PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 16 hours 37 minutes 33 seconds

Memory

Total
512MB
Used
10,51MB (2.05%)
Free
501,49MB

Keys

Current
7 977
Total (since start)
11 096
Evictions
0
Reclaimed
265
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
2 / 1 024 max
Total
71 163
Rejected
0
llm:4e9a7763d5f0f4b72f3d3a886f0ee3242a05109a81395897a5042706c3454bb6
TTL 3 days 19 hours 31 minutes 20 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"
    }
}