test(guardrails): run bedrock assistant filter in CI

tests/test_litellm/llms/bedrock/passthrough/guardrail_translation/test_handler.py

@@ -0,0 +1,44 @@
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from litellm.llms.bedrock.passthrough.guardrail_translation.handler import (
+    BedrockPassthroughGuardrailHandler,
+)
+
+
+@pytest.mark.asyncio
+async def test_skip_assistant_preserves_converse_history_and_masks_user() -> None:
+    assistant = {
+        "role": "assistant",
+        "content": [
+            {"text": "old reply"},
+            {
+                "toolUse": {
+                    "toolUseId": "t1",
+                    "name": "search",
+                    "input": {"q": "old"},
+                }
+            },
+        ],
+    }
+    data = {
+        "endpoint": "model/test/converse",
+        "data": {
+            "messages": [
+                assistant,
+                {"role": "user", "content": [{"text": "private"}]},
+            ]
+        },
+    }
+    guardrail = MagicMock()
+    guardrail.apply_guardrail = AsyncMock(return_value={"texts": ["[MASKED]"]})
+    guardrail.skip_system_message_in_guardrail = False
+    guardrail.skip_tool_message_in_guardrail = False
+    guardrail.skip_assistant_message_in_guardrail = True
+
+    await BedrockPassthroughGuardrailHandler().process_input_messages(data, guardrail)
+
+    assert guardrail.apply_guardrail.call_args.kwargs["inputs"]["texts"] == ["private"]
+    assert data["data"]["messages"][0] == assistant
+    assert data["data"]["messages"][1]["content"][0]["text"] == "[MASKED]"

tests/unit/llms/bedrock/passthrough/guardrail_translation/test_handler.py

@@ -10,7 +10,6 @@ Validates that:
 """
 
 import copy
-from typing import Final
 import pytest
 from unittest.mock import AsyncMock, MagicMock
 
@@ -36,27 +35,6 @@ def _make_guardrail(apply_result: dict) -> MagicMock:
     return g
 
 
-@pytest.mark.asyncio
-async def test_skip_assistant_preserves_converse_history_and_masks_user() -> None:
-    assistant: Final = {
-        "role": "assistant",
-        "content": [{"text": "old reply"}, {"toolUse": {"toolUseId": "t1", "name": "search", "input": {"q": "old"}}}],
-    }
-    data: Final = {
-        "endpoint": "model/test/converse",
-        "data": {"messages": [assistant, {"role": "user", "content": [{"text": "private"}]}]},
-    }
-    original_assistant: Final = copy.deepcopy(assistant)
-    guardrail: Final = _make_guardrail({"texts": ["[MASKED]"]})
-    guardrail.skip_assistant_message_in_guardrail = True
-
-    await BedrockPassthroughGuardrailHandler().process_input_messages(data, guardrail)
-
-    assert guardrail.apply_guardrail.call_args.kwargs["inputs"]["texts"] == ["private"]
-    assert data["data"]["messages"][0] == original_assistant
-    assert data["data"]["messages"][1]["content"][0]["text"] == "[MASKED]"
-
-
 def _converse_data(endpoint: str = "model/anthropic.claude-3-sonnet/converse") -> dict:
     return {
         "endpoint": endpoint,