Orchestration Runs

Account status — using account 5

• Window usage so far: 2,892,512 tokens ($1.73) — 94% of its own last observed ceiling
• Total dispatches on this account: 40

Phase Timeline¶

ORCHESTRATOR TOTAL: 0s, 0 tokens, $0.0000 (rows 19)
SHARED TOTAL: 59m, 2,343,941 tokens, $2.8660, 11 row(s) with no token data (rows 1–18)

Total Run Time: 1h 35m (wall clock, 06-10-2026 11:06:42 → 06-10-2026 12:41:17 IST — not a sum of the per-side totals above, since sides overlap)
Active time: 59m | Waiting (session limits, approvals, dead sessions): 35m — 1 gap(s) still unattributed; label them with driver.py gap <slug> --from <ISO> --to <ISO> --reason '<why>'
Total Tokens Consumed: 2,343,941 (plus 11 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 2,611 · output 22,644 · cache-create 91,851 · cache-read 2,226,835 (95% 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: $2.8660 (plus 11 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 5

• Window usage so far: 2,971,855 tokens ($2.00) — 96% of its own last observed ceiling
• Total dispatches on this account: 41

Account status — using account 5

• Window usage so far: 2,971,855 tokens ($2.00) — 96% of its own last observed ceiling
• Total dispatches on this account: 42