TracerSessionResult#

A project, hydrated with additional information.

Sessions are also referred to as “Projects” in the UI.

Initialize a Run object.

Attributes

`metadata`	Retrieve the metadata (if any).
`tags`	Retrieve the tags (if any).
`url`	URL of this run within the app.

Methods

`__init__`([_host_url])	Initialize a Run object.
`construct`([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
`copy`(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
`dict`(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
`from_orm`(obj)
`json`(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
`parse_file`(path, *[, content_type, ...])
`parse_obj`(obj)
`parse_raw`(b, *[, content_type, encoding, ...])
`schema`([by_alias, ref_template])
`schema_json`(*[, by_alias, ref_template])
`update_forward_refs`(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
`validate`(value)

Parameters:

_host_url (str | None)
id (UUID)
start_time (datetime)
end_time (datetime | None)
description (str | None)
name (str | None)
extra (dict[str, Any] | None)
tenant_id (UUID)
reference_dataset_id (UUID | None)
run_count (int | None)
latency_p50 (timedelta | None)
latency_p99 (timedelta | None)
total_tokens (int | None)
prompt_tokens (int | None)
completion_tokens (int | None)
last_run_start_time (datetime | None)
feedback_stats (dict[str, Any] | None)
run_facets (list[dict[str, Any]] | None)
total_cost (Decimal | None)
prompt_cost (Decimal | None)
completion_cost (Decimal | None)
first_token_p50 (timedelta | None)
first_token_p99 (timedelta | None)
error_rate (float | None)

__init__(

_host_url: str | None = None,

**kwargs: Any,

) → None#

Initialize a Run object.

Parameters:

_host_url (str | None)
kwargs (Any)

Return type:

None

classmethod construct(

_fields_set: SetStr | None = None,

**values: Any,

) → Model#

Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

Parameters:

_fields_set (SetStr | None)
values (Any)

Return type:

Model

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters:

include (AbstractSetIntStr | MappingIntStrAny | None) – fields to include in new model
exclude (AbstractSetIntStr | MappingIntStrAny | None) – fields to exclude from new model, as with values this takes precedence over include
update (DictStrAny | None) – 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 (bool) – set to True to make a deep copy of the model
self (Model)

Returns:

new model instance

Return type:

Model

dict( *, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, ) → DictStrAny#

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

include (AbstractSetIntStr | MappingIntStrAny | None)
exclude (AbstractSetIntStr | MappingIntStrAny | None)
by_alias (bool)
skip_defaults (bool | None)
exclude_unset (bool)
exclude_defaults (bool)
exclude_none (bool)

Return type:

DictStrAny

classmethod from_orm(obj: Any) → Model#

Parameters:: obj (Any)
Return type:: Model

json(

*,

include: AbstractSetIntStr | MappingIntStrAny | None = None,

exclude: AbstractSetIntStr | MappingIntStrAny | None = None,

by_alias: bool = False,

skip_defaults: bool | None = None,

exclude_unset: bool = False,

exclude_defaults: bool = False,

exclude_none: bool = False,

encoder: Callable[[Any], Any] | None = None,

models_as_dict: bool = True,

**dumps_kwargs: Any,

) → str#

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

Parameters:

include (AbstractSetIntStr | MappingIntStrAny | None)
exclude (AbstractSetIntStr | MappingIntStrAny | None)
by_alias (bool)
skip_defaults (bool | None)
exclude_unset (bool)
exclude_defaults (bool)
exclude_none (bool)
encoder (Callable[[Any], Any] | None)
models_as_dict (bool)
dumps_kwargs (Any)

Return type:

str

classmethod parse_file( path: str | Path, *, content_type: str = None, encoding: str = 'utf8', proto: Protocol = None, allow_pickle: bool = False, ) → Model#

Parameters:

path (str | Path)
content_type (str)
encoding (str)
proto (Protocol)
allow_pickle (bool)

Return type:

Model

classmethod parse_obj(obj: Any) → Model#

Parameters:: obj (Any)
Return type:: Model

classmethod parse_raw( b: str | bytes, *, content_type: str = None, encoding: str = 'utf8', proto: Protocol = None, allow_pickle: bool = False, ) → Model#

Parameters:

b (str | bytes)
content_type (str)
encoding (str)
proto (Protocol)
allow_pickle (bool)

Return type:

Model

classmethod schema( by_alias: bool = True, ref_template: str = '#/definitions/{model}', ) → DictStrAny#

Parameters:

by_alias (bool)
ref_template (str)

Return type:

DictStrAny

classmethod schema_json(

*,

by_alias: bool = True,

ref_template: str = '#/definitions/{model}',

**dumps_kwargs: Any,

) → str#

Parameters:

by_alias (bool)
ref_template (str)
dumps_kwargs (Any)

Return type:

str

classmethod update_forward_refs(

**localns: Any,

) → None#

Try to update ForwardRefs on fields based on this Model, globalns and localns.

Parameters:: localns (Any)
Return type:: None

classmethod validate(value: Any) → Model#

Parameters:: value (Any)
Return type:: Model