syda run report

2026-06-28 03:54 UTC  ·  model: grok-3

600
total rows
36
LLM calls
10,236
input tokens
18,882
output tokens
$0.3139
est. cost
703.7s
total time

Summary

Table Rows Mode LLM calls In tokens Out tokens Cost Time Cache
product 600 codegen 36 10,236 18,882 $0.3139 703.7s HIT
TOTAL 600 36 10,236 18,882 $0.3139

Per-table details

product 600 rows  ·  codegen  ·  703.7s HIT 1a1922f2fcf45b1e

Column Strategy Calls In tok Out tok Cost Cache Function
product_id Code-gen 0 0 0 — HIT
View generated function
def generate_product_id(row, col_name):
    return row.name + 1
category Code-gen 0 0 0 — HIT
View generated function
def generate_category(row, col_name):
    import random
    return random.choice(["Electronics", "Clothing", "Home & Kitchen", "Sports", "Books"])
unit_price Code-gen 0 0 0 — HIT
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 0 0 0 — HIT
View generated function
def generate_stock_qty(row, col_name):
    import random
    return random.randint(0, 5000)
product_name Semantic LLM 12 3,420 5,342 $0.09039
brand Semantic LLM 12 3,408 2,600 $0.04922
description Semantic LLM 12 3,408 10,940 $0.17432