Chandler · usage
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Prompt

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

Outcome
success
Cost
$18.9184
excludes embeddings
Latency
102.2 s
Query attempts
1
Rows returned
1
Tokens
2,260,519 / 8,689
in / out

Request

request_id
3889656a-8204-4a88-9207-849e6ccdc391
When
2026-09-28 14:05
Tool
ask
User
suzannah.weinfass@dext.com · Suzannah Weinfass
Identity
google
Session
d37edfb0-f87e-49d9-9094-eca87ba367ef
Model
gpt-5.6-sol

Route taken

Topic
Product Usage - Accounts
Omni model
e407bba6-4fae-4079-ac4e-cd6cf8fdf6f8
Match method
agent loop
Nudge shown
—
Question shape
lookup
Caveat raised
degenerate_column
Sharper question offered
—
Shown to user
Basis: Validation count of distinct accounts flagged with Dext Payments access; processed-payment GBP measu, latest available account snapshot; cumulative and last-30-day payment values unavailable. Governed filters applied.
Every row's «Cumulative Payments Processed (GBP)» came back empty. That is usually a wrong field or join rather than missing data.

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.

SQL that ran

SELECT
  MAX(omni_dbt__eds_calendar_day."DATE_DAY") AS "Snapshot Date",
  COUNT(DISTINCT CASE WHEN omni_dbt__eds_all_accounts."HAS_PAYMENTS_ACCESS" = TRUE THEN omni_dbt__eds_all_accounts."DERIVED_ACCOUNT_ID" END) AS "Accounts Flagged With Payments Access (Not Accounts That Paid)",
  CAST(NULL AS NUMBER(38, 2)) AS "Cumulative Payments Processed (GBP)",
  CAST(NULL AS NUMBER(38, 2)) AS "Payments Processed Last 30 Days (GBP)"
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"
WHERE omni_dbt__eds_calendar_day."IS_LATEST_AVAILABLE_DATE" = TRUE
  AND omni_dbt__eds_all_accounts."HAS_PAYMENTS_ACCESS" = TRUE
  AND (omni_dbt__eds_all_accounts."IS_DEXT_DEMO" = FALSE OR omni_dbt__eds_all_accounts."IS_DEXT_DEMO" IS NULL)
  AND omni_dbt__eds_all_accounts."IS_SUSPENDED_DEXT" = FALSE
  AND omni_dbt__eds_all_accounts."SALESFORCE_ACCOUNT_TYPE" <> 'Reseller'
LIMIT 1

Feedback

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.