Chandler · usage
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Prompt

AI Assist paid licences by region as of 18 September 2026, using contracted AI Assist Client Limit, but WITHOUT excluding franchise accounts or Reseller-type accounts — include resellers and franchises

Outcome
success
Cost
$12.5819
excludes embeddings
Latency
133.6 s
Query attempts
2
Rows returned
5
Tokens
1,470,352 / 7,512
in / out

Request

request_id
21b1fe07-aac6-4542-acac-429282df295a
When
2026-09-22 10:58
Tool
ask
User
suzannah.weinfass@dext.com · Suzannah Weinfass
Identity
google
Session
131c9741-1aaf-4757-b194-699d018c62dd
Model
gpt-5.6-sol

Route taken

Topic
Bookings
Omni model
e407bba6-4fae-4079-ac4e-cd6cf8fdf6f8
Match method
agent loop
Nudge shown
feedback_nudge
Question shape
lookup
Caveat raised
ungoverned
Sharper question offered
—
Shown to user
Basis: Contracted paid AI Assist licences, using AI Assist Client Limit and including Reseller-type and fra, snapshot of 18 September 2026.
This figure does not apply the governed filter on omni_dbt__eds_all_accounts.franchise_name, omni_dbt__eds_all_accounts.salesforce_account_type, so it includes rows the standard report excludes.
How did I do with this report?

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

WITH ai_assist_contract_grain AS (
  SELECT DISTINCT
    omni_dbt__eds_bookings."PRIMARY_KEY" AS "Booking Primary Key",
    omni_dbt__eds_all_accounts."FINANCE_COUNTRY_GROUPING" AS "Region",
    omni_dbt__eds_bookings."AI_ASSIST_CONTRACT_CLIENT_LIMIT" AS "AI Assist Paid Licences"
  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 omni_dbt__eds_calendar_day."DATE_DAY" = DATE_FROM_PARTS(2026, 9, 18)
    AND omni_dbt__eds_bookings."AI_ASSIST_ADDON" = TRUE
    AND omni_dbt__eds_bookings."AI_ASSIST_CONTRACT_CLIENT_LIMIT" > 0
    AND COALESCE(omni_dbt__eds_all_accounts."IS_DEXT_DEMO", FALSE) = FALSE
)
SELECT
  "Region" AS "Region",
  SUM("AI Assist Paid Licences") AS "AI Assist Paid Licences",
  SUM(SUM("AI Assist Paid Licences")) OVER () AS "All-region AI Assist Paid Licences"
FROM ai_assist_contract_grain
GROUP BY "Region"
ORDER BY "AI Assist Paid Licences" DESC
LIMIT 100

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.