syda run report

2026-06-08 14:05 UTC  ·  model: grok-3

600
total rows
40
LLM calls
11,028
input tokens
16,690
output tokens
$0.2834
est. cost
514.9s
total time

Summary

Table Rows Mode LLM calls In tokens Out tokens Cost Time Cache
product 600 codegen 40 11,028 16,690 $0.2834 514.9s MISS
TOTAL 600 40 11,028 16,690 $0.2834

Per-table details

product 600 rows  ·  codegen  ·  514.9s MISS 1a1922f2fcf45b1e

Column Strategy Calls In tok Out tok Cost Cache Function
product_id Code-gen 1 198 40 $0.00119 MISS
View generated function
def generate_product_id(row, col_name):
    return row.name + 1
category Code-gen 1 198 40 $0.00119 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 40 $0.00119 MISS
View generated function
def generate_unit_price(row, col_name):
    import random
    val = random.uniform(5.0, 500.0)
    return round(val, 2)
stock_qty Code-gen 1 198 40 $0.00119 MISS
View generated function
def generate_stock_qty(row, col_name):
    import random
    return random.randint(0, 5000)
product_name Semantic LLM 12 3,420 4,868 $0.08328
brand Semantic LLM 12 3,408 2,545 $0.04840
description Semantic LLM 12 3,408 9,117 $0.14698