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"] d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3 b19a8b7e_fbee_95b1_65b8_509a1ed3cad7["langchain_core._api"] d209ac07_16f4_9734_0dcf_48baaf0a78ad --> b19a8b7e_fbee_95b1_65b8_509a1ed3cad7 f3bc7443_c889_119d_0744_aacc3620d8d2["langchain_core.callbacks"] d209ac07_16f4_9734_0dcf_48baaf0a78ad --> f3bc7443_c889_119d_0744_aacc3620d8d2 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"] d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 78c5ca66_f675_3ca1_fdb7_d5a994dcf4bf 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7["pydantic"] d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7 91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"] d209ac07_16f4_9734_0dcf_48baaf0a78ad --> 91721f45_4909_e489_8c1f_084f8bd87145 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)
Domain
Subdomains
Classes
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
Source
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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