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Session

User
yordan@dext.com · Yordan Todorov Ivanov
Started
2026-08-27 09:55
Last activity
2026-08-27 10:01
Questions
5
Grouping
backfill — reconstructed from timing by migration 011
session_id
6a9cb757-7a48-4fdd-89e7-7532e7de94fd

Transcript

  1. 2026-08-27 09:55 ask success $0.6666 111.6 s full detail →
    customer counts by country
    No answer recorded.
    6 rows Bookings
  2. 2026-08-27 09:57 ask success $2.1644 126.9 s full detail →
    deployment mix SaaS vs on-premises vs desktop by customer
    No answer recorded.
    Bookings
  3. 2026-08-27 10:00 ask success $1.8454 182.7 s full detail →
    average annual usage hours per customer
    No answer recorded.
    Product Usage - Accounts
  4. 2026-08-27 10:00 ask success $0.0165 3.6 s full detail →
    What are the dimension field names related to MRR movement/movement type in the bookings changes view? I need the detailed breakdown dimension field, not the simplified movement type dimension.
    No answer recorded.
  5. 2026-08-27 10:01 ask success $0.0330 10.3 s full detail →
    List all dimension fields available for MRR movement type, including any simplified and detailed/granular versions, across bookings or subscription change views
    No answer recorded.

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.