LengthBasedExampleSelector#

class langchain_core.example_selectors.length_based.LengthBasedExampleSelector[source]#

Select examples based on length.

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 example_prompt: PromptTemplate [Required]#: Prompt template used to format the examples.

param examples: List[dict] [Required]#: A list of the examples that the prompt template expects.

param get_text_length: Callable[[str], int] = <function _get_length_based>#: Function to measure prompt length. Defaults to word count.

param max_length: int = 2048#: Max length for the prompt, beyond which examples are cut.

async aadd_example(example: Dict[str, str]) → None[source]#

Async add new example to list.

Parameters:: example (Dict[str, str]) – A dictionary with keys as input variables and values as their values.
Return type:: None

add_example(example: Dict[str, str]) → None[source]#

Add new example to list.

Parameters:: example (Dict[str, str]) – A dictionary with keys as input variables and values as their values.
Return type:: None

async aselect_examples(input_variables: Dict[str, str]) → List[dict][source]#

Async select which examples to use based on the input lengths.

Parameters:: input_variables (Dict[str, str]) – A dictionary with keys as input variables and values as their values.
Returns:: A list of examples to include in the prompt.
Return type:: List[dict]

select_examples(input_variables: Dict[str, str]) → List[dict][source]#

Select which examples to use based on the input lengths.

Parameters:: input_variables (Dict[str, str]) – A dictionary with keys as input variables and values as their values.
Returns:: A list of examples to include in the prompt.
Return type:: List[dict]

Examples using LengthBasedExampleSelector