langchain_core.agents.AgentActionΒΆ

class langchain_core.agents.AgentAction[source]ΒΆ

Bases: Serializable

A full description of an action for an ActionAgent to execute.

Override init to support instantiation by position for backward compat.

param log: str [Required]ΒΆ

Additional information to log about the action. This log can be used in a few ways. First, it can be used to audit what exactly the LLM predicted to lead to this (tool, tool_input). Second, it can be used in future iterations to show the LLMs prior thoughts. This is useful when (tool, tool_input) does not contain full information about the LLM prediction (for example, any thought before the tool/tool_input).

param tool: str [Required]ΒΆ

The name of the Tool to execute.

param tool_input: Union[str, dict] [Required]ΒΆ

The input to pass in to the Tool.

param type: Literal['AgentAction'] = 'AgentAction'ΒΆ
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) ModelΒΆ

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 = β€˜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) ModelΒΆ

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) DictStrAnyΒΆ

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

classmethod from_orm(obj: Any) ModelΒΆ
classmethod get_lc_namespace() List[str][source]ΒΆ

Get the namespace of the langchain object.

classmethod is_lc_serializable() bool[source]ΒΆ

Return whether or not the class is serializable.

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) unicodeΒΆ

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 lc_id() List[str]ΒΆ

A unique identifier for this class for serialization purposes.

The unique identifier is a list of strings that describes the path to the object.

classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) ModelΒΆ
classmethod parse_obj(obj: Any) ModelΒΆ
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) ModelΒΆ
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') DictStrAnyΒΆ
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) unicodeΒΆ
to_json() Union[SerializedConstructor, SerializedNotImplemented]ΒΆ
to_json_not_implemented() SerializedNotImplementedΒΆ
classmethod update_forward_refs(**localns: Any) NoneΒΆ

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

classmethod validate(value: Any) ModelΒΆ
property lc_attributes: DictΒΆ

List of attribute names that should be included in the serialized kwargs.

These attributes must be accepted by the constructor.

property lc_secrets: Dict[str, str]ΒΆ

A map of constructor argument names to secret ids.

For example,

{β€œopenai_api_key”: β€œOPENAI_API_KEY”}

property messages: Sequence[langchain_core.messages.base.BaseMessage]ΒΆ

Return the messages that correspond to this action.

Examples using AgentActionΒΆ