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llm.py — langchain Source File

Architecture documentation for llm.py, a python file in the langchain codebase. 17 imports, 0 dependents.

File python AgentOrchestration ClassicChains 17 imports 1 functions 1 classes

Entity Profile

Dependency Diagram

graph LR
  0cb3a171_64ff_944b_88ef_4b11fdfc752a["llm.py"]
  f3365e3c_fb7a_bb9a_bc79_059b06cb7024["warnings"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> f3365e3c_fb7a_bb9a_bc79_059b06cb7024
  2bf6d401_816d_d011_3b05_a6114f55ff58["collections.abc"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 2bf6d401_816d_d011_3b05_a6114f55ff58
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> feec1ec4_6917_867b_d228_b134d0ff8099
  2485b66a_3839_d0b6_ad9c_a4ff40457dc6["langchain_core._api"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 2485b66a_3839_d0b6_ad9c_a4ff40457dc6
  17a62cb3_fefd_6320_b757_b53bb4a1c661["langchain_core.callbacks"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 17a62cb3_fefd_6320_b757_b53bb4a1c661
  e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> e929cf21_6ab8_6ff3_3765_0d35a099a053
  9444498b_8066_55c7_b3a2_1d90c4162a32["langchain_core.messages"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 9444498b_8066_55c7_b3a2_1d90c4162a32
  628cbc5d_711f_ac0c_2f53_db992d48d7da["langchain_core.output_parsers"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 628cbc5d_711f_ac0c_2f53_db992d48d7da
  4382dc25_6fba_324a_49e2_e9742d579385["langchain_core.outputs"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 4382dc25_6fba_324a_49e2_e9742d579385
  b9f9a99f_aaea_6efd_1322_fc2c11bdc4b4["langchain_core.prompt_values"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> b9f9a99f_aaea_6efd_1322_fc2c11bdc4b4
  435e49bf_bb2e_2016_ead7_0afb9d57ad71["langchain_core.prompts"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 435e49bf_bb2e_2016_ead7_0afb9d57ad71
  31eab4ab_7281_1e6c_b17d_12e6ad9de07a["langchain_core.runnables"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 31eab4ab_7281_1e6c_b17d_12e6ad9de07a
  98287a56_7cd6_c103_aa17_5ec9576ef7cf["langchain_core.runnables.configurable"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 98287a56_7cd6_c103_aa17_5ec9576ef7cf
  642ed52d_bfb8_4975_afd4_eabf3187405c["langchain_core.utils.input"]
  0cb3a171_64ff_944b_88ef_4b11fdfc752a --> 642ed52d_bfb8_4975_afd4_eabf3187405c
  style 0cb3a171_64ff_944b_88ef_4b11fdfc752a fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Chain that just formats a prompt and calls an LLM."""

from __future__ import annotations

import warnings
from collections.abc import Sequence
from typing import Any, cast

from langchain_core._api import deprecated
from langchain_core.callbacks import (
    AsyncCallbackManager,
    AsyncCallbackManagerForChainRun,
    CallbackManager,
    CallbackManagerForChainRun,
    Callbacks,
)
from langchain_core.language_models import (
    BaseLanguageModel,
    LanguageModelInput,
)
from langchain_core.messages import BaseMessage
from langchain_core.output_parsers import BaseLLMOutputParser, StrOutputParser
from langchain_core.outputs import ChatGeneration, Generation, LLMResult
from langchain_core.prompt_values import PromptValue
from langchain_core.prompts import BasePromptTemplate, PromptTemplate
from langchain_core.runnables import (
    Runnable,
    RunnableBinding,
    RunnableBranch,
    RunnableWithFallbacks,
)
from langchain_core.runnables.configurable import DynamicRunnable
from langchain_core.utils.input import get_colored_text
from pydantic import ConfigDict, Field
from typing_extensions import override

from langchain_classic.chains.base import Chain


@deprecated(
    since="0.1.17",
    alternative="RunnableSequence, e.g., `prompt | llm`",
    removal="1.0",
)
class LLMChain(Chain):
    """Chain to run queries against LLMs.

    This class is deprecated. See below for an example implementation using
    LangChain runnables:

        ```python
        from langchain_core.output_parsers import StrOutputParser
        from langchain_core.prompts import PromptTemplate
        from langchain_openai import OpenAI

        prompt_template = "Tell me a {adjective} joke"
        prompt = PromptTemplate(input_variables=["adjective"], template=prompt_template)
        model = OpenAI()
        chain = prompt | model | StrOutputParser()

// ... (373 more lines)

Domain

Subdomains

Functions

Classes

Dependencies

  • collections.abc
  • langchain_classic.chains.base
  • langchain_core._api
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.messages
  • langchain_core.output_parsers
  • langchain_core.outputs
  • langchain_core.prompt_values
  • langchain_core.prompts
  • langchain_core.runnables
  • langchain_core.runnables.configurable
  • langchain_core.utils.input
  • pydantic
  • typing
  • typing_extensions
  • warnings

Source

Frequently Asked Questions

What does llm.py do?
llm.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 llm.py?
llm.py defines 1 function(s): _get_language_model.
What does llm.py depend on?
llm.py imports 17 module(s): collections.abc, langchain_classic.chains.base, langchain_core._api, langchain_core.callbacks, langchain_core.language_models, langchain_core.messages, langchain_core.output_parsers, langchain_core.outputs, and 9 more.
Where is llm.py in the architecture?
llm.py is located at libs/langchain/langchain_classic/chains/llm.py (domain: AgentOrchestration, subdomain: ClassicChains, directory: libs/langchain/langchain_classic/chains).

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