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# 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!** 🎉
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