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Session

User
yordan@dext.com · Yordan Todorov Ivanov
Started
2026-07-24 07:15
Last activity
2026-07-24 07:17
Questions
4
Grouping
backfill — reconstructed from timing by migration 011
session_id
509d0203-1943-4cb1-bf49-27ee796c8db9

Transcript

  1. 2026-07-24 07:15 ask success $0.4530 28.1 s full detail →
    What is our current direct MRR (monthly recurring revenue)?
    No answer recorded.
    1 row Bookings
  2. 2026-07-24 07:16 ask success $0.4921 32.9 s full detail →
    Direct MRR (Dext MRR) trend by month for the last 6 months
    No answer recorded.
    1 row Bookings
  3. 2026-07-24 07:16 ask success $0.0300 8.9 s full detail →
    Direct MRR (Dext MRR) and account count for each of the last 6 months, end of month snapshot, from Jan 2026 to Jun 2026, show all 6 rows
    No answer recorded.
    5 rows
  4. 2026-07-24 07:17 ask success $0.5320 29.1 s full detail →
    Show Dext MRR (total_dext_bookings_mrr) and distinct account count for each end-of-month snapshot from Jan 2026 through Jun 2026, filtered to has_paid_subscription true, finance_account_type Corporate, excluding demo accounts and Reseller salesforce account type. Return one row per month, 6 rows total.
    No answer recorded.
    6 rows 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.