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Session

User
mai.nguyen@dext.com · Mai Nguyen
Started
2026-07-24 10:38
Last activity
2026-07-24 10:45
Questions
3
Grouping
backfill — reconstructed from timing by migration 011
session_id
2d87b1c2-660e-4612-8619-3a0aa6ea0c88

Transcript

  1. 2026-07-24 10:38 ask success $0.5872 78.0 s full detail →
    What is our sales data for the last 6 months?
    No answer recorded.
    6 rows Bookings
  2. 2026-07-24 10:42 ask success $0.0268 6.1 s full detail →
    Do you have any existing saved reports or dashboards related to sales data / Prepare Monthly ACV?
    No answer recorded.
  3. 2026-07-24 10:45 ask success $0.5748 57.3 s full detail →
    What product lines do we have besides Prepare/Bookkeeping? List all product lines and their monthly ACV for the last 6 months.
    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.