tabby/crates/http-api-bindings/src/fastchat.rs

97 lines
2.7 KiB
Rust

use async_trait::async_trait;
use futures::stream::BoxStream;
use reqwest::header;
use serde::{Deserialize, Serialize};
use serde_json::Value;
use tabby_inference::{helpers, TextGeneration, TextGenerationOptions};
#[derive(Serialize)]
struct Request {
model: String,
prompt: Vec<String>,
max_tokens: usize,
temperature: f32,
}
#[derive(Deserialize)]
struct Response {
choices: Vec<Prediction>,
}
#[derive(Deserialize)]
struct Prediction {
text: Vec<String>,
}
pub struct FastChatEngine {
client: reqwest::Client,
api_endpoint: String,
model_name: String,
}
impl FastChatEngine {
pub fn create(api_endpoint: &str, model_name: &str, authorization: &str) -> Self {
let mut headers = reqwest::header::HeaderMap::new();
if !authorization.is_empty() {
headers.insert(
"Authorization",
header::HeaderValue::from_str(authorization)
.expect("Failed to create authorization header"),
);
}
let client = reqwest::Client::builder()
.default_headers(headers)
.build()
.expect("Failed to construct HTTP client");
Self {
api_endpoint: api_endpoint.to_owned(),
model_name: model_name.to_owned(),
client,
}
}
pub fn prompt_template() -> String {
"{prefix}<MID>{suffix}".to_owned()
}
}
#[async_trait]
impl TextGeneration for FastChatEngine {
async fn generate(&self, prompt: &str, options: TextGenerationOptions) -> String {
let tokens: Vec<&str> = prompt.split("<MID>").collect();
let request = Request {
model: self.model_name.to_owned(),
prompt: vec![tokens[0].to_owned()],
max_tokens: options.max_decoding_length,
temperature: options.sampling_temperature,
};
// API Documentation: https://github.com/lm-sys/FastChat/blob/main/docs/openai_api.md
let resp = self
.client
.post(&self.api_endpoint)
.json(&request)
.send()
.await
.expect("Failed to making completion request");
if resp.status() != 200 {
let err: Value = resp.json().await.expect("Failed to parse response");
println!("Request failed: {}", err);
std::process::exit(1);
}
let resp: Response = resp.json().await.expect("Failed to parse response");
resp.choices[0].text[0].clone()
}
async fn generate_stream(
&self,
prompt: &str,
options: TextGenerationOptions,
) -> BoxStream<String> {
helpers::string_to_stream(self.generate(prompt, options).await).await
}
}