PHPMem v2.0.1

Version
1.6.45
Uptime
15 days 11 hours 58 minutes 8 seconds

Memory

Total
512MB
Used
16,60MB (3.24%)
Free
495,40MB

Keys

Current
18 895
Total (since start)
34 930
Evictions
0
Reclaimed
494
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
14 / 1 024 max
Total
173 047
Rejected
0
llm:646f1e4082ca87bc76fe4e8cee7e6cc313765ea5b7bc71b31b0ae21d3be8442e
TTL 4 days 6 hours 49 minutes 22 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"
    }
}