PHPMem v2.0.1
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1.6.45
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7 days 8 hours 57 minutes 30 seconds
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llm:246f3567f981f19798abe4499cf976ffd6ae8f388a7abfc496bb49dee002333a
Edit
I need to profile the numeric columns in this dataset. From the inspect_columns result, I can see that several columns have role=measure, but some are typed as VARCHAR (like billable_input_tokens, billable_output_tokens, cache_read_tokens, cache_write_tokens) which caused the previous query to fail. I need to identify the truly numeric columns and query them properly.
Let me write a query that profiles only the columns that are actually numeric types (DOUBLE, BIGINT, INTEGER, etc.) and excludes the VARCHAR columns.
```json
{
"action": "tool_call",
"reasoning": "I need to profile all numeric columns. From inspect_columns, I can see 'Best score (across scorers)' is DOUBLE. I need to see more columns to identify all numeric ones. Let me inspect the full column list to find all numeric columns.",
"tool": "inspect_columns",
"args": {
"table": "epoch_ai_benchmarks",
"columns": null
}
}
```