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use http_req::{
request::{Method, Request},
uri::Uri,
};
use serde::Serialize;
use urlencoding::encode;
use crate::Retry;
/// Request struct for the completion.
///
/// The default model is "text-davinci-003".
///
/// For more detail about parameters, please refer to
/// [OpenAI docs](https://platform.openai.com/docs/api-reference/completions/create)
///
#[derive(Debug, Serialize)]
pub struct CompletionRequest {
/// The ID or name of the model to use for completion.
pub model: String,
/// The text to be used as the prompt for completion.
pub prompt: String,
/// An optional suffix to append to the prompt before completion.
pub suffix: Option<String>,
/// The number of completions to generate.
pub n: u8,
/// The number of completions to consider and return the best from.
pub best_of: u8,
/// The maximum number of tokens in the generated completions.
pub max_tokens: u16,
/// Controls the randomness of the generated completions.
pub temperature: f32,
/// Nucleus sampling: controls the diversity of the generated completions.
pub top_p: f32,
/// Whether to include log probabilities for each token in the completions.
pub logprobs: Option<u8>,
/// Penalty to discourage the model from generating repetitive completions.
pub presence_penalty: f32,
/// Penalty to discourage the model from using low-frequency words in completions.
pub frequency_penalty: f32,
}
impl Default for CompletionRequest {
fn default() -> CompletionRequest {
CompletionRequest {
model: String::from("text-davinci-003"),
prompt: String::from("<|endoftext|>"),
suffix: None,
n: 1,
best_of: 1,
max_tokens: 16,
temperature: 1.0,
top_p: 1.0,
logprobs: None,
presence_penalty: 0.0,
frequency_penalty: 0.0,
}
}
}
impl crate::OpenAIFlows {
/// Create completion for the provided prompt and parameters.
///
/// `params` is a [CompletionRequest] object.
///
/// If you haven't connected your OpenAI account with [Flows.network platform](https://flows.network),
/// you will receive an error in the flow's building log or running log.
///
pub async fn create_completion(
&self,
params: CompletionRequest,
) -> Result<Vec<String>, String> {
self.keep_trying(|account| create_completion_inner(account, ¶ms))
}
}
fn create_completion_inner(account: &str, params: &CompletionRequest) -> Retry<Vec<String>> {
unsafe {
let flows_user = crate::_get_flows_user();
let mut writer = Vec::new();
let uri = format!(
"{}/{}/create_completion?account={}",
crate::OPENAI_API_PREFIX.as_str(),
flows_user,
encode(account),
);
let uri = Uri::try_from(uri.as_str()).unwrap();
let body = serde_json::to_vec(params).unwrap_or_default();
match Request::new(&uri)
.method(Method::POST)
.header("Content-Type", "application/json")
.header("Content-Length", &body.len())
.body(&body)
.send(&mut writer)
{
Ok(res) => {
match res.status_code().is_success() {
true => Retry::No(
serde_json::from_slice::<Vec<String>>(&writer)
.or(Err(String::from("Unexpected error"))),
),
false => {
match res.status_code().into() {
409 | 429 | 503 => {
// 409 TryAgain 429 RateLimitError
// 503 ServiceUnavailable
Retry::Yes(String::from_utf8_lossy(&writer).into_owned())
}
_ => Retry::No(Err(String::from_utf8_lossy(&writer).into_owned())),
}
}
}
}
Err(e) => Retry::No(Err(e.to_string())),
}
}
}