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99 lines
3.0 KiB
Python
99 lines
3.0 KiB
Python
"""Chain for question-answering with self-verification."""
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from typing import Dict, List
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from pydantic import BaseModel, Extra
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from langchain.chains.base import Chain
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from langchain.chains.llm import LLMChain
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from langchain.chains.llm_checker.prompt import (
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CHECK_ASSERTIONS_PROMPT,
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CREATE_DRAFT_ANSWER_PROMPT,
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LIST_ASSERTIONS_PROMPT,
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REVISED_ANSWER_PROMPT,
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)
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from langchain.chains.sequential import SequentialChain
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from langchain.llms.base import BaseLLM
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from langchain.prompts import PromptTemplate
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class LLMCheckerChain(Chain, BaseModel):
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"""Chain for question-answering with self-verification.
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Example:
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.. code-block:: python
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from langchain import OpenAI, LLMCheckerChain
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llm = OpenAI(temperature=0.7)
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checker_chain = LLMCheckerChain(llm=llm)
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"""
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llm: BaseLLM
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"""LLM wrapper to use."""
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create_draft_answer_prompt: PromptTemplate = CREATE_DRAFT_ANSWER_PROMPT
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list_assertions_prompt: PromptTemplate = LIST_ASSERTIONS_PROMPT
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check_assertions_prompt: PromptTemplate = CHECK_ASSERTIONS_PROMPT
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revised_answer_prompt: PromptTemplate = REVISED_ANSWER_PROMPT
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"""Prompt to use when questioning the documents."""
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input_key: str = "query" #: :meta private:
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output_key: str = "result" #: :meta private:
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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arbitrary_types_allowed = True
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@property
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def input_keys(self) -> List[str]:
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"""Return the singular input key.
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:meta private:
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"""
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return [self.input_key]
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@property
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def output_keys(self) -> List[str]:
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"""Return the singular output key.
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:meta private:
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"""
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return [self.output_key]
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def _call(self, inputs: Dict[str, str]) -> Dict[str, str]:
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question = inputs[self.input_key]
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create_draft_answer_chain = LLMChain(
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llm=self.llm, prompt=self.create_draft_answer_prompt, output_key="statement"
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)
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list_assertions_chain = LLMChain(
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llm=self.llm, prompt=self.list_assertions_prompt, output_key="assertions"
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)
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check_assertions_chain = LLMChain(
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llm=self.llm,
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prompt=self.check_assertions_prompt,
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output_key="checked_assertions",
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)
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revised_answer_chain = LLMChain(
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llm=self.llm,
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prompt=self.revised_answer_prompt,
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output_key="revised_statement",
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)
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chains = [
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create_draft_answer_chain,
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list_assertions_chain,
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check_assertions_chain,
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revised_answer_chain,
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]
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question_to_checked_assertions_chain = SequentialChain(
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chains=chains,
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input_variables=["question"],
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output_variables=["revised_statement"],
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verbose=True,
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)
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output = question_to_checked_assertions_chain({"question": question})
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return {self.output_key: output["revised_statement"]}
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