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Python package and CLI 1.0.15

PyRel 1.0.15 adds the RAI_ACTIVE_PROFILE env var, reduces Model.Table() schema fetch overhead, and fixes several configuration, debugger, and Model.data() issues.

How to install this version

Review the changes below before installing. To install this version, activate a compatible Python virtual environment and run:

Terminal window
python -m pip install "relationalai==1.0.15"

For the latest installation instructions, see Start building with PyRel.

New Features and Enhancements

Section titled “New Features and Enhancements”
  • Added support for a RAI_ACTIVE_PROFILE environment variable as a way to select the active profile. You can now set the active profile with RAI_ACTIVE_PROFILE=<profile_name> in addition to active_profile in raiconfig.yaml. See Use profiles to manage multiple configurations for details.

Performance and Reliability

Section titled “Performance and Reliability”

  • Reduced Model.Table() overhead on large Snowflake schemas. Before, PyRel could scan the whole schema on each lookup. Now PyRel fetches metadata one table at a time, which reduces cold-start overhead when a model touches many tables in a large schema. For background on declaring Snowflake sources, see Declare data sources.

  • Improved behavior on read-only notebook and container file systems. Before, PyRel could fail while writing caches or trace files with misleading errors. Now it falls back to a writable temporary directory in those environments.

Bug Fixes

Section titled “Bug Fixes”

  • Fixed Snowflake authentication failures that could surface as a misleading No default Session error. PyRel now reports the underlying Snowflake auth failure when it cannot create a new session.

  • Fixed a startup crash in rai debugger. Before, some launches could fail with RuntimeError: You must call ui.run() to start the server. Now the debugger starts without that reload-related crash.

  • Fixed Model.data() so rows with mixed integer and floating-point columns preserve integer values. Before, some integer fields could be upcast and show up as values like 1.0 in query results.