PHPMem v2.0.1

Version
1.6.45
Uptime
16 days 22 hours 3 minutes 18 seconds

Memory

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

Keys

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

Connections

Current
16 / 1 024 max
Total
192 824
Rejected
0
llm:350a6e76cbb83c1a7f653b5751400f7b5843c88c8c50f6fe0669f9791a7aa7b9
TTL 6 days 5 hours 8 minutes 48 seconds Size 1,03KB Export
Edit
<invoke name="tool_call"> <parameter name="reasoning">No evidence is available in this turn, so I must compute monthly deal counts and amounts from raw before stating any spike or dip. Parse the dirty date and amount strings robustly.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql": "WITH p AS (SELECT CAST(regexp_extract(\"Date dd/mm/yyyy\", '(\\d{1,2})/(\\d{1,2})/(\\d{4})', 3) AS INT) AS yr, CAST(regexp_extract(\"Date dd/mm/yyyy\", '(\\d{1,2})/(\\d{1,2})/(\\d{4})', 2) AS INT) AS mo, TRY_CAST(REPLACE(REPLACE(\"Amount in USD\", ',', ''), ' ', '') AS DOUBLE) AS amt FROM raw.startup_funding) SELECT yr, mo, COUNT(*) AS deals, COUNT(amt) AS deals_with_amount, SUM(amt) AS total_usd, MEDIAN(amt) AS median_usd, MAX(amt) AS max_usd FROM p GROUP BY yr, mo ORDER BY yr, mo", "purpose": "Monthly deal counts and USD totals to find spikes, dips and gaps", "source": "raw"}</parameter> </invoke>