syda run report

2026-06-30 03:13 UTC  ·  model: grok-4.3

50
total rows
3
LLM calls
853
input tokens
2,056
output tokens
$0.0062
est. cost
71.7s
total time

Summary

Table Rows Mode LLM calls In tokens Out tokens Cost Time Cache
product 50 codegen 3 853 2,056 $0.0062 71.7s HIT
TOTAL 50 3 853 2,056 $0.0062

Per-table details

product 50 rows  ·  codegen  ·  71.7s 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
    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 1,067 $0.00302
brand Semantic LLM 1 284 210 $0.00088
description Semantic LLM 1 284 779 $0.00230