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|
use super::openai::{openai_build_body, openai_send_message, openai_send_message_streaming};
use super::{
prompt_input_api_base, prompt_input_api_key_optional, prompt_input_max_token,
prompt_input_model_name, Client, ClientConfig, ExtraConfig, ModelInfo, SendData,
};
use crate::config::SharedConfig;
use crate::repl::ReplyStreamHandler;
use anyhow::Result;
use async_trait::async_trait;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
use std::env;
#[derive(Debug)]
pub struct LocalAIClient {
global_config: SharedConfig,
config: LocalAIConfig,
model_info: ModelInfo,
}
#[derive(Debug, Clone, Deserialize)]
pub struct LocalAIConfig {
pub name: Option<String>,
pub api_base: String,
pub api_key: Option<String>,
pub chat_endpoint: Option<String>,
pub models: Vec<LocalAIModel>,
pub extra: Option<ExtraConfig>,
}
#[derive(Debug, Clone, Deserialize)]
pub struct LocalAIModel {
name: String,
max_tokens: usize,
}
#[async_trait]
impl Client for LocalAIClient {
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 LocalAIClient {
pub const NAME: &str = "localai";
pub fn init(global_config: SharedConfig) -> Option<Box<dyn Client>> {
let model_info = global_config.read().model_info.clone();
let config = {
if let ClientConfig::LocalAI(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: &LocalAIConfig) -> &str {
local_config.name.as_deref().unwrap_or(Self::NAME)
}
pub fn list_models(local_config: &LocalAIConfig, index: usize) -> Vec<ModelInfo> {
let client = Self::name(local_config);
local_config
.models
.iter()
.map(|v| ModelInfo::new(client, &v.name, v.max_tokens, index))
.collect()
}
pub fn create_config() -> Result<String> {
let mut client_config = format!("clients:\n - type: {}\n", Self::NAME);
let api_base = prompt_input_api_base()?;
client_config.push_str(&format!(" api_base: {api_base}\n"));
let api_key = prompt_input_api_key_optional()?;
client_config.push_str(&format!(" api_key: {api_key}\n"));
let model_name = prompt_input_model_name()?;
let max_tokens = prompt_input_max_token()?;
client_config.push_str(&format!(
" models:\n - name: {model_name}\n max_tokens: {max_tokens}\n"
));
Ok(client_config)
}
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let api_key = self.config.api_key.clone();
let api_key = api_key.or_else(|| {
let env_prefix = Self::name(&self.config).to_uppercase();
env::var(format!("{env_prefix}_API_KEY")).ok()
});
let body = openai_build_body(data, self.model_info.name.clone());
let chat_endpoint = self
.config
.chat_endpoint
.as_deref()
.unwrap_or("/chat/completions");
let url = format!("{}{chat_endpoint}", self.config.api_base);
let mut builder = client.post(url).json(&body);
if let Some(api_key) = api_key {
builder = builder.bearer_auth(api_key);
}
Ok(builder)
}
}
|
