syda run report

2026-06-28 03:56 UTC  ·  model: grok-3

50
total rows
3
LLM calls
853
input tokens
1,529
output tokens
$0.0255
est. cost
62.5s
total time

Summary

Table Rows Mode LLM calls In tokens Out tokens Cost Time Cache
product 50 codegen 3 853 1,529 $0.0255 62.5s HIT
TOTAL 50 3 853 1,529 $0.0255

Per-table details

product 50 rows  ·  codegen  ·  62.5s 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
    return round(random.uniform(5.0, 500.0), 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 1 285 522 $0.00869
brand Semantic LLM 1 284 212 $0.00403
description Semantic LLM 1 284 795 $0.01278