YAML-first, domain-driven data governance for AI agents — teach agents your business domains, metrics, and rules before they write SQL
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Updated
May 17, 2026 - Python
YAML-first, domain-driven data governance for AI agents — teach agents your business domains, metrics, and rules before they write SQL
A new package that helps developers ensure column safety in SQLite queries by analyzing and validating their SQL statements. The package takes a user's SQL query as text input and returns a structured
Two-stage LLM-based Text-to-SQL framework with schema retrieval, SQL validation, and self-correction.
Governed, template-based text-to-SQL for manufacturing: pre-approved SQL templates, a multi-rule validator, and full audit logging, exposed via an MCP server and a no-API-key CLI.
Airflow + Postgres DQ platform: observability, rule-based monitoring (SQL+JSON), pluggable alerting, Metabase dashboards.
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