# Stage 4 - Prompt Registry, Model Unification, and Final Function Hooks - COMPLETE ✅

## Summary

Successfully created a centralized prompt registry system, unified model configurations, and standardized all AI function execution with clean, minimal function files.

## ✅ Completed Deliverables

### 1. Prompt Registry System Created

#### `ai/prompts.py` - PromptRegistry Class
- **Purpose**: Centralized prompt management with hierarchical resolution
- **Features**:
  - Hierarchical prompt resolution:
    1. Task-level `prompt_override` (if exists)
    2. DB prompt for (account, function)
    3. Default fallback from registry
  - Supports both `.format()` style and `[IGNY8_*]` placeholder replacement
  - Function-to-prompt-type mapping
  - Convenience methods: `get_image_prompt_template()`, `get_negative_prompt()`

#### Prompt Resolution Priority
```python
# Priority 1: Task override
if task.prompt_override:
    use task.prompt_override

# Priority 2: DB prompt
elif DB prompt for (account, function) exists:
    use DB prompt

# Priority 3: Default fallback
else:
    use default from registry
```

### 2. Model Configuration Centralized

#### `ai/settings.py` - MODEL_CONFIG
- **Purpose**: Centralized model configurations for all AI functions
- **Configurations**:
  ```python
  MODEL_CONFIG = {
      "auto_cluster": {
          "model": "gpt-4o-mini",
          "max_tokens": 3000,
          "temperature": 0.7,
          "response_format": {"type": "json_object"},
      },
      "generate_ideas": {
          "model": "gpt-4.1",
          "max_tokens": 4000,
          "temperature": 0.7,
          "response_format": {"type": "json_object"},
      },
      "generate_content": {
          "model": "gpt-4.1",
          "max_tokens": 8000,
          "temperature": 0.7,
          "response_format": None,  # Text output
      },
      "generate_images": {
          "model": "dall-e-3",
          "size": "1024x1024",
          "provider": "openai",
      },
  }
  ```

#### Helper Functions
- `get_model_config(function_name)` - Get full config
- `get_model(function_name)` - Get model name
- `get_max_tokens(function_name)` - Get max tokens
- `get_temperature(function_name)` - Get temperature

### 3. Updated All AI Functions

#### `functions/auto_cluster.py`
- ✅ Uses `PromptRegistry.get_prompt()`
- ✅ Uses `get_model_config()` for model settings
- ✅ Removed direct `get_prompt_value()` calls

#### `functions/generate_ideas.py`
- ✅ Uses `PromptRegistry.get_prompt()` with context
- ✅ Uses `get_model_config()` for model settings
- ✅ Clean prompt building with context variables

#### `functions/generate_content.py`
- ✅ Uses `PromptRegistry.get_prompt()` with task support
- ✅ Uses `get_model_config()` for model settings
- ✅ Supports task-level prompt overrides

#### `functions/generate_images.py`
- ✅ Uses `PromptRegistry.get_prompt()` for extraction
- ✅ Uses `PromptRegistry.get_image_prompt_template()`
- ✅ Uses `PromptRegistry.get_negative_prompt()`
- ✅ Uses `get_model_config()` for model settings

### 4. Updated Engine

#### `engine.py`
- ✅ Uses `get_model_config()` instead of `fn.get_model()`
- ✅ Passes model config to `run_ai_request()`
- ✅ Unified model selection across all functions

### 5. Standardized Response Format

All functions now return consistent format:
```python
{
    "success": True/False,
    "output": "HTML or image_url or data",
    "raw": raw_response_json,  # Optional
    "meta": {
        "word_count": 1536,  # For content
        "keywords": [...],  # For clusters
        "model_used": "gpt-4.1",
        "tokens": 250,
        "cost": 0.000123
    },
    "error": None or error_message
}
```

## 📋 File Changes Summary

| File | Changes | Status |
|------|---------|--------|
| `prompts.py` | Created PromptRegistry class | ✅ Complete |
| `settings.py` | Created MODEL_CONFIG and helpers | ✅ Complete |
| `functions/auto_cluster.py` | Updated to use registry and settings | ✅ Complete |
| `functions/generate_ideas.py` | Updated to use registry and settings | ✅ Complete |
| `functions/generate_content.py` | Updated to use registry and settings | ✅ Complete |
| `functions/generate_images.py` | Updated to use registry and settings | ✅ Complete |
| `engine.py` | Updated to use model config | ✅ Complete |
| `__init__.py` | Exported new modules | ✅ Complete |

## 🔄 Migration Path

### Old Code (Deprecated)
```python
from igny8_core.modules.system.utils import get_prompt_value, get_default_prompt
prompt_template = get_prompt_value(account, 'clustering')
prompt = prompt_template.replace('[IGNY8_KEYWORDS]', keywords_text)
```

### New Code (Recommended)
```python
from igny8_core.ai.prompts import PromptRegistry
from igny8_core.ai.settings import get_model_config

# Get prompt from registry
prompt = PromptRegistry.get_prompt(
    function_name='auto_cluster',
    account=account,
    context={'KEYWORDS': keywords_text}
)

# Get model config
model_config = get_model_config('auto_cluster')
```

## ✅ Verification Checklist

- [x] PromptRegistry created with hierarchical resolution
- [x] MODEL_CONFIG created with all function configs
- [x] All functions updated to use registry
- [x] All functions updated to use model config
- [x] Engine updated to use model config
- [x] Response format standardized
- [x] No direct prompt utility calls in functions
- [x] Task-level overrides supported
- [x] DB prompts supported
- [x] Default fallbacks working

## 🎯 Benefits Achieved

1. **Centralized Prompts**: All prompts in one registry
2. **Hierarchical Resolution**: Task → DB → Default
3. **Model Unification**: All models configured in one place
4. **Easy Customization**: Tenant admins can override prompts
5. **Consistent Execution**: All functions use same pattern
6. **Traceability**: Prompt source clearly identifiable
7. **Minimal Functions**: Functions are clean and focused

## 📝 Prompt Source Traceability

Each prompt execution logs its source:
- `[PROMPT] Using task-level prompt override for generate_content`
- `[PROMPT] Using DB prompt for generate_ideas (account 123)`
- `[PROMPT] Using default prompt for auto_cluster`

## 🚀 Final Structure

```
/ai/
├── functions/
│   ├── auto_cluster.py      ← Uses registry + settings
│   ├── generate_ideas.py    ← Uses registry + settings
│   ├── generate_content.py  ← Uses registry + settings
│   └── generate_images.py   ← Uses registry + settings
├── prompts.py               ← Prompt Registry ✅
├── settings.py              ← Model Configs ✅
├── ai_core.py               ← Unified execution ✅
├── engine.py                ← Uses settings ✅
└── tracker.py               ← Console logging ✅
```

## ✅ Expected Outcomes Achieved

- ✅ All AI executions use common format
- ✅ Prompt customization is dynamic and override-able
- ✅ No duplication across AI functions
- ✅ Every AI task has:
  - ✅ Clean inputs
  - ✅ Unified execution
  - ✅ Standard outputs
  - ✅ Clear error tracking
  - ✅ Prompt traceability