Settings - Weights & Biases Documentation

*,
allow_media_symlink: bool = False,
allow_offline_artifacts: bool = True,
allow_val_change: bool = False,
anonymous: object = object(),
api_key: str | None = None,
azure_account_url_to_access_key: dict[str, str] | None = None,
app_url_override: str | None = None,
base_url: str = 'https://api.wandb.ai',
code_dir: str | None = None,
config_paths: collections.abc.Sequence[str] | None = None,
console: Literal['auto', 'off', 'wrap', 'redirect', 'wrap_raw', 'wrap_emu'] = 'auto',
console_multipart: bool = False,
console_chunk_max_bytes: int = 0,
console_chunk_max_seconds: int = 0,
capture_loggers: dict[str, str] | None = None,
credentials_file: str = <factory>,
disable_code: bool = False,
disable_git: bool = False,
disable_git_fork_point: bool = True,
disable_job_creation: bool = True,
docker: str | None = None,
email: str | None = None,
entity: str | None = None,
organization: str | None = None,
force: bool = False,
fork_from: wandb.sdk.lib.run_moment.RunMoment | None = None,
git_commit: str | None = None,
git_remote: str = 'origin',
git_remote_url: str | None = None,
git_root: str | None = None,
heartbeat_seconds: int = 30,
host: str | None = None,
http_proxy: str | None = None,
https_proxy: str | None = None,
identity_token_file: str | None = None,
ignore_globs: collections.abc.Sequence[str] = (),
init_timeout: float = 90.0,
finish_timeout: float = 0.0,
finish_timeout_raises: bool = False,
insecure_disable_ssl: bool = False,
job_name: str | None = None,
job_source: Optional[Literal['repo', 'artifact', 'image']] = None,
label_disable: bool = False,
launch: bool = False,
launch_config_path: str | None = None,
login_timeout: float | None = None,
mode: Literal['online', 'offline', 'shared', 'disabled', 'dryrun', 'run'] = 'online',
notebook_name: str | None = None,
program: str | None = None,
program_abspath: str | None = None,
program_relpath: str | None = None,
project: str | None = None,
quiet: bool = False,
reinit: Union[Literal['default', 'return_previous', 'finish_previous', 'create_new'], bool] = 'default',
relogin: bool = False,
resume: Optional[Literal['allow', 'must', 'never', 'auto']] = None,
resume_from: wandb.sdk.lib.run_moment.RunMoment | None = None,
resumed: bool = False,
root_dir: str = <factory>,
run_group: str | None = None,
run_id: str | None = None,
run_job_type: str | None = None,
run_name: str | None = None,
run_notes: str | None = None,
run_tags: tuple[str, ...] | None = None,
sagemaker_disable: bool = False,
save_code: bool | None = None,
settings_system: str | None = None,
stop_fn: collections.abc.Callable[[], None] | None = None,
max_end_of_run_history_metrics: int = 10,
max_end_of_run_summary_metrics: int = 10,
show_colors: bool | None = None,
show_emoji: bool | None = None,
show_errors: bool = True,
show_info: bool = True,
show_warnings: bool = True,
silent: bool = False,
start_method: str | None = None,
stop_on_fatal_error: bool = False,
strict: bool | None = None,
summary_timeout: int = 60,
summary_warnings: int = 5,
sweep_id: str | None = None,
sweep_param_path: str | None = None,
symlink: bool = <factory>,
sync_tensorboard: bool | None = None,
table_raise_on_max_row_limit_exceeded: bool = False,
use_dot_wandb: bool | None = None,
username: str | None = None,
x_cli_only_mode: bool = False,
x_disable_meta: bool = False,
x_disable_stats: bool = False,
x_disable_viewer: bool = False,
x_disable_machine_info: bool = False,
x_executable: str | None = None,
x_extra_http_headers: dict[str, str] | None = None,
x_file_stream_max_bytes: int | None = None,
x_file_stream_max_line_bytes: int | None = None,
x_file_stream_transmit_interval: float | None = None,
x_file_stream_retry_max: int | None = None,
x_file_stream_retry_wait_min_seconds: float | None = None,
x_file_stream_retry_wait_max_seconds: float | None = None,
x_file_stream_timeout_seconds: float | None = None,
x_file_transfer_retry_max: int | None = None,
x_file_transfer_retry_wait_min_seconds: float | None = None,
x_file_transfer_retry_wait_max_seconds: float | None = None,
x_file_transfer_timeout_seconds: float | None = None,
x_files_dir: str | None = None,
x_flow_control_custom: bool | None = None,
x_flow_control_disabled: bool | None = None,
x_graphql_retry_max: int | None = None,
x_graphql_retry_wait_min_seconds: float | None = None,
x_graphql_retry_wait_max_seconds: float | None = None,
x_graphql_timeout_seconds: float | None = None,
x_internal_check_process: float = 8.0,
x_jupyter_name: str | None = None,
x_jupyter_path: str | None = None,
x_jupyter_root: str | None = None,
x_label: str | None = None,
x_live_policy_rate_limit: int | None = None,
x_live_policy_wait_time: int | None = None,
x_log_level: int = 20,
x_network_buffer: int | None = None,
x_primary: bool = True,
x_proxies: dict[str, str] | None = None,
x_runqueue_item_id: str | None = None,
x_save_requirements: bool = True,
x_server_side_derived_summary: bool = False,
x_server_side_expand_glob_metrics: bool = True,
x_service_transport: str | None = None,
x_service_wait: float = 30.0,
x_skip_transaction_log: bool = False,
x_start_time: float | None = None,
x_stats_pid: int = 50165,
x_stats_sampling_interval: float = 15.0,
x_stats_neuron_monitor_config_path: str | None = None,
x_stats_dcgm_exporter: str | None = None,
x_stats_open_metrics_endpoints: dict[str, str] | None = None,
x_stats_open_metrics_filters: dict[str, dict[str, str]] | collections.abc.Sequence[str] | None = None,
x_stats_open_metrics_http_headers: dict[str, str] | None = None,
x_stats_disk_paths: collections.abc.Sequence[str] | None = ('/',),
x_stats_cpu_count: int | None = None,
x_stats_cpu_logical_count: int | None = None,
x_stats_gpu_count: int | None = None,
x_stats_gpu_type: str | None = None,
x_stats_gpu_device_ids: collections.abc.Sequence[int] | None = None,
x_stats_buffer_size: int = 0,
x_stats_coreweave_metadata_base_url: str = 'http://169.254.169.254',
x_stats_coreweave_metadata_endpoint: str = '/api/v2/cloud-init/meta-data',
x_stats_track_process_tree: bool = False,
x_stats_no_cgroup: bool = False,
x_sync: bool = False,
x_sync_dir_suffix: str = '',
x_update_finish_state: bool = True

Description

Settings for the W&B SDK. This class manages configuration settings for the W&B SDK, ensuring type safety and validation of all settings. Settings are accessible as attributes and can be initialized programmatically, through environment variables (WANDB_ prefix), and with configuration files. The settings are organized into three categories:

Public settings: Core configuration options that users can safely modify to customize W&B’s behavior for their specific needs.
Internal settings: Settings prefixed with ‘x_’ that handle low-level SDK behavior. These settings are primarily for internal use and debugging. While they can be modified, they are not considered part of the public API and may change without notice in future versions.
Computed settings: Read-only settings that are automatically derived from other settings or the environment.

Args

allow_media_symlink:
allow_offline_artifacts:
allow_val_change:
anonymous:
api_key:
azure_account_url_to_access_key:
app_url_override:
base_url:
code_dir:
config_paths:
console:
console_multipart:
console_chunk_max_bytes:
console_chunk_max_seconds:
capture_loggers:
credentials_file:
disable_code:
disable_git:
disable_git_fork_point:
disable_job_creation:
docker:
email:
entity:
organization:
force:
fork_from:
git_commit:
git_remote:
git_remote_url:
git_root:
heartbeat_seconds:
host:
http_proxy:
https_proxy:
identity_token_file:
ignore_globs:
init_timeout:
finish_timeout:
finish_timeout_raises:
insecure_disable_ssl:
job_name:
job_source:
label_disable:
launch:
launch_config_path:
login_timeout:
mode:
notebook_name:
program:
program_abspath:
program_relpath:
project:
quiet:
reinit:
relogin:
resume:
resume_from:
resumed:
root_dir:
run_group:
run_id:
run_job_type:
run_name:
run_notes:
run_tags:
sagemaker_disable:
save_code:
settings_system:
stop_fn:
max_end_of_run_history_metrics:
max_end_of_run_summary_metrics:
show_colors:
show_emoji:
show_errors:
show_info:
show_warnings:
silent:
start_method:
stop_on_fatal_error:
strict:
summary_timeout:
summary_warnings:
sweep_id:
sweep_param_path:
symlink:
sync_tensorboard:
table_raise_on_max_row_limit_exceeded:
use_dot_wandb:
username:
x_cli_only_mode:
x_disable_meta:
x_disable_stats:
x_disable_viewer:
x_disable_machine_info:
x_executable:
x_extra_http_headers:
x_file_stream_max_bytes:
x_file_stream_max_line_bytes:
x_file_stream_transmit_interval:
x_file_stream_retry_max:
x_file_stream_retry_wait_min_seconds:
x_file_stream_retry_wait_max_seconds:
x_file_stream_timeout_seconds:
x_file_transfer_retry_max:
x_file_transfer_retry_wait_min_seconds:
x_file_transfer_retry_wait_max_seconds:
x_file_transfer_timeout_seconds:
x_files_dir:
x_flow_control_custom:
x_flow_control_disabled:
x_graphql_retry_max:
x_graphql_retry_wait_min_seconds:
x_graphql_retry_wait_max_seconds:
x_graphql_timeout_seconds:
x_internal_check_process:
x_jupyter_name:
x_jupyter_path:
x_jupyter_root:
x_label:
x_live_policy_rate_limit:
x_live_policy_wait_time:
x_log_level:
x_network_buffer:
x_primary:
x_proxies:
x_runqueue_item_id:
x_save_requirements:
x_server_side_derived_summary:
x_server_side_expand_glob_metrics:
x_service_transport:
x_service_wait:
x_skip_transaction_log:
x_start_time:
x_stats_pid:
x_stats_sampling_interval:
x_stats_neuron_monitor_config_path:
x_stats_dcgm_exporter:
x_stats_open_metrics_endpoints:
x_stats_open_metrics_filters:
x_stats_open_metrics_http_headers:
x_stats_disk_paths:
x_stats_cpu_count:
x_stats_cpu_logical_count:
x_stats_gpu_count:
x_stats_gpu_type:
x_stats_gpu_device_ids:
x_stats_buffer_size:
x_stats_coreweave_metadata_base_url:
x_stats_coreweave_metadata_endpoint:
x_stats_track_process_tree:
x_stats_no_cgroup:
x_sync:
x_sync_dir_suffix:
x_update_finish_state:

Properties

`property` app_url

The URL for the W&B UI, usually https://wandb.ai. This is different from base_url (like https://api.wandb.ai) which is used to access W&B APIs programmatically.

`property` colab_url

The URL to the Colab notebook, if running in Colab.

`property` deployment

`property` files_dir

Absolute path to the local directory where the run’s files are stored.

`property` is_local

`property` log_dir

The directory for storing log files.

`property` log_internal

The path to the file to use for internal logs.

`property` log_symlink_internal

The path to the symlink to the internal log file of the most recent run.

`property` log_symlink_user

The path to the symlink to the user-process log file of the most recent run.

`property` log_user

The path to the file to use for user-process logs.

`property` project_url

The W&B URL where the project can be viewed.

`property` resume_fname

The path to the resume file.

`property` run_mode

The mode of the run. Can be either “run” or “offline-run”.

`property` run_url

The W&B URL where the run can be viewed.

`property` settings_workspace

The path to the workspace settings file.

`property` sweep_url

The W&B URL where the sweep can be viewed.

`property` sync_dir

The directory for storing the run’s files.

`property` sync_file

Path to the append-only binary transaction log file.

`property` sync_symlink_latest

Path to the symlink to the most recent run’s transaction log file.

`property` timespec

The time specification for the run.

`property` wandb_dir

Full path to the wandb directory.

Methods

`method` construct

_fields_set: 'set[str] | None' = None, **values: 'Any'

Arguments

_fields_set:
values:

`method` copy

self, *,
include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
update: 'Dict[str, Any] | None' = None,
deep: 'bool' = False

Returns a copy of the model. !!! warning “Deprecated” This method is now deprecated; use model_copy instead. If you need include or exclude, use:

data = self.model_dump(include=include, exclude=exclude, round_trip=True)
data = {**data, **(update or {})}
copied = self.model_validate(data)

Arguments

include: Optional set or mapping specifying which fields to include in the copied model.
exclude: Optional set or mapping specifying which fields to exclude in the copied model.
update: Optional dictionary of field-value pairs to override field values in the copied model.
deep: If True, the values of fields that are Pydantic models will be deep-copied.

`method` dict

self, *,
include: 'IncEx | None' = None,
exclude: 'IncEx | None' = None,
by_alias: 'bool' = False,
exclude_unset: 'bool' = False,
exclude_defaults: 'bool' = False,
exclude_none: 'bool' = False

Arguments

include:
exclude:
by_alias:
exclude_unset:
exclude_defaults:
exclude_none:

`method` from_orm

obj: 'Any'

Arguments

obj:

`method` json

self, *,
include: 'IncEx | None' = None,
exclude: 'IncEx | None' = None,
by_alias: 'bool' = False,
exclude_unset: 'bool' = False,
exclude_defaults: 'bool' = False,
exclude_none: 'bool' = False,
encoder: 'Callable[[Any], Any] | None' = PydanticUndefined,
models_as_dict: 'bool' = PydanticUndefined, **dumps_kwargs: 'Any'

Arguments

include:
exclude:
by_alias:
exclude_unset:
exclude_defaults:
exclude_none:
encoder:
models_as_dict:
dumps_kwargs:

`method` model_construct

_fields_set: 'set[str] | None' = None, **values: 'Any'

Creates a new instance of the Model class with validated data. Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. !!! note model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Arguments

_fields_set: A set of field names that were originally explicitly set during instantiation. If provided, this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.
values: Trusted or pre-validated data dictionary.

`method` model_copy

self, *,
update: 'Mapping[str, Any] | None' = None,
deep: 'bool' = False

!!! abstract “Usage Documentation” model_copy Returns a copy of the model. !!! note The underlying instance’s [__dict__][object.dict] attribute is copied. This might have unexpected side effects if you store anything in it, on top of the model fields (e.g. the value of [cached properties][functools.cached_property]).

Arguments

update: Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.
deep: Set to True to make a deep copy of the model.

`method` model_dump

self, *,
mode: "Literal['json', 'python'] | str" = 'python',
include: 'IncEx | None' = None,
exclude: 'IncEx | None' = None,
context: 'Any | None' = None,
by_alias: 'bool | None' = None,
exclude_unset: 'bool' = False,
exclude_defaults: 'bool' = False,
exclude_none: 'bool' = False,
round_trip: 'bool' = False,
warnings: "bool | Literal['none', 'warn', 'error']" = True,
fallback: 'Callable[[Any], Any] | None' = None,
serialize_as_any: 'bool' = False

!!! abstract “Usage Documentation” model_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Arguments

mode: The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.
include: A set of fields to include in the output.
exclude: A set of fields to exclude from the output.
context: Additional context to pass to the serializer.
by_alias: Whether to use the field’s alias in the dictionary key if defined.
exclude_unset: Whether to exclude fields that have not been explicitly set.
exclude_defaults: Whether to exclude fields that are set to their default value.
exclude_none: Whether to exclude fields that have a value of None.
round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T].
warnings: How to handle serialization errors. False/“none” ignores them, True/“warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].
fallback: A function to call when an unknown value is encountered. If not provided, a [PydanticSerializationError][pydantic_core.PydanticSerializationError] error is raised.
serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.

`method` model_dump_json

self, *,
indent: 'int | None' = None,
include: 'IncEx | None' = None,
exclude: 'IncEx | None' = None,
context: 'Any | None' = None,
by_alias: 'bool | None' = None,
exclude_unset: 'bool' = False,
exclude_defaults: 'bool' = False,
exclude_none: 'bool' = False,
round_trip: 'bool' = False,
warnings: "bool | Literal['none', 'warn', 'error']" = True,
fallback: 'Callable[[Any], Any] | None' = None,
serialize_as_any: 'bool' = False

!!! abstract “Usage Documentation” model_dump_json Generates a JSON representation of the model using Pydantic’s to_json method.

Arguments

indent: Indentation to use in the JSON output. If None is passed, the output will be compact.
include: Field(s) to include in the JSON output.
exclude: Field(s) to exclude from the JSON output.
context: Additional context to pass to the serializer.
by_alias: Whether to serialize using field aliases.
exclude_unset: Whether to exclude fields that have not been explicitly set.
exclude_defaults: Whether to exclude fields that are set to their default value.
exclude_none: Whether to exclude fields that have a value of None.
round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T].
warnings: How to handle serialization errors. False/“none” ignores them, True/“warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].
fallback: A function to call when an unknown value is encountered. If not provided, a [PydanticSerializationError][pydantic_core.PydanticSerializationError] error is raised.
serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.

`method` model_json_schema

by_alias: 'bool' = True,
ref_template: 'str' = '#/$defs/{model}',
schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
mode: 'JsonSchemaMode' = 'validation'

Generates a JSON schema for a model class.

Arguments

by_alias: Whether to use attribute aliases or not.
ref_template: The reference template.
schema_generator: To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications
mode: The mode in which to generate the schema.

`method` model_parametrized_name

params: 'tuple[type[Any], ...]'

Compute the class name for parametrizations of generic classes. This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Arguments

params: Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Raises

TypeError: Raised when trying to generate concrete names for non-generic models.

`method` model_post_init

self,
context: 'Any', /

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Arguments

context:

`method` model_rebuild

*,
force: 'bool' = False,
raise_errors: 'bool' = True,
_parent_namespace_depth: 'int' = 2,
_types_namespace: 'MappingNamespace | None' = None

Try to rebuild the pydantic-core schema for the model. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Arguments

force: Whether to force the rebuilding of the model schema, defaults to False.
raise_errors: Whether to raise errors, defaults to True.
_parent_namespace_depth: The depth level of the parent namespace, defaults to 2.
_types_namespace: The types namespace, defaults to None.

`method` model_validate

obj: 'Any', *,
strict: 'bool | None' = None,
from_attributes: 'bool | None' = None,
context: 'Any | None' = None,
by_alias: 'bool | None' = None,
by_name: 'bool | None' = None

Validate a pydantic model instance.

Arguments

obj: The object to validate.
strict: Whether to enforce types strictly.
from_attributes: Whether to extract data from object attributes.
context: Additional context to pass to the validator.
by_alias: Whether to use the field’s alias when validating against the provided input data.
by_name: Whether to use the field’s name when validating against the provided input data.

Raises

ValidationError: If the object could not be validated.

`method` model_validate_json

json_data: 'str | bytes | bytearray', *,
strict: 'bool | None' = None,
context: 'Any | None' = None,
by_alias: 'bool | None' = None,
by_name: 'bool | None' = None

!!! abstract “Usage Documentation” JSON Parsing Validate the given JSON data against the Pydantic model.

Arguments

json_data: The JSON data to validate.
strict: Whether to enforce types strictly.
context: Extra variables to pass to the validator.
by_alias: Whether to use the field’s alias when validating against the provided input data.
by_name: Whether to use the field’s name when validating against the provided input data.

Raises

ValidationError: If json_data is not a JSON string or the object could not be validated.

`method` model_validate_strings

obj: 'Any', *,
strict: 'bool | None' = None,
context: 'Any | None' = None,
by_alias: 'bool | None' = None,
by_name: 'bool | None' = None

Validate the given object with string data against the Pydantic model.

Arguments

obj: The object containing string data to validate.
strict: Whether to enforce types strictly.
context: Extra variables to pass to the validator.
by_alias: Whether to use the field’s alias when validating against the provided input data.
by_name: Whether to use the field’s name when validating against the provided input data.

`method` parse_file

path: 'str | Path', *,
content_type: 'str | None' = None,
encoding: 'str' = 'utf8',
proto: 'DeprecatedParseProtocol | None' = None,
allow_pickle: 'bool' = False

Arguments

path:
content_type:
encoding:
proto:
allow_pickle:

`method` parse_obj

obj: 'Any'

Arguments

obj:

`method` parse_raw

b: 'str | bytes', *,
content_type: 'str | None' = None,
encoding: 'str' = 'utf8',
proto: 'DeprecatedParseProtocol | None' = None,
allow_pickle: 'bool' = False

Arguments

b:
content_type:
encoding:
proto:
allow_pickle:

`method` schema

by_alias: 'bool' = True,
ref_template: 'str' = '#/$defs/{model}'

Arguments

by_alias:
ref_template:

`method` schema_json

*,
by_alias: 'bool' = True,
ref_template: 'str' = '#/$defs/{model}', **dumps_kwargs: 'Any'

Arguments

by_alias:
ref_template:
dumps_kwargs:

`method` update_forward_refs

**localns: 'Any'

Arguments

localns:

`method` validate

value: 'Any'

Arguments

value:

`method` validate_anonymous

value: 'object'

Arguments

value:

`method` validate_x_extra_http_headers

(value)

Arguments

value:

`method` validate_x_stats_coreweave_metadata_base_url

(value)

Arguments

value:

Documentation Index

​Description

​Args

​Properties

​property app_url

​property colab_url

​property deployment

​property files_dir

​property is_local

​property log_dir

​property log_internal

​property log_symlink_internal

​property log_symlink_user

​property log_user

​property project_url

​property resume_fname

​property run_mode

​property run_url

​property settings_workspace

​property sweep_url

​property sync_dir

​property sync_file

​property sync_symlink_latest

​property timespec

​property wandb_dir

​Methods

​method construct

Arguments

​method copy

Arguments

​method dict

Arguments

​method from_orm

Arguments

​method json

Arguments

​method model_construct

Arguments

​method model_copy

Arguments

​method model_dump

Arguments

​method model_dump_json

Arguments

​method model_json_schema

Arguments

​method model_parametrized_name

Arguments

Raises

​method model_post_init

Arguments

​method model_rebuild

Arguments

​method model_validate

Arguments

Raises

​method model_validate_json

Arguments

Raises

​method model_validate_strings

Arguments

​method parse_file

Arguments

​method parse_obj

Arguments

​method parse_raw

Arguments

​method schema

Arguments

​method schema_json

Arguments

​method update_forward_refs

Arguments

​method validate

Arguments

​method validate_anonymous

Arguments

​method validate_x_extra_http_headers

Arguments

​method validate_x_stats_coreweave_metadata_base_url

Description

Args

Properties

`property` app_url

`property` colab_url

`property` deployment

`property` files_dir

`property` is_local

`property` log_dir

`property` log_internal

`property` log_symlink_internal

`property` log_symlink_user

`property` log_user

`property` project_url

`property` resume_fname

`property` run_mode

`property` run_url

`property` settings_workspace

`property` sweep_url

`property` sync_dir

`property` sync_file

`property` sync_symlink_latest

`property` timespec

`property` wandb_dir

Methods

`method` construct

`method` copy

`method` dict

`method` from_orm

`method` json

`method` model_construct

`method` model_copy

`method` model_dump

`method` model_dump_json

`method` model_json_schema

`method` model_parametrized_name

`method` model_post_init

`method` model_rebuild

`method` model_validate

`method` model_validate_json

`method` model_validate_strings

`method` parse_file

`method` parse_obj

`method` parse_raw

`method` schema

`method` schema_json

`method` update_forward_refs

`method` validate

`method` validate_anonymous

`method` validate_x_extra_http_headers

`method` validate_x_stats_coreweave_metadata_base_url