**Job:** `f926d487ab59` **Worker:** account-management **Status:** timeout **Elapsed:** 1817s **Error:** worker 'account-management' hit hard timeout after 1800000ms ## Prompt ``` Build /workspace/knowledge/_monthly-counts.md — a per-companyID × per-month ticket count table for the last 12 months. This is a working file feeding Phase 2 outputs. CRITICAL: Do NOT print the data table back to me in your reply. Keep your reply under 10 lines. Just write the file. Steps: 1. Read /workspace/knowledge/all-clients-overview.md to extract companyIDs (one column). 2. For each of these 12 windows, query_entities Tickets where createDate IN [start, end), returning ONLY id and companyID. Page through. ISSUE THE 12 QUERIES IN PARALLEL (call query_entities 12 times in one turn — don't serialize). 2025-05-01..2025-06-01 2025-06-01..2025-07-01 2025-07-01..2025-08-01 2025-08-01..2025-09-01 2025-09-01..2025-10-01 2025-10-01..2025-11-01 2025-11-01..2025-12-01 2025-12-01..2026-01-01 2026-01-01..2026-02-01 2026-02-01..2026-03-01 2026-03-01..2026-04-01 2026-04-01..2026-05-01 3. Aggregate counts client-side by (companyID, YYYY-MM). 4. Write /workspace/knowledge/_monthly-counts.md as a markdown table: | companyID | 2025-05 | 2025-06 | 2025-07 | 2025-08 | 2025-09 | 2025-10 | 2025-11 | 2025-12 | 2026-01 | 2026-02 | 2026-03 | 2026-04 | One row per companyID seen anywhere. Rows for companies with no tickets at all can be omitted. 5. Reply with ONLY: file path, total row count, sum across all months. No data dump. Under 10 lines. ``` ## Output ``` (empty) ```