langchain.agents.openai_assistant.base
.OpenAIAssistantActionΒΆ
- class langchain.agents.openai_assistant.base.OpenAIAssistantAction[source]ΒΆ
Bases:
AgentAction
AgentAction with info needed to submit custom tool output to existing run.
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 run_id: str [Required]ΒΆ
- param thread_id: str [Required]ΒΆ
- param tool: str [Required]ΒΆ
The name of the Tool to execute.
- param tool_call_id: str [Required]ΒΆ
- 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) Model ΒΆ
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 = βallowβ 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 ΒΆ
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters
include β fields to include in new model
exclude β fields to exclude from new model, as with values this takes precedence over include
update β 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 β 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 ΒΆ
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- classmethod from_orm(obj: Any) Model ΒΆ
- classmethod get_lc_namespace() List[str] ΒΆ
Get the namespace of the langchain object.
- 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 ΒΆ
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) Model ΒΆ
- classmethod parse_obj(obj: Any) Model ΒΆ
- classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ΒΆ
- classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') DictStrAny ΒΆ
- classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) unicode ΒΆ
- to_json() Union[SerializedConstructor, SerializedNotImplemented] ΒΆ
- to_json_not_implemented() SerializedNotImplemented ΒΆ
- classmethod update_forward_refs(**localns: Any) None ΒΆ
Try to update ForwardRefs on fields based on this Model, globalns and localns.
- classmethod validate(value: Any) Model ΒΆ
- 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,
{βopenai_api_keyβ: βOPENAI_API_KEYβ}
- property messages: Sequence[langchain_core.messages.base.BaseMessage]ΒΆ
Return the messages that correspond to this action.