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use super::openai::{openai_build_body, OPENAI_TOKENS_COUNT_FACTORS};
use super::{ExtraConfig, MoonshotClient, Model, PromptType, SendData};
use crate::utils::PromptKind;
use anyhow::Result;
use async_trait::async_trait;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
const API_URL: &str = "https://api.moonshot.cn/v1/chat/completions";
const MODELS: [(&str, usize, &str); 3] = [
// https://platform.moonshot.cn/docs/intro
("moonshot-v1-8k", 8000, "text"),
("moonshot-v1-32k", 32000, "text"),
("moonshot-v1-128k", 128000, "text"),
];
#[derive(Debug, Clone, Deserialize)]
pub struct MoonshotConfig {
pub name: Option<String>,
pub api_key: Option<String>,
pub extra: Option<ExtraConfig>,
}
openai_compatible_client!(MoonshotClient);
impl MoonshotClient {
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptType<'static>; 1] = [
("api_key", "API Key:", false, PromptKind::String),
];
pub fn list_models(local_config: &MoonshotConfig) -> Vec<Model> {
let client_name = Self::name(local_config);
MODELS
.into_iter()
.map(|(name, max_input_tokens, capabilities)| {
Model::new(client_name, name)
.set_capabilities(capabilities.into())
.set_max_input_tokens(Some(max_input_tokens))
.set_tokens_count_factors(OPENAI_TOKENS_COUNT_FACTORS)
})
.collect()
}
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let api_key = self.get_api_key().ok();
let mut body = openai_build_body(data, self.model.name.clone());
self.model.merge_extra_fields(&mut body);
let url = API_URL;
debug!("Moonshot Request: {url} {body}");
let mut builder = client.post(url).json(&body);
if let Some(api_key) = api_key {
builder = builder.bearer_auth(api_key);
}
Ok(builder)
}
}
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