Session
- User
-
yordan@dext.com
· Yordan Todorov Ivanov
- Started
- 2026-08-06 12:34
- Last activity
- 2026-08-06 12:51
- Questions
-
8
- Grouping
- backfill — reconstructed from timing by migration 011
- session_id
- 3a86ca5e-8e0d-4a0e-a4bd-3fc2e638f502
Transcript
-
What is the partner ACV, direct ARR, and total number of active accounts?
No answer recorded.
-
Give me the current values: partner ACV (accountant accounts), direct ARR (corporate paid accounts), and total count of paid/active accounts. What's the average revenue per account (total ARR + ACV divided by total accounts)?
No answer recorded.
-
Show me partner ACV value, direct ARR value, and count of all paid active accounts for the current month or latest period available
No answer recorded.
-
What is the current partner ACV (average contract value for accountant accounts)?
No answer recorded.
-
Direct MRR for corporate accounts and partner revenue for accountant accounts - what are the current values?
No answer recorded.
-
Get the total prepare_bookings_mrr for corporate paid accounts (Direct MRR) and total ACV for accountant accounts (Partner ACV), latest available date
No answer recorded.
-
What is the total Direct MRR (sum of all corporate account MRR) and Partner MRR for the latest month?
No answer recorded.
-
How many total paid active accounts do we have (excluding demo, reseller, and suspended)?
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.