Source code for langchain_community.llms.layerup_security
import logging
from typing import Any, Callable, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from pydantic import model_validator
logger = logging.getLogger(__name__)
[docs]
def default_guardrail_violation_handler(violation: dict) -> str:
"""Default guardrail violation handler.
Args:
violation (dict): The violation dictionary.
Returns:
str: The canned response.
"""
if violation.get("canned_response"):
return violation["canned_response"]
guardrail_name = (
f"Guardrail {violation.get('offending_guardrail')}"
if violation.get("offending_guardrail")
else "A guardrail"
)
raise ValueError(
f"{guardrail_name} was violated without a proper guardrail violation handler."
)
[docs]
class LayerupSecurity(LLM):
"""Layerup Security LLM service."""
llm: LLM
layerup_api_key: str
layerup_api_base_url: str = "https://api.uselayerup.com/v1"
prompt_guardrails: Optional[List[str]] = []
response_guardrails: Optional[List[str]] = []
mask: bool = False
metadata: Optional[Dict[str, Any]] = {}
handle_prompt_guardrail_violation: Callable[[dict], str] = (
default_guardrail_violation_handler
)
handle_response_guardrail_violation: Callable[[dict], str] = (
default_guardrail_violation_handler
)
client: Any #: :meta private:
@model_validator(mode="before")
@classmethod
def validate_layerup_sdk(cls, values: Dict[str, Any]) -> Any:
try:
from layerup_security import LayerupSecurity as LayerupSecuritySDK
values["client"] = LayerupSecuritySDK(
api_key=values["layerup_api_key"],
base_url=values["layerup_api_base_url"],
)
except ImportError:
raise ImportError(
"Could not import LayerupSecurity SDK. "
"Please install it with `pip install LayerupSecurity`."
)
return values
@property
def _llm_type(self) -> str:
return "layerup_security"
def _call(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> str:
messages = [{"role": "user", "content": prompt}]
unmask_response = None
if self.mask:
messages, unmask_response = self.client.mask_prompt(messages, self.metadata)
if self.prompt_guardrails:
security_response = self.client.execute_guardrails(
self.prompt_guardrails, messages, prompt, self.metadata
)
if not security_response["all_safe"]:
return self.handle_prompt_guardrail_violation(security_response)
result = self.llm._call(
messages[0]["content"], run_manager=run_manager, **kwargs
)
if self.mask and unmask_response:
result = unmask_response(result)
messages.append({"role": "assistant", "content": result})
if self.response_guardrails:
security_response = self.client.execute_guardrails(
self.response_guardrails, messages, result, self.metadata
)
if not security_response["all_safe"]:
return self.handle_response_guardrail_violation(security_response)
return result