syda run report

2026-06-08 14:07 UTC  ·  model: grok-3

50
total rows
7
LLM calls
1,645
input tokens
1,502
output tokens
$0.0275
est. cost
122.5s
total time

Summary

Table Rows Mode LLM calls In tokens Out tokens Cost Time Cache
product 50 codegen 7 1,645 1,502 $0.0275 122.5s MISS
TOTAL 50 7 1,645 1,502 $0.0275

Per-table details

product 50 rows  ·  codegen  ·  122.5s MISS 1a1922f2fcf45b1e

Column Strategy Calls In tok Out tok Cost Cache Function
product_id Code-gen 1 198 38 $0.00116 MISS
View generated function
def generate_product_id(row, col_name):
    return row.name + 1
category Code-gen 1 198 38 $0.00116 MISS
View generated function
def generate_category(row, col_name):
    import random
    return random.choice(['Electronics', 'Clothing', 'Home & Kitchen', 'Sports', 'Books'])
unit_price Code-gen 1 198 38 $0.00116 MISS
View generated function
def generate_unit_price(row, col_name):
    import random
    return round(random.uniform(5.0, 500.0), 2)
stock_qty Code-gen 1 198 38 $0.00116 MISS
View generated function
def generate_stock_qty(row, col_name):
    import random
    return random.randint(0, 5000)
product_name Semantic LLM 1 285 419 $0.00714
brand Semantic LLM 1 284 208 $0.00397
description Semantic LLM 1 284 723 $0.01170