langchain_community.utilities.tavily_search
.TavilySearchAPIWrapper¶
- class langchain_community.utilities.tavily_search.TavilySearchAPIWrapper[source]¶
Bases:
BaseModel
Wrapper for Tavily Search API.
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 tavily_api_key: SecretStr [Required]¶
- Constraints
type = string
writeOnly = True
format = password
- 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 ¶
- raw_results(query: str, max_results: Optional[int] = 5, search_depth: Optional[str] = 'advanced', include_domains: Optional[List[str]] = [], exclude_domains: Optional[List[str]] = [], include_answer: Optional[bool] = False, include_raw_content: Optional[bool] = False, include_images: Optional[bool] = False) Dict [source]¶
- async raw_results_async(query: str, max_results: Optional[int] = 5, search_depth: Optional[str] = 'advanced', include_domains: Optional[List[str]] = [], exclude_domains: Optional[List[str]] = [], include_answer: Optional[bool] = False, include_raw_content: Optional[bool] = False, include_images: Optional[bool] = False) Dict [source]¶
Get results from the Tavily Search API asynchronously.
- results(query: str, max_results: Optional[int] = 5, search_depth: Optional[str] = 'advanced', include_domains: Optional[List[str]] = [], exclude_domains: Optional[List[str]] = [], include_answer: Optional[bool] = False, include_raw_content: Optional[bool] = False, include_images: Optional[bool] = False) List[Dict] [source]¶
Run query through Tavily Search and return metadata.
- Parameters
query – The query to search for.
max_results – The maximum number of results to return.
search_depth – The depth of the search. Can be “basic” or “advanced”.
include_domains – A list of domains to include in the search.
exclude_domains – A list of domains to exclude from the search.
include_answer – Whether to include the answer in the results.
include_raw_content – Whether to include the raw content in the results.
include_images – Whether to include images in the results.
- Returns
The query that was searched for. follow_up_questions: A list of follow up questions. response_time: The response time of the query. answer: The answer to the query. images: A list of images. results: A list of dictionaries containing the results:
title: The title of the result. url: The url of the result. content: The content of the result. score: The score of the result. raw_content: The raw content of the result.
- Return type
query
- async results_async(query: str, max_results: Optional[int] = 5, search_depth: Optional[str] = 'advanced', include_domains: Optional[List[str]] = [], exclude_domains: Optional[List[str]] = [], include_answer: Optional[bool] = False, include_raw_content: Optional[bool] = False, include_images: Optional[bool] = False) List[Dict] [source]¶
- 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 ¶