Chandler · usage

15 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
gerty.bester@dext.com
Gerty Bester
google 6 14 $746.3492 $53.3107 0 100.0% — 2026-09-30 09:50
yordan@dext.com
Yordan Todorov Ivanov
google 41 169 $447.2521 $2.7106 4 96.4% — 2026-09-18 10:54
chris.scott@dext.com
Chris Scott
google 16 139 $402.0270 $3.2685 16 84.9% — 2026-09-24 18:34
suzannah.weinfass@dext.com
Suzannah Weinfass
google 9 37 $202.4076 $5.4705 0 89.2% Negative ×3 2026-09-28 14:32
ikraan.mohamed@dext.com
Ikraan Mohamed
google 2 2 $58.8516 $29.4258 0 100.0% — 2026-09-22 14:51
silviya.chomakova@dext.com google 5 44 $25.5334 $0.5803 0 100.0% Positive 2026-07-31 11:31
detelina.vassileva@dext.com google 2 25 $22.8768 $0.9151 0 88.0% — 2026-08-06 10:20
kathryn.buckley@dext.com
Kathryn Buckley
google 3 35 $13.3702 $0.3820 0 100.0% — 2026-08-17 09:57
oliver.paterson@dext.com
Oliver Paterson
google 4 11 $3.7814 $0.6302 5 54.5% — 2026-09-11 14:16
lindsey.kistler@dext.com
Lindsey Kistler
google 2 4 $3.2891 $0.8223 0 100.0% — 2026-08-05 10:51
pawel.chwieros@dext.com
Pawel Chwieros
google 10 19 $2.4188 $0.2016 7 63.2% — 2026-09-24 13:38
sukh.kalsi@dext.com
Sukh Kalsi
google 3 4 $2.3497 $0.5874 0 100.0% — 2026-08-13 11:46
mai.nguyen@dext.com
Mai Nguyen
google 1 3 $1.1889 $0.3963 0 100.0% — 2026-07-24 10:45
prabhu.parthiban@dext.com
Prabhu Parthiban
google 1 2 $0.6145 $0.3072 0 100.0% — 2026-08-14 13:02
sabrin.ouboutayeb@dext.com
Sabrin Ouboutayeb
google 1 1 $0.0000 — 1 0.0% — 2026-08-27 14:28

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.