2026-06-08 14:19 UTC · model: grok-3
| Table | Rows | Mode | LLM calls | In tokens | Out tokens | Cost | Time | Cache |
|---|---|---|---|---|---|---|---|---|
| product | 1,000 | codegen | 64 | 17,860 | 28,417 | $0.4798 | 727.4s | MISS |
| order | 1,000 | codegen | 6 | 786 | 282 | $0.0066 | 5.8s | MISS |
| TOTAL | 2,000 | 70 | 18,646 | 28,699 | $0.4864 |
17b28c6e5dcb63c2
| Column | Strategy | Calls | In tok | Out tok | Cost | Cache | Function |
|---|---|---|---|---|---|---|---|
| product_id | Code-gen | 1 | 200 | 38 | $0.00117 | MISS | View generated functiondef generate_product_id(row, col_name):
return row.name + 1 |
| category | Code-gen | 1 | 200 | 38 | $0.00117 | MISS | View generated functiondef generate_category(row, col_name):
import random
return random.choice(['Electronics', 'Clothing', 'Home & Kitchen', 'Sports', 'Books']) |
| unit_price | Code-gen | 1 | 200 | 38 | $0.00117 | MISS | View generated functiondef generate_unit_price(row, col_name):
import random
return round(random.uniform(5.0, 500.0), 2) |
| stock_qty | Code-gen | 1 | 200 | 38 | $0.00117 | MISS | View generated functiondef generate_stock_qty(row, col_name):
import random
return random.randint(0, 5000) |
| product_name | Semantic LLM | 20 | 5,700 | 8,520 | $0.14490 | ||
| brand | Semantic LLM | 20 | 5,680 | 4,267 | $0.08105 | ||
| description | Semantic LLM | 20 | 5,680 | 15,478 | $0.24921 |
1e5b150c058c6126
| Column | Strategy | Calls | In tok | Out tok | Cost | Cache | Function |
|---|---|---|---|---|---|---|---|
| order_id | Code-gen | 1 | 131 | 47 | $0.00110 | MISS | View generated functiondef generate_order_id(row, col_name):
return row.name + 1 |
| customer_email | Code-gen | 1 | 131 | 47 | $0.00110 | MISS | View generated functiondef generate_customer_email(row, col_name):
import random
domains = ['example.com', 'mail.com', 'shop.net']
return f'user{random.randint(1000,9999)}@{random.choice(domains)}' |
| order_date | Code-gen | 1 | 131 | 47 | $0.00110 | MISS | View generated functiondef generate_order_date(row, col_name):
import random
from datetime import datetime, timedelta
end = datetime.now()
start = end - timedelta(days=730)
delta = end - start
random_date = start + timedelta(days=random.randint(0, delta.days))
return random_date.strftime('%Y-%m-%d') |
| status | Code-gen | 1 | 131 | 47 | $0.00110 | MISS | View generated functiondef generate_status(row, col_name):
import random
statuses = ['pending', 'processing', 'shipped', 'delivered', 'cancelled']
return random.choice(statuses) |
| quantity | Code-gen | 1 | 131 | 47 | $0.00110 | MISS | View generated functiondef generate_quantity(row, col_name):
import random
return random.randint(1, 10) |
| total_amount | Code-gen | 1 | 131 | 47 | $0.00110 | MISS | View generated functiondef generate_total_amount(row, col_name):
import random
return round(random.uniform(0.0, 500.0), 2) |
| product_id | FK sampler | 0 | 0 | 0 | — |