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Release Notes

0.12.6


November 27, 2025 12:12 PM UTC

Version 0.12.6 of the relationalai Python package is now available!

To upgrade, activate your virtual environment and run the following command:

Terminal window
pip install --upgrade relationalai
  • Updated Storybook-related dependencies for the RelationalAI debugger from 8.0.4 to 8.6.14. This addresses CVE-2025-64756 / GHSA-5j98-mcp5-4vw2 by updating Storybook’s glob dependency to 10.5.0.

0.12.5


November 26, 2025 12:31 PM UTC

Version 0.12.5 of the relationalai Python package is now available!

To upgrade, activate your virtual environment and run the following command:

Terminal window
pip install --upgrade relationalai
  • The Snowflake client now skips certain internal checks when data sources are fresh, which reduces unnecessary work and can help queries run faster and more smoothly. You can configure data freshness settings using the data_freshness_mins configuration key.

0.12.4


November 25, 2025 10:57 AM UTC

Version 0.12.4 of the relationalai Python package is now available!

To upgrade, activate your virtual environment and run the following command:

Terminal window
pip install --upgrade relationalai
  • PyRel transactions now run faster and more smoothly, especially when your models do not use external tables or views. The client skips unnecessary setup work when it’s not needed and, if your engine is missing or not ready, it will automatically prepare what’s needed in the background and retry your query.

  • The Python client now includes its version information in internal Snowflake operations, which helps backend systems perform safer version checks and improves diagnostics.

  • This update fixes an internal regression so that engines are no longer repeatedly re-initialized in the background.

2025.11.22-96885d5


November 26, 2025 10:00 PM UTC

Version 2025.11.22-96885d5 of the RelationalAI Native App is now available!

Note that RelationalAI Native App upgrades are applied automatically and require no action on your part, unless you have opted-in to manual upgrades.

  • Data Streams now automatically detect recreated source tables. If a table is recreated, its Data Stream is quarantined and the Python API will rebuild it the next time you query the data. You no longer need to manually fix Data Streams after a table is recreated. Your queries will always return up-to-date results.