt in addition to the completion

frequency_penalty: Option<f64>

Number between -2.0 and 2.0.

logit_bias: Option<CreateCompletionRequest_LogitBias>

Modify the likelihood of specified tokens appearing in the completion.

logprobs: Option<i64>

Include the log probabilities on the logprobs most likely output tokens, as well the chosen tokens.

max_tokens: Option<i64>

The maximum number of tokens that can be generated in the completion.

n: Option<i64>

How many completions to generate for each prompt.

presence_penalty: Option<f64>

Number between -2.0 and 2.0.

seed: Option<i64>

If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.

stop: Option<StopConfiguration>

stream: Option<bool>

Whether to stream back partial progress.

stream_options: Option<ChatCompletionStreamOptions>

suffix: Option<String>

The suffix that comes after a completion of inserted text.

temperature: Option<f64>

What sampling temperature to use, between 0 and 2.

top_p: Option<f64>

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass.

user: Option<String>

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

Trait Implementations

impl Clone for CreateCompletionRequest

fn clone(&self) -> CreateCompletionRequest

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateCompletionRequest

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

Formats the value using the given formatter.