langchain_core.tracers.schemas.Run

class langchain_core.tracers.schemas.Run

Bases: RunBase

Run schema for the V2 API in the Tracer.

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.

param child_execution_order: int [Required]

param child_runs: List[Run] [Optional]

param dotted_order: Optional[str] = None

param end_time: Optional[datetime] = None

End time of the run, if applicable.

param error: Optional[str] = None

Error message, if the run encountered any issues.

param events: List[Dict[str, Any]] [Optional]

List of events associated with the run, like start and end events.

param execution_order: int [Required]

param extra: Optional[dict] = None

Additional metadata or settings related to the run.

param id: UUID [Required]

Unique identifier for the run.

param inputs: dict [Required]

Inputs used for the run.

param name: str [Required]

Human-readable name for the run.

param outputs: Optional[dict] = None

Outputs generated by the run, if any.

param parent_run_id: Optional[UUID] = None

Identifier for a parent run, if this run is a sub-run.

param reference_example_id: Optional[UUID] = None

Reference to an example that this run may be based on.

param run_type: str [Required]

The type of run, such as tool, chain, llm, retriever, embedding, prompt, parser.

param serialized: Optional[dict] = None

Serialized object that executed the run for potential reuse.

param start_time: datetime [Required]

Start time of the run.

param tags: Optional[List[str]] [Optional]

Tags for categorizing or annotating the run.

param trace_id: Optional[UUID] = None

classmethod construct(_fields_set: Optional[SetStr] = 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

copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model

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

Parameters

• include – fields to include in new model

• exclude – fields to exclude from new model, as with values this takes precedence over include

• 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

Returns

new model instance

dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = 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.

classmethod from_orm(obj: Any) → Model

json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode

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().

classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model

classmethod parse_obj(obj: Any) → Model

classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model

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

classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode

classmethod update_forward_refs(**localns: Any) → None

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

classmethod validate(value: Any) → Model