Error calling tool 'ask': Wait returned empty summary with no result: {"job_id":"9a598f6c-f2ca-4da2-baa7-d7a9f77126d3","status":"COMPLETE","client_result_id":"e16c1e99-fc09-49f3-ad4b-a164b1208e35","summary":{"cache_type":"MISS","display_sql":"SELECT \"t1\".\"omni_dbt__eds_calendar_day.date_day[month]\" AS \"omni_dbt__eds_calendar_day.date_day[month]__raw\",\n COALESCE(SUM(\"t1\".\"$f2\"), 0) AS \"omni_dbt__eds_bookings.total_dext_bookings_monthly_acv\",\n TO_CHAR(\"t1\".\"omni_dbt__eds_calendar_day.date_day[month]\", 'YYYY-MM') AS \"omni_dbt__eds_calendar_day.date_day[month]\"\nFROM (SELECT CAST(DATE_TRUNC('MONTH', \"omni_dbt__eds_calendar_day\".\"DATE_DAY\") AS TIMESTAMP(0)) AS \"omni_dbt__eds_calendar_day.date_day[month]\",\n \"omni_dbt__eds_bookings\".\"PRIMARY_KEY\" AS \"omni_dbt__eds_bookings__pk__0\",\n MIN(\"omni_dbt__eds_bookings\".\"DEXT_BOOKINGS_MONTHLY_ACV\") AS \"$f2\"\n FROM \"PROD\".\"EDS_ALL_ACCOUNTS\" AS \"omni_dbt__eds_all_accounts\"\n INNER JOIN \"PROD\".\"EDS_CALENDAR_DAY\" AS \"omni_dbt__eds_calendar_day\" ON \"o... [truncated, 17571 more chars]
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.