feat(llm_guard.py): support llm guard for content moderation

https://github.com/BerriAI/litellm/issues/2056

litellm/tests/test_llm_guard.py

@@ -0,0 +1,95 @@
+# What is this?
+## This tests the llm guard integration
+
+# What is this?
+## Unit test for presidio pii masking
+import sys, os, asyncio, time, random
+from datetime import datetime
+import traceback
+from dotenv import load_dotenv
+
+load_dotenv()
+import os
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+import pytest
+import litellm
+from litellm.proxy.enterprise.enterprise_hooks.llm_guard import _ENTERPRISE_LLMGuard
+from litellm import Router, mock_completion
+from litellm.proxy.utils import ProxyLogging
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.caching import DualCache
+
+### UNIT TESTS FOR LLM GUARD ###
+
+
+#   Test if PII masking works with input A
+@pytest.mark.asyncio
+async def test_llm_guard_valid_response():
+    """
+    Tests to see llm guard raises an error for a flagged response
+    """
+    input_a_anonymizer_results = {
+        "sanitized_prompt": "hello world",
+        "is_valid": True,
+        "scanners": {"Regex": 0.0},
+    }
+    llm_guard = _ENTERPRISE_LLMGuard(
+        mock_testing=True, mock_redacted_text=input_a_anonymizer_results
+    )
+
+    _api_key = "sk-12345"
+    user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
+    local_cache = DualCache()
+
+    try:
+        await llm_guard.async_moderation_hook(
+            data={
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": "hello world, my name is Jane Doe. My number is: 23r323r23r2wwkl",
+                    }
+                ]
+            },
+        )
+    except Exception as e:
+        pytest.fail(f"An exception occurred - {str(e)}")
+
+
+#   Test if PII masking works with input B (also test if the response != A's response)
+@pytest.mark.asyncio
+async def test_llm_guard_error_raising():
+    """
+    Tests to see llm guard raises an error for a flagged response
+    """
+
+    input_b_anonymizer_results = {
+        "sanitized_prompt": "hello world",
+        "is_valid": False,
+        "scanners": {"Regex": 0.0},
+    }
+    llm_guard = _ENTERPRISE_LLMGuard(
+        mock_testing=True, mock_redacted_text=input_b_anonymizer_results
+    )
+
+    _api_key = "sk-12345"
+    user_api_key_dict = UserAPIKeyAuth(api_key=_api_key)
+    local_cache = DualCache()
+
+    try:
+        await llm_guard.async_moderation_hook(
+            data={
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": "hello world, my name is Jane Doe. My number is: 23r323r23r2wwkl",
+                    }
+                ]
+            },
+        )
+        pytest.fail(f"Should have failed - {str(e)}")
+    except Exception as e:
+        pass