Chandler · usage
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9 sessions

Last active UserFirst match Questions Cost Feedback
2026-09-28 14:32 suzannah.weinfass@dext.com Total cumulative value of payments processed through Dext Payments to date in GBP (all currencies converted), how many distinct accounts/businesses have made a payment, and total value processed in the last 30 days 8 $80.4582 —
2026-09-24 08:40 suzannah.weinfass@dext.com What user session or sessionization data is available? What tables/fields define a session, and what session-level metrics do we track? 1 $0.3143 —
2026-09-22 10:58 suzannah.weinfass@dext.com AI Assist paid licence sales: total net paid AI Assist licences sold as of 18 September 2026, broken down by region (UK, NA including Canada and US, APAC, France, South Africa), split by partner vs direct, plus licences ended since 23 April 3 $101.0706 —
2026-09-11 14:37 suzannah.weinfass@dext.com What does the metric NECE mean? 7 $5.2099 Negative ×2
2026-09-10 15:32 suzannah.weinfass@dext.com Is there a field that captures actual active usage of Payments (e.g. processed a transaction), distinct from HAS_PAYMENTS_ACCESS (access/entitlement)? Also, what was total active account count for each month March-August 2026, to compute an adoption rate? 4 $8.2905 —
2026-09-10 08:56 suzannah.weinfass@dext.com partner MRR by month for the last 6 months 3 $1.3831 Negative
2026-07-23 15:07 suzannah.weinfass@dext.com What is project Chandler? 1 $0.0156 —
2026-07-23 13:12 suzannah.weinfass@dext.com UK Partner churn month over month from July 2025 to now 1 $0.8002 —
2026-07-17 15:10 suzannah.weinfass@dext.com overall Dext Partner GRR value 5 $1.6100 —
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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.