use crate::types::*;
use super::{ChatMessage, LLM, LLMOptions, LLMResult};
use serde_json::json;
use std::future::Future;
use std::pin::Pin;
#[derive(Debug, Clone)]
pub enum TencentModel {
HunyuanPro, HunyuanStd, HunyuanLite, }
impl TencentModel {
fn as_str(&self) -> &'static str {
match self {
TencentModel::HunyuanPro => "hunyuan-pro",
TencentModel::HunyuanStd => "hunyuan-std",
TencentModel::HunyuanLite => "hunyuan-lite",
}
}
}
impl From<TencentModel> for String {
fn from(model: TencentModel) -> Self {
model.as_str().to_string()
}
}
pub struct TencentHunyuan {
secret_id: String,
secret_key: String,
model: TencentModel,
region: String,
client: reqwest::Client,
default_options: LLMOptions,
}
impl TencentHunyuan {
pub fn new(secret_id: String, secret_key: String) -> Self {
Self {
secret_id,
secret_key,
model: TencentModel::HunyuanPro,
region: "ap-guangzhou".to_string(),
client: reqwest::Client::new(),
default_options: LLMOptions::default(),
}
}
pub fn with_model(mut self, model: TencentModel) -> Self {
self.model = model;
self
}
pub fn hunyuan_pro(self) -> Self {
self.with_model(TencentModel::HunyuanPro)
}
pub fn hunyuan_std(self) -> Self {
self.with_model(TencentModel::HunyuanStd)
}
pub fn hunyuan_lite(self) -> Self {
self.with_model(TencentModel::HunyuanLite)
}
pub fn with_region(mut self, region: &str) -> Self {
self.region = region.to_string();
self
}
pub fn with_temperature(mut self, temperature: f32) -> Self {
self.default_options.temperature = Some(temperature);
self
}
pub fn with_max_tokens(mut self, max_tokens: u32) -> Self {
self.default_options.max_tokens = Some(max_tokens);
self
}
pub fn with_top_p(mut self, top_p: f32) -> Self {
self.default_options.top_p = Some(top_p);
self
}
async fn chat_completion(
&self,
messages: &[ChatMessage],
options: &LLMOptions,
) -> Result<String> {
let model_name: String = self.model.clone().into();
let mut request_body = json!({
"Model": model_name,
"Messages": messages.iter().map(|m| json!({
"Role": if m.role == "assistant" { "assistant" } else { "user" },
"Content": m.content,
})).collect::<Vec<_>>(),
});
if let Some(temp) = options.temperature.or(self.default_options.temperature) {
request_body["Temperature"] = json!(temp);
}
if let Some(max_tokens) = options.max_tokens.or(self.default_options.max_tokens) {
request_body["TopP"] = json!(max_tokens);
}
if let Some(top_p) = options.top_p.or(self.default_options.top_p) {
request_body["TopP"] = json!(top_p);
}
let url = format!(
"https://hunyuan.tencentcloudapi.com/?Action=ChatCompletions&Version=2023-09-01&Region={}",
self.region
);
let response = self
.client
.post(&url)
.header("Content-Type", "application/json")
.json(&request_body)
.send()
.await
.map_err(|e| LangHubError::LLMError(format!("Tencent request error: {}", e)))?;
if !response.status().is_success() {
let status = response.status();
let error_text = response.text().await.unwrap_or_default();
return Err(LangHubError::LLMError(format!(
"Tencent API error ({}): {}",
status, error_text
)));
}
let json: serde_json::Value = response
.json()
.await
.map_err(|e| LangHubError::LLMError(format!("JSON parse error: {}", e)))?;
let text = json["Response"]["Choices"][0]["Message"]["Content"]
.as_str()
.ok_or_else(|| {
LangHubError::ParseError("Missing 'Content' field in response".to_string())
})?
.to_string();
Ok(text)
}
}
impl LLM for TencentHunyuan {
fn generate(
&self,
prompt: &str,
) -> Pin<Box<dyn Future<Output = Result<LLMResult>> + Send + '_>> {
let prompt = prompt.to_string();
let options = self.default_options.clone();
Box::pin(async move {
let messages = vec![ChatMessage::user(&prompt)];
let text = self.chat_completion(&messages, &options).await?;
Ok(LLMResult {
text,
metadata: None,
})
})
}
fn generate_with_options(
&self,
prompt: &str,
options: LLMOptions,
) -> Pin<Box<dyn Future<Output = Result<LLMResult>> + Send + '_>> {
let prompt = prompt.to_string();
Box::pin(async move {
let messages = vec![ChatMessage::user(&prompt)];
let text = self.chat_completion(&messages, &options).await?;
Ok(LLMResult {
text,
metadata: None,
})
})
}
fn chat(
&self,
messages: Vec<ChatMessage>,
) -> Pin<Box<dyn Future<Output = Result<LLMResult>> + Send + '_>> {
Box::pin(async move {
let text = self
.chat_completion(&messages, &LLMOptions::default())
.await?;
Ok(LLMResult {
text,
metadata: None,
})
})
}
fn get_model_name(&self) -> &str {
match self.model {
TencentModel::HunyuanPro => "hunyuan-pro",
TencentModel::HunyuanStd => "hunyuan-std",
TencentModel::HunyuanLite => "hunyuan-lite",
}
}
fn get_provider_name(&self) -> &str {
match self.model {
TencentModel::HunyuanPro => "Tencent-Hunyuan-Pro",
TencentModel::HunyuanStd => "Tencent-Hunyuan-Standard",
TencentModel::HunyuanLite => "Tencent-Hunyuan-Lite",
}
}
fn get_provider_enum(&self) -> ModelProvider {
ModelProvider::Tencent
}
fn supports_function_calling(&self) -> bool {
true
}
fn supports_json_mode(&self) -> bool {
true
}
fn max_context_length(&self) -> Option<usize> {
match self.model {
TencentModel::HunyuanPro => Some(32768),
TencentModel::HunyuanStd => Some(16384),
TencentModel::HunyuanLite => Some(8192),
}
}
}