PHPMem v2.0.1

Version
1.6.45
Uptime
17 days 7 hours 55 minutes 7 seconds

Memory

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512MB
Used
12,72MB (2.48%)
Free
499,28MB

Keys

Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
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0
Evicted Unfetched
0

Connections

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14 / 1 024 max
Total
226 715
Rejected
0
llm:5d5ee564eca85162f59fa9396c065ccd79bb2aba4c6427bcf229c1d1d7adf75b
TTL 3 days 19 hours 37 minutes 1 second Size 1,03KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "I have evidence showing industry distribution (63 industries), temporal patterns (34 months), and deal size distribution (69 distinct amounts). Now I need to examine the Valuation column to understand valuation-based segmentation. The previous query failed because Valuation contains both 'na' and 'n/a' values. I'll write a corrected query that handles both null representations and examines the valuation distribution.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN Valuation IN ('na', 'n/a', '') THEN 'Not disclosed' ELSE 'Disclosed' END AS valuation_status, COUNT(*) AS deal_count, ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER (), 1) AS pct_of_deals FROM raw.\"Largest US Venture Funding Deals Of 2023\" GROUP BY 1 ORDER BY 2 DESC",
        "purpose": "Determine how many deals have disclosed vs undisclosed valuations to assess valuation as a segmentation dimension",
        "source": "raw"
    }
}