PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 8 hours 25 minutes 34 seconds

Memory

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

Keys

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

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2 / 1 024 max
Total
63 864
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0
llm:9bc42466cab955bc5ea5a349229232549ee01480f40c5e17784c37194ec809bf
TTL 4 days 3 hours 44 minutes 54 seconds Size 1,03KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "The question asks about natural segmentation opportunities across the dataset. I have evidence on deal stages, sectors, and products, but I should explore temporal patterns (engage/close dates), value distributions, and sales agent/team groupings to identify comprehensive segmentation dimensions. Let me start by examining the temporal distribution of opportunities to see if there are natural time-based cohorts.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT DATE_TRUNC('month', engage_date) as engage_month, COUNT(*) as opportunity_count, COUNT(CASE WHEN deal_stage = 'Won' THEN 1 END) as won_count, AVG(close_value) as avg_value FROM raw.b2b_sales_funnel_pipeline WHERE engage_date IS NOT NULL GROUP BY DATE_TRUNC('month', engage_date) ORDER BY engage_month",
        "purpose": "Examine temporal distribution of opportunities by engagement month to identify time-based cohorts",
        "source": "raw"
    }
}