PHPMem v2.0.1
Version
1.6.45
Uptime
15 days 14 hours 8 minutes 56 seconds
Memory
Total
512MB
Used
9,38MB (1.83%)
Free
502,62MB
Keys
Current
11 436
Total (since start)
35 066
Evictions
0
Reclaimed
738
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
14 / 1 024 max
Total
174 757
Rejected
0
llm:9e6cc8a2bf93eb754f7e3a3cd1495490bdb0499d3c9c14cad2c723b9a6dfa0c8
Edit
{
"action": "tool_call",
"reasoning": "I have match counts by year showing the temporal evolution of World Cup tournaments. I can see clear structural breaks: tournaments grew from 18 matches (1930) to 64 matches (1998-2022), with notable jumps at 1958 (+3 matches), 1974 (+6), 1982 (+14), and 1998 (+12). To provide a complete temporal analysis, I should also examine the other temporal dimensions in the dataset: attendance patterns over time, FIFA ranking changes between the two snapshots, and the 2026 schedule. Let me query attendance trends from the world_cup table to see if there are notable spikes or dips in tournament attendance.",
"tool": "query_sql",
"args": {
"sql": "SELECT Year, Attendance, AttendanceAvg, Matches, Teams FROM raw.world_cup ORDER BY Year",
"purpose": "Examine attendance trends and tournament structure evolution over time to identify spikes, dips, or breaks",
"source": "raw"
}
}