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langchain[patch]: Remove proxy imports to langchain_experimental (#31541)

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Remove proxy imports to langchain_experimental.

Previously, these imports would work if a user manually installed
langchain_experimental. However, we want to drop support even for that
as langchain_experimental is generally not recommended to be run in
production.

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
This commit is contained in:
Eugene Yurtsev 2025-06-09 17:09:09 -04:00 committed by GitHub
parent 16e5a12806
commit 9ce974247c
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GPG Key ID: B5690EEEBB952194
1 changed files with 22 additions and 61 deletions
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83
libs/langchain/langchain/chains/loading.py
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@ -219,33 +219,13 @@ def _load_reduce_documents_chain(config: dict, **kwargs: Any) -> ReduceDocuments
def _load_llm_bash_chain(config: dict, **kwargs: Any) -> Any:
from langchain_experimental.llm_bash.base import LLMBashChain
llm_chain = None
if "llm_chain" in config:
llm_chain_config = config.pop("llm_chain")
llm_chain = load_chain_from_config(llm_chain_config, **kwargs)
elif "llm_chain_path" in config:
llm_chain = load_chain(config.pop("llm_chain_path"), **kwargs)
# llm attribute is deprecated in favor of llm_chain, here to support old configs
elif "llm" in config:
llm_config = config.pop("llm")
llm = load_llm_from_config(llm_config, **kwargs)
# llm_path attribute is deprecated in favor of llm_chain_path,
# its to support old configs
elif "llm_path" in config:
llm = load_llm(config.pop("llm_path"), **kwargs)
else:
raise ValueError("One of `llm_chain` or `llm_chain_path` must be present.")
if "prompt" in config:
prompt_config = config.pop("prompt")
prompt = load_prompt_from_config(prompt_config)
elif "prompt_path" in config:
prompt = load_prompt(config.pop("prompt_path"))
if llm_chain:
return LLMBashChain(llm_chain=llm_chain, prompt=prompt, **config)
else:
return LLMBashChain(llm=llm, prompt=prompt, **config)
"""Load LLM Bash chain from config dict"""
raise NotImplementedError(
"LLMBash Chain is not available through LangChain anymore. "
"The relevant code can be found in langchain_experimental, "
"but it is not appropriate for production usage due to security "
"concerns. Please refer to langchain-experimental repository for more details."
)
def _load_llm_checker_chain(config: dict, **kwargs: Any) -> LLMCheckerChain:
@ -336,16 +316,12 @@ def _load_map_rerank_documents_chain(
def _load_pal_chain(config: dict, **kwargs: Any) -> Any:
from langchain_experimental.pal_chain import PALChain
if "llm_chain" in config:
llm_chain_config = config.pop("llm_chain")
llm_chain = load_chain_from_config(llm_chain_config, **kwargs)
elif "llm_chain_path" in config:
llm_chain = load_chain(config.pop("llm_chain_path"), **kwargs)
else:
raise ValueError("One of `llm_chain` or `llm_chain_path` must be present.")
return PALChain(llm_chain=llm_chain, **config)
raise NotImplementedError(
"PALChain is not available through LangChain anymore. "
"The relevant code can be found in langchain_experimental, "
"but it is not appropriate for production usage due to security "
"concerns. Please refer to langchain-experimental repository for more details."
)
def _load_refine_documents_chain(config: dict, **kwargs: Any) -> RefineDocumentsChain:
@ -399,30 +375,15 @@ def _load_qa_with_sources_chain(config: dict, **kwargs: Any) -> QAWithSourcesCha
def _load_sql_database_chain(config: dict, **kwargs: Any) -> Any:
from langchain_experimental.sql import SQLDatabaseChain
if "database" in kwargs:
database = kwargs.pop("database")
else:
raise ValueError("`database` must be present.")
if "llm_chain" in config:
llm_chain_config = config.pop("llm_chain")
chain = load_chain_from_config(llm_chain_config, **kwargs)
return SQLDatabaseChain(llm_chain=chain, database=database, **config)
if "llm" in config:
llm_config = config.pop("llm")
llm = load_llm_from_config(llm_config, **kwargs)
elif "llm_path" in config:
llm = load_llm(config.pop("llm_path"), **kwargs)
else:
raise ValueError("One of `llm` or `llm_path` must be present.")
if "prompt" in config:
prompt_config = config.pop("prompt")
prompt = load_prompt_from_config(prompt_config)
else:
prompt = None
return SQLDatabaseChain.from_llm(llm, database, prompt=prompt, **config)
"""Load SQL Database chain from config dict."""
raise NotImplementedError(
"SQLDatabaseChain is not available through LangChain anymore. "
"The relevant code can be found in langchain_experimental, "
"but it is not appropriate for production usage due to security "
"concerns. Please refer to langchain-experimental repository for more details, "
"or refer to this tutorial for best practices: "
"https://python.langchain.com/docs/tutorials/sql_qa/"
)
def _load_vector_db_qa_with_sources_chain(