Session
- User
-
oliver.paterson@dext.com
· Oliver Paterson
- Started
- 2026-09-11 14:09
- Last activity
- 2026-09-11 14:16
- Questions
-
3
- Grouping
- time_gap — inferred — consecutive questions from this user with no long gap
- session_id
- b7b84e32-8ed6-40e6-8f60-c40a21041ab6
Transcript
-
How many Clients have Payments access?
The documentation does not define a field or rule that identifies whether a Client has Payments access, so this cannot be answered accurately. `parent_bookings.payments_contract_client_limit` is only the Payments add-on client limit and should not be treated as proof of access.
- **Client count:** Not available
- **Missing:** A documented Payments-access indicator and an account-level field/join suitable for counting unique Corporate accounts without double counting
- **Logic:** Clients must have `eds_all_accounts.finance_account_type = 'Corporate'`, but the available documentation does not connect this rule to Payments access.
Please contact the Analytics team to confirm the appropriate Payments-access field and join. **Warning: This answer was generated by AI and should be double-checked.**
-
What is the definition of NECE?
The metric **NECE** is not defined in the provided documentation. Please contact the Analytics team for its approved definition.
- **Definition available:** No
- **AI warning:** This answer was generated by AI and should be double-checked.
-
Where do you source your metric definitions from? Do you read the AI context fields set in Omni, and is there a sync delay?
Metric definitions come only from the model-level business rules and the AI context explicitly defined for Omni topics, views, and fields. Yes, I read those AI context descriptions before answering; model-level definitions take precedence if contexts conflict. The documentation does not specify whether there is a sync delay or how frequently context updates become available.
- **Sources:** Model definitions, topic context, view context, field descriptions, and documented sample queries
- **Priority:** Model-level AI context overrides ambiguous or conflicting topic/view context
- **Sync delay:** Not documented
Logic used: I relied only on the supplied documentation and did not infer an update schedule.
**Warning:** This answer was 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.