Chandler usage · session

Session

User: chris.scott@dext.com · Chris Scott
Started: 2026-09-10 08:08
Last activity: 2026-09-10 08:29
Questions: 8
Grouping: client — exact — the caller echoed the session id back to us
session_id: 5bd266da-b0ef-470e-b208-8921dd99db07

Transcript

2026-09-10 08:09 ask success $0.2664 79.4 s full detail →

Do we have Salesloft cadence step or task-level data in the warehouse — specifically overdue cadence steps and steps due today by owner? If so, show overdue cadence steps and steps due today for the UK New Business team (Peter Chapman's reports: Eliana Brown, Luke Thomson, Freddie Brown, Joseph Ashcroft, Edwin Armah, Jack Hogg, Sam Tehrani, Dominik Kocis, Riaz Uddin). If we don't hold Salesloft step/task data, just say so plainly.

Data answer — see full detail.

500 rows Snowflake Column Usage
2026-09-10 08:11 ask success $0.2634 108.8 s full detail →

List any table in the warehouse whose name or schema contains 'salesloft'. I want to know if Salesloft cadence, step, action or task data is loaded at all. Just return the distinct database, schema and table names — no other tables.

Data answer — see full detail.

4 rows Snowflake Column Usage
2026-09-10 08:13 ask success $1.1478 93.6 s full detail →

Using the Salesloft tasks data (MELTANO.SALESLOFT.TASKS, joined to the Salesloft users table for owner names), count OPEN / not-completed tasks by task owner, split into two buckets: due date before today (overdue) and due date equal to today. Restrict to these Salesloft users: Eliana Brown, Luke Thomson, Freddie Brown, Joseph Ashcroft, Edwin Armah, Jack Hogg, Sam Tehrani, Dominik Kocis, Riaz Uddin, Joe Swanepoel. Also give the oldest overdue due date per owner. Return one row per owner.

Data answer — see full detail.

1 row Account Activity
2026-09-10 08:26 ask success $0.0032 10.6 s full detail →

Show me the column names and data types of the table MELTANO.SALESLOFT.TASKS. Just the column list, nothing else.

The documentation does not include columns or data types for `MELTANO.SALESLOFT.TASKS`.
2026-09-10 08:27 ask success $0.0389 49.6 s full detail →

Query PROD.SNOWFLAKE_COLUMN_USAGE and return every COLUMN_NAME where TABLE_SCHEMA = 'SALESLOFT' and TABLE_NAME = 'TASKS'. Return up to 200 rows, column names only.

Data answer — see full detail.

1 row
2026-09-10 08:28 ask internal_error $0.1071 64.4 s full detail →

Query MELTANO.SALESLOFT.TASKS directly. The USER column may be a JSON/variant object containing an "id" — extract the numeric user id from it. Filter to rows where _SDC_DELETED_AT is null and CURRENT_STATE is not 'completed', and where the extracted user id is one of 19389, 18717, 18716, 13847, 13842, 13833, 11892, 4510, 4471, 4346. Group by that user id and return: count of rows with DUE_DATE < current_date as OVERDUE, count with DUE_DATE = current_date as DUE_TODAY, count with DUE_DATE > current_date as FUTURE, and MIN(DUE_DATE) as OLDEST_OVERDUE. Order by OVERDUE descending.
```
Error calling tool 'ask': litellm.ServiceUnavailableError: ServiceUnavailableError: OpenAIException - {
  "error": {
    "message": "Our servers are currently overloaded. Please try again later.",
    "type": "service_unavailable_error",
    "param": null,
    "code": "server_is_overloaded"
  }
}
```
[EXPERIMENTAL] Lost Opportunities
2026-09-10 08:28 ask internal_error $0.0078 24.3 s full detail →

Query MELTANO.SALESLOFT.TASKS directly. The USER column may be a JSON/variant object containing an "id" — extract the numeric user id from it. Filter to rows where _SDC_DELETED_AT is null and CURRENT_STATE is not 'completed', and where the extracted user id is one of 19389, 18717, 18716, 13847, 13842, 13833, 11892, 4510, 4471, 4346. Group by that user id and return: count of rows with DUE_DATE < current_date as OVERDUE, count with DUE_DATE = current_date as DUE_TODAY, count with DUE_DATE > current_date as FUTURE, and MIN(DUE_DATE) as OLDEST_OVERDUE. Order by OVERDUE descending.
```
Error calling tool 'ask': litellm.ServiceUnavailableError: ServiceUnavailableError: OpenAIException - {
  "error": {
    "message": "Our servers are currently overloaded. Please try again later.",
    "type": "service_unavailable_error",
    "param": null,
    "code": "server_is_overloaded"
  }
}
```
2026-09-10 08:30 ask internal_error $0.1162 69.0 s full detail →

Query MELTANO.SALESLOFT.TASKS directly. The USER column may be a JSON/variant object containing an "id" — extract the numeric user id from it. Filter to rows where _SDC_DELETED_AT is null and CURRENT_STATE is not 'completed', and where the extracted user id is one of 19389, 18717, 18716, 13847, 13842, 13833, 11892, 4510, 4471, 4346. Group by that user id and return: count of rows with DUE_DATE < current_date as OVERDUE, count with DUE_DATE = current_date as DUE_TODAY, count with DUE_DATE > current_date as FUTURE, and MIN(DUE_DATE) as OLDEST_OVERDUE. Order by OVERDUE descending.
```
Error calling tool 'ask': litellm.ServiceUnavailableError: ServiceUnavailableError: OpenAIException - {
  "error": {
    "message": "Our servers are currently overloaded. Please try again later.",
    "type": "service_unavailable_error",
    "param": null,
    "code": "server_is_overloaded"
  }
}
```
[EXPERIMENTAL] Lost Opportunities

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.