| Last active | User | Opened with | Questions | Cost | Feedback |
|---|---|---|---|---|---|
| 2026-07-17 12:47 | silviya.chomakova@dext.com | For Commerce product group, excluding Support Team Name = 'DC - Deflected by Fin', which Closed Date month (if any) do these Conversation IDs fall into: 215560949834029, 215560951000964, 215560957819647, 215560967950092, 215560973984557, 215560935681339, 215560949926446, 215560918874454, 215560961713341, 215560950374779? Show Conversation ID, Closed Date, Support Team Name. | 5 | $1.1328 | — |
| 2026-07-17 12:06 | silviya.chomakova@dext.com | List individual closed conversation IDs (Conversation ID), Support Team Name, and Conversation Closed At Timestamp Date for Customer Support Product Group = Commerce, Closed Date in April 2026, excluding Support Team Name = 'DC - Deflected by Fin' | 2 | $0.8989 | — |
| 2026-07-16 17:38 | yordan@dext.com | Current ACV | 2 | $0.5008 | — |
| 2026-07-16 16:43 | yordan@dext.com | Trials by platform for the last 5 months | 5 | $2.6891 | — |
| 2026-07-16 14:45 | yordan@dext.com | Find partner account CRNs and account names for users with these email addresses: rromena@hotmail.com, damian@fmta.uk, pamela@cannonaccountants.co.uk, dwhite@iwlservices.co.uk, scottg@gmcgca.com, administrator@syncbs.co.za, milda@1185films.com, jemma.smart@gvbookkeeping.co.uk, libby@jbuildersservices.co.uk | 2 | $1.7478 | — |
| 2026-07-16 14:42 | silviya.chomakova@dext.com | what is our ACV (annual contract value)? | 4 | $2.9710 | — |
| 2026-07-15 15:21 | yordan@dext.com | ACV for the last 6 months by month | 3 | $3.5539 | — |
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.