//! # Inference Engine
//! 
//! Loads ternary artifacts from the registry and executes inference
//! using sparse ternary kernels.

use crate::training::checkpoint::CheckpointManager;
use crate::core::model_adapter::simd_kernels::ternary_matmul_avx2;
use anyhow::Result;

pub struct InferenceEngine {
    pub cm: CheckpointManager,
}

impl InferenceEngine {
    pub fn new(cm: CheckpointManager) -> Self {
        Self { cm }
    }

    /// Loads a model and performs a mock inference pass.
    pub async fn predict(&self, model_id: &str, input: &[f32]) -> Result<Vec<f32>> {
        let weights = self.cm.load_checkpoint(model_id).await?;
        
        // Mock inference logic
        let mut output = vec![0.0; 10]; // Placeholder output
        println!("Loaded {} parameters for inference.", weights.len());
        
        Ok(output)
    }
}
