Chandler · usage
← Back to sessions

Session

User
suzannah.weinfass@dext.com · Suzannah Weinfass
Started
2026-09-28 14:03
Last activity
2026-09-28 14:31
Questions
9
Grouping
client — exact — the caller echoed the session id back to us
session_id
d37edfb0-f87e-49d9-9094-eca87ba367ef

Transcript

  1. 2026-09-28 14:05 ask success $18.9184 102.2 s full detail →
    Total cumulative value of payments processed through Dext Payments to date in GBP (all currencies converted), how many distinct accounts/businesses have made a payment, and total value processed in the last 30 days
    Data answer — see full detail.
    1 row Product Usage - Accounts
  2. 2026-09-28 14:05 ask success $0.3093 22.8 s full detail →
    Sum of Dext Payments transaction value in GBP across all time (all-time cumulative, all currencies converted to GBP), count of distinct accounts that have made at least one payment transaction, and sum of Dext Payments transaction value in GBP in the last 30 days
    Data answer — see full detail.
    1 row
  3. 2026-09-28 14:05 ask success $0.3266 10.0 s full detail →
    What payments-related metrics are available in Chandler? Is there a metric for total value of transactions processed through Dext Payments?
    The provided documentation does not list any payments-related metrics in Chandler, nor does it define a metric for the total value of transactions processed through Dext Payments. - Payments-related metrics documented: None - Total transaction value metric: Not documented Logic: I reviewed only the supplied model definitions and relevant field excerpts; the listed metrics cover Solo accounts, clients, accounts, user submissions, MALs, and Salesforce accounts—not payment transaction values. Warning: This answer was generated by AI and should be double-checked.
  4. 2026-09-28 14:07 ask needs_input $0.1395 3.6 s full detail →
    Average monthly revenue per client (ARPA) for Direct/SMB customers versus Partner/accountancy practice customers, for the most recent full month
    Before I show you — roughly what do you expect, and what value would change what you do?
  5. 2026-09-28 14:11 ask success $18.1150 157.2 s full detail →
    Average monthly revenue per client (ARPA) for Direct/SMB customers versus Partner/accountancy practice customers, for the most recent full month
    Data answer — see full detail.
    2 rows Bookings
  6. 2026-09-28 14:16 ask success $0.3293 20.9 s full detail →
    Monthly trend of Partner/accountancy practice bookings ACV (Prepare Bookings Monthly ACV) for the last 6 full months
    Data answer — see full detail.
    6 rows
  7. 2026-09-28 14:22 ask success $18.0825 128.0 s full detail →
    Monthly trend of total Partner/accountancy practice revenue for the last 6 full months, using the same definition as the ARPA report: sum of Prepare Bookings Monthly ACV per customer account, filtered to accounts with a paid subscription (Finance Account Type = Accountant, Has Paid Subscription = TRUE), at month-end snapshot
    Data answer — see full detail.
    6 rows Bookings
  8. 2026-09-28 14:31 ask success $23.9978 158.8 s full detail →
    direct customers by region, monthly for the last 12 months
    Data answer — see full detail.
    12 rows Bookings
  9. 2026-09-28 14:32 ask success $0.3793 37.9 s full detail →
    direct customers by region for July 2026 and August 2026 month-end snapshots
    Data answer — see full detail.
    2 rows

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.