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codetether_agent/distill/
trainer.rs

1//! LoRA fine-tuning pipeline for self-training.
2
3use anyhow::Result;
4use std::path::Path;
5
6/// Training configuration for LoRA fine-tune.
7#[derive(Debug, Clone)]
8pub struct TrainConfig {
9    pub base_model_path: String,
10    pub output_dir: String,
11    pub lora_rank: usize,
12    pub learning_rate: f32,
13    pub epochs: usize,
14    pub batch_size: usize,
15}
16
17impl Default for TrainConfig {
18    fn default() -> Self {
19        Self {
20            base_model_path: String::new(),
21            output_dir: ".codetether/lora".to_string(),
22            lora_rank: 16,
23            learning_rate: 2e-4,
24            epochs: 3,
25            batch_size: 4,
26        }
27    }
28}
29
30/// Result of a training run.
31#[derive(Debug, Clone)]
32pub struct TrainResult {
33    pub adapter_path: String,
34    pub version: usize,
35    pub train_loss: f32,
36    pub val_loss: f32,
37    pub records_used: usize,
38}
39
40/// Launch a LoRA fine-tuning run (stub — wires to Candle when LoRA support lands).
41pub fn train_lora(config: &TrainConfig, records_path: &Path) -> Result<TrainResult> {
42    let version = std::fs::read_dir(&config.output_dir)
43        .map(|entries| {
44            entries
45                .filter_map(|e| e.ok())
46                .filter_map(|e| {
47                    e.file_name()
48                        .to_str()?
49                        .strip_prefix('v')?
50                        .parse::<usize>()
51                        .ok()
52                })
53                .max()
54                .unwrap_or(0)
55                + 1
56        })
57        .unwrap_or(1);
58    let adapter_path = format!("{}/v{}", config.output_dir, version);
59    tracing::info!(
60        version, records_path = %records_path.display(), base_model = %config.base_model_path,
61        "LoRA training initiated (stub)"
62    );
63    Ok(TrainResult {
64        adapter_path,
65        version,
66        train_loss: 0.0,
67        val_loss: 0.0,
68        records_used: 0,
69    })
70}