```json { "action": "tool_call", "reasoning": "I have hourly LLM call data with cost and latency metrics. I can see some patterns in the evidence (e.g., zero-cost periods on June 7-8 and June 10-11, a spike in latency on June 8 at 17:00 to 14,270ms). To identify ALL notable spikes, dips, and breaks comprehensively, I should query the full time series and look for statistical outliers. Let me get the complete hourly aggregation to analyze the patterns systematically.", "tool": "query_sql", "args": { "sql": "SELECT created_at__yyyy_mm_dd_hh, row_count, cost_usd__sum, latency_ms__avg, input_tokens__sum, output_tokens__sum FROM llm_calls_by_created_at__yyyy_mm_dd_hh ORDER BY created_at__yyyy_mm_dd_hh", "purpose": "Get complete hourly time series of LLM calls to identify all spikes, dips, and breaks in volume, cost, and latency", "source": "gold" } } ```