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llm_router.py — langchain Source File

Architecture documentation for llm_router.py, a python file in the langchain codebase. 12 imports, 0 dependents.

Entity Profile

Dependency Diagram

graph LR
  d209ac07_16f4_9734_0dcf_48baaf0a78ad["llm_router.py"]
  8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"]
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  f3bc7443_c889_119d_0744_aacc3620d8d2["langchain_core.callbacks"]
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  75137834_4ba7_dc43_7ec5_182c05eceedf["langchain_core.exceptions"]
  d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 75137834_4ba7_dc43_7ec5_182c05eceedf
  ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"]
  d209ac07_16f4_9734_0dcf_48baaf0a78ad --> ba43b74d_3099_7e1c_aac3_cf594720469e
  83d7c7fd_1989_762c_9cf3_cecb50ada22b["langchain_core.output_parsers"]
  d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 83d7c7fd_1989_762c_9cf3_cecb50ada22b
  e6b4f61e_7b98_6666_3641_26b069517d4a["langchain_core.prompts"]
  d209ac07_16f4_9734_0dcf_48baaf0a78ad --> e6b4f61e_7b98_6666_3641_26b069517d4a
  78c5ca66_f675_3ca1_fdb7_d5a994dcf4bf["langchain_core.utils.json"]
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  6e58aaea_f08e_c099_3cc7_f9567bfb1ae7["pydantic"]
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  91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"]
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  9b4ec80f_d8de_a6e0_4f16_67ba56685088["langchain_classic.chains"]
  d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 9b4ec80f_d8de_a6e0_4f16_67ba56685088
  2e4e7dd2_a233_b459_0286_08afde64f38f["langchain_classic.chains.router.base"]
  d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 2e4e7dd2_a233_b459_0286_08afde64f38f
  style d209ac07_16f4_9734_0dcf_48baaf0a78ad fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Base classes for LLM-powered router chains."""

from __future__ import annotations

from typing import Any, cast

from langchain_core._api import deprecated
from langchain_core.callbacks import (
    AsyncCallbackManagerForChainRun,
    CallbackManagerForChainRun,
)
from langchain_core.exceptions import OutputParserException
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.prompts import BasePromptTemplate
from langchain_core.utils.json import parse_and_check_json_markdown
from pydantic import model_validator
from typing_extensions import Self, override

from langchain_classic.chains import LLMChain
from langchain_classic.chains.router.base import RouterChain


@deprecated(
    since="0.2.12",
    removal="1.0",
    message=(
        "Use RunnableLambda to select from multiple prompt templates. See example "
        "in API reference: "
        "https://api.python.langchain.com/en/latest/chains/langchain.chains.router.llm_router.LLMRouterChain.html"
    ),
)
class LLMRouterChain(RouterChain):
    """A router chain that uses an LLM chain to perform routing.

    This class is deprecated. See below for a replacement, which offers several
    benefits, including streaming and batch support.

    Below is an example implementation:

        ```python
        from operator import itemgetter
        from typing import Literal
        from typing_extensions import TypedDict

        from langchain_core.output_parsers import StrOutputParser
        from langchain_core.prompts import ChatPromptTemplate
        from langchain_core.runnables import RunnableLambda, RunnablePassthrough
        from langchain_openai import ChatOpenAI

        model = ChatOpenAI(model="gpt-4o-mini")

        prompt_1 = ChatPromptTemplate.from_messages(
            [
                ("system", "You are an expert on animals."),
                ("human", "{query}"),
            ]
        )
        prompt_2 = ChatPromptTemplate.from_messages(
            [
// ... (137 more lines)

Subdomains

Dependencies

  • langchain_classic.chains
  • langchain_classic.chains.router.base
  • langchain_core._api
  • langchain_core.callbacks
  • langchain_core.exceptions
  • langchain_core.language_models
  • langchain_core.output_parsers
  • langchain_core.prompts
  • langchain_core.utils.json
  • pydantic
  • typing
  • typing_extensions

Frequently Asked Questions

What does llm_router.py do?
llm_router.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, RunnableInterface subdomain.
What does llm_router.py depend on?
llm_router.py imports 12 module(s): langchain_classic.chains, langchain_classic.chains.router.base, langchain_core._api, langchain_core.callbacks, langchain_core.exceptions, langchain_core.language_models, langchain_core.output_parsers, langchain_core.prompts, and 4 more.
Where is llm_router.py in the architecture?
llm_router.py is located at libs/langchain/langchain_classic/chains/router/llm_router.py (domain: CoreAbstractions, subdomain: RunnableInterface, directory: libs/langchain/langchain_classic/chains/router).

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