PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 6 hours 23 minutes 20 seconds

Memory

Total
512MB
Used
13,32MB (2.6%)
Free
498,68MB

Keys

Current
10 162
Total (since start)
11 092
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
3 / 1 024 max
Total
61 587
Rejected
0
llm:eddfb42fe87a5de0e7ab4a5f7f21656a6484a358e8c276c33f76882e944de9f2
TTL 4 days 5 hours 45 minutes 33 seconds Size 849,00B Export
Edit
{
    "action": "tool_call",
    "reasoning": "The card shows three temporal axes: accounts.year_established (1979-2017), b2b_sales_funnel_pipeline.engage_date (2016-10-20 to 2017-12-27), and close_date (2017-03-01 to 2017-12-31). The gold tables include pre-aggregated time series by year/month/day/hour for both engage_date and close_date. I'll query the monthly trend of pipeline activity (engage_date) and close_date to see the overall pattern. Starting with engage_date monthly counts to identify the trend.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT * FROM b2b_sales_funnel_pipeline_by_engage_date__yyyy_mm ORDER BY engage_date__yyyy_mm",
        "purpose": "Get monthly trend of pipeline engagement activity",
        "source": "gold"
    }
}