refactor(types): revert anthropic chat response seam

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

litellm/llms/anthropic/chat/transformation.py

@@ -3100,7 +3100,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
 
         ## RESPONSE OBJECT
         try:
-            completion_response: Final = _COMPLETION_RESPONSE.validate_python(raw_response.json())
+            completion_response: Final = raw_response.json()
         except Exception as e:
             response_headers: Final = getattr(raw_response, "headers", None)
             raise AnthropicError(
@@ -3186,7 +3186,6 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
 
 
 _DECODED_JSON: Final = TypeAdapter(object)
-_COMPLETION_RESPONSE: Final = TypeAdapter(dict[str, object], config=ConfigDict(strict=True))
 _REQUEST_TOOLS: Final = TypeAdapter(tuple[Mapping[str, object], ...])
 
 

tests/unit/integrations/test_custom_prompt_management.py

@@ -55,22 +55,6 @@ class TestCustomPromptManagement(CustomPromptManagement):
             return model, messages, non_default_params
 
 
-def _anthropic_chat_response() -> httpx.Response:
-    return httpx.Response(
-        200,
-        json={
-            "id": "msg_123",
-            "type": "message",
-            "role": "assistant",
-            "content": [{"type": "text", "text": "Hello"}],
-            "model": "claude-3-5-sonnet",
-            "stop_reason": "end_turn",
-            "stop_sequence": None,
-            "usage": {"input_tokens": 1, "output_tokens": 1},
-        },
-    )
-
-
 @pytest.mark.asyncio
 async def test_custom_prompt_management_with_prompt_id(monkeypatch):
     custom_prompt_management = TestCustomPromptManagement()
@@ -78,7 +62,7 @@ async def test_custom_prompt_management_with_prompt_id(monkeypatch):
 
     # Mock AsyncHTTPHandler.post method
     client = AsyncHTTPHandler()
-    with patch.object(client, "post", return_value=_anthropic_chat_response()) as mock_post:
+    with patch.object(client, "post", return_value=MagicMock()) as mock_post:
         await litellm.acompletion(
             model="anthropic/claude-3-5-sonnet",
             messages=[{"role": "user", "content": "Hello, how are you?"}],
@@ -106,7 +90,7 @@ async def test_custom_prompt_management_with_prompt_id_and_prompt_variables():
 
     # Mock AsyncHTTPHandler.post method
     client = AsyncHTTPHandler()
-    with patch.object(client, "post", return_value=_anthropic_chat_response()) as mock_post:
+    with patch.object(client, "post", return_value=MagicMock()) as mock_post:
         await litellm.acompletion(
             model="anthropic/claude-3-5-sonnet",
             messages=[],
@@ -135,7 +119,7 @@ async def test_custom_prompt_management_without_prompt_id():
 
     # Mock AsyncHTTPHandler.post method
     client = AsyncHTTPHandler()
-    with patch.object(client, "post", return_value=_anthropic_chat_response()) as mock_post:
+    with patch.object(client, "post", return_value=MagicMock()) as mock_post:
         await litellm.acompletion(
             model="anthropic/claude-3-5-sonnet",
             messages=[{"role": "user", "content": "Hello, how are you?"}],

tests/unit/router_utils/test_pattern_match_deployments.py

@@ -317,23 +317,7 @@ def test_router_pattern_match_e2e():
         ]
     )
 
-    with patch.object(
-        client,
-        "post",
-        return_value=httpx.Response(
-            200,
-            json={
-                "id": "msg_123",
-                "type": "message",
-                "role": "assistant",
-                "content": [{"type": "text", "text": "Hello"}],
-                "model": "claude-3-5-sonnet",
-                "stop_reason": "end_turn",
-                "stop_sequence": None,
-                "usage": {"input_tokens": 1, "output_tokens": 1},
-            },
-        ),
-    ) as mock_post:
+    with patch.object(client, "post", new=MagicMock()) as mock_post:
 
         router.completion(
             model="llmengine/my-custom-model",