use super::openai::OpenAiClient;
use super::types::*;
use super::LlmClient;
use crate::retry::RetryConfig;
use anyhow::Result;
use async_trait::async_trait;
use tokio::sync::mpsc;
use tokio_util::sync::CancellationToken;
#[cfg(test)]
use {super::http::HttpClient, std::sync::Arc};
const GLM_BASE_URL: &str = "https://open.bigmodel.cn";
const GLM_CHAT_PATH: &str = "/api/paas/v4/chat/completions";
pub struct ZhipuClient(OpenAiClient);
impl ZhipuClient {
pub fn new(api_key: String, model: String) -> Self {
Self(
OpenAiClient::new(api_key, model)
.with_provider_name("zhipu")
.with_base_url(GLM_BASE_URL.to_string())
.with_chat_completions_path(GLM_CHAT_PATH),
)
}
pub fn with_temperature(mut self, temperature: f32) -> Self {
self.0 = self.0.with_temperature(temperature);
self
}
pub fn with_max_tokens(mut self, max_tokens: usize) -> Self {
self.0 = self.0.with_max_tokens(max_tokens);
self
}
pub fn with_base_url(mut self, base_url: String) -> Self {
self.0 = self.0.with_base_url(base_url);
self
}
pub fn with_retry_config(mut self, retry_config: RetryConfig) -> Self {
self.0 = self.0.with_retry_config(retry_config);
self
}
#[cfg(test)]
pub fn with_http_client(mut self, http: Arc<dyn HttpClient>) -> Self {
self.0 = self.0.with_http_client(http);
self
}
}
#[async_trait]
impl LlmClient for ZhipuClient {
async fn complete(
&self,
messages: &[Message],
system: Option<&str>,
tools: &[ToolDefinition],
) -> Result<LlmResponse> {
self.0.complete(messages, system, tools).await
}
async fn complete_streaming(
&self,
messages: &[Message],
system: Option<&str>,
tools: &[ToolDefinition],
cancel_token: CancellationToken,
) -> Result<mpsc::Receiver<StreamEvent>> {
self.0
.complete_streaming(messages, system, tools, cancel_token)
.await
}
}