feat(guardrails): capture user and model metadata in CrowdStrike AIDR

(cherry picked from commit 6fc715c5bd)

litellm/proxy/guardrails/guardrail_hooks/crowdstrike_aidr/crowdstrike_aidr.py

@@ -312,11 +312,27 @@ class CrowdStrikeAIDRHandler(CustomGuardrail):
             event_type = "output"
             hook_name = "apply_guardrail (response)"
 
-        ai_guard_payload = {
+        ai_guard_payload: dict[str, Any] = {
             "guard_input": guard_input.model_dump(mode="json"),
             "event_type": event_type,
         }
 
+        model = inputs.get("model")
+        if model:
+            ai_guard_payload["model"] = model
+
+        metadata = request_data.get("litellm_metadata", request_data.get("metadata"))
+        if isinstance(metadata, Mapping):
+            user_id = metadata.get("user_api_key_user_id")
+            if user_id:
+                ai_guard_payload["user_id"] = user_id
+
+            extra_info: dict[str, str] = {}
+            user_email = metadata.get("user_api_key_user_email")
+            if user_email:
+                extra_info["user_name"] = user_email
+            ai_guard_payload["extra_info"] = extra_info
+
         ai_guard_response = await self._call_crowdstrike_aidr_guard(
             ai_guard_payload, hook_name
         )

tests/test_litellm/proxy/guardrails/guardrail_hooks/test_crowdstrike_aidr.py

@@ -478,3 +478,118 @@ async def test_apply_guardrail_request_skipped_messages_stay_aligned(
     assert result["texts"][1] == ""
     assert result["texts"][2] == "Here is my SSN: <US_SSN>"
     assert result["structured_messages"] == inputs["structured_messages"]
+
+
+@pytest.mark.asyncio
+async def test_apply_guardrail_sends_user_id_model_and_extra_info(
+    crowdstrike_aidr_guardrail: CrowdStrikeAIDRHandler,
+) -> None:
+    inputs: GenericGuardrailAPIInputs = {
+        "texts": ["Hello"],
+        "structured_messages": [{"role": "user", "content": "Hello"}],
+        "model": "gpt-4o",
+    }
+    request_data = {
+        "messages": inputs["structured_messages"],
+        "model": "gpt-4o",
+        "litellm_metadata": {
+            "user_api_key_user_id": "uid-abc",
+            "user_api_key_user_email": "alice@example.com",
+        },
+    }
+    guardrail_endpoint = (
+        f"{crowdstrike_aidr_guardrail.api_base}/v1/guard_chat_completions"
+    )
+
+    with patch(
+        "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post",
+        return_value=httpx.Response(
+            status_code=200,
+            json={"result": {"blocked": False, "transformed": False}},
+            request=httpx.Request(method="POST", url=guardrail_endpoint),
+        ),
+    ) as mock_method:
+        await crowdstrike_aidr_guardrail.apply_guardrail(
+            inputs=inputs,
+            request_data=request_data,
+            input_type="request",
+        )
+
+    payload = mock_method.call_args.kwargs["json"]
+    assert payload["user_id"] == "uid-abc"
+    assert payload["model"] == "gpt-4o"
+    assert payload["extra_info"] == {"user_name": "alice@example.com"}
+
+
+@pytest.mark.asyncio
+async def test_apply_guardrail_empty_extra_info_when_no_email(
+    crowdstrike_aidr_guardrail: CrowdStrikeAIDRHandler,
+) -> None:
+    inputs: GenericGuardrailAPIInputs = {
+        "texts": ["Hello"],
+        "structured_messages": [{"role": "user", "content": "Hello"}],
+        "model": "gemini-flash",
+    }
+    request_data = {
+        "messages": inputs["structured_messages"],
+        "model": "gemini-flash",
+        "litellm_metadata": {
+            "user_api_key_user_id": "uid-no-email",
+            "user_api_key_user_email": None,
+        },
+    }
+    guardrail_endpoint = (
+        f"{crowdstrike_aidr_guardrail.api_base}/v1/guard_chat_completions"
+    )
+
+    with patch(
+        "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post",
+        return_value=httpx.Response(
+            status_code=200,
+            json={"result": {"blocked": False, "transformed": False}},
+            request=httpx.Request(method="POST", url=guardrail_endpoint),
+        ),
+    ) as mock_method:
+        await crowdstrike_aidr_guardrail.apply_guardrail(
+            inputs=inputs,
+            request_data=request_data,
+            input_type="request",
+        )
+
+    payload = mock_method.call_args.kwargs["json"]
+    assert payload["user_id"] == "uid-no-email"
+    assert payload["model"] == "gemini-flash"
+    assert payload["extra_info"] == {}
+
+
+@pytest.mark.asyncio
+async def test_apply_guardrail_no_metadata_skips_user_fields(
+    crowdstrike_aidr_guardrail: CrowdStrikeAIDRHandler,
+) -> None:
+    inputs: GenericGuardrailAPIInputs = {
+        "texts": ["Hello"],
+        "structured_messages": [{"role": "user", "content": "Hello"}],
+    }
+    request_data = {"messages": inputs["structured_messages"]}
+    guardrail_endpoint = (
+        f"{crowdstrike_aidr_guardrail.api_base}/v1/guard_chat_completions"
+    )
+
+    with patch(
+        "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post",
+        return_value=httpx.Response(
+            status_code=200,
+            json={"result": {"blocked": False, "transformed": False}},
+            request=httpx.Request(method="POST", url=guardrail_endpoint),
+        ),
+    ) as mock_method:
+        await crowdstrike_aidr_guardrail.apply_guardrail(
+            inputs=inputs,
+            request_data=request_data,
+            input_type="request",
+        )
+
+    payload = mock_method.call_args.kwargs["json"]
+    assert "user_id" not in payload
+    assert "model" not in payload
+    assert "extra_info" not in payload