Source code for langchain_core.prompts.few_shot_with_templates
"""Prompt template that contains few shot examples."""
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from langchain_core.prompts.prompt import PromptTemplate
from langchain_core.prompts.string import (
    DEFAULT_FORMATTER_MAPPING,
    StringPromptTemplate,
)
from langchain_core.pydantic_v1 import Extra, root_validator
[docs]class FewShotPromptWithTemplates(StringPromptTemplate):
    """Prompt template that contains few shot examples."""
    examples: Optional[List[dict]] = None
    """Examples to format into the prompt.
    Either this or example_selector should be provided."""
    example_selector: Any = None
    """ExampleSelector to choose the examples to format into the prompt.
    Either this or examples should be provided."""
    example_prompt: PromptTemplate
    """PromptTemplate used to format an individual example."""
    suffix: StringPromptTemplate
    """A PromptTemplate to put after the examples."""
    input_variables: List[str]
    """A list of the names of the variables the prompt template expects."""
    example_separator: str = "\n\n"
    """String separator used to join the prefix, the examples, and suffix."""
    prefix: Optional[StringPromptTemplate] = None
    """A PromptTemplate to put before the examples."""
    template_format: str = "f-string"
    """The format of the prompt template. Options are: 'f-string', 'jinja2'."""
    validate_template: bool = False
    """Whether or not to try validating the template."""
[docs]    @classmethod
    def get_lc_namespace(cls) -> List[str]:
        """Get the namespace of the langchain object."""
        return ["langchain", "prompts", "few_shot_with_templates"]