OpenAI integration
OpenAI data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.apiusage
type: ingestr
parameters:
source_connection: openai
source_table: 'apiusage'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/openai.asset.yml
- extract · OpenAI apiusageincremental
- load · snowflake raw.apiusagemerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
OpenAI provides organization-level usage reporting for API traffic. The OpenAI source loads daily completion usage totals, including input, cached-input, cache-write, and output tokens where available.
- 01
Add a OpenAI connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Tables
1 tables, ready to load.
apiusage
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
01 · Move
02 · Model & govern
03 · Use
AI & LLMs
More tools, same category.
Frequently asked
Questions about OpenAI.
Does Bruin have a built-in OpenAI integration?
Yes. Built-in ingestr source.
Which OpenAI tables can Bruin load?
apiusage.
Where can OpenAI data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect OpenAI?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.