# Data Model: Gemini API Migration

**Feature Branch**: `006-gemini-api-migration`
**Created**: 2025-12-14

## Overview

This migration does not introduce new database entities. It replaces the AI service layer implementation while maintaining existing data contracts.

## Service Classes

### GeminiService (replaces OpenAIService)

**File**: `app/services/gemini_service.py`

| Attribute | Type | Description |
|-----------|------|-------------|
| client | genai.Client | Google GenAI client instance |
| model | str | Default model: "gemini-2.0-flash-exp" |

**Methods** (signature-compatible with OpenAIService):

| Method | Parameters | Return Type | Description |
|--------|------------|-------------|-------------|
| get_chat_response | prompt: str, history: List[dict] = None | str | Generate chat response using Gemini |
| translate_to_urdu | content: str | str | Translate English to Urdu |
| personalize_content | content: str, software_level: str, hardware_level: str, learning_goals: str | dict | Personalize content based on user profile |

### EmbeddingsService (modified)

**File**: `app/services/embeddings_service.py`

| Attribute | Type | Description |
|-----------|------|-------------|
| client | genai.Client | Google GenAI client instance |
| model | str | "text-embedding-004" |

**Methods**:

| Method | Parameters | Return Type | Description |
|--------|------------|-------------|-------------|
| create_embedding | text: str | List[float] | Generate embedding vector for text |

## Configuration Changes

### Settings Class (app/config.py)

**Removed Fields**:
- `OPENAI_API_KEY: str`
- `OPENAI_MODEL_CHAT: str`
- `OPENAI_MODEL_EMBEDDING: str`

**Added Fields**:
- `GEMINI_API_KEY: str`
- `GEMINI_MODEL_CHAT: str = "gemini-2.0-flash-exp"`
- `GEMINI_MODEL_EMBEDDING: str = "text-embedding-004"`

## Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| GEMINI_API_KEY | Yes | Google AI API key for Gemini services |
| OPENAI_API_KEY | Removed | No longer required |

## Data Flow (Unchanged)

```
Request → Route → Service (GeminiService) → Google Gemini API → Response
                       ↓
                    EmbeddingsService → Gemini text-embedding-004
                       ↓
                    Qdrant (unchanged)
```

## Embedding Dimension Change

| Service | Model | Dimensions |
|---------|-------|------------|
| OpenAI (current) | text-embedding-3-small | 1536 |
| Gemini (new) | text-embedding-004 | 768 |

**Impact**: Existing Qdrant collections indexed with OpenAI embeddings are incompatible with Gemini embeddings. Re-indexing is out of scope per specification.

## Message Format Mapping

### Chat History Conversion

**OpenAI Format** (input from routes):
```python
[
    {"role": "system", "content": "..."},
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
]
```

**Gemini Format** (internal conversion):
```python
# System message → system_instruction config
# user → user
# assistant → model
[
    types.Content(role="user", parts=[types.Part(text="...")]),
    types.Content(role="model", parts=[types.Part(text="...")])
]
```

## No Schema Changes

This migration does not modify:
- Database tables
- Pydantic request/response models
- API endpoint signatures
- Route patterns