fix aporia typo

docs/my-website/docs/proxy/enterprise.md

@@ -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)
 :::
 
 

docs/my-website/docs/tutorials/litellm_proxy_aporia.md

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

enterprise/enterprise_hooks/aporio_ai.py

@@ -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.aporia_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_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,
                     },
                 )
 

litellm/proxy/common_utils/callback_utils.py

@@ -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":
+            elif isinstance(callback, str) and callback == "aporia_prompt_injection":
-                from enterprise.enterprise_hooks.aporio_ai import _ENTERPRISE_Aporio
+                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()
+                aporia_guardrail_object = _ENTERPRISE_Aporia()
-                imported_list.append(aporio_guardrail_object)
+                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,

litellm/proxy/guardrails/init_guardrails.py

@@ -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 (
+            from litellm.proxy.enterprise.enterprise_hooks.aporia_ai import (
-                _ENTERPRISE_Aporio,
+                _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"],