| Last active | User | Opened with | Questions | Cost | Feedback |
|---|---|---|---|---|---|
| 2026-08-13 11:46 | sukh.kalsi@dext.com | Monthly bank statement usage (bank statement items/pages processed) for partner ID 7122961501 over the last 12 months | 1 | $0.7011 | — |
| 2026-08-04 13:57 | sukh.kalsi@dext.com | Can Chandler create or save reports in Omni? | 1 | $0.0187 | — |
| 2026-08-04 10:46 | sukh.kalsi@dext.com | Can you give me, for every accountant practice (partner account), the number of client accounts under it (grouped by parent_account_crn) and how many of those clients have a paid subscription? I need this as a full table across all ~1,800+ practices — is that something you can return, or is there a row limit? | 2 | $1.6299 | — |
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.