Chandler usage · session

Session

User: chris.scott@dext.com · Chris Scott
Started: 2026-09-11 06:51
Last activity: 2026-09-11 06:51
Questions: 1
Grouping: time_gap — inferred — consecutive questions from this user with no long gap
session_id: 9323c67b-f52c-4e6a-8a09-4ff9fe171375

Transcript

2026-09-11 06:55 ask success $1.8986 235.6 s full detail →

For the UK New Business (UK NPC) account executives Riaz Uddin, Dominik Kocis, Sam Tehrani, Jack Hogg, Edwin Armah and Joseph Ashcroft: what is the average and median sales cycle length in days (opportunity created date to close date) for CLOSED WON opportunities closed in the last 12 months, broken down by opportunity owner? Also give the same for closed lost. Please return it as a simple table by rep.

I can’t answer this accurately from the provided documentation. Although “opportunity owner” clearly refers to Dext sales reps in this commercial context, the available fields do not include the opportunity owner, opportunity created date, close date, or closed-won/closed-lost status needed to calculate sales-cycle length and filter opportunities closed in the last 12 months. - **Required calculation:** Close date minus opportunity created date, in days - **Required grouping:** Opportunity owner - **Required filters:** Named reps, close date within the last 12 months, and status split between Closed Won and Closed Lost - **Available but insufficient:** Annualised New MRR and account-level first opportunity created/closed timestamps; these cannot substitute for opportunity-level dates or status - **Next step:** Ask the Analytics team to expose the required opportunity-level fields in the **Marketing - GTM** topic **Warning:** This answer was generated by AI and should be double-checked.

Marketing GTM

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.