use async_trait::async_trait;
use toolcraft_request::{ByteStream, HeaderMap, Request};
use crate::{
error::Result,
model::{
llm::{LlmInput, LlmOutput},
openai::{OpenAiChatRequest, OpenAiChatResponse},
},
sdk::ModelSDK,
};
pub struct OpenAiSdk {
request: Request,
model: String,
}
impl OpenAiSdk {
pub fn new(api_key: &str, base_url: &str, model: &str) -> Result<Self> {
let mut request = Request::new()?;
request.set_base_url(base_url)?;
let mut headers = HeaderMap::new();
headers.insert("Content-Type", "application/json".to_string())?;
headers.insert("Accept", "application/json".to_string())?;
headers.insert("Authorization", format!("Bearer {api_key}"))?;
request.set_default_headers(headers);
Ok(Self {
request,
model: model.to_string(),
})
}
}
#[async_trait]
impl ModelSDK for OpenAiSdk {
type Input = LlmInput;
type Output = LlmOutput;
async fn chat_once(&self, input: Self::Input) -> Result<Self::Output> {
let body = OpenAiChatRequest {
model: self.model.clone(),
messages: input.messages,
stream: None,
temperature: None,
};
let payload = serde_json::to_value(body)?;
let response = self
.request
.post("chat/completions", &payload, None)
.await?;
let json: OpenAiChatResponse = response.json().await?;
Ok(json.into())
}
async fn chat_stream(&self, input: Self::Input) -> Result<ByteStream> {
let body = OpenAiChatRequest {
model: self.model.clone(),
messages: input.messages,
stream: Some(true),
temperature: None,
};
let payload = serde_json::to_value(body)?;
let r = self
.request
.post_stream("chat/completions", &payload, None)
.await?;
Ok(r)
}
}