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base.py — langchain Source File

Architecture documentation for base.py, a python file in the langchain codebase. 11 imports, 0 dependents.

File python AgentOrchestration ClassicChains 11 imports 1 functions 1 classes

Entity Profile

Dependency Diagram

graph LR
  a0a672f2_fe43_2701_45f8_1b60a2179f97["base.py"]
  f3365e3c_fb7a_bb9a_bc79_059b06cb7024["warnings"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> f3365e3c_fb7a_bb9a_bc79_059b06cb7024
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> feec1ec4_6917_867b_d228_b134d0ff8099
  2485b66a_3839_d0b6_ad9c_a4ff40457dc6["langchain_core._api"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> 2485b66a_3839_d0b6_ad9c_a4ff40457dc6
  17a62cb3_fefd_6320_b757_b53bb4a1c661["langchain_core.callbacks"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> 17a62cb3_fefd_6320_b757_b53bb4a1c661
  e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> e929cf21_6ab8_6ff3_3765_0d35a099a053
  435e49bf_bb2e_2016_ead7_0afb9d57ad71["langchain_core.prompts"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> 435e49bf_bb2e_2016_ead7_0afb9d57ad71
  dd5e7909_a646_84f1_497b_cae69735550e["pydantic"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> dd5e7909_a646_84f1_497b_cae69735550e
  9a0fc770_8c3f_14bc_3c7d_37852927778e["langchain_classic.chains.base"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> 9a0fc770_8c3f_14bc_3c7d_37852927778e
  4044d59c_c0a5_a371_f49b_bea3da4e20ac["langchain_classic.chains.llm"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> 4044d59c_c0a5_a371_f49b_bea3da4e20ac
  b810c626_01bb_a41d_ebdc_a915cd3a1365["langchain_classic.chains.llm_checker.prompt"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> b810c626_01bb_a41d_ebdc_a915cd3a1365
  0bf16f6b_4f46_fb15_0aff_bf2d4f3c153c["langchain_classic.chains.sequential"]
  a0a672f2_fe43_2701_45f8_1b60a2179f97 --> 0bf16f6b_4f46_fb15_0aff_bf2d4f3c153c
  style a0a672f2_fe43_2701_45f8_1b60a2179f97 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Chain for question-answering with self-verification."""

from __future__ import annotations

import warnings
from typing import Any

from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import PromptTemplate
from pydantic import ConfigDict, model_validator

from langchain_classic.chains.base import Chain
from langchain_classic.chains.llm import LLMChain
from langchain_classic.chains.llm_checker.prompt import (
    CHECK_ASSERTIONS_PROMPT,
    CREATE_DRAFT_ANSWER_PROMPT,
    LIST_ASSERTIONS_PROMPT,
    REVISED_ANSWER_PROMPT,
)
from langchain_classic.chains.sequential import SequentialChain


def _load_question_to_checked_assertions_chain(
    llm: BaseLanguageModel,
    create_draft_answer_prompt: PromptTemplate,
    list_assertions_prompt: PromptTemplate,
    check_assertions_prompt: PromptTemplate,
    revised_answer_prompt: PromptTemplate,
) -> SequentialChain:
    create_draft_answer_chain = LLMChain(
        llm=llm,
        prompt=create_draft_answer_prompt,
        output_key="statement",
    )
    list_assertions_chain = LLMChain(
        llm=llm,
        prompt=list_assertions_prompt,
        output_key="assertions",
    )
    check_assertions_chain = LLMChain(
        llm=llm,
        prompt=check_assertions_prompt,
        output_key="checked_assertions",
    )
    revised_answer_chain = LLMChain(
        llm=llm,
        prompt=revised_answer_prompt,
        output_key="revised_statement",
    )
    chains = [
        create_draft_answer_chain,
        list_assertions_chain,
        check_assertions_chain,
        revised_answer_chain,
    ]
    return SequentialChain(
        chains=chains,
        input_variables=["question"],
// ... (140 more lines)

Subdomains

Classes

Dependencies

  • langchain_classic.chains.base
  • langchain_classic.chains.llm
  • langchain_classic.chains.llm_checker.prompt
  • langchain_classic.chains.sequential
  • langchain_core._api
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.prompts
  • pydantic
  • typing
  • warnings

Frequently Asked Questions

What does base.py do?
base.py is a source file in the langchain codebase, written in python. It belongs to the AgentOrchestration domain, ClassicChains subdomain.
What functions are defined in base.py?
base.py defines 1 function(s): _load_question_to_checked_assertions_chain.
What does base.py depend on?
base.py imports 11 module(s): langchain_classic.chains.base, langchain_classic.chains.llm, langchain_classic.chains.llm_checker.prompt, langchain_classic.chains.sequential, langchain_core._api, langchain_core.callbacks, langchain_core.language_models, langchain_core.prompts, and 3 more.
Where is base.py in the architecture?
base.py is located at libs/langchain/langchain_classic/chains/llm_checker/base.py (domain: AgentOrchestration, subdomain: ClassicChains, directory: libs/langchain/langchain_classic/chains/llm_checker).

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