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use crate::{
client::Client,
config::Config,
error::OpenAIError,
types::{CompletionResponseStream, CreateCompletionRequest, CreateCompletionResponse},
};
/// Given a prompt, the model will return one or more predicted completions,
/// and can also return the probabilities of alternative tokens at each position.
/// We recommend most users use our Chat completions API.
/// [Learn more](https://platform.openai.com/docs/deprecations/2023-07-06-gpt-and-embeddings)
///
/// Related guide: [Legacy Completions](https://platform.openai.com/docs/guides/gpt/completions-api)
pub struct Completions<'c, C: Config> {
client: &'c Client<C>,
}
impl<'c, C: Config> Completions<'c, C> {
pub fn new(client: &'c Client<C>) -> Self {
Self { client }
}
/// Creates a completion for the provided prompt and parameters
pub async fn create(
&self,
request: CreateCompletionRequest,
) -> Result<CreateCompletionResponse, OpenAIError> {
if request.stream.is_some() && request.stream.unwrap() {
return Err(OpenAIError::InvalidArgument(
"When stream is true, use Completion::create_stream".into(),
));
}
self.client.post("/completions", request).await
}
/// Creates a completion request for the provided prompt and parameters
///
/// Stream back partial progress. Tokens will be sent as data-only
/// [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#event_stream_format)
/// as they become available, with the stream terminated by a data: \[DONE\] message.
///
/// [CompletionResponseStream] is a parsed SSE stream until a \[DONE\] is received from server.
pub async fn create_stream(
&self,
mut request: CreateCompletionRequest,
) -> Result<CompletionResponseStream, OpenAIError> {
if request.stream.is_some() && !request.stream.unwrap() {
return Err(OpenAIError::InvalidArgument(
"When stream is false, use Completion::create".into(),
));
}
request.stream = Some(true);
Ok(self.client.post_stream("/completions", request).await)
}
}