OptionalbaseThe base environment this environment is built on top of. A base environment defines the environment version and a
list of dependencies for serverless compute. The value can be a file path to a custom env.yaml file
(e.g., /Workspace/path/to/env.yaml). Support for a workspace-base-environments/databricks_ai_v4) and workspace base environment ID
(e.g., workspace-base-environments/dbe_b849b66e-b31a-4cb5-b161-1f2b10877fb7) is in Beta.
Either environment_version or base_environment can be provided.
For more information about
OptionalclientUse environment_version instead.
OptionaldependenciesList of pip dependencies, as supported by the version of pip in this environment.
Each dependency is a valid pip requirements file line per https://pip.pypa.io/en/stable/reference/requirements-file-format/.
Allowed dependencies include a requirement specifier, an archive URL, a local project path (such as WSFS or UC Volumes in
OptionalenvironmentEither environment_version or base_environment needs to be provided. Environment version used by the environment.
Each version comes with a specific Python version and a set of Python packages.
The version is a string, consisting of an integer.
OptionaljavaList of java dependencies. Each dependency is a string representing a java library path. For example: /Volumes/path/to/test.jar.
The environment entity used to preserve serverless environment side panel, jobs' environment for non-notebook task, and SDP's environment for classic and serverless pipelines. In this minimal environment spec, only pip and java dependencies are supported.