# Chatbot App Split and Service-Intent Model Ops

The chatbot project now keeps responsibilities separated without moving internal orchestration into Django.

## Apps

- `apps.chat`
  - Chat API/UI.
  - Knowledge-base retrieval.
  - Runtime service detection.
  - internal orchestration microservice execution client.

- `apps.service_intents`
  - Dataset ownership commands.
  - Rebuilds runtime and model-training service intent CSV files.

- `apps.model_ops`
  - Optional Hugging Face model installation.
  - Fine-tuning service-intent/slot extractor.
  - Optional ONNX dynamic quantization.

## Datasets

- `apps/chat/training_models/data/service_intents.csv`
  - Runtime detector only.
  - Original six columns.

- `apps/chat/training_models/data/service_intents_model_training.csv`
  - Model training dataset.
  - Includes `is_service`, `parameters_json`, `missing_fields_json`, `role_context`, `service_action`, and `source`.

## Commands

Rebuild both datasets:

```powershell
python manage.py build_service_intent_datasets
```

Install optional ML dependencies:

```powershell
python -m pip install -r requirements-ml.txt
```

Install the base model, train, and quantize:

```powershell
python manage.py prepare_service_intent_model --rebuild-datasets
```

Dry-run without downloading/training:

```powershell
python manage.py prepare_service_intent_model --dry-run --skip-install
```

## internal orchestration

internal orchestration remains an external microservice. Django still talks to it through the existing service executor.