Chandler · usage
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Session

User
yordan@dext.com · Yordan Todorov Ivanov
Started
2026-08-04 15:40
Last activity
2026-08-04 15:53
Questions
6
Grouping
backfill — reconstructed from timing by migration 011
session_id
cb38c348-48cd-4ff0-8daf-58c5e4768e6d

Transcript

  1. 2026-08-04 15:40 ask success $1.3206 573.8 s full detail →
    For every partner/accountant practice account, grouped by parent_account_crn, give the number of client accounts under it and how many of those client accounts have a paid subscription. Return the full table across all practices, not just top N.
    No answer recorded.
    Product Usage - Accounts
  2. 2026-08-04 15:41 feedback success unpriced 3 ms full detail →
    —
    No answer recorded.
  3. 2026-08-04 15:43 ask success $0.5436 104.4 s full detail →
    number of client accounts per parent account
    No answer recorded.
    43,454 rows Product Usage - Accounts
  4. 2026-08-04 15:43 ask success $1.3642 420.8 s full detail →
    Count of client accounts grouped by parent_account_crn, and count of those with a paid subscription, for all partner practice accounts
    No answer recorded.
    Product Usage - Accounts
  5. 2026-08-04 15:51 ask success $1.4314 461.6 s full detail →
    List all partner practice accounts (salesforce_account_type = Partner), one row per practice, with parent_account_crn, practice name, total number of client accounts under that practice, and number of those clients with an active paid subscription. Exclude demo and suspended accounts.
    No answer recorded.
    Bookings
  6. 2026-08-04 15:53 ask success $1.0830 294.3 s full detail →
    Partner practice accounts, count of client accounts under each, and count of clients with paid subscription
    No answer recorded.
    15,978 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.