Chandler · usage

13 users

One row per person, from the users table. Sessions counts the conversations their questions were grouped into; the count links through to them. (unattributed) collects questions with no user_id: fail-soft writes, and history migration 013 could not match to a person. Those questions never get a session either, so that row always reads zero — they are listed from the Sessions tab instead.

User Identity Sessions Questions Cost Cost / question Unpriced Success Feedback Last seen
chris.scott@dext.com
Chris Scott
google 8 24 $281.3444 $11.7227 0 100.0% — 2026-09-24 18:33
suzannah.weinfass@dext.com
Suzannah Weinfass
google 5 11 $164.4987 $14.9544 0 100.0% Negative 2026-09-28 14:31
yordan@dext.com
Yordan Todorov Ivanov
google 27 58 $159.7453 $2.7542 0 100.0% — 2026-09-18 10:54
mihail.iliev@dext.com
Mihail Iliev
google 1 4 $121.7169 $30.4292 0 100.0% — 2026-10-01 09:32
gerty.bester@dext.com
Gerty Bester
google 1 1 $19.0560 $19.0560 0 100.0% — 2026-09-23 17:17
kathryn.buckley@dext.com
Kathryn Buckley
google 2 17 $8.1359 $0.4786 0 100.0% — 2026-08-12 16:11
silviya.chomakova@dext.com google 2 11 $5.6302 $0.5118 0 100.0% — 2026-07-31 10:58
oliver.paterson@dext.com
Oliver Paterson
google 2 4 $3.7593 $0.9398 0 100.0% — 2026-09-11 14:12
detelina.vassileva@dext.com google 2 6 $3.5098 $0.5850 0 100.0% — 2026-08-06 10:16
pawel.chwieros@dext.com
Pawel Chwieros
google 1 3 $1.9276 $0.6425 0 100.0% — 2026-08-26 11:37
mai.nguyen@dext.com
Mai Nguyen
google 1 2 $1.1620 $0.5810 0 100.0% — 2026-07-24 10:45
lindsey.kistler@dext.com
Lindsey Kistler
google 1 1 $0.8413 $0.8413 0 100.0% — 2026-08-05 10:51
ikraan.mohamed@dext.com
Ikraan Mohamed
google 1 1 $0.5168 $0.5168 0 100.0% — 2026-07-20 09:14

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.