Chandler · usage
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Prompt

In the omni_dbt__eds_all_accounts explore, is there a measure or dimension that directly counts clients with a paid Dext subscription per parent account, separate from total_clients — something that would let me pull total client count and paid client count as two columns in a single query without applying parent_or_client_has_dext_paid_subscription as a row-level filter?

Outcome
success
Cost
$0.0240
excludes embeddings
Latency
11.6 s
Query attempts
0
Rows returned
—
Tokens
3,890 / 1,003
in / out

Request

request_id
a957250d-76a6-4c6c-b588-dce1aade4e68
When
2026-08-05 08:25
Tool
ask
User
yordan@dext.com · Yordan Todorov Ivanov
Identity
google
Session
1034de49-aa18-4e79-b52a-78e0ec35ce01
Model
gpt-5.4

Route taken

Topic
—
Omni model
—
Match method
agent loop
Nudge shown
—
Question shape
not classified
Caveat raised
—
Sharper question offered
—

Per-step detail — each LLM call, each Omni request, each rejected draft — is traced to stdout only and is not stored, so it cannot be shown here. Query attempts counts run_query executions, not model turns.

Feedback

No feedback linked to this request.

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.