Google BigQuery
Overview
Section titled “Overview”Phinite’s Google BigQuery predefined tool lets workspace assistants call Google BigQuery APIs through DevStudio after you save a connection under Integrations → Predefined tools.
Query BigQuery datasets with SQL, inspect tables, export results, and
What this integration enables
Section titled “What this integration enables”- Automate workflows using this predefined tool from agent graphs
- Connect once under Integrations and reuse across assistants
- Enable individual subtools per agent in Graph Studio
Required credentials
Section titled “Required credentials”- See integration configuration fields in Phinite
Setup steps
Section titled “Setup steps”- Create a GCP project, enable BigQuery API, and obtain OAuth or service-account credentials.
- Log into your Phinite workspace at app.phinite.ai
- Navigate to Integrations → Predefined tools
- Select Google BigQuery
- Click + Add Configuration
- Enter the credential fields listed above
- Select assistants that should use this connection
- Click Save Configuration
Configure in Graph Studio
Section titled “Configure in Graph Studio”- Open an agent in Graph Studio
- Select the agent node → Tools tab → Add a new tool
- Choose GoogleBigQueryTool (or search for Google BigQuery)
- Select your saved connection or add a new one
- Enable the subtools your workflow needs and save
Predefined tools
Section titled “Predefined tools”Phinite provides 3 subtools for Google BigQuery:
- List Tables: List tables in the configured dataset
- Describe Table: Describe schema for a BigQuery table
- Run Sql Query: Run a SQL query against the dataset
Documentation & resources
Section titled “Documentation & resources”- Official documentation:
https://cloud.google.com/bigquery/docs - Phinite documentation: Google BigQuery
- Store API keys and tokens securely; many providers show secrets only once
- Use separate connections for Dev, UAT, and Prod environments where possible
- Test with a minimal subtool call after saving credentials