Labelbox

Fixed
* Fix client.get_project() for LLM projects [PR 1658](https://github.com/Labelbox/labelbox-python/pull/1658)
* Throw user readable errors when creating a custom embedding [PR 1644](https://github.com/Labelbox/labelbox-python/pull/1644)

v.3.72.0

Added
* Update Dataset `create_data_rows` to allow upload of unlimited number of data rows [PR 1627](https://github.com/Labelbox/labelbox-python/pull/1627), [PR #1648](https://github.com/Labelbox/labelbox-python/pull/1648)
* New Dataset methods for iam_integraton: `add_iam_integration`, `remove_iam_integration` [PR 1622](https://github.com/Labelbox/labelbox-python/pull/1622)

Notebooks
* Added model evaluation SDK method notebook [PR 1645](https://github.com/Labelbox/labelbox-python/pull/1645)
* Added quick start notebook geared towards new users [PR 1640](https://github.com/Labelbox/labelbox-python/pull/1640)


v.3.71.0
Added
* `project.get_overview()` to be able to retrieve project details (1615)
* `project.clone()` to be able to clone projects (1624)
* Support for Rye 0.34 (1625)
* Requirements.lock, Requirements-dev.lock to latest depdenencies (1625)
* `ExportTask.get_buffered_stream` to replace `ExportTask.get_stream` (1628)

Fixed
* `ExportTask.result` / `ExportTask.errors` parsing content incorrectly (1628)
* Lack of exceptions related to updating model config (1634)

v.3.70.0
Added
* Added chat model evaluation support
* client.create_model_config()
* ModelConfig project_model_configs()
* ModelConfig add_model_config()
* ModelConfig delete_project_model_config()
* ProjectModelConfig delete()
* client.create_model_evaluation_project()
* Update existing methods to support chat model evaluation project
* client.create_ontology()
* client.create_ontology_from_feature_schemas()
* Coco deprecation message

Fixed
* Fixed error reporting for client.create_project()
* Do not retry http 422 errors

Notebooks
* Send_to_annotate_from_catalog functionalities outside Foundry

Fixed in Notebooks
* Fixed meta notebook
* Modified queue_management.ipynb to remove some parameters
* Update_huggingface.ipynb
* Corrected_HF.ipynb


v.3.69.1
Changelog

Fixed
* Fixed a bug with certain types of content not being returned as a result of `ExportTask.result` or `ExportTask.errors`

v.3.69.0

Added
* Support to export embeddings from the SDK

Fixed
* Used OpenCV's headless library in replacement of OpenCV's default library

v.3.68.0

Added
* Added support for embeddings.
* Introduced the use of 'rye' as a package manager for SDK contributors.
* Implemented a unified 'create' method for AnnotationImport, MEAPredictionImport, and MALPredictionImport.
* Enhanced annotation upload functionality to accept data row IDs, global keys, or external IDs directly for labelbox.data.annotation_types.label

Fixed
* Ensure items in dataset.upsert_data_rows are not empty
* Streamable export fix to report export_v2 errors as list of dictionaries, compatible with older releases
* Export fix to allow multi-line json

v.3.67.0

Added
* Added SECURITY.md file
* Made export_v2 methods use streamable backend
* Added support for custom embeddings to dataset _create data row(s)_ methods
* Added ability to upsert data rows via dataset.upsert_data_rows() method
* Added AssetAttachment with an ability to update() and delete()

Updated
* Added check for 5000 labels per annotation per data row

Fixed
* Errors and Failed data rows are included in the task.result for dataset.create_data_rows()
* Fixed 500 error handling and reporting

Notebooks
* Updated import notebook for image data
* Added attachment PDF example, removed requirements around text_layer_url
* Included the get_catalog() method to the export notebook
* Added workflow status filter to export_data notebook for projects
* Send predictions to a project demo
* Removed model diagnostic notebooks


v.3.66.0
What's Changed