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base.py — langchain Source File

Architecture documentation for base.py, a python file in the langchain codebase. 13 imports, 0 dependents.

File python AgentOrchestration ClassicChains 13 imports 1 classes

Entity Profile

Dependency Diagram

graph LR
  741d2e29_6de6_25ca_8725_b1f137d4303e["base.py"]
  5ae36043_4f11_1bb7_1115_8f9929a82759["math"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 5ae36043_4f11_1bb7_1115_8f9929a82759
  b7996424_637b_0b54_6edf_2e18e9c1a8bf["re"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> b7996424_637b_0b54_6edf_2e18e9c1a8bf
  f3365e3c_fb7a_bb9a_bc79_059b06cb7024["warnings"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> f3365e3c_fb7a_bb9a_bc79_059b06cb7024
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> feec1ec4_6917_867b_d228_b134d0ff8099
  2485b66a_3839_d0b6_ad9c_a4ff40457dc6["langchain_core._api"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 2485b66a_3839_d0b6_ad9c_a4ff40457dc6
  17a62cb3_fefd_6320_b757_b53bb4a1c661["langchain_core.callbacks"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 17a62cb3_fefd_6320_b757_b53bb4a1c661
  e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> e929cf21_6ab8_6ff3_3765_0d35a099a053
  435e49bf_bb2e_2016_ead7_0afb9d57ad71["langchain_core.prompts"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 435e49bf_bb2e_2016_ead7_0afb9d57ad71
  dd5e7909_a646_84f1_497b_cae69735550e["pydantic"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> dd5e7909_a646_84f1_497b_cae69735550e
  9a0fc770_8c3f_14bc_3c7d_37852927778e["langchain_classic.chains.base"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 9a0fc770_8c3f_14bc_3c7d_37852927778e
  4044d59c_c0a5_a371_f49b_bea3da4e20ac["langchain_classic.chains.llm"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 4044d59c_c0a5_a371_f49b_bea3da4e20ac
  057c2c78_ea3b_1d30_3ccf_a4972f0f9576["langchain_classic.chains.llm_math.prompt"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> 057c2c78_ea3b_1d30_3ccf_a4972f0f9576
  d2c0a964_2ded_2db5_5a8c_34b941845f9e["numexpr"]
  741d2e29_6de6_25ca_8725_b1f137d4303e --> d2c0a964_2ded_2db5_5a8c_34b941845f9e
  style 741d2e29_6de6_25ca_8725_b1f137d4303e fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Chain that interprets a prompt and executes python code to do math."""

from __future__ import annotations

import math
import re
import warnings
from typing import Any

from langchain_core._api import deprecated
from langchain_core.callbacks import (
    AsyncCallbackManagerForChainRun,
    CallbackManagerForChainRun,
)
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
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_math.prompt import PROMPT


@deprecated(
    since="0.2.13",
    message=(
        "This class is deprecated and will be removed in langchain 1.0. "
        "See API reference for replacement: "
        "https://api.python.langchain.com/en/latest/chains/langchain.chains.llm_math.base.LLMMathChain.html"
    ),
    removal="1.0",
)
class LLMMathChain(Chain):
    """Chain that interprets a prompt and executes python code to do math.

    !!! note
        This class is deprecated. See below for a replacement implementation using
        LangGraph. The benefits of this implementation are:

        - Uses LLM tool calling features;
        - Support for both token-by-token and step-by-step streaming;
        - Support for checkpointing and memory of chat history;
        - Easier to modify or extend
            (e.g., with additional tools, structured responses, etc.)

        Install LangGraph with:

        ```bash
        pip install -U langgraph
        ```

        ```python
        import math
        from typing import Annotated, Sequence

        from langchain_core.messages import BaseMessage
        from langchain_core.runnables import RunnableConfig
        from langchain_core.tools import tool
        from langchain_openai import ChatOpenAI
        from langgraph.graph import END, StateGraph
// ... (256 more lines)

Domain

Subdomains

Classes

Dependencies

  • langchain_classic.chains.base
  • langchain_classic.chains.llm
  • langchain_classic.chains.llm_math.prompt
  • langchain_core._api
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.prompts
  • math
  • numexpr
  • pydantic
  • re
  • typing
  • warnings

Source

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 does base.py depend on?
base.py imports 13 module(s): langchain_classic.chains.base, langchain_classic.chains.llm, langchain_classic.chains.llm_math.prompt, langchain_core._api, langchain_core.callbacks, langchain_core.language_models, langchain_core.prompts, math, and 5 more.
Where is base.py in the architecture?
base.py is located at libs/langchain/langchain_classic/chains/llm_math/base.py (domain: AgentOrchestration, subdomain: ClassicChains, directory: libs/langchain/langchain_classic/chains/llm_math).

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