* Explicit support and testing against Python 3.13 and 3.14 ([#228](#228)). The project's configuration and workflows have been updated to improve testing, dependency management, and support for the latest Python versions. Notably, the acceptance workflow now runs integration tests for draft pull requests, and the Hatch version has been upgraded to 1.16.5. The GitHub Actions workflow has been updated to use the latest versions of actions, including `actions/checkout@v6` and `actions/setup-python@v6`, and the Python version has been upgraded to 3.14. Environment variables `HATCH_VERBOSE` and `HATCH_VERSION` have been added, with `HATCH_VERBOSE` set to 2 and `HATCH_VERSION` set to 1.16.5. Additionally, the project's tooling has been refreshed, including upgrades to mypy, pylint, and pytest, and the configuration for running tests has been updated to include integration tests and matrix testing across multiple Python versions. Various code updates have also been made, including changes to type hints, the removal of unnecessary type parameters, and the addition of a `_not_none` function to handle potential `None` values. These changes aim to enhance the project's testing and setup process, ensure better support for the latest Python versions and tools, and improve code readability and maintainability.
* Fixed issue 216 - name is required in serving config ([#224](#224)). The library has been updated to improve consistency and compatibility with the API behavior. The `_make_workspace_client` function now expects the `scopes` parameter to be a string, specifically "all-apis", to match the `ClientCredentials` signature. Additionally, the `EndpointCoreConfigInput` requires a `name` parameter, and the `served_entities` parameter is used instead of the deprecated `served_models`. The `create` function has been updated to use these new inputs and outputs, creating an endpoint with the required `name` and updated `served_entities` configuration, and returning a `ServingEndpointDetailed` object with a `pending_config` that includes both `served_models` and `served_entities` for compatibility. Furthermore, several test functions have been modified to access the `entity_name` and `entity_version` attributes of the `served_entities` list, ensuring the tests remain valid and verify the correct behavior of the `make_serving_endpoint` function with the new configuration.
* [make_job] Allow passing serverless environments ([#227](#227)). The `make_job` function has been enhanced to provide users with more control over the execution environment of their tasks when using serverless compute. A new `environments` keyword argument has been introduced, allowing users to optionally pass a list of serverless environments, which is required for running Spark Python tasks and can override the notebook environment for Databricks Notebook tasks. This argument can be used in conjunction with other existing keyword arguments to create a job with a specific set of tasks and environments. The update enables users to specify serverless environments for their jobs, providing more flexibility and control over their compute resources, and includes backward compatibility with existing functionality, as demonstrated by updated test cases that verify the correct handling of the `environments` argument.