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langchain/langchain/prompt.py

48 lines
1.5 KiB
Python

"""Prompt schema definition."""
from typing import Any, Dict, List
from pydantic import BaseModel, Extra, root_validator
from langchain.formatting import formatter
_FORMATTER_MAPPING = {
"f-string": formatter.format,
}
class Prompt(BaseModel):
"""Schema to represent a prompt for an LLM."""
input_variables: List[str]
template: str
template_format: str = "f-string"
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
def format(self, **kwargs: Any) -> str:
"""Format the prompt with the inputs."""
return _FORMATTER_MAPPING[self.template_format](self.template, **kwargs)
@root_validator()
def template_is_valid(cls, values: Dict) -> Dict:
"""Check that template and input variables are consistent."""
input_variables = values["input_variables"]
template = values["template"]
template_format = values["template_format"]
if template_format not in _FORMATTER_MAPPING:
valid_formats = list(_FORMATTER_MAPPING)
raise ValueError(
f"Invalid template format. Got `{template_format}`;"
f" should be one of {valid_formats}"
)
dummy_inputs = {input_variable: "foo" for input_variable in input_variables}
try:
formatter_func = _FORMATTER_MAPPING[template_format]
formatter_func(template, **dummy_inputs)
except KeyError:
raise ValueError("Invalid prompt schema.")
return values