| Last active | User | First match | Questions | Cost | Feedback |
|---|---|---|---|---|---|
| 2026-09-24 18:33 | chris.scott@dext.com | For account CRN 7132303002 (Pitcher Partners SA Pty Ltd), what was its MRR on 2026-05-01 versus its current MRR? | 8 | $177.3482 | — |
| 2026-09-24 06:51 | chris.scott@dext.com | For account CRN 7371765911 (Global Infosys Ltd), what was its MRR on 2026-06-21 versus its current MRR? | 1 | $12.4557 | — |
| 2026-09-20 12:35 | chris.scott@dext.com | For account CRN 5327143919 (Goldwells), what was its MRR on 2026-07-12 versus its current MRR? | 4 | $82.8115 | — |
| 2026-09-14 11:11 | chris.scott@dext.com | For account CRN 7551015724 (Easy Accountants), what was its MRR on 2026-04-17 versus its current MRR? | 1 | $1.8646 | — |
| 2026-09-05 16:21 | chris.scott@dext.com | What was UK churn (churned MRR) by month from April 2024 through August 2026? Please use the UK finance country grouping and return monthly churn value and, if available, the number of churned accounts per month. | 1 | $1.6469 | — |
| 2026-08-26 13:18 | chris.scott@dext.com |
Using field parent_account_crn (not account_crn) to filter, list ALL child account CRNs (do not truncate, show all rows) where parent_account_crn = 7261517401, snapshot date 2026-03-01
1 failed
|
5 | $3.0644 | — |
| 2026-08-26 08:01 | chris.scott@dext.com | Partner channel ARR by region for the last 12 months | 3 | $1.1176 | — |
| 2026-08-25 18:05 | chris.scott@dext.com | What is our customer churn rate and net revenue retention over the last 12 months? | 2 | $1.3919 | — |
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.