14 KiB
Credit System
Last Verified: January 20, 2026
Version: 1.8.4
Status: ✅ Complete (v1.8.3 - Two-Pool Credit System)
Overview
IGNY8 uses a two-pool credit system (v1.8.3):
- Plan Credits (
account.credits): From subscription, reset on renewal - Bonus Credits (
account.bonus_credits): Purchased, NEVER expire
Usage Priority: Plan credits consumed first, bonus credits only when plan = 0.
Credit Flow (Verified Architecture)
┌─────────────────────────────────────────────────────────────────┐
│ CREDIT FLOW │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Plan.included_credits = Monthly allocation (e.g., 10,000) │
│ ↓ (Added on subscription renewal/approval) │
│ Account.credits = Current balance (real-time, decremented) │
│ ↓ (Decremented on each AI operation) │
│ CreditTransaction = Log of all credit changes │
│ CreditUsageLog = Detailed operation tracking │
│ │
│ THESE ARE NOT PARALLEL - They serve different purposes: │
│ • Plan.included_credits = "How many credits per month" │
│ • Account.credits = "How many credits you have RIGHT NOW" │
│ │
└─────────────────────────────────────────────────────────────────┘
Where credits are added to Account.credits:
billing/views.py- When manual payment is approvedpayment_service.py- When credit package purchasedcredit_service.py- Genericadd_credits()method
Simplified Limits (v1.5.0)
Hard Limits (Never Reset)
| Limit | Plan Field | Account Field | Description |
|---|---|---|---|
| Sites | max_sites |
(count of Site objects) | Maximum sites per account |
| Users | max_users |
(count of User objects) | Maximum team members |
| Keywords | max_keywords |
(count of Keyword objects) | Total keywords allowed |
Monthly Limits (Reset on Billing Cycle)
| Limit | Plan Field | Account Field | Description |
|---|---|---|---|
| Ahrefs Queries | max_ahrefs_queries |
usage_ahrefs_queries |
Live Ahrefs API queries per month |
Removed Limits (Now Credit-Based)
The following limits were removed in v1.5.0 - credits handle these:
max_clusters→ Creditsmax_content_ideas→ Creditsmax_content_words→ Creditsmax_images_basic→ Creditsmax_images_premium→ Creditsmax_image_prompts→ Credits
Plan Tiers
| Plan | Credits/Month | Sites | Users | Keywords | Ahrefs Queries |
|---|---|---|---|---|---|
| Free | 500 | 1 | 1 | 100 | 0 |
| Starter | 5,000 | 3 | 2 | 500 | 50 |
| Growth | 15,000 | 10 | 5 | 2,000 | 200 |
| Scale | 50,000 | Unlimited | 10 | 10,000 | 500 |
Credit Operations
Token-Based Operations (Text AI)
Credits calculated from actual token usage:
credits = ceil(total_tokens / tokens_per_credit)tokens_per_creditdefined per model inAIModelConfig
| Operation | Model Example | tokens_per_credit |
|---|---|---|
| Keyword Clustering | gpt-4o-mini | 10,000 |
| Idea Generation | gpt-4o-mini | 10,000 |
| Content Generation | gpt-4o | 1,000 |
| Content Optimization | gpt-4o-mini | 10,000 |
Fixed-Cost Operations (Image AI) - v1.7.1 Complete
Credits per image based on quality tier:
| Quality Tier | Model Example | Credits/Image |
|---|---|---|
| Basic | runware:97@1 | 1 |
| Quality | dall-e-3 | 5 |
| Premium | google:4@2 | 15 |
Image Generation Credit Flow (v1.7.1):
- Pre-check:
CreditService.check_credits_for_image()verifies sufficient credits - Generation: Images generated via
process_image_generation_queueCelery task - Post-deduct:
CreditService.deduct_credits_for_image()called per successful image - Logging:
CreditUsageLog+CreditTransaction+AITaskLogentries created - Notifications:
NotificationService.notify_images_complete/failed()called
Free Operations
| Operation | Cost |
|---|---|
| Add keyword (manual) | 0 |
| Create content task | 0 |
| Edit content | 0 |
| Publish to WordPress | 0 |
| Sync from WordPress | 0 |
Database Models
Account (Credit Balance)
class Account(models.Model):
credits = models.IntegerField(default=0) # Current balance
usage_ahrefs_queries = models.IntegerField(default=0) # Monthly Ahrefs usage
Plan (Allocations)
class Plan(models.Model):
included_credits = models.IntegerField(default=0) # Monthly allocation
max_sites = models.IntegerField(default=1)
max_users = models.IntegerField(default=1)
max_keywords = models.IntegerField(default=100)
max_ahrefs_queries = models.IntegerField(default=0) # Monthly Ahrefs limit
CreditTransaction (Ledger)
class CreditTransaction(models.Model):
account = models.ForeignKey(Account)
transaction_type = models.CharField() # purchase/subscription/refund/deduction
amount = models.DecimalField() # Positive (add) or negative (deduct)
balance_after = models.DecimalField()
description = models.CharField()
created_at = models.DateTimeField()
CreditUsageLog (Analytics)
class CreditUsageLog(models.Model):
account = models.ForeignKey(Account)
operation_type = models.CharField() # clustering/content_generation/image_generation
credits_used = models.DecimalField()
model_used = models.CharField()
tokens_input = models.IntegerField()
tokens_output = models.IntegerField()
created_at = models.DateTimeField()
Business Logic
CreditService
Location: backend/igny8_core/business/billing/services/credit_service.py
Key Methods:
class CreditService:
@staticmethod
def check_credits(account, required_credits):
"""Check if sufficient credits available, raises InsufficientCreditsError if not"""
@staticmethod
def deduct_credits_for_operation(account, operation_type, model, tokens_in, tokens_out, metadata=None):
"""Deduct credits and log usage after AI operation"""
@staticmethod
def add_credits(account, amount, transaction_type, description):
"""Add credits (admin/purchase/subscription)"""
@staticmethod
def calculate_credits_from_tokens(operation_type, tokens_in, tokens_out, model=None):
"""Calculate credits based on token usage and model"""
LimitService
Location: backend/igny8_core/business/billing/services/limit_service.py
Key Methods:
class LimitService:
HARD_LIMIT_MAPPINGS = {
'sites': {...},
'users': {...},
'keywords': {...},
}
MONTHLY_LIMIT_MAPPINGS = {
'ahrefs_queries': {...},
}
@classmethod
def check_hard_limit(cls, account, limit_name, additional_count=1):
"""Check if adding items would exceed hard limit"""
@classmethod
def check_monthly_limit(cls, account, limit_name, additional_count=1):
"""Check if operation would exceed monthly limit"""
@classmethod
def increment_monthly_usage(cls, account, limit_name, count=1):
"""Increment monthly usage counter"""
Usage in AI Operations
# In content generation service
def generate_content(task, user):
account = task.site.account
# 1. Pre-check credits (estimated)
estimated_credits = 50 # Estimate for content generation
CreditService.check_credits(account, estimated_credits)
# 2. Execute AI function
content, usage = ai_engine.generate_content(task)
# 3. Deduct actual credits based on token usage
CreditService.deduct_credits_for_operation(
account=account,
operation_type='content_generation',
model=usage.model,
tokens_in=usage.input_tokens,
tokens_out=usage.output_tokens,
metadata={'content_id': content.id}
)
return content
API Responses
Successful Operation
{
"success": true,
"data": { ... },
"credits_used": 15,
"balance": 9985
}
Insufficient Credits
HTTP 402 Payment Required
{
"success": false,
"error": "Insufficient credits",
"code": "INSUFFICIENT_CREDITS",
"required": 50,
"available": 25
}
Limit Exceeded
HTTP 402 Payment Required
{
"success": false,
"error": "Keyword limit reached",
"code": "HARD_LIMIT_EXCEEDED",
"limit": "keywords",
"current": 500,
"max": 500
}
Frontend Handling
Credit Balance Display
- Header shows current credit balance
- Updates after each operation
- Warning at low balance (< 10%)
Pre-Operation Check
import { checkCreditsBeforeOperation } from '@/utils/creditCheck';
import { useInsufficientCreditsModal } from '@/components/billing/InsufficientCreditsModal';
function ContentGenerator() {
const { showModal } = useInsufficientCreditsModal();
const handleGenerate = async () => {
// Check credits before operation
const check = await checkCreditsBeforeOperation(50); // estimated cost
if (!check.hasEnoughCredits) {
showModal({
requiredCredits: check.requiredCredits,
availableCredits: check.availableCredits,
});
return;
}
// Proceed with generation
await generateContent();
};
}
API Endpoints
Credit Balance
GET /api/v1/billing/balance/
Response:
{
"credits": 9500,
"plan_credits_per_month": 10000,
"credits_used_this_month": 500,
"credits_remaining": 9500
}
Usage Limits
GET /api/v1/billing/usage/limits/
Response:
{
"limits": {
"sites": { "current": 2, "limit": 5, "type": "hard" },
"users": { "current": 2, "limit": 3, "type": "hard" },
"keywords": { "current": 847, "limit": 1000, "type": "hard" },
"ahrefs_queries": { "current": 23, "limit": 50, "type": "monthly" }
},
"days_until_reset": 18
}
Usage Analytics
GET /api/v1/account/usage/analytics/?days=30
Response:
{
"period_days": 30,
"start_date": "2025-12-06",
"end_date": "2026-01-05",
"current_balance": 9500,
"total_usage": 500,
"total_purchases": 0,
"usage_by_type": [
{ "transaction_type": "content_generation", "total": -350, "count": 15 },
{ "transaction_type": "image_generation", "total": -100, "count": 20 },
{ "transaction_type": "clustering", "total": -50, "count": 10 }
],
"daily_usage": [
{ "date": "2026-01-05", "usage": 25, "purchases": 0, "net": -25 }
]
}
Credit Allocation
Credits are added to Account.credits when:
- Subscription Renewal -
Plan.included_creditsadded monthly - Payment Approval - Manual payments approved by admin
- Credit Purchase - Credit packages bought by user
- Admin Adjustment - Manual credit grants/adjustments
Monthly Reset
Monthly limits (Ahrefs queries) reset on billing cycle:
# In Account model
def reset_monthly_usage(self):
"""Reset monthly usage counters (called on billing cycle renewal)"""
self.usage_ahrefs_queries = 0
self.save(update_fields=['usage_ahrefs_queries'])
Admin Operations
Manual Credit Adjustment
Via Django Admin or API:
from igny8_core.business.billing.services.credit_service import CreditService
# Add credits
CreditService.add_credits(
account=account,
amount=1000,
transaction_type='adjustment',
description='Customer support adjustment'
)
Usage Audit
All credit changes logged in CreditTransaction with:
- Timestamp
- Transaction type
- Amount (positive or negative)
- Balance after transaction
- Description
All AI operations logged in CreditUsageLog with:
- Operation type
- Credits used
- Model used
- Token counts
- Related object metadata
Image Generation Credit System (v1.7.1)
Implementation Details
Files:
CreditService.check_credits_for_image()- credit_service.py:307-335process_image_generation_queuecredit check - tasks.py:290-319deduct_credits_for_image()- tasks.py:745-770- AITaskLog logging - tasks.py:838-875
- Notifications - tasks.py:877-895
Credit Flow for Image Generation
1. User triggers image generation
↓
2. CreditService.check_credits_for_image(account, model, num_images)
- Calculates: credits_per_image × num_images
- Raises InsufficientCreditsError if balance < required
↓
3. process_image_generation_queue() processes each image
↓
4. For each successful image:
CreditService.deduct_credits_for_image()
- Creates CreditUsageLog entry
- Creates CreditTransaction entry
- Updates account.credits balance
↓
5. After all images processed:
- AITaskLog entry created
- Notification created (success or failure)
Logging Locations
| Table | What's Logged | When |
|---|---|---|
| CreditTransaction | Credit deduction (financial ledger) | Per image |
| CreditUsageLog | Usage details (model, cost, credits) | Per image |
| AITaskLog | Task execution summary | After batch |
| Notification | User notification | After batch |
Automation Compatibility
Image generation credits work identically for:
- Manual image generation (from UI)
- Automation Stage 6 (scheduled/manual automation runs)
Both call process_image_generation_queue which handles:
- Credit checking before generation
- Credit deduction after each successful image
- Proper logging to all tables