Chandler · usage
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Topic: Product Usage - Accounts ×

6 sessions

Last active UserFirst match Questions Cost Feedback
2026-09-18 10:51 yordan@dext.com How many active accounts do we have?
1 failed
1 $8.8334 —
2026-09-15 12:43 yordan@dext.com How many bank statement extraction (BSE) sheets have been used by CRN 7233405369 for the billing period from 2026-08-10 to 2026-09-09? 4 $188.6516 —
2026-09-15 11:36 yordan@dext.com How many BSE (Bank Statement Extraction) sheets have been used for CRN 7233405369 in the billing period 2026-08-10 to 2026-09-09?
1 failed
3 $37.6174 —
2026-09-08 12:23 yordan@dext.com Show account_crn for all child accounts whose parent_account_crn is 7333782788, as of snapshot date 2026-04-23. Order by account_crn descending. Only return the account_crn column, not parent_account_crn. 1 $1.6656 —
2026-09-08 07:01 yordan@dext.com How many accounts have used the Pay feature this year, and how much total money has been processed through Pay this year? 2 $3.0924 —
2026-09-04 13:18 yordan@dext.com List distinct account_crn values where parent_account_crn = 7333782788 (filter only on parent_account_crn field, not account_crn) and snapshot date = 2026-04-23, sorted by account_crn descending 6 $10.0027 —
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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.