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use crate::{
config::Config,
error::OpenAIError,
types::{
ChatCompletionResponseStream, CreateChatCompletionRequest, CreateChatCompletionResponse,
},
Client,
};
/// Given a list of messages comprising a conversation, the model will return a response.
///
/// Related guide: [Chat completions](https://platform.openai.com//docs/guides/text-generation)
pub struct Chat<'c, C: Config> {
client: &'c Client<C>,
}
impl<'c, C: Config> Chat<'c, C> {
pub fn new(client: &'c Client<C>) -> Self {
Self { client }
}
/// Creates a model response for the given chat conversation.
pub async fn create(
&self,
request: CreateChatCompletionRequest,
) -> Result<CreateChatCompletionResponse, OpenAIError> {
if request.stream.is_some() && request.stream.unwrap() {
return Err(OpenAIError::InvalidArgument(
"When stream is true, use Chat::create_stream".into(),
));
}
self.client.post("/chat/completions", request).await
}
/// Creates a completion for the chat message
///
/// partial message deltas will be sent, like in ChatGPT. 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.
///
/// [ChatCompletionResponseStream] is a parsed SSE stream until a \[DONE\] is received from server.
pub async fn create_stream(
&self,
mut request: CreateChatCompletionRequest,
) -> Result<ChatCompletionResponseStream, OpenAIError> {
if request.stream.is_some() && !request.stream.unwrap() {
return Err(OpenAIError::InvalidArgument(
"When stream is false, use Chat::create".into(),
));
}
request.stream = Some(true);
Ok(self.client.post_stream("/chat/completions", request).await)
}
}