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fix aporia typo

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This commit is contained in:
Ishaan Jaff 2024-08-19 18:34:45 -07:00
parent e7fa2cf0aa
commit ca9c81470b
5 changed files with 24 additions and 24 deletions
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14
docs/my-website/docs/proxy/enterprise.md
View file

@ -36,7 +36,7 @@ Features:
- **Guardrails, PII Masking, Content Moderation**
- ✅ [Content Moderation with LLM Guard, LlamaGuard, Secret Detection, Google Text Moderations](#content-moderation)
- ✅ [Prompt Injection Detection (with LakeraAI API)](#prompt-injection-detection---lakeraai)
- ✅ [Prompt Injection Detection (with Aporio API)](#prompt-injection-detection---aporio-ai)
- ✅ [Prompt Injection Detection (with Aporia API)](#prompt-injection-detection---aporia-ai)
- ✅ [Switch LakeraAI on / off per request](guardrails#control-guardrails-onoff-per-request)
- ✅ Reject calls from Blocked User list
- ✅ Reject calls (incoming / outgoing) with Banned Keywords (e.g. competitors)
@ -1035,9 +1035,9 @@ curl --location 'http://localhost:4000/chat/completions' \
Need to control LakeraAI per Request ? Doc here 👉: [Switch LakerAI on / off per request](prompt_injection.md#✨-enterprise-switch-lakeraai-on--off-per-api-call)
:::
## Prompt Injection Detection - Aporio AI
## Prompt Injection Detection - Aporia AI
Use this if you want to reject /chat/completion calls that have prompt injection attacks with [AporioAI](https://www.aporia.com/)
Use this if you want to reject /chat/completion calls that have prompt injection attacks with [AporiaAI](https://www.aporia.com/)
#### Usage
@ -1048,11 +1048,11 @@ APORIO_API_KEY="eyJh****"
APORIO_API_BASE="https://gr..."
```
Step 2. Add `aporio_prompt_injection` to your callbacks
Step 2. Add `aporia_prompt_injection` to your callbacks
```yaml
litellm_settings:
callbacks: ["aporio_prompt_injection"]
callbacks: ["aporia_prompt_injection"]
```
That's it, start your proxy
@ -1081,7 +1081,7 @@ curl --location 'http://localhost:4000/chat/completions' \
"error": {
"message": {
"error": "Violated guardrail policy",
"aporio_ai_response": {
"aporia_ai_response": {
"action": "block",
"revised_prompt": null,
"revised_response": "Profanity detected: Message blocked because it includes profanity. Please rephrase.",
@ -1097,7 +1097,7 @@ curl --location 'http://localhost:4000/chat/completions' \
:::info
Need to control AporioAI per Request ? Doc here 👉: [Create a guardrail](./guardrails.md)
Need to control AporiaAI per Request ? Doc here 👉: [Create a guardrail](./guardrails.md)
:::

2
docs/my-website/docs/tutorials/litellm_proxy_aporia.md
View file

@ -90,7 +90,7 @@ curl -i http://localhost:4000/v1/chat/completions \
}'
```
Expect response on failure
Expected response on failure
```shell
{

16
enterprise/enterprise_hooks/aporio_ai.py
View file

@ -1,6 +1,6 @@
# +-------------------------------------------------------------+
#
# Use AporioAI for your LLM calls
# Use AporiaAI for your LLM calls
#
# +-------------------------------------------------------------+
# Thank you users! We ❤️ you! - Krrish & Ishaan
@ -33,18 +33,18 @@ from litellm.types.guardrails import GuardrailEventHooks
litellm.set_verbose = True
GUARDRAIL_NAME = "aporio"
GUARDRAIL_NAME = "aporia"
class _ENTERPRISE_Aporio(CustomGuardrail):
class _ENTERPRISE_Aporia(CustomGuardrail):
def __init__(
self, api_key: Optional[str] = None, api_base: Optional[str] = None, **kwargs
):
self.async_handler = AsyncHTTPHandler(
timeout=httpx.Timeout(timeout=600.0, connect=5.0)
)
self.aporio_api_key = api_key or os.environ["APORIO_API_KEY"]
self.aporio_api_base = api_base or os.environ["APORIO_API_BASE"]
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)
@ -114,10 +114,10 @@ class _ENTERPRISE_Aporio(CustomGuardrail):
"""
response = await self.async_handler.post(
url=self.aporio_api_base + "/validate",
url=self.aporia_api_base + "/validate",
data=_json_data,
headers={
"X-APORIA-API-KEY": self.aporio_api_key,
"X-APORIA-API-KEY": self.aporia_api_key,
"Content-Type": "application/json",
},
)
@ -133,7 +133,7 @@ class _ENTERPRISE_Aporio(CustomGuardrail):
status_code=400,
detail={
"error": "Violated guardrail policy",
"aporio_ai_response": _json_response,
"aporia_ai_response": _json_response,
},
)

10
litellm/proxy/common_utils/callback_utils.py
View file

@ -118,17 +118,17 @@ def initialize_callbacks_on_proxy(
**init_params
)
imported_list.append(lakera_moderations_object)
elif isinstance(callback, str) and callback == "aporio_prompt_injection":
from enterprise.enterprise_hooks.aporio_ai import _ENTERPRISE_Aporio
elif isinstance(callback, str) and callback == "aporia_prompt_injection":
from enterprise.enterprise_hooks.aporia_ai import _ENTERPRISE_Aporia
if premium_user is not True:
raise Exception(
"Trying to use Aporio AI Guardrail"
"Trying to use Aporia AI Guardrail"
+ CommonProxyErrors.not_premium_user.value
)
aporio_guardrail_object = _ENTERPRISE_Aporio()
imported_list.append(aporio_guardrail_object)
aporia_guardrail_object = _ENTERPRISE_Aporia()
imported_list.append(aporia_guardrail_object)
elif isinstance(callback, str) and callback == "google_text_moderation":
from enterprise.enterprise_hooks.google_text_moderation import (
_ENTERPRISE_GoogleTextModeration,

6
litellm/proxy/guardrails/init_guardrails.py
View file

@ -113,11 +113,11 @@ def init_guardrails_v2(all_guardrails: dict):
# Init guardrail CustomLoggerClass
if litellm_params["guardrail"] == "aporia":
from litellm.proxy.enterprise.enterprise_hooks.aporio_ai import (
_ENTERPRISE_Aporio,
from litellm.proxy.enterprise.enterprise_hooks.aporia_ai import (
_ENTERPRISE_Aporia,
)
_aporia_callback = _ENTERPRISE_Aporio(
_aporia_callback = _ENTERPRISE_Aporia(
api_base=litellm_params["api_base"],
api_key=litellm_params["api_key"],
guardrail_name=guardrail["guardrail_name"],