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multiple: pydantic 2 compatibility, v0.3 (#26443)

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Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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33
libs/community/langchain_community/chains/graph_qa/arangodb.py
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@@ -10,7 +10,7 @@ from langchain.chains.llm import LLMChain
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_core.pydantic_v1 import Field
from pydantic import Field
from langchain_community.chains.graph_qa.prompts import (
AQL_FIX_PROMPT,
@@ -57,6 +57,37 @@ class ArangoGraphQAChain(Chain):
# Specify the maximum amount of AQL Generation attempts that should be made
max_aql_generation_attempts: int = 3
allow_dangerous_requests: bool = False
"""Forced user opt-in to acknowledge that the chain can make dangerous requests.
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the chain."""
super().__init__(**kwargs)
if self.allow_dangerous_requests is not True:
raise ValueError(
"In order to use this chain, you must acknowledge that it can make "
"dangerous requests by setting `allow_dangerous_requests` to `True`."
"You must narrowly scope the permissions of the database connection "
"to only include necessary permissions. Failure to do so may result "
"in data corruption or loss or reading sensitive data if such data is "
"present in the database."
"Only use this chain if you understand the risks and have taken the "
"necessary precautions. "
"See https://python.langchain.com/docs/security for more information."
)
@property
def input_keys(self) -> List[str]:
return [self.input_key]