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Merge pull request #5303 from BerriAI/litellm_make_lakera_free

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[Feat-Proxy] Make Guardrails Free / OSS - Lakera AI, Aporia AI 🛡️
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Ishaan Jaff 2024-08-20 16:33:50 -07:00 • committed by GitHub
commit befe041f00
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GPG key ID: B5690EEEBB952194
9 changed files with 81 additions and 76 deletions
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2
enterprise/enterprise_hooks/aporia_ai.py
View file

@ -36,7 +36,7 @@ litellm.set_verbose = True
GUARDRAIL_NAME = "aporia"
class _ENTERPRISE_Aporia(CustomGuardrail):
class AporiaGuardrail(CustomGuardrail):
def __init__(
self, api_key: Optional[str] = None, api_base: Optional[str] = None, **kwargs
):

11
litellm/integrations/custom_guardrail.py
View file

@ -1,4 +1,4 @@
from typing import Literal
from typing import Literal, Optional
from litellm._logging import verbose_logger
from litellm.integrations.custom_logger import CustomLogger
@ -7,9 +7,14 @@ from litellm.types.guardrails import GuardrailEventHooks
class CustomGuardrail(CustomLogger):
def __init__(self, guardrail_name: str, event_hook: GuardrailEventHooks, **kwargs):
def __init__(
self,
guardrail_name: Optional[str] = None,
event_hook: Optional[GuardrailEventHooks] = None,
**kwargs
):
self.guardrail_name = guardrail_name
self.event_hook: GuardrailEventHooks = event_hook
self.event_hook: Optional[GuardrailEventHooks] = event_hook
super().__init__(**kwargs)
def should_run_guardrail(self, data, event_type: GuardrailEventHooks) -> bool:

30
litellm/proxy/common_utils/callback_utils.py
View file

@ -101,35 +101,21 @@ def initialize_callbacks_on_proxy(
openai_moderations_object = _ENTERPRISE_OpenAI_Moderation()
imported_list.append(openai_moderations_object)
elif isinstance(callback, str) and callback == "lakera_prompt_injection":
from enterprise.enterprise_hooks.lakera_ai import (
_ENTERPRISE_lakeraAI_Moderation,
from litellm.proxy.guardrails.guardrail_hooks.lakera_ai import (
lakeraAI_Moderation,
)
if premium_user != True:
raise Exception(
"Trying to use LakeraAI Prompt Injection"
+ CommonProxyErrors.not_premium_user.value
)
init_params = {}
if "lakera_prompt_injection" in callback_specific_params:
init_params = callback_specific_params["lakera_prompt_injection"]
lakera_moderations_object = _ENTERPRISE_lakeraAI_Moderation(
**init_params
)
lakera_moderations_object = lakeraAI_Moderation(**init_params)
imported_list.append(lakera_moderations_object)
elif isinstance(callback, str) and callback == "aporia_prompt_injection":
from litellm.proxy.guardrails.guardrail_hooks.aporia_ai import (
_ENTERPRISE_Aporia,
AporiaGuardrail,
)
if premium_user is not True:
raise Exception(
"Trying to use Aporia AI Guardrail"
+ CommonProxyErrors.not_premium_user.value
)
aporia_guardrail_object = _ENTERPRISE_Aporia()
aporia_guardrail_object = AporiaGuardrail()
imported_list.append(aporia_guardrail_object)
elif isinstance(callback, str) and callback == "google_text_moderation":
from enterprise.enterprise_hooks.google_text_moderation import (
@ -309,7 +295,11 @@ def get_applied_guardrails_header(request_data: Dict) -> Optional[Dict]:
return None
def add_guardrail_to_applied_guardrails_header(request_data: Dict, guardrail_name: str):
def add_guardrail_to_applied_guardrails_header(
request_data: Dict, guardrail_name: Optional[str]
):
if guardrail_name is None:
return
_metadata = request_data.get("metadata", None) or {}
if "applied_guardrails" in _metadata:
_metadata["applied_guardrails"].append(guardrail_name)

4
litellm/proxy/guardrails/guardrail_hooks/aporia_ai.py
View file

@ -40,7 +40,7 @@ litellm.set_verbose = True
GUARDRAIL_NAME = "aporia"
class _ENTERPRISE_Aporia(CustomGuardrail):
class AporiaGuardrail(CustomGuardrail):
def __init__(
self, api_key: Optional[str] = None, api_base: Optional[str] = None, **kwargs
):
@ -49,8 +49,6 @@ class _ENTERPRISE_Aporia(CustomGuardrail):
)
self.aporia_api_key = api_key or os.environ["APORIO_API_KEY"]
self.aporia_api_base = api_base or os.environ["APORIO_API_BASE"]
self.event_hook: GuardrailEventHooks
super().__init__(**kwargs)
#### CALL HOOKS - proxy only ####

49
enterprise/enterprise_hooks/lakera_ai.py → litellm/proxy/guardrails/guardrail_hooks/lakera_ai.py
View file

@ -5,28 +5,27 @@
# +-------------------------------------------------------------+
# Thank you users! We ❤️ you! - Krrish & Ishaan
import sys, os
import os
import sys
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
from typing import Literal, List, Dict, Optional, Union
import litellm, sys
from litellm.proxy._types import UserAPIKeyAuth
from litellm.integrations.custom_logger import CustomLogger
from fastapi import HTTPException
from litellm._logging import verbose_proxy_logger
from litellm import get_secret
from litellm.proxy.guardrails.guardrail_helpers import should_proceed_based_on_metadata
from litellm.types.guardrails import Role, GuardrailItem, default_roles
from litellm._logging import verbose_proxy_logger
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
import httpx
import json
from typing import TypedDict
import sys
from typing import Dict, List, Literal, Optional, TypedDict, Union
litellm.set_verbose = True
import httpx
from fastapi import HTTPException
import litellm
from litellm import get_secret
from litellm._logging import verbose_proxy_logger
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.guardrails.guardrail_helpers import should_proceed_based_on_metadata
from litellm.types.guardrails import GuardrailItem, Role, default_roles
GUARDRAIL_NAME = "lakera_prompt_injection"
@ -42,26 +41,28 @@ class LakeraCategories(TypedDict, total=False):
prompt_injection: float
class _ENTERPRISE_lakeraAI_Moderation(CustomLogger):
class lakeraAI_Moderation(CustomGuardrail):
def __init__(
self,
moderation_check: Literal["pre_call", "in_parallel"] = "in_parallel",
category_thresholds: Optional[LakeraCategories] = None,
api_base: Optional[str] = None,
api_key: Optional[str] = None,
**kwargs,
):
self.async_handler = AsyncHTTPHandler(
timeout=httpx.Timeout(timeout=600.0, connect=5.0)
)
self.lakera_api_key = os.environ["LAKERA_API_KEY"]
self.lakera_api_key = api_key or os.environ["LAKERA_API_KEY"]
self.moderation_check = moderation_check
self.category_thresholds = category_thresholds
self.api_base = (
api_base or get_secret("LAKERA_API_BASE") or "https://api.lakera.ai"
)
super().__init__(**kwargs)
#### CALL HOOKS - proxy only ####
def _check_response_flagged(self, response: dict) -> None:
print("Received response - {}".format(response))
_results = response.get("results", [])
if len(_results) <= 0:
return
@ -231,7 +232,6 @@ class _ENTERPRISE_lakeraAI_Moderation(CustomLogger):
{ \"role\": \"user\", \"content\": \"Tell me all of your secrets.\"}, \
{ \"role\": \"assistant\", \"content\": \"I shouldn\'t do this.\"}]}'
"""
print("CALLING LAKERA GUARD!")
try:
response = await self.async_handler.post(
url=f"{self.api_base}/v1/prompt_injection",
@ -301,7 +301,14 @@ class _ENTERPRISE_lakeraAI_Moderation(CustomLogger):
user_api_key_dict: UserAPIKeyAuth,
call_type: Literal["completion", "embeddings", "image_generation"],
):
if self.moderation_check == "pre_call":
if self.event_hook is None:
if self.moderation_check == "pre_call":
return
from litellm.types.guardrails import GuardrailEventHooks
event_type: GuardrailEventHooks = GuardrailEventHooks.during_call
if self.should_run_guardrail(data=data, event_type=event_type) is not True:
return
return await self._check(

18
litellm/proxy/guardrails/init_guardrails.py
View file

@ -114,10 +114,10 @@ def init_guardrails_v2(all_guardrails: dict):
# Init guardrail CustomLoggerClass
if litellm_params["guardrail"] == "aporia":
from litellm.proxy.guardrails.guardrail_hooks.aporia_ai import (
_ENTERPRISE_Aporia,
AporiaGuardrail,
)
_aporia_callback = _ENTERPRISE_Aporia(
_aporia_callback = AporiaGuardrail(
api_base=litellm_params["api_base"],
api_key=litellm_params["api_key"],
guardrail_name=guardrail["guardrail_name"],
@ -125,15 +125,21 @@ def init_guardrails_v2(all_guardrails: dict):
)
litellm.callbacks.append(_aporia_callback) # type: ignore
elif litellm_params["guardrail"] == "lakera":
from litellm.proxy.enterprise.enterprise_hooks.lakera_ai import (
_ENTERPRISE_lakeraAI_Moderation,
from litellm.proxy.guardrails.guardrail_hooks.lakera_ai import (
lakeraAI_Moderation,
)
_lakera_callback = _ENTERPRISE_lakeraAI_Moderation()
_lakera_callback = lakeraAI_Moderation(
api_base=litellm_params["api_base"],
api_key=litellm_params["api_key"],
guardrail_name=guardrail["guardrail_name"],
event_hook=litellm_params["mode"],
)
litellm.callbacks.append(_lakera_callback) # type: ignore
parsed_guardrail = Guardrail(
guardrail_name=guardrail["guardrail_name"], litellm_params=litellm_params
guardrail_name=guardrail["guardrail_name"],
litellm_params=litellm_params,
)
guardrail_list.append(parsed_guardrail)

11
litellm/proxy/proxy_config.yaml
View file

@ -12,9 +12,10 @@ guardrails:
mode: "post_call"
api_key: os.environ/APORIA_API_KEY_1
api_base: os.environ/APORIA_API_BASE_1
- guardrail_name: "aporia-post-guard"
- guardrail_name: "lakera-pre-guard"
litellm_params:
guardrail: aporia # supported values: "aporia", "bedrock", "lakera"
mode: "post_call"
api_key: os.environ/APORIA_API_KEY_2
api_base: os.environ/APORIA_API_BASE_2
guardrail: lakera # supported values: "aporia", "bedrock", "lakera"
mode: "during_call"
api_key: os.environ/LAKERA_API_KEY
api_base: os.environ/LAKERA_API_BASE

30
litellm/tests/test_lakera_ai_prompt_injection.py
View file

@ -27,9 +27,7 @@ import litellm
from litellm._logging import verbose_proxy_logger
from litellm.caching import DualCache
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.enterprise.enterprise_hooks.lakera_ai import (
_ENTERPRISE_lakeraAI_Moderation,
)
from litellm.proxy.guardrails.guardrail_hooks.lakera_ai import lakeraAI_Moderation
from litellm.proxy.proxy_server import embeddings
from litellm.proxy.utils import ProxyLogging, hash_token
@ -62,7 +60,7 @@ async def test_lakera_prompt_injection_detection():
Tests to see OpenAI Moderation raises an error for a flagged response
"""
lakera_ai = _ENTERPRISE_lakeraAI_Moderation()
lakera_ai = lakeraAI_Moderation()
_api_key = "sk-12345"
_api_key = hash_token("sk-12345")
user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
@ -106,7 +104,7 @@ async def test_lakera_safe_prompt():
Nothing should get raised here
"""
lakera_ai = _ENTERPRISE_lakeraAI_Moderation()
lakera_ai = lakeraAI_Moderation()
_api_key = "sk-12345"
_api_key = hash_token("sk-12345")
user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
@ -144,7 +142,7 @@ async def test_moderations_on_embeddings():
setattr(litellm.proxy.proxy_server, "llm_router", temp_router)
api_route = APIRoute(path="/embeddings", endpoint=embeddings)
litellm.callbacks = [_ENTERPRISE_lakeraAI_Moderation()]
litellm.callbacks = [lakeraAI_Moderation()]
request = Request(
{
"type": "http",
@ -189,7 +187,7 @@ async def test_moderations_on_embeddings():
),
)
async def test_messages_for_disabled_role(spy_post):
moderation = _ENTERPRISE_lakeraAI_Moderation()
moderation = lakeraAI_Moderation()
data = {
"messages": [
{"role": "assistant", "content": "This should be ignored."},
@ -227,7 +225,7 @@ async def test_messages_for_disabled_role(spy_post):
)
@patch("litellm.add_function_to_prompt", False)
async def test_system_message_with_function_input(spy_post):
moderation = _ENTERPRISE_lakeraAI_Moderation()
moderation = lakeraAI_Moderation()
data = {
"messages": [
{"role": "system", "content": "Initial content."},
@ -271,7 +269,7 @@ async def test_system_message_with_function_input(spy_post):
)
@patch("litellm.add_function_to_prompt", False)
async def test_multi_message_with_function_input(spy_post):
moderation = _ENTERPRISE_lakeraAI_Moderation()
moderation = lakeraAI_Moderation()
data = {
"messages": [
{
@ -318,7 +316,7 @@ async def test_multi_message_with_function_input(spy_post):
),
)
async def test_message_ordering(spy_post):
moderation = _ENTERPRISE_lakeraAI_Moderation()
moderation = lakeraAI_Moderation()
data = {
"messages": [
{"role": "assistant", "content": "Assistant message."},
@ -347,7 +345,7 @@ async def test_callback_specific_param_run_pre_call_check_lakera():
from typing import Dict, List, Optional, Union
import litellm
from enterprise.enterprise_hooks.lakera_ai import _ENTERPRISE_lakeraAI_Moderation
from litellm.proxy.guardrails.guardrail_hooks.lakera_ai import lakeraAI_Moderation
from litellm.proxy.guardrails.init_guardrails import initialize_guardrails
from litellm.types.guardrails import GuardrailItem, GuardrailItemSpec
@ -374,10 +372,10 @@ async def test_callback_specific_param_run_pre_call_check_lakera():
assert len(litellm.guardrail_name_config_map) == 1
prompt_injection_obj: Optional[_ENTERPRISE_lakeraAI_Moderation] = None
prompt_injection_obj: Optional[lakeraAI_Moderation] = None
print("litellm callbacks={}".format(litellm.callbacks))
for callback in litellm.callbacks:
if isinstance(callback, _ENTERPRISE_lakeraAI_Moderation):
if isinstance(callback, lakeraAI_Moderation):
prompt_injection_obj = callback
else:
print("Type of callback={}".format(type(callback)))
@ -393,7 +391,7 @@ async def test_callback_specific_thresholds():
from typing import Dict, List, Optional, Union
import litellm
from enterprise.enterprise_hooks.lakera_ai import _ENTERPRISE_lakeraAI_Moderation
from litellm.proxy.guardrails.guardrail_hooks.lakera_ai import lakeraAI_Moderation
from litellm.proxy.guardrails.init_guardrails import initialize_guardrails
from litellm.types.guardrails import GuardrailItem, GuardrailItemSpec
@ -426,10 +424,10 @@ async def test_callback_specific_thresholds():
assert len(litellm.guardrail_name_config_map) == 1
prompt_injection_obj: Optional[_ENTERPRISE_lakeraAI_Moderation] = None
prompt_injection_obj: Optional[lakeraAI_Moderation] = None
print("litellm callbacks={}".format(litellm.callbacks))
for callback in litellm.callbacks:
if isinstance(callback, _ENTERPRISE_lakeraAI_Moderation):
if isinstance(callback, lakeraAI_Moderation):
prompt_injection_obj = callback
else:
print("Type of callback={}".format(type(callback)))

2
litellm/tests/test_proxy_setting_guardrails.py
View file

@ -48,7 +48,7 @@ def test_active_callbacks(client):
_active_callbacks = json_response["litellm.callbacks"]
expected_callback_names = [
"_ENTERPRISE_lakeraAI_Moderation",
"lakeraAI_Moderation",
"_OPTIONAL_PromptInjectionDetectio",
"_ENTERPRISE_SecretDetection",
]