Session
- User
-
chris.scott@dext.com
· Chris Scott
- Started
- 2026-09-14 10:57
- Last activity
- 2026-09-14 11:27
- Questions
-
2
(18 calls recorded — the
difference is calls whose log write did not land)
- Grouping
- time_gap — inferred — consecutive questions from this user with no long gap
- session_id
- d3e00864-9fdd-435d-9362-8e3705783c7c
Transcript
-
What MRR-related fields are available on the eds_all_accounts table for a given snapshot date?
The provided documentation does not identify any MRR-related fields on `eds_all_accounts` for a snapshot date, so this cannot be answered accurately without additional field-level documentation.
- **Documented MRR fields on `eds_all_accounts`: 0**
- **Available definition:** MRR is monthly recurring revenue measured at month-end; use MRR for Direct/Corporate accounts.
- **Missing:** MRR field names, snapshot-date field, and applicable topic joins.
Logic: I reviewed only the supplied model and field documentation and did not substitute undocumented fields. Please contact the Analytics team for the relevant schema details.
**Warning:** This answer was generated by AI and should be double-checked.
-
For account CRN 7551015724 (Easy Accountants), what was its MRR on 2026-04-17 versus its current MRR?
I cannot determine the MRR for account CRN **7551015724** on **2026-04-17** or currently because the provided documentation includes account CRN fields but no MRR field, currency, or suitable subscription/bookings view.
- **Historical MRR (2026-04-17):** Not available
- **Current MRR:** Not available
- **Missing documentation:** An MRR measure joined to account CRN and the calendar date; current MRR would use the latest available date
Please contact the Analytics team for the appropriate MRR field and topic. **Warning: This answer was generated by AI and should be double-checked.**
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.