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Last active UserOpened 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 —
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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.