langchain.schema.agent.AgentFinish¶
class langchain.schema.agent.AgentFinish[source]¶
Bases: Serializable
The final return value of an ActionAgent.
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 log: str [Required]¶
Additional information to log about the return value.
This is used to pass along the full LLM prediction, not just the parsed out
return value. For example, if the full LLM prediction was
Final Answer: 2 you may want to just return 2 as a return value, but pass
along the full string as a log (for debugging or observability purposes).
param return_values: dict [Required]¶
Dictionary of return values.
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