Orchestration Runs

Account status — using account 1

• Window usage so far: 0 tokens ($0.00) — 0% of its own last observed ceiling
• Total dispatches on this account: 91

Account status — using account 1

• Window usage so far: 40,222 tokens ($0.16) — 0% of its own last observed ceiling
• Total dispatches on this account: 92

Account status — using account 1

• Window usage so far: 389,214 tokens ($0.71) — 1% of its own last observed ceiling
• Total dispatches on this account: 93

Phase Timeline¶

SHARED TOTAL: 3m, 135,166 tokens, $0.2865, 3 row(s) with no token data (rows 1–6)

Total Run Time: 7m (wall clock, 29-09-2026 01:22:35 → 29-09-2026 01:29:54 IST — not a sum of the per-side totals above, since sides overlap)
Total Tokens Consumed: 135,166 (plus 3 row(s) whose usage was never captured — run execution_tracker.py enrich-audit to backfill. This is a floor, not the total.)
Token breakdown: input 5,146 · output 1,688 · cache-create 35,926 · cache-read 92,406 (68% of the total). Cache-read is context a node re-sends to itself across its own tool-use turns, billed at roughly a tenth of fresh input — a large Tokens number that is mostly cache-read is a long tool loop, not a large workload.
Total Cost: $0.2865 (plus 3 row(s) whose usage was never captured — run execution_tracker.py enrich-audit to backfill. This is a floor, not the total.)

Account status — using account 1

• Window usage so far: 445,712 tokens ($0.74) — 1% of its own last observed ceiling
• Total dispatches on this account: 94