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|
use super::{prompt_input_api_key, Client, ClientConfig, ExtraConfig, ModelInfo, SendData};
use crate::config::SharedConfig;
use crate::repl::ReplyStreamHandler;
use anyhow::{anyhow, bail, Result};
use async_trait::async_trait;
use eventsource_stream::Eventsource;
use futures_util::StreamExt;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
use serde_json::{json, Value};
use std::env;
const API_BASE: &str = "https://api.openai.com/v1";
#[derive(Debug)]
pub struct OpenAIClient {
global_config: SharedConfig,
config: OpenAIConfig,
model_info: ModelInfo,
}
#[derive(Debug, Clone, Deserialize, Default)]
pub struct OpenAIConfig {
pub name: Option<String>,
pub api_key: Option<String>,
pub organization_id: Option<String>,
pub extra: Option<ExtraConfig>,
}
#[async_trait]
impl Client for OpenAIClient {
fn config(&self) -> &SharedConfig {
&self.global_config
}
fn extra_config(&self) -> &Option<ExtraConfig> {
&self.config.extra
}
async fn send_message_inner(&self, client: &ReqwestClient, data: SendData) -> Result<String> {
let builder = self.request_builder(client, data)?;
openai_send_message(builder).await
}
async fn send_message_streaming_inner(
&self,
client: &ReqwestClient,
handler: &mut ReplyStreamHandler,
data: SendData,
) -> Result<()> {
let builder = self.request_builder(client, data)?;
openai_send_message_streaming(builder, handler).await
}
}
impl OpenAIClient {
pub const NAME: &str = "openai";
pub fn init(global_config: SharedConfig) -> Option<Box<dyn Client>> {
let model_info = global_config.read().model_info.clone();
let config = {
if let ClientConfig::OpenAI(c) = &global_config.read().clients[model_info.index] {
c.clone()
} else {
return None;
}
};
Some(Box::new(Self {
global_config,
config,
model_info,
}))
}
pub fn name(local_config: &OpenAIConfig) -> &str {
local_config.name.as_deref().unwrap_or(Self::NAME)
}
pub fn list_models(local_config: &OpenAIConfig, index: usize) -> Vec<ModelInfo> {
let client = Self::name(local_config);
[
("gpt-3.5-turbo", 4096),
("gpt-3.5-turbo-16k", 16384),
("gpt-4", 8192),
("gpt-4-32k", 32768),
]
.into_iter()
.map(|(name, max_tokens)| ModelInfo::new(client, name, max_tokens, index))
.collect()
}
pub fn create_config() -> Result<String> {
let mut client_config = format!("clients:\n - type: {}\n", Self::NAME);
let api_key = prompt_input_api_key()?;
client_config.push_str(&format!(" api_key: {api_key}\n"));
Ok(client_config)
}
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let env_prefix = Self::name(&self.config).to_uppercase();
let api_key = self.config.api_key.clone();
let api_key = api_key
.or_else(|| env::var(format!("{env_prefix}_API_KEY")).ok())
.ok_or_else(|| anyhow!("Miss api_key"))?;
let body = openai_build_body(data, self.model_info.name.clone());
let api_base = env::var(format!("{env_prefix}_API_BASE"))
.ok()
.unwrap_or_else(|| API_BASE.to_string());
let url = format!("{api_base}/chat/completions");
let mut builder = client.post(url).bearer_auth(api_key).json(&body);
if let Some(organization_id) = &self.config.organization_id {
builder = builder.header("OpenAI-Organization", organization_id);
}
Ok(builder)
}
}
pub(crate) async fn openai_send_message(builder: RequestBuilder) -> Result<String> {
let data: Value = builder.send().await?.json().await?;
if let Some(err_msg) = data["error"]["message"].as_str() {
bail!("Request failed, {err_msg}");
}
let output = data["choices"][0]["message"]["content"]
.as_str()
.ok_or_else(|| anyhow!("Unexpected response {data}"))?;
Ok(output.to_string())
}
pub(crate) async fn openai_send_message_streaming(
builder: RequestBuilder,
handler: &mut ReplyStreamHandler,
) -> Result<()> {
let res = builder.send().await?;
if !res.status().is_success() {
let data: Value = res.json().await?;
if let Some(err_msg) = data["error"]["message"].as_str() {
bail!("Request failed, {err_msg}");
}
bail!("Request failed");
}
let mut stream = res.bytes_stream().eventsource();
while let Some(part) = stream.next().await {
let chunk = part?.data;
if chunk == "[DONE]" {
break;
}
let data: Value = serde_json::from_str(&chunk)?;
let text = data["choices"][0]["delta"]["content"]
.as_str()
.unwrap_or_default();
if text.is_empty() {
continue;
}
handler.text(text)?;
}
Ok(())
}
pub(crate) fn openai_build_body(data: SendData, model: String) -> Value {
let SendData {
messages,
temperature,
stream,
} = data;
let mut body = json!({
"model": model,
"messages": messages,
});
if let Some(v) = temperature {
body.as_object_mut()
.and_then(|m| m.insert("temperature".into(), json!(v)));
}
if stream {
body.as_object_mut()
.and_then(|m| m.insert("stream".into(), json!(true)));
}
body
}
|
