April 2025

2025.4.9

Fix: Change behavior of magic.add_sampling_column and magic.add_column to update existing columns (where possible) rather than raising an error.
Fix: Improve error and status reporting for DataDesigner magic operations.
Fix: Fix Text Metrics Failure for Multi-Metrics Report.
Fix: Improve error reporting for Jinja specification errors when using DataDesigner.
Fix: Any code language can now be specified for LLM generation columns in DataDesigner.
Feature: Rename task from evaluate_ss_dataset to evaluate_safe_synthetics_dataset.
Fix: Address an issue with jobs failing due to heartbeat issues.
Feature: Add support for the following Jinja filters when writing expressions or prompt templates: abs, capitalize, first, float, int, items, last, length, list, lower, max, min, random, replace, reverse, round, sort, string, title, trim, truncate, unique, urlencode.
Fix: Fix a bug in which workflows fail validation when globals are not provided.
Fix: Fix for null values when attempting to reference LLM-generated structured data fields with ExpressionColumn.
Feature: An error will now be thrown if the user tries to add a column with the same name as a latent person sampler.
Feature: Person samplers now have an optional age_range argument, which defaults to adult ages.
Fix: Fix a bug that crashed Data Designer jobs when sequence of Structured Output -> Expression -> Expression/LLMPrompt existed in the workflow.

2025.4.3-3

Fix: Internal config updates.

2025.4.3-2

Fix: Internal config updates.

2025.4.3-1

Fix: Internal config updates.

2025.4.3

Feature: Two new samplers have been added to AI Data Designer: Bernoulli Exponential and Bernoulli X (where X is any Scipy distribution).
Feature: ModelAlias.NATURAL_LANGUAGE has been renamed to ModelAlias.TEXT.
Feature: The AI Data Designer object __repr__ method now includes all column types.
Feature: Enable stop-params in Default TabFT Config for improved inference efficiency.
Fix: AIDD requirements update in gretel-client.
Fix: Fix a regression with use_structured_generation.
Fix: Support downloading CSV version of dataset task outputs.
Fix: Fix a warning when importing the gretel_client in Python 3.12.
Fix: Correct unicode handling for parsed outputs in Magic and Structured column generation.
Fix: Bernoulli and BernoulliMixture will now work client side. This required a bug fix in a helper function.
Fix: Update the print displays of column configurations when using magic to be copy-pasteable to facilitate easier editing.
Fix: Fix a bug where pre-existing seed dataset columns would be dropped from the DataDesigner object after DataDesigner.magic.add_sampling_columns was used.
Fix: Remove extraneous enum warnings from DataDesigner preview operations.
Fix: Fix a bug where the DataDesigner's model_suite wasn't being respected when using magic to add LLM generation columns.

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2025.4.9

Fix: Change behavior of magic.add_sampling_column and magic.add_column to update existing columns (where possible) rather than raising an error.

Fix: Improve error and status reporting for DataDesigner magic operations.

Fix: Fix Text Metrics Failure for Multi-Metrics Report.

Fix: Improve error reporting for Jinja specification errors when using DataDesigner.

Fix: Any code language can now be specified for LLM generation columns in DataDesigner.

Feature: Rename task from evaluate_ss_dataset to evaluate_safe_synthetics_dataset.

Fix: Address an issue with jobs failing due to heartbeat issues.

Feature: Add support for the following Jinja filters when writing expressions or prompt templates: abs, capitalize, first, float, int, items, last, length, list, lower, max, min, random, replace, reverse, round, sort, string, title, trim, truncate, unique, urlencode.

Fix: Fix a bug in which workflows fail validation when globals are not provided.

Fix: Fix for null values when attempting to reference LLM-generated structured data fields with ExpressionColumn.

Feature: An error will now be thrown if the user tries to add a column with the same name as a latent person sampler.

Feature: Person samplers now have an optional age_range argument, which defaults to adult ages.

Fix: Fix a bug that crashed Data Designer jobs when sequence of Structured Output -> Expression -> Expression/LLMPrompt existed in the workflow.

2025.4.3

Feature: Two new samplers have been added to AI Data Designer: Bernoulli Exponential and Bernoulli X (where X is any Scipy distribution).

Feature: ModelAlias.NATURAL_LANGUAGE has been renamed to ModelAlias.TEXT.

Feature: The AI Data Designer object __repr__ method now includes all column types.

Feature: Enable stop-params in Default TabFT Config for improved inference efficiency.

Fix: AIDD requirements update in gretel-client.

Fix: Fix a regression with use_structured_generation.

Fix: Support downloading CSV version of dataset task outputs.

Fix: Fix a warning when importing the gretel_client in Python 3.12.

Fix: Correct unicode handling for parsed outputs in Magic and Structured column generation.

Fix: Bernoulli and BernoulliMixture will now work client side. This required a bug fix in a helper function.

Fix: Update the print displays of column configurations when using magic to be copy-pasteable to facilitate easier editing.

Fix: Fix a bug where pre-existing seed dataset columns would be dropped from the DataDesigner object after DataDesigner.magic.add_sampling_columns was used.

Fix: Remove extraneous enum warnings from DataDesigner preview operations.

Fix: Fix a bug where the DataDesigner's model_suite wasn't being respected when using magic to add LLM generation columns.