PHPMem v2.0.1

Version
1.6.45
Uptime
16 days 2 hours 35 minutes 26 seconds

Memory

Total
512MB
Used
9,97MB (1.95%)
Free
502,03MB

Keys

Current
11 914
Total (since start)
35 898
Evictions
0
Reclaimed
745
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
14 / 1 024 max
Total
183 971
Rejected
0
llm:5fde5297f2f7daa0120e89398d521ea56ce809186871155b62a18c7d8aa2a342
TTL 3 days 16 hours 12 minutes 4 seconds Size 854,00B Export
Edit
{
    "action": "tool_call",
    "reasoning": "The evidence shows 141 cities across multiple countries (Country Code 1 appears to be India based on city names like New Delhi, Bangalore; 215 is UK, 216 is USA, 214 is UAE, etc.). I can see the top cities by restaurant count, but I need to understand the country-level distribution first to give a complete geographic picture. Let me query the country distribution.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT \"Country Code\", COUNT(*) as restaurant_count, COUNT(DISTINCT City) as city_count FROM raw.\"Zomato Restaurant Dataset\" GROUP BY \"Country Code\" ORDER BY restaurant_count DESC",
        "purpose": "Get country-level distribution to understand geographic spread",
        "source": "raw"
    }
}