refactor-4th-jan-plan
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IGNY8 VPS (Salman)
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## IGNY8 AI & Configuration Settings Report
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---
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### 1. AI Mode Configuration
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**Architecture**: Two-tier database-driven model configuration system
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#### AIModelConfig Model (Primary)
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Stores all AI model configurations in database, replacing legacy hardcoded constants.
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**Model Types**:
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- Text Generation ✅
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- Image Generation ✅
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**Supported Providers**:
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- OpenAI ✅
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- Runware ✅
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**Key Configuration Fields**:
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| Category | Fields |
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|----------|--------|
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| **Identity** | `model_id`, `display_name`, `model_type`, `provider` |
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| **Text Pricing** | `input_token_rate`, `output_token_rate` (per 1M tokens in USD) |
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| **Text Limits** | `max_input_tokens`, `max_output_tokens` |
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| **Image Pricing** | `cost_per_image` (fixed USD per image) |
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| **Image Config** | `available_sizes` (JSON array of valid dimensions) |
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| **Status** | `is_active`, `is_default`, `sort_order` |
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| **Metadata** | `notes`, `release_date`, `deprecation_date` |
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**Seeded Models**:
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- **OpenAI Text**: gpt-4o-mini, gpt-4o, gpt-5.1(default)
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- **OpenAI Image**: dall-e-3 (default)
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- **Runware**: runware:97@1, google:4@2
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---
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### 2. Global Integration Settings
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**Model**: `GlobalIntegrationSettings` (Singleton - always pk=1)
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Stores **platform-wide** API keys and default settings used by ALL accounts.
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| Provider | API Key Field | Default Model | Parameters |
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|----------|---------------|---------------|------------|
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| **OpenAI** | `openai_api_key` | gpt-5.1 | temperature: 0.7, max_tokens: 8192 |
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| **DALL-E** | `dalle_api_key` | dall-e-3 | size: 1024x1024 |
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| **Runware** | `runware_api_key` | runware:97@1 & google:4@2 | — |
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**Default Provider Settings**:
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- `default_text_provider`: 'openai'
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- `default_image_service`: 'openai'
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**Universal Image Settings**:
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- `image_quality`: standard/hd
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- `image_style`: photorealistic, illustration, etc.
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- `max_in_article_images`: Default 2
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**Critical Security Rule**: API keys exist ONLY in GlobalIntegrationSettings - never stored at account/user level.
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---
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### 4. User-Specific Record Creation (Save Mechanism)
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**Three-Tier Hierarchy**:
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```
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Global (Platform) → Account (Tenant) → User (Personal)
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```
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#### Models Involved
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| Model | Scope | Unique Key |
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|-------|-------|------------|
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| `GlobalIntegrationSettings` | Platform-wide | Singleton (pk=1) |
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| `AccountSettings` | Per-tenant | account + key |
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| `IntegrationSettings` | Per-tenant overrides | account + integration_type |
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| `UserSettings` | Per-user preferences | user + account + key |
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#### Save Flow When User Changes Config
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1. **Frontend** calls POST/PUT to `/api/v1/system/settings/user/`
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2. **Backend** ViewSet extracts user and account from authenticated request
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3. **Check existing**: Query for existing setting with same user + account + key
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4. **Create or Update**:
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- If not exists → `serializer.save(user=user, account=account)` creates new record
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- If exists → Updates the `value` JSON field
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5. **Validation**: Schema validation runs against `SETTINGS_SCHEMAS` before save
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6. **Response** returns the saved setting object
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#### Integration Override Pattern
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For AI/integration settings specifically:
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1. User changes model/temperature (NOT API keys)
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2. System strips any API key fields from request (security)
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3. `IntegrationSettings.objects.get_or_create(account=account, integration_type=type)`
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4. Only allowed override fields saved in `config` JSON field
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5. On read, system merges: Global defaults → Account overrides
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---
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### 6. Image Generation: Internal Cost vs Customer Credit Allocation
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#### Internal Cost (What Platform Pays to Providers)
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| Model | Provider | Cost Per Image (USD) |
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|-------|----------|---------------------|
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| dall-e-3 | OpenAI | $0.05 |
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| runware:97@1 | Runware - Hi Dream Full | ~$0.013 |
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| google:4@2 | Runware - Google Nano Banaan | ~$0.15 |
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**Storage**: AIModelConfig.`cost_per_image` field + legacy `IMAGE_MODEL_RATES` constants
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!!! This need to be fixed rates tobe laoded and used form configured AI Models !! not from hard coded location
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#### Customer Credit Cost (What Customer Pays)
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| Operation | Credits Charged | Price per Credit | Min Charge |
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|-----------|-----------------|------------------|------------|
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| Image Generation | 5 credits | $0.02 | $0.10 |
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| Image Prompt Extraction | 2 credits | $0.01 | $0.02 |
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!!!morre robust image gneartion csoting and pricing mecahnishm required, withotu long chains or workarounds!!!
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**Configuration Model**: `CreditCostConfig`
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- `tokens_per_credit`: 50 (image gen uses fewer tokens per credit = higher cost)
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- `min_credits`: 5
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- `price_per_credit_usd`: $0.02
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#### Margin Calculation
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| Metric | DALL-E 3 Example |
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|--------|------------------|
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| Provider Cost | $0.040 |
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| Customer Charge | $0.10 (5 credits × $0.02) |
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| **Margin** | $0.06 (60% of customer charge) |
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| **Markup** | ~150% |
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**Flow**:
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1. **Before AI call**: Calculate required credits based on image count
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2. **Check balance**: Verify account has sufficient credits
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3. **Deduct credits**: Remove from balance, log transaction
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4. **Execute**: Make AI provider API call
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5. **Track**: `CreditUsageLog` stores both `credits_used` (customer) and `cost_usd` (actual)
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**Revenue Analytics** queries `CreditUsageLog` to calculate:
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- Total revenue = Σ(credits_used × credit_price)
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- Total cost = Σ(cost_usd from provider)
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- Margin = Revenue - Cost
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---
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### Summary
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The IGNY8 platform implements a sophisticated multi-tier configuration system:
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- **AI configuration** is database-driven with fallback to legacy constants
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- **Global settings** hold platform API keys; accounts only override model/parameters
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- **User settings** create per-user records keyed by user + account + key combination
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- **Credit system** charges customers a markup (~150%) over actual provider costs
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- **Several fields are deprecated** including `mobile_image_size`, `reference_id`, and the `get_model()` method
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