docs/API_CLI_WIRING_COMPLETE.md

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)

• TrainRequest has all Phase 4 parameters
• TrainRequest has all FSDP parameters
• TrainRequest has all advanced optimization parameters
• TrainRequest has checkpoint optimization parameters
• PretrainRequest has all Phase 4 parameters
• PretrainRequest has all FSDP parameters
• PretrainRequest has all advanced optimization parameters
• PretrainRequest has checkpoint optimization parameters

Router (ylff/routers/training.py)

• /train/start passes all parameters to fine_tune_da3()
• /train/pretrain passes all parameters to pretrain_da3_on_arkit()

CLI (ylff/cli.py)

• train start command accepts all parameters
• train start passes all parameters to fine_tune_da3()
• train pretrain command accepts all parameters
• train pretrain passes all parameters to pretrain_da3_on_arkit()

Service Functions

• fine_tune_da3() accepts all parameters
• fine_tune_da3() implements all optimizations
• pretrain_da3_on_arkit() accepts all parameters
• 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

{
  "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

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! 🎉