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 MiniMaxModel {
Abab6_5, Abab6_5S, Abab5_5, Abab5_5S, }
impl MiniMaxModel {
fn as_str(&self) -> &'static str {
match self {
MiniMaxModel::Abab6_5 => "abab6.5-chat",
MiniMaxModel::Abab6_5S => "abab6.5s-chat",
MiniMaxModel::Abab5_5 => "abab5.5-chat",
MiniMaxModel::Abab5_5S => "abab5.5s-chat",
}
}
}
impl From<MiniMaxModel> for String {
fn from(model: MiniMaxModel) -> Self {
model.as_str().to_string()
}
}
pub struct MiniMax {
api_key: String,
group_id: String,
model: MiniMaxModel,
base_url: String,
client: reqwest::Client,
default_options: LLMOptions,
}
impl MiniMax {
pub fn new(api_key: String, group_id: String) -> Self {
Self {
api_key,
group_id,
model: MiniMaxModel::Abab6_5,
base_url: "https://api.minimax.chat/v1".to_string(),
client: reqwest::Client::new(),
default_options: LLMOptions::default(),
}
}
pub fn with_model(mut self, model: MiniMaxModel) -> Self {
self.model = model;
self
}
pub fn abab6_5(self) -> Self {
self.with_model(MiniMaxModel::Abab6_5)
}
pub fn abab6_5s(self) -> Self {
self.with_model(MiniMaxModel::Abab6_5S)
}
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 messages_json: Vec<serde_json::Value> = messages
.iter()
.map(|m| {
let sender_type = if m.role == "assistant" { "BOT" } else { "USER" };
json!({
"sender_type": sender_type,
"text": m.content,
})
})
.collect();
let mut request_body = json!({
"model": model_name,
"messages": messages_json,
"group_id": self.group_id,
});
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["tokens_to_generate"] = json!(max_tokens);
}
if let Some(top_p) = options.top_p.or(self.default_options.top_p) {
request_body["top_p"] = json!(top_p);
}
let response = self
.client
.post(format!("{}/text/chatcompletion", self.base_url))
.header("Authorization", format!("Bearer {}", self.api_key))
.header("Content-Type", "application/json")
.json(&request_body)
.send()
.await
.map_err(|e| LangHubError::LLMError(format!("MiniMax 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!(
"MiniMax 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["reply"]
.as_str()
.ok_or_else(|| {
LangHubError::ParseError("Missing 'reply' field in response".to_string())
})?
.to_string();
Ok(text)
}
}
impl LLM for MiniMax {
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 {
MiniMaxModel::Abab6_5 => "abab6.5",
MiniMaxModel::Abab6_5S => "abab6.5s",
MiniMaxModel::Abab5_5 => "abab5.5",
MiniMaxModel::Abab5_5S => "abab5.5s",
}
}
fn get_provider_name(&self) -> &str {
match self.model {
MiniMaxModel::Abab6_5 => "MiniMax-Abab6.5",
MiniMaxModel::Abab6_5S => "MiniMax-Abab6.5s",
MiniMaxModel::Abab5_5 => "MiniMax-Abab5.5",
MiniMaxModel::Abab5_5S => "MiniMax-Abab5.5s",
}
}
fn get_provider_enum(&self) -> ModelProvider {
ModelProvider::MiniMax
}
fn supports_function_calling(&self) -> bool {
true
}
fn supports_json_mode(&self) -> bool {
true
}
fn max_context_length(&self) -> Option<usize> {
match self.model {
MiniMaxModel::Abab6_5 => Some(32768),
MiniMaxModel::Abab6_5S => Some(8192),
_ => Some(8192),
}
}
}