For account CRN 9508803467, compare its MRR on 2026-06-19 to its current MRR, give me just those two numbers
Basis: Prepare MRR for a Direct account, or Prepare Monthly ACV if the account is a Partner, as required by, snapshots of 19 Jun 2026 and the latest available date. Governed filters applied.
Per-step detail — each LLM call, each Omni request, each rejected draft —
is traced to stdout only and is not stored, so it cannot be shown here.
Query attempts counts run_query executions, not model turns.
WITH booking_snapshot_grain AS (
SELECT DISTINCT
omni_dbt__eds_calendar_day."DATE_DAY" AS "Snapshot Date",
omni_dbt__eds_calendar_day."IS_LATEST_AVAILABLE_DATE" AS "Is Latest Available Date",
omni_dbt__eds_bookings."PRIMARY_KEY" AS "Booking Primary Key",
CASE
WHEN omni_dbt__eds_all_accounts."FINANCE_ACCOUNT_TYPE" = 'Accountant'
THEN omni_dbt__eds_bookings."PREPARE_BOOKINGS_MONTHLY_ACV"
WHEN omni_dbt__eds_all_accounts."FINANCE_ACCOUNT_TYPE" = 'Corporate'
THEN omni_dbt__eds_bookings."PREPARE_BOOKINGS_MRR"
ELSE NULL
END AS "Monthly Revenue"
FROM PROD."EDS_ALL_ACCOUNTS" AS omni_dbt__eds_all_accounts
INNER JOIN PROD."EDS_CALENDAR_DAY" AS omni_dbt__eds_calendar_day
ON omni_dbt__eds_calendar_day."DATE_DAY" >= omni_dbt__eds_all_accounts."VALID_FROM" AND omni_dbt__eds_calendar_day."DATE_DAY" <= omni_dbt__eds_all_accounts."VALID_TO"
LEFT JOIN PROD."EDS_BOOKINGS" AS omni_dbt__eds_bookings
ON omni_dbt__eds_all_accounts."DERIVED_ACCOUNT_ID" = omni_dbt__eds_bookings."DERIVED_ACCOUNT_ID" AND omni_dbt__eds_calendar_day."DATE_DAY" >= omni_dbt__eds_bookings."VALID_FROM" AND omni_dbt__eds_calendar_day."DATE_DAY" <= omni_dbt__eds_bookings."VALID_TO"
WHERE TRY_TO_NUMBER(omni_dbt__eds_all_accounts."ACCOUNT_CRN") = 9508803467
AND (omni_dbt__eds_calendar_day."DATE_DAY" = DATE_FROM_PARTS(2026, 6, 19)
OR omni_dbt__eds_calendar_day."IS_LATEST_AVAILABLE_DATE" = TRUE)
AND omni_dbt__eds_calendar_day."DATE_DAY" >= DATE_FROM_PARTS(2026, 3, 24)
AND omni_dbt__eds_calendar_day."DATE_DAY" < DATE_FROM_PARTS(2026, 9, 24)
AND omni_dbt__eds_all_accounts."FINANCE_ACCOUNT_TYPE" IN ('Accountant', 'Corporate')
AND (omni_dbt__eds_all_accounts."FINANCE_ACCOUNT_TYPE" = 'Accountant'
OR (omni_dbt__eds_all_accounts."FINANCE_ACCOUNT_TYPE" = 'Corporate'
AND omni_dbt__eds_bookings."HAS_PAID_SUBSCRIPTION" = TRUE))
AND COALESCE(omni_dbt__eds_all_accounts."IS_DEXT_DEMO", FALSE) = FALSE
AND omni_dbt__eds_all_accounts."FRANCHISE_NAME" IS NULL
AND (omni_dbt__eds_all_accounts."SALESFORCE_ACCOUNT_TYPE" != 'Reseller'
OR omni_dbt__eds_all_accounts."SALESFORCE_ACCOUNT_TYPE" IS NULL)
)
SELECT
SUM(CASE WHEN "Snapshot Date" = DATE_FROM_PARTS(2026, 6, 19) THEN "Monthly Revenue" END) AS "MRR on 2026-06-19",
SUM(CASE WHEN "Is Latest Available Date" = TRUE THEN "Monthly Revenue" END) AS "Current MRR"
FROM booking_snapshot_grain
LIMIT 1
No feedback linked to this request.
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.