ToolRun#
- class langchain_core.tracers.schemas.ToolRun(*, uuid: str, parent_uuid: str | None = None, start_time: datetime = None, end_time: datetime = None, extra: dict[str, Any] | None = None, execution_order: int, child_execution_order: int, serialized: dict[str, Any], session_id: int, error: str | None = None, tool_input: str, output: str | None = None, action: str, child_llm_runs: list[LLMRun] = None, child_chain_runs: list[ChainRun] = None, child_tool_runs: list[ToolRun] = None)[source]#
Deprecated since version 0.1.0: Use
Run
instead.Class for ToolRun.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Attributes
uuid
UUID objects (universally unique identifiers) according to RFC 4122.
Methods
__init__
(**data)Create a new model by parsing and validating input data from keyword arguments.
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:
uuid (str)
parent_uuid (str | None)
start_time (datetime)
end_time (datetime)
extra (dict[str, Any] | None)
execution_order (int)
child_execution_order (int)
serialized (dict[str, Any])
session_id (int)
error (str | None)
tool_input (str)
output (str | None)
action (str)
child_llm_runs (list[LLMRun])
child_chain_runs (list[ChainRun])
child_tool_runs (list[ToolRun])
- __init__(**data: Any) None #
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- Parameters:
data (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:
- copy(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, update: DictStrAny | None = None, deep: bool = False) 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:
- 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
- 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:
- 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:
- 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