syda run report

2026-06-27 22:07 UTC  ·  model: grok-3

50
total rows
3
LLM calls
853
input tokens
1,475
output tokens
$0.0247
est. cost
35.8s
total time

Summary

Table Rows Mode LLM calls In tokens Out tokens Cost Time Cache
product 50 codegen 3 853 1,475 $0.0247 35.8s HIT
TOTAL 50 3 853 1,475 $0.0247

Per-table details

product 50 rows  ·  codegen  ·  35.8s 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 1 285 417 $0.00711
brand Semantic LLM 1 284 196 $0.00379
description Semantic LLM 1 284 862 $0.01378