PHPMem v2.0.1
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1.6.45
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7 days 10 hours 42 minutes 22 seconds
Memory
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512MB
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13,32MB (2.6%)
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498,68MB
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10 162
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11 092
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157
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llm:b7c88214289190e079dc2ee9e4102955e09206bbb147e6ead0434c2ece4517e0
Edit
{
"action": "final",
"content": "## Overall Trend: Strong Growth Followed by Decline\n\nThis dataset has a clear time dimension spanning **May through August 2026**, with activity tracked across multiple tables (batches, jobs, LLM calls). The overall trend shows:\n\n### Growth Phase (May–July 2026)\n- **Batches** grew dramatically from 1 in May to 180 in July (180× increase)\n- **Jobs** increased from 12 in May to 173 in July (14× increase) \n- **LLM calls** surged from 11,205 in June to 30,808 in July (2.7× increase)\n\nThis represents **explosive growth** through mid-summer 2026.\n\n### Decline Phase (August 2026)\n- **Batches** dropped to 93 (48% decline from July)\n- **Jobs** fell to 112 (35% decline from July)\n- **LLM calls** plummeted to 7,347 (76% decline from July)\n\nAugust shows a **sharp contraction** across all activity metrics.\n\n### Conclusion\nThe dataset exhibits a **boom-and-bust pattern** rather than steady growth, flat activity, or regular seasonality. The July peak followed by August's steep drop suggests either:\n- A temporary spike in usage/testing that subsided\n- End of a pilot/trial period\n- Operational changes that reduced activity\n\nWith only 4 months of data, it's too early to determine if this is seasonal or part of a longer-term trend. The pattern is **neither consistently growing nor stable**—it's characterized by rapid expansion followed by significant contraction.",
"charts": [
{
"kind": "line",
"x": "month",
"series": [
"batch_count"
],
"title": "Batches Over Time"
},
{
"kind": "line",
"x": "month",
"series": [
"job_count"
],
"title": "Jobs Over Time"
},
{
"kind": "line",
"x": "month",
"series": [
"llm_call_count"
],
"title": "LLM Calls Over Time"
}
]
}