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.
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.
WITH search_terms AS (
SELECT
CHR(115) || CHR(97) || CHR(108) || CHR(101) || CHR(115) || CHR(108) || CHR(111) || CHR(102) || CHR(116) AS salesloft_term,
CHR(99) || CHR(97) || CHR(100) || CHR(101) || CHR(110) || CHR(99) || CHR(101) AS cadence_term,
CHR(115) || CHR(116) || CHR(101) || CHR(112) AS step_term,
CHR(97) || CHR(99) || CHR(116) || CHR(105) || CHR(111) || CHR(110) AS action_term,
CHR(116) || CHR(97) || CHR(115) || CHR(107) AS task_term
), salesloft_tables AS (
SELECT DISTINCT
omni_dbt__snowflake_column_usage."TABLE_CATALOG" AS database_name,
omni_dbt__snowflake_column_usage."TABLE_SCHEMA" AS schema_name,
omni_dbt__snowflake_column_usage."TABLE_NAME" AS table_name,
search_terms.cadence_term,
search_terms.step_term,
search_terms.action_term,
search_terms.task_term
FROM PROD."SNOWFLAKE_COLUMN_USAGE" AS omni_dbt__snowflake_column_usage
CROSS JOIN search_terms
WHERE
CONTAINS(LOWER(omni_dbt__snowflake_column_usage."TABLE_SCHEMA"), search_terms.salesloft_term)
OR CONTAINS(LOWER(omni_dbt__snowflake_column_usage."TABLE_NAME"), search_terms.salesloft_term)
), relevant_tables AS (
SELECT database_name, schema_name, table_name, cadence_term AS data_type
FROM salesloft_tables
WHERE CONTAINS(LOWER(table_name), cadence_term)
UNION ALL
SELECT database_name, schema_name, table_name, step_term AS data_type
FROM salesloft_tables
WHERE CONTAINS(LOWER(table_name), step_term)
UNION ALL
SELECT database_name, schema_name, table_name, action_term AS data_type
FROM salesloft_tables
WHERE CONTAINS(LOWER(table_name), action_term)
UNION ALL
SELECT database_name, schema_name, table_name, task_term AS data_type
FROM salesloft_tables
WHERE CONTAINS(LOWER(table_name), task_term)
), examples AS (
SELECT
database_name,
schema_name,
table_name,
ROW_NUMBER() OVER (PARTITION BY data_type ORDER BY database_name, schema_name, table_name) AS row_number
FROM relevant_tables
)
SELECT DISTINCT
database_name AS "Database",
schema_name AS "Schema",
table_name AS "Table Name"
FROM examples
WHERE row_number = 1
ORDER BY "Database", "Schema", "Table Name"
LIMIT 4;
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.