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Session

User
yordan@dext.com · Yordan Todorov Ivanov
Started
2026-09-04 19:46
Last activity
2026-09-04 19:58
Questions
4
Grouping
client — exact — the caller echoed the session id back to us
session_id
c7acb705-ba27-4c64-87e8-72fa0433fe59

Transcript

  1. 2026-09-04 19:49 ask success $2.0060 144.9 s full detail →
    ACV for Dext today
    I can’t calculate Dext’s ACV today from the provided documentation. It does not include a total ACV measure; it only includes monthly ACV **change amounts** for specific add-ons, which cannot be substituted for total ACV. - **Result:** No data - **Missing:** A total ACV field or measure - **Date logic:** A current result would use `omni_dbt__eds_calendar_day.is_latest_available_date = true` - **Business rule:** ACV applies to Partner accounts; Direct accounts should use MRR - **Available measures:** AI Assist and Cash Accounting monthly ACV change amounts only Please clarify whether you want Partner ACV or add-on ACV changes. **Warning: This answer was generated by AI and should be double-checked.**
    Bookings
  2. 2026-09-04 19:53 ask success $1.6082 160.9 s full detail →
    latest total ACV for Partner accounts
    I cannot calculate the latest total ACV for Partner accounts from the provided documentation. No ACV measure or suitable topic containing ACV is documented. - Required Partner filter: `eds_all_accounts.finance_account_type = 'Accountant'` - Required date filter: `omni_dbt__eds_calendar_day.is_latest_available_date = true` - Missing: a documented ACV field and an available join at account/date grain Please contact the Analytics team to identify the approved ACV measure and topic. **Warning:** This answer was generated by AI and should be double-checked.
    Bookings
  3. 2026-09-04 19:57 ask success $1.5344 146.1 s full detail →
    MRR by month for the last 12 months
    I can’t calculate MRR by month for the last 12 months from the provided documentation. The only revenue measure available is **Previous Landlord MRR**, which represents Landlord Bookings MRR before a change—not total current MRR. The documented month fields relate to signed documents and cannot be used as the MRR reporting period. - **Result:** No data - **Missing:** A current MRR measure and the calendar field `omni_dbt__eds_calendar_day.date_day` joined at the correct grain - **Required logic:** Month-end MRR for each of the last 12 months; MRR should apply to Direct accounts (`finance_account_type = 'Corporate'`) - **Next step:** Ask the Analytics team to expose the appropriate MRR measure and calendar join **Warning:** This answer was generated by AI and should be double-checked.
    Bookings
  4. 2026-09-04 20:01 ask success $1.6562 208.8 s full detail →
    MRR for the last 12 months, month over month
    I cannot accurately calculate month-over-month MRR for the last 12 months from the provided documentation. It only includes **Previous Landlord MRR**, which represents Landlord Bookings MRR before a change, not total customer MRR. No suitable bookings calendar-month field is documented to build the trend. - Available measure: `omni_dbt__eds_bookings_addon_changes.total_last_period_landlord_bookings_mrr` - Missing: a general MRR measure and a bookings-aligned `omni_dbt__eds_calendar_day.date_day` field - The documented signed-document dates are unrelated and cannot be substituted Please contact the Analytics team for the appropriate MRR field and topic. **Warning: This answer was generated by AI and should be double-checked.**
    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.