Chandler · usage
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Session

User
detelina.vassileva@dext.com
Started
2026-07-23 06:47
Last activity
2026-07-23 07:02
Questions
7
Grouping
backfill — reconstructed from timing by migration 011
session_id
3cc7dac2-0c7a-4b2c-9daf-0e019bfa2fdf

Transcript

  1. 2026-07-23 06:47 ask success $1.0797 100.4 s full detail →
    List of accounts that have removed their AI Assist (Agents) license. For each such account, return CRN, account name, country, account type, and remove reason.
    No answer recorded.
    6 rows EXPERIMENTAL Subscriptions Signals
  2. 2026-07-23 06:50 ask success $1.3870 150.5 s full detail →
    One row per account that removed their AI Assist (Agents) add-on. Columns: account CRN, account name, country, account type, remove reason. No aggregation. Include all accounts where AI Assist was removed at any point.
    No answer recorded.
    40 rows EXPERIMENTAL Subscriptions Signals
  3. 2026-07-23 06:53 ask success $0.8918 148.2 s full detail →
    Give me accounts where the AI Assist (Agents) add-on was removed — i.e. AI Assist client limit change amount is negative or the AI Assist MRR movement is Churn/Downsell. For each such account return: account CRN, account name, Salesforce country, finance account type, and the remove/churn reason (whichever churn-reason field the account model exposes). Filter to churn/removal events only, no zero-change rows.
    No answer recorded.
    29 rows Bookings
  4. 2026-07-23 06:56 ask success $3.5091 151.0 s full detail →
    For each of these account CRNs return the account name (and repeat CRN so I can join): 5113586149, 5193212972, 6191333707, 6238851230, 6239837517, 6280700520, 7191825637, 7203828999, 7213706520, 7232630975, 7241985123, 7262594444, 7283744521, 7303903100, 7332928109, 7341038935, 7342681795, 7342918071, 7391953155, 7512052060, 7692213740, 7793147659, 8039564365, 8045039930, 8606362549, 8754698110, 9356416914, 9439629888, 9718110711
    No answer recorded.
    Product Usage - Accounts
  5. 2026-07-23 06:58 ask success $4.8545 120.4 s full detail →
    Return the actual data rows from omni_dbt__eds_all_accounts — one row per matching account — with columns account_crn and account_name, filtered to WHERE account_crn IN (5113586149,5193212972,6191333707,6238851230,6239837517,6280700520,7191825637,7203828999,7213706520,7232630975,7241985123,7262594444,7283744521,7303903100,7332928109,7341038935,7342681795,7342918071,7391953155,7512052060,7692213740,7793147659,8039564365,8045039930,8606362549,8754698110,9356416914,9439629888,9718110711). No aggregation. Execute the query and return the rows.
    No answer recorded.
    Product Usage - Accounts
  6. 2026-07-23 07:00 ask internal_error $0.6608 128.3 s full detail →
    Same list as before: accounts that had an AI Assist churn or downsell event (AI Assist MRR movement = Removed or Downsell) between 2026-01-23 and 2026-07-23, excluding Dext demo and Reseller accounts. This time return account_crn AND account_name for each row, plus the churn_reason and salesforce_country and finance_account_type. One row per account per event. Include the account name column.
    Error calling tool 'ask': Wait returned empty summary with no result: {"job_id":"33eefe0d-a3f0-4dcb-aa3e-f3a4b2ebcca9","status":"COMPLETE","client_result_id":"e458818c-0f2b-4e05-955c-1b2e1a23375b","summary":{"cache_type":"MISS","display_sql":"SELECT \"t1\".\"omni_dbt__eds_calendar_day.date_day[date]\" AS \"omni_dbt__eds_calendar_day.date_day[date]__raw\",\n    \"t1\".\"omni_dbt__eds_all_accounts.account_crn\",\n    \"t1\".\"omni_dbt__eds_bookings_addon_changes.ai_assist_bookings_mrr_movement\",\n    \"t1\".\"omni_dbt__eds_all_accounts.churn_reason\",\n    \"t1\".\"omni_dbt__eds_all_accounts.salesforce_country\",\n    \"t1\".\"omni_dbt__eds_all_accounts.finance_account_type\",\n    COALESCE(SUM(\"t1\".\"$f7\"), 0) AS \"omni_dbt__eds_bookings_addon_changes.total_ai_assist_bookings_mrr_change_amount\",\n    TO_CHAR(\"t1\".\"omni_dbt__eds_calendar_day.date_day[date]\", 'YYYY-MM-DD') AS \"omni_dbt__eds_calendar_day.date_day[date]\"\nFROM (SELECT \"omni_dbt__eds_all_accounts\".\"ACCOUNT_CRN\" AS \"omni_dbt__eds_all_accounts.account_crn\",\n            \"omni_dbt__eds_all_accounts\".\... [truncated, 24477 more chars]
    Bookings
  7. 2026-07-23 07:02 ask internal_error $0.5925 120.6 s full detail →
    Accounts that removed or downsold AI Assist in H1 2026. One row per account per event. Columns: account CRN, account name, Salesforce country, finance account type, churn reason. Exclude Dext demos and Reseller accounts. Include account_name as a column.
    Error calling tool 'ask': Wait returned empty summary with no result: {"job_id":"bbaf8cd5-8c68-4473-bfe4-e86e1160017e","status":"COMPLETE","client_result_id":"6c8ce895-a92d-44cf-8a8a-7005255bf5c3","summary":{"cache_type":"MISS","display_sql":"SELECT \"t1\".\"omni_dbt__eds_calendar_day.date_day[date]\" AS \"omni_dbt__eds_calendar_day.date_day[date]__raw\",\n    \"t1\".\"omni_dbt__eds_all_accounts.account_crn\",\n    \"t1\".\"omni_dbt__eds_all_accounts.salesforce_country\",\n    \"t1\".\"omni_dbt__eds_all_accounts.finance_account_type\",\n    \"t1\".\"omni_dbt__eds_all_accounts.churn_reason\",\n    \"t1\".\"omni_dbt__eds_bookings_addon_changes.ai_assist_bookings_mrr_movement\",\n    \"t1\".\"omni_dbt__eds_bookings_addon_changes.ai_assist_client_limit_change_amount\",\n    COALESCE(SUM(\"t1\".\"$f8\"), 0) AS \"omni_dbt__eds_bookings_addon_changes.total_ai_assist_bookings_mrr_change_amount\",\n    TO_CHAR(\"t1\".\"omni_dbt__eds_calendar_day.date_day[date]\", 'YYYY-MM-DD') AS \"omni_dbt__eds_calendar_day.date_day[date]\"\nFROM (SELECT \"omni_dbt__eds_all_accounts\".\"ACCOUNT_CRN\" A... [truncated, 25251 more chars]
    Bookings

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.