PHPMem v2.0.1
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1.6.45
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7 days 19 hours 43 seconds
Memory
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512MB
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8,15MB (1.59%)
Free
503,85MB
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6 252
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11 098
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299
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llm:d8f4d9efa78dcf8ae13711c2161ea9c88d838492117b126d3e330fbfe67c135c
Edit
```json
{
"action": "final",
"content": "## Most Important Numeric Metric: LLM Call Cost (USD)\n\nThe **`cost_usd`** column in the `llm_calls` table is the most important numeric metric in this dataset. This conclusion is grounded in three factors:\n\n1. **Business Impact**: In a data intelligence telemetry platform that makes nearly 50,000 AI model invocations, cost directly determines operational viability and ROI\n2. **Scale**: Total LLM costs reached **$609.16** across 38,164 paid calls (77% of all invocations)\n3. **Variance**: Cost spans six orders of magnitude—from $0.000025 to $1.70 per call—making it the primary lever for optimization\n\n### Highest-Cost Records\n\nThe top 10 most expensive LLM calls are dominated by **memory compression** and **table classification** operations:\n\n- **Peak cost**: $1.70 for a single `api.analytical.memory.compress` call (ID 10765) that processed 846,909 input tokens using Gemini 3.1 Pro\n- **Memory compression** accounts for 4 of the top 10, all using either Gemini 3.1 Pro or Fireworks DeepSeek-v4-Pro\n- **Table classification** operations (classify + select_keys) make up the remaining 6 slots, split between Claude Sonnet 4-5 and Gemini 3.1 Pro\n- These 10 calls alone cost **$3.93** (0.6% of total spend)\n\n### Lowest-Cost Records\n\nThe 10 cheapest calls are all **title generation** tasks for the NIA (conversational) interface:\n\n- **Minimum cost**: $0.000025 (2.5¢ per 1,000 calls) using Gemini 3.1 Flash Lite\n- All 10 processed 76–92 input tokens and generated 4–5 output tokens\n- Latency ranged 461–987ms despite the tiny cost\n- These represent the platform's most cost-efficient workload class\n\n### Cost Distribution Context\n\n- **Average cost per call**: $0.012 (median $0.009)\n- **22% of calls were free** (11,196 calls with $0 cost, likely cached or failed requests)\n- The 68,000× cost ratio between highest and lowest paid calls highlights the importance of workload-aware model selection—using Flash Lite for simple tasks and reserving Pro models for complex analytical operations.",
"charts": [
{
"kind": "bar",
"x": "purpose",
"series": ["cost_usd"],
"title": "Top 10 Highest-Cost LLM Calls by Purpose"
}
]
}
```