{
    "action": "tool_call",
    "reasoning": "I need to identify correlations between columns. From step-0, I can see the columns are all VARCHAR type, which means numeric values are stored as text. The step-2 result shows the actual data structure - it appears to be a summary table with days of the week and call metrics. To find correlations, I need to: 1) Cast the numeric VARCHAR columns to actual numeric types, 2) Calculate correlation coefficients between pairs of numeric columns. The key numeric columns appear to be: Total Calls, AI Handled, Human Handled, Voicemail, AI Resolution %, and Human %. I'll write a SQL query to compute pairwise correlations between these metrics.",
    "tool": "query_sql",
    "sql": "WITH cleaned AS (SELECT CAST(REPLACE(\"Total Calls\", ',', '') AS INTEGER) AS total_calls, CAST(REPLACE(\"AI Handled\", ',', '') AS INTEGER) AS ai_handled, CAST(REPLACE(\"Human Handled\", ',', '') AS INTEGER) AS human_handled, CAST(REPLACE(\"Voicemail\", ',', '') AS INTEGER) AS voicemail, CAST(REPLACE(\"AI Resolution %\", '%', '') AS DECIMAL) AS ai_resolution_pct, CAST(REPLACE(\"Human %\", '%', '') AS DECIMAL) AS human_pct FROM raw.callyeah_analytics_2026_07_23 WHERE Day NOT IN ('TOTAL', '', ' ') AND \"Total Calls\" != '' AND \"Total Calls\" NOT LIKE '%Total%') SELECT 'Total Calls vs AI Handled' AS correlation_pair, CORR(total_calls, ai_handled) AS correlation FROM cleaned UNION ALL SELECT 'Total Calls vs Human Handled', CORR(total_calls, human_handled) FROM cleaned UNION ALL SELECT 'Total Calls vs Voicemail', CORR(total_calls, voicemail) FROM cleaned UNION ALL SELECT 'AI Handled vs Human Handled', CORR(ai_handled, human_handled) FROM cleaned UNION ALL SELECT 'AI Handled vs AI Resolution %', CORR(ai_handled, ai_resolution_pct) FROM cleaned UNION ALL SELECT 'Human Handled vs Human %', CORR(human_handled, human_pct) FROM cleaned UNION ALL SELECT 'AI Resolution % vs Human %', CORR(ai_resolution_pct, human_pct) FROM cleaned UNION ALL SELECT 'Total Calls vs AI Resolution %', CORR(total_calls, ai_resolution_pct) FROM cleaned UNION ALL SELECT 'Total Calls vs Human %', CORR(total_calls, human_pct) FROM cleaned ORDER BY ABS(correlation) DESC",
    "purpose": "Calculate pairwise correlation coefficients between numeric columns to identify the strongest relationships in the dataset",
    "source": "raw"
}