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8 sessions

Last active UserFirst match Questions Cost Feedback
2026-09-18 10:54 yordan@dext.com How many active accounts do we have? 1 $8.3274 —
2026-09-17 14:59 yordan@dext.com What is our average customer LTV (total MRR over customer lifetime to date)? 1 $34.4365 —
2026-09-15 13:27 yordan@dext.com Partners MRR by month, last 6 months 2 $68.7470 —
2026-09-08 06:55 yordan@dext.com MRR for the last 12 months, month over month 1 $0.6828 —
2026-09-04 20:01 yordan@dext.com ACV for Dext today 4 $6.8047 —
2026-09-04 13:15 yordan@dext.com What is our ARR (Annual Recurring Revenue) for the last 12 months, broken down month over month? 9 $10.9555 —
2026-09-01 13:53 yordan@dext.com Show me partner accounts (finance_account_type = Accountant) with their company name, CRN, netsuite account number, last login date, next invoice date, account manager, and any billing or invoice outstanding amounts 1 $1.1598 —
2026-09-01 13:08 yordan@dext.com Partner accounts with outstanding invoices including company name, NetSuite account number, company registration number, subsidiary, outstanding debt by aging buckets (current 15/7/2026-13/8/2026, 30 days 15/6/2026-14/7/2026, 60 days 16/5/2026-14/6/2026, 90 days before 16/5/2026, overdue over 90 days), total outstanding amount, account manager name, last login date, next invoice date 1 $0.8164 —
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Cost is the LLM completion spend LiteLLM priced for each call, summed per request. Chandler is running on the Codex CLI, which draws ChatGPT plan quota rather than per-token API billing, so this figure is not money paid — it is what the same traffic would have cost on the API, priced from the token counts Codex reports. Read it as the size of the bill avoided. Two known limits: embedding spend is not recorded, so retrieval and matching cost is missing, and because the figure is one sum per request it cannot be split by model within a request — a request's classifier and agent calls can use different models while llm_model holds only one name. Only authenticated calls are logged, USAGE_LOG_ENABLED can switch logging off, and log writes are fail-soft — this is not a complete record of traffic. Questions are grouped into sessions: a session is exact when the caller echoed its id back to us and otherwise inferred from a 30-minute gap in that user’s activity, so a grouping is only as good as the source shown on the session itself. A call with no attributable user gets no session at all; those questions are listed separately rather than dropped.