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Session

User
yordan@dext.com · Yordan Todorov Ivanov
Started
2026-09-17 10:04
Last activity
2026-09-17 10:19
Questions
4
Grouping
client — exact — the caller echoed the session id back to us
session_id
e915fe7f-3bb5-4aa0-8616-5c73ba740963

Transcript

  1. 2026-09-17 10:04 ask success $0.3408 13.5 s full detail →
    What is NECE in Dext content?
    NECE is not defined in the provided Dext documentation, so its meaning cannot be determined from these excerpts. Please contact the Analytics team for clarification. - No definition or related figures are provided. - This answer was generated by AI and should be double-checked.
  2. 2026-09-17 10:16 ask success $0.3413 10.6 s full detail →
    What is BSE?
    BSE stands for **Bank Statement Extraction**, as defined in the model’s commonly used aliases. Warning: This answer was generated by AI and should be double-checked.
  3. 2026-09-17 10:17 ask success $0.5016 17.9 s full detail →
    What is NECE?
    NECE is not defined in the provided documentation. Please contact the Analytics team for clarification. - No definition or related numbers are available. Warning: This answer was generated by AI and should be double checked.
  4. 2026-09-17 10:19 ask success $0.3484 12.2 s full detail →
    What is LIX?
    LIX stands for **Line Item Extraction**, as defined in the model’s commonly used aliases. This answer is generated by AI and should be double-checked.

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.