forked from phoenix/litellm-mirror
243 lines
7.6 KiB
Python
243 lines
7.6 KiB
Python
import pytest
|
|
import asyncio
|
|
import aiohttp, openai
|
|
from openai import OpenAI, AsyncOpenAI
|
|
from typing import Optional, List, Union
|
|
import uuid
|
|
|
|
|
|
async def chat_completion(
|
|
session,
|
|
key,
|
|
messages,
|
|
model: Union[str, List] = "gpt-4",
|
|
guardrails: Optional[List] = None,
|
|
):
|
|
url = "http://0.0.0.0:4000/chat/completions"
|
|
headers = {
|
|
"Authorization": f"Bearer {key}",
|
|
"Content-Type": "application/json",
|
|
}
|
|
|
|
data = {
|
|
"model": model,
|
|
"messages": messages,
|
|
}
|
|
|
|
if guardrails is not None:
|
|
data["guardrails"] = guardrails
|
|
|
|
print("data=", data)
|
|
|
|
async with session.post(url, headers=headers, json=data) as response:
|
|
status = response.status
|
|
response_text = await response.text()
|
|
|
|
print(response_text)
|
|
print()
|
|
|
|
if status != 200:
|
|
raise Exception(response_text)
|
|
|
|
# response headers
|
|
response_headers = response.headers
|
|
print("response headers=", response_headers)
|
|
|
|
return await response.json(), response_headers
|
|
|
|
|
|
async def generate_key(session, guardrails):
|
|
url = "http://0.0.0.0:4000/key/generate"
|
|
headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
|
|
if guardrails:
|
|
data = {
|
|
"guardrails": guardrails,
|
|
}
|
|
else:
|
|
data = {}
|
|
|
|
async with session.post(url, headers=headers, json=data) as response:
|
|
status = response.status
|
|
response_text = await response.text()
|
|
|
|
print(response_text)
|
|
print()
|
|
|
|
if status != 200:
|
|
raise Exception(f"Request did not return a 200 status code: {status}")
|
|
|
|
return await response.json()
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.skip(reason="Aporia account disabled")
|
|
async def test_llm_guard_triggered_safe_request():
|
|
"""
|
|
- Tests a request where no content mod is triggered
|
|
- Assert that the guardrails applied are returned in the response headers
|
|
"""
|
|
async with aiohttp.ClientSession() as session:
|
|
response, headers = await chat_completion(
|
|
session,
|
|
"sk-1234",
|
|
model="fake-openai-endpoint",
|
|
messages=[{"role": "user", "content": f"Hello what's the weather"}],
|
|
guardrails=[
|
|
"aporia-post-guard",
|
|
"aporia-pre-guard",
|
|
],
|
|
)
|
|
await asyncio.sleep(3)
|
|
|
|
print("response=", response, "response headers", headers)
|
|
|
|
assert "x-litellm-applied-guardrails" in headers
|
|
|
|
assert (
|
|
headers["x-litellm-applied-guardrails"]
|
|
== "aporia-pre-guard,aporia-post-guard"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.skip(reason="Aporia account disabled")
|
|
async def test_llm_guard_triggered():
|
|
"""
|
|
- Tests a request where no content mod is triggered
|
|
- Assert that the guardrails applied are returned in the response headers
|
|
"""
|
|
async with aiohttp.ClientSession() as session:
|
|
try:
|
|
response, headers = await chat_completion(
|
|
session,
|
|
"sk-1234",
|
|
model="fake-openai-endpoint",
|
|
messages=[
|
|
{"role": "user", "content": f"Hello my name is ishaan@berri.ai"}
|
|
],
|
|
guardrails=[
|
|
"aporia-post-guard",
|
|
"aporia-pre-guard",
|
|
],
|
|
)
|
|
pytest.fail("Should have thrown an exception")
|
|
except Exception as e:
|
|
print(e)
|
|
assert "Aporia detected and blocked PII" in str(e)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_no_llm_guard_triggered():
|
|
"""
|
|
- Tests a request where no content mod is triggered
|
|
- Assert that the guardrails applied are returned in the response headers
|
|
"""
|
|
async with aiohttp.ClientSession() as session:
|
|
response, headers = await chat_completion(
|
|
session,
|
|
"sk-1234",
|
|
model="fake-openai-endpoint",
|
|
messages=[{"role": "user", "content": f"Hello what's the weather"}],
|
|
guardrails=[],
|
|
)
|
|
await asyncio.sleep(3)
|
|
|
|
print("response=", response, "response headers", headers)
|
|
|
|
assert "x-litellm-applied-guardrails" not in headers
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.skip(reason="Aporia account disabled")
|
|
async def test_guardrails_with_api_key_controls():
|
|
"""
|
|
- Make two API Keys
|
|
- Key 1 with no guardrails
|
|
- Key 2 with guardrails
|
|
- Request to Key 1 -> should be success with no guardrails
|
|
- Request to Key 2 -> should be error since guardrails are triggered
|
|
"""
|
|
async with aiohttp.ClientSession() as session:
|
|
key_with_guardrails = await generate_key(
|
|
session=session,
|
|
guardrails=[
|
|
"aporia-post-guard",
|
|
"aporia-pre-guard",
|
|
],
|
|
)
|
|
|
|
key_with_guardrails = key_with_guardrails["key"]
|
|
|
|
key_without_guardrails = await generate_key(session=session, guardrails=None)
|
|
|
|
key_without_guardrails = key_without_guardrails["key"]
|
|
|
|
# test no guardrails triggered for key without guardrails
|
|
response, headers = await chat_completion(
|
|
session,
|
|
key_without_guardrails,
|
|
model="fake-openai-endpoint",
|
|
messages=[{"role": "user", "content": f"Hello what's the weather"}],
|
|
)
|
|
await asyncio.sleep(3)
|
|
|
|
print("response=", response, "response headers", headers)
|
|
assert "x-litellm-applied-guardrails" not in headers
|
|
|
|
# test guardrails triggered for key with guardrails
|
|
try:
|
|
response, headers = await chat_completion(
|
|
session,
|
|
key_with_guardrails,
|
|
model="fake-openai-endpoint",
|
|
messages=[
|
|
{"role": "user", "content": f"Hello my name is ishaan@berri.ai"}
|
|
],
|
|
)
|
|
pytest.fail("Should have thrown an exception")
|
|
except Exception as e:
|
|
print(e)
|
|
assert "Aporia detected and blocked PII" in str(e)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_bedrock_guardrail_triggered():
|
|
"""
|
|
- Tests a request where our bedrock guardrail should be triggered
|
|
- Assert that the guardrails applied are returned in the response headers
|
|
"""
|
|
async with aiohttp.ClientSession() as session:
|
|
try:
|
|
response, headers = await chat_completion(
|
|
session,
|
|
"sk-1234",
|
|
model="fake-openai-endpoint",
|
|
messages=[{"role": "user", "content": "Hello do you like coffee?"}],
|
|
guardrails=["bedrock-pre-guard"],
|
|
)
|
|
pytest.fail("Should have thrown an exception")
|
|
except Exception as e:
|
|
print(e)
|
|
assert "GUARDRAIL_INTERVENED" in str(e)
|
|
assert "Violated guardrail policy" in str(e)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_custom_guardrail_during_call_triggered():
|
|
"""
|
|
- Tests a request where our bedrock guardrail should be triggered
|
|
- Assert that the guardrails applied are returned in the response headers
|
|
"""
|
|
async with aiohttp.ClientSession() as session:
|
|
try:
|
|
response, headers = await chat_completion(
|
|
session,
|
|
"sk-1234",
|
|
model="fake-openai-endpoint",
|
|
messages=[{"role": "user", "content": f"Hello do you like litellm?"}],
|
|
guardrails=["custom-during-guard"],
|
|
)
|
|
pytest.fail("Should have thrown an exception")
|
|
except Exception as e:
|
|
print(e)
|
|
assert "Guardrail failed words - `litellm` detected" in str(e)
|