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Layerup 安全

Layerup Security 集成允许您保护对任何 LangChain LLM、LLM 链或 LLM 代理的调用。LLM 对象包裹在任何现有的 LLM 对象周围,从而在您的用户和您的 LLM 之间提供一个安全层。

虽然Layerup Security对象被设计为一个LLM,但它本身实际上并不是一个LLM,它只是包装了一个LLM,使其能够适应与底层LLM相同的功能。

设置

首先,您需要从Layerup 网站获取一个Layerup Security账户。

接下来,通过仪表板创建一个项目,并复制您的API密钥。我们建议将您的API密钥放在项目的环境中。

安装Layerup安全SDK:

pip install LayerupSecurity

并安装LangChain社区:

pip install langchain-community

现在你已经准备好开始使用Layerup Security保护你的LLM调用了!

from langchain_community.llms.layerup_security import LayerupSecurity
from langchain_openai import OpenAI

# Create an instance of your favorite LLM
openai = OpenAI(
model_name="gpt-3.5-turbo",
openai_api_key="OPENAI_API_KEY",
)

# Configure Layerup Security
layerup_security = LayerupSecurity(
# Specify a LLM that Layerup Security will wrap around
llm=openai,

# Layerup API key, from the Layerup dashboard
layerup_api_key="LAYERUP_API_KEY",

# Custom base URL, if self hosting
layerup_api_base_url="https://api.uselayerup.com/v1",

# List of guardrails to run on prompts before the LLM is invoked
prompt_guardrails=[],

# List of guardrails to run on responses from the LLM
response_guardrails=["layerup.hallucination"],

# Whether or not to mask the prompt for PII & sensitive data before it is sent to the LLM
mask=False,

# Metadata for abuse tracking, customer tracking, and scope tracking.
metadata={"customer": "example@uselayerup.com"},

# Handler for guardrail violations on the prompt guardrails
handle_prompt_guardrail_violation=(
lambda violation: {
"role": "assistant",
"content": (
"There was sensitive data! I cannot respond. "
"Here's a dynamic canned response. Current date: {}"
).format(datetime.now())
}
if violation["offending_guardrail"] == "layerup.sensitive_data"
else None
),

# Handler for guardrail violations on the response guardrails
handle_response_guardrail_violation=(
lambda violation: {
"role": "assistant",
"content": (
"Custom canned response with dynamic data! "
"The violation rule was {}."
).format(violation["offending_guardrail"])
}
),
)

response = layerup_security.invoke(
"Summarize this message: my name is Bob Dylan. My SSN is 123-45-6789."
)
API Reference:LayerupSecurity | OpenAI

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