langchain_community.agent_toolkits.nla.toolkit.NLAToolkit¶

class langchain_community.agent_toolkits.nla.toolkit.NLAToolkit[source]¶

Bases: BaseToolkit

Natural Language API Toolkit.

Security Note: This toolkit creates tools that enable making calls

to an Open API compliant API.

The tools created by this toolkit may be able to make GET, POST, PATCH, PUT, DELETE requests to any of the exposed endpoints on the API.

Control access to who can use this toolkit.

See https://python.langchain.com/docs/security for more information.

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 nla_tools: Sequence[NLATool] [Required]¶

List of API Endpoint Tools.

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_llm_and_ai_plugin(llm: BaseLanguageModel, ai_plugin: AIPlugin, requests: Optional[Requests] = None, verbose: bool = False, **kwargs: Any) → NLAToolkit[source]¶

Instantiate the toolkit from an OpenAPI Spec URL

classmethod from_llm_and_ai_plugin_url(llm: BaseLanguageModel, ai_plugin_url: str, requests: Optional[Requests] = None, verbose: bool = False, **kwargs: Any) → NLAToolkit[source]¶

Instantiate the toolkit from an OpenAPI Spec URL

classmethod from_llm_and_spec(llm: BaseLanguageModel, spec: OpenAPISpec, requests: Optional[Requests] = None, verbose: bool = False, **kwargs: Any) → NLAToolkit[source]¶

Instantiate the toolkit by creating tools for each operation.

classmethod from_llm_and_url(llm: BaseLanguageModel, open_api_url: str, requests: Optional[Requests] = None, verbose: bool = False, **kwargs: Any) → NLAToolkit[source]¶

Instantiate the toolkit from an OpenAPI Spec URL

classmethod from_orm(obj: Any) → Model¶
get_tools() → List[BaseTool][source]¶

Get the tools for all the API operations.

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¶

Examples using NLAToolkit¶