# API & CLI Wiring - Complete Verification

All optimizations are now fully wired through the API and CLI.

## ✅ Complete Parameter List

### Phase 4 Optimizations

1. **BF16 Support**

   - API: `use_bf16: bool`
   - CLI: `--use-bf16`
   - Service: ✅ Integrated

2. **Gradient Clipping**

   - API: `gradient_clip_norm: Optional[float]`
   - CLI: `--gradient-clip-norm`
   - Service: ✅ Integrated

3. **Learning Rate Finder**

   - API: `find_lr: bool`
   - CLI: `--find-lr`
   - Service: ✅ Integrated

4. **Batch Size Finder**
   - API: `find_batch_size: bool`
   - CLI: `--find-batch-size`
   - Service: ✅ Integrated

### FSDP Options

5. **FSDP**

   - API: `use_fsdp: bool`
   - CLI: `--use-fsdp`
   - Service: ✅ Integrated

6. **FSDP Sharding Strategy**

   - API: `fsdp_sharding_strategy: str`
   - CLI: `--fsdp-sharding-strategy`
   - Service: ✅ Integrated

7. **FSDP Mixed Precision**
   - API: `fsdp_mixed_precision: Optional[str]`
   - CLI: `--fsdp-mixed-precision`
   - Service: ✅ Integrated

### Advanced Optimizations

8. **QAT**

   - API: `use_qat: bool`
   - CLI: `--use-qat`
   - Service: ✅ Integrated

9. **QAT Backend**

   - API: `qat_backend: str`
   - CLI: `--qat-backend`
   - Service: ✅ Integrated

10. **Sequence Parallelism**

    - API: `use_sequence_parallel: bool`
    - CLI: `--use-sequence-parallel`
    - Service: ✅ Integrated

11. **Sequence Parallel GPUs**

    - API: `sequence_parallel_gpus: int`
    - CLI: `--sequence-parallel-gpus`
    - Service: ✅ Integrated

12. **Activation Recomputation**
    - API: `activation_recompute_strategy: Optional[str]`
    - CLI: `--activation-recompute-strategy`
    - Service: ✅ Integrated

### Checkpoint Options

13. **Async Checkpoint**

    - API: `async_checkpoint: bool`
    - CLI: `--async-checkpoint`
    - Service: ✅ Integrated

14. **Compress Checkpoint**
    - API: `compress_checkpoint: bool`
    - CLI: `--compress-checkpoint`
    - Service: ✅ Integrated

---

## 🔄 Data Flow Verification

### API Request Flow

```
POST /api/v1/train/start
    ↓
TrainRequest (Pydantic validation)
    ↓
Router: /train/start endpoint
    ↓
fine_tune_da3() service function
    ↓
All optimizations applied
```

### CLI Command Flow

```
ylff train start ...
    ↓
CLI function parameters
    ↓
fine_tune_da3() service function
    ↓
All optimizations applied
```

---

## ✅ Verification Checklist

### API Models (`ylff/models/api_models.py`)

- [x] `TrainRequest` has all Phase 4 parameters
- [x] `TrainRequest` has all FSDP parameters
- [x] `TrainRequest` has all advanced optimization parameters
- [x] `TrainRequest` has checkpoint optimization parameters
- [x] `PretrainRequest` has all Phase 4 parameters
- [x] `PretrainRequest` has all FSDP parameters
- [x] `PretrainRequest` has all advanced optimization parameters
- [x] `PretrainRequest` has checkpoint optimization parameters

### Router (`ylff/routers/training.py`)

- [x] `/train/start` passes all parameters to `fine_tune_da3()`
- [x] `/train/pretrain` passes all parameters to `pretrain_da3_on_arkit()`

### CLI (`ylff/cli.py`)

- [x] `train start` command accepts all parameters
- [x] `train start` passes all parameters to `fine_tune_da3()`
- [x] `train pretrain` command accepts all parameters
- [x] `train pretrain` passes all parameters to `pretrain_da3_on_arkit()`

### Service Functions

- [x] `fine_tune_da3()` accepts all parameters
- [x] `fine_tune_da3()` implements all optimizations
- [x] `pretrain_da3_on_arkit()` accepts all parameters
- [x] `pretrain_da3_on_arkit()` implements all optimizations

---

## 📋 Complete Parameter Mapping

| Parameter                       | API Model | Router | CLI | Service |
| ------------------------------- | --------- | ------ | --- | ------- |
| `use_bf16`                      | ✅        | ✅     | ✅  | ✅      |
| `gradient_clip_norm`            | ✅        | ✅     | ✅  | ✅      |
| `find_lr`                       | ✅        | ✅     | ✅  | ✅      |
| `find_batch_size`               | ✅        | ✅     | ✅  | ✅      |
| `use_fsdp`                      | ✅        | ✅     | ✅  | ✅      |
| `fsdp_sharding_strategy`        | ✅        | ✅     | ✅  | ✅      |
| `fsdp_mixed_precision`          | ✅        | ✅     | ✅  | ✅      |
| `use_qat`                       | ✅        | ✅     | ✅  | ✅      |
| `qat_backend`                   | ✅        | ✅     | ✅  | ✅      |
| `use_sequence_parallel`         | ✅        | ✅     | ✅  | ✅      |
| `sequence_parallel_gpus`        | ✅        | ✅     | ✅  | ✅      |
| `activation_recompute_strategy` | ✅        | ✅     | ✅  | ✅      |
| `async_checkpoint`              | ✅        | ✅     | ✅  | ✅      |
| `compress_checkpoint`           | ✅        | ✅     | ✅  | ✅      |

**Status: 100% Complete** ✅

---

## 🎯 Usage Examples

### Complete API Request

```json
{
  "training_data_dir": "data/training",
  "epochs": 10,
  "lr": 1e-5,
  "batch_size": 1,
  "use_bf16": true,
  "gradient_clip_norm": 1.0,
  "find_lr": true,
  "find_batch_size": true,
  "use_fsdp": true,
  "fsdp_sharding_strategy": "FULL_SHARD",
  "fsdp_mixed_precision": "bf16",
  "use_qat": false,
  "qat_backend": "fbgemm",
  "use_sequence_parallel": false,
  "sequence_parallel_gpus": 1,
  "activation_recompute_strategy": "checkpoint",
  "async_checkpoint": true,
  "compress_checkpoint": true
}
```

### Complete CLI Command

```bash
ylff train start data/training \
    --epochs 10 \
    --lr 1e-5 \
    --batch-size 1 \
    --use-bf16 \
    --gradient-clip-norm 1.0 \
    --find-lr \
    --find-batch-size \
    --use-fsdp \
    --fsdp-sharding-strategy FULL_SHARD \
    --fsdp-mixed-precision bf16 \
    --use-qat \
    --qat-backend fbgemm \
    --use-sequence-parallel \
    --sequence-parallel-gpus 4 \
    --activation-recompute-strategy hybrid \
    --async-checkpoint \
    --compress-checkpoint
```

---

## ✅ Final Status

**All optimizations are fully wired through:**

- ✅ API request models
- ✅ Router endpoints
- ✅ CLI commands
- ✅ Service functions

**Everything is connected end-to-end!** 🎉