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Intelligence Layer Release 5.0.0

What's new with version 5.0.0​

5.0.0​

Dear developers, we're excited to announce the latest release of the Intelligence Layer, packed with breaking changes, new features, and fixes to improve your development experience.

Breaking Changes​

In this release, we've made two significant changes to the RunRepository class:

  • RunRepository.example_output now returns None and prints a warning when there is no associated record for the given run_id, instead of raising a ValueError.
  • RunRepository.example_outputs now returns an empty list and prints a warning when there is no associated record for the given run_id, instead of raising a ValueError.

These changes aim to provide a more robust and fault-tolerant API, allowing your applications to handle unexpected scenarios more gracefully.

New Features​

This release brings several exciting features to the table:

  • Resume failed runs: You can now resume a failed Runner.run_dataset execution by setting the resume_from_recovery_data flag to True and calling Runner.run_dataset again. This feature is limited to runs that failed with an exception that did not crash the whole process/kernel for InMemoryRunRepository based Runners. For FileRunRepository based Runners, even runs that crashed the whole process can be resumed.

  • Skip examples: The DatasetRepository.examples method now accepts an optional examples_to_skip parameter, allowing you to skip Examples with specific IDs.

  • New notebook: We've added a new notebook, how_to_resume_a_run_after_a_crash, to help you get started with resuming failed runs.

Fixes​

We've also addressed a few issues in this release:

First of all, we removed dependencies not needed for making use of the IL wheel in your project. Additionally, we added default values for labels and metadata for PartialEvaluationOverview.

For a detailed list, see our GitHub release page.

Take advantage of these new features and improvements by upgrading to the latest version. Happy coding!