use super::{OpenAIBackend, OpenAIConfig};
use crate::llms::{
LLMBackend,
api::config::{ApiConfig, LLMApiConfigTrait},
};
use alith_devices::logging::{LoggingConfig, LoggingConfigTrait};
use alith_models::api_model::{ApiLLMModel, openai::OpenAIModelTrait};
use std::sync::Arc;
pub struct OpenAIBackendBuilder {
pub config: OpenAIConfig,
pub model: ApiLLMModel,
}
impl Default for OpenAIBackendBuilder {
fn default() -> Self {
Self {
config: Default::default(),
model: ApiLLMModel::gpt_4_o_mini(),
}
}
}
impl OpenAIBackendBuilder {
pub fn init(self) -> crate::Result<Arc<LLMBackend>> {
Ok(Arc::new(LLMBackend::OpenAI(OpenAIBackend::new(
self.config,
self.model,
)?)))
}
}
impl LLMApiConfigTrait for OpenAIBackendBuilder {
fn api_base_config_mut(&mut self) -> &mut ApiConfig {
&mut self.config.api_config
}
fn api_config(&self) -> &ApiConfig {
&self.config.api_config
}
}
impl OpenAIModelTrait for OpenAIBackendBuilder {
fn model(&mut self) -> &mut ApiLLMModel {
&mut self.model
}
}
impl LoggingConfigTrait for OpenAIBackendBuilder {
fn logging_config_mut(&mut self) -> &mut LoggingConfig {
&mut self.config.logging_config
}
}