test_assistants_passthrough_logging

litellm/llms/anthropic/experimental_pass_through/messages/handler.py

@@ -43,7 +43,9 @@ class AnthropicMessagesHandler:
         from litellm.proxy.pass_through_endpoints.success_handler import (
             PassThroughEndpointLogging,
         )
-        from litellm.proxy.pass_through_endpoints.types import EndpointType
+        from litellm.types.passthrough_endpoints.pass_through_endpoints import (
+            EndpointType,
+        )
 
         # Create success handler object
         passthrough_success_handler_obj = PassThroughEndpointLogging()
@@ -98,11 +100,11 @@ async def anthropic_messages(
         api_base=optional_params.api_base,
         api_key=optional_params.api_key,
     )
-    anthropic_messages_provider_config: Optional[
+    anthropic_messages_provider_config: Optional[BaseAnthropicMessagesConfig] = (
-        BaseAnthropicMessagesConfig
+        ProviderConfigManager.get_provider_anthropic_messages_config(
-    ] = ProviderConfigManager.get_provider_anthropic_messages_config(
+            model=model,
-        model=model,
+            provider=litellm.LlmProviders(_custom_llm_provider),
-        provider=litellm.LlmProviders(_custom_llm_provider),
+        )
     )
     if anthropic_messages_provider_config is None:
         raise ValueError(

litellm/proxy/pass_through_endpoints/llm_provider_handlers/anthropic_passthrough_logging_handler.py

@@ -13,7 +13,9 @@ from litellm.llms.anthropic.chat.handler import (
 from litellm.llms.anthropic.chat.transformation import AnthropicConfig
 from litellm.proxy._types import PassThroughEndpointLoggingTypedDict
 from litellm.proxy.auth.auth_utils import get_end_user_id_from_request_body
-from litellm.proxy.pass_through_endpoints.types import PassthroughStandardLoggingPayload
+from litellm.types.passthrough_endpoints.pass_through_endpoints import (
+    PassthroughStandardLoggingPayload,
+)
 from litellm.types.utils import ModelResponse, TextCompletionResponse
 
 if TYPE_CHECKING:
@@ -122,9 +124,9 @@ class AnthropicPassthroughLoggingHandler:
             litellm_model_response.id = logging_obj.litellm_call_id
             litellm_model_response.model = model
             logging_obj.model_call_details["model"] = model
-            logging_obj.model_call_details[
+            logging_obj.model_call_details["custom_llm_provider"] = (
-                "custom_llm_provider"
+                litellm.LlmProviders.ANTHROPIC.value
-            ] = litellm.LlmProviders.ANTHROPIC.value
+            )
             return kwargs
         except Exception as e:
             verbose_proxy_logger.exception(

litellm/proxy/pass_through_endpoints/llm_provider_handlers/assembly_passthrough_logging_handler.py

@@ -14,11 +14,13 @@ from litellm.litellm_core_utils.litellm_logging import (
     get_standard_logging_object_payload,
 )
 from litellm.litellm_core_utils.thread_pool_executor import executor
-from litellm.proxy.pass_through_endpoints.types import PassthroughStandardLoggingPayload
 from litellm.types.passthrough_endpoints.assembly_ai import (
     ASSEMBLY_AI_MAX_POLLING_ATTEMPTS,
     ASSEMBLY_AI_POLLING_INTERVAL,
 )
+from litellm.types.passthrough_endpoints.pass_through_endpoints import (
+    PassthroughStandardLoggingPayload,
+)
 
 
 class AssemblyAITranscriptResponse(TypedDict, total=False):

litellm/proxy/pass_through_endpoints/llm_provider_handlers/base_passthrough_logging_handler.py

@@ -13,7 +13,9 @@ from litellm.litellm_core_utils.litellm_logging import (
 from litellm.llms.base_llm.chat.transformation import BaseConfig
 from litellm.proxy._types import PassThroughEndpointLoggingTypedDict
 from litellm.proxy.auth.auth_utils import get_end_user_id_from_request_body
-from litellm.proxy.pass_through_endpoints.types import PassthroughStandardLoggingPayload
+from litellm.types.passthrough_endpoints.pass_through_endpoints import (
+    PassthroughStandardLoggingPayload,
+)
 from litellm.types.utils import LlmProviders, ModelResponse, TextCompletionResponse
 
 if TYPE_CHECKING:

litellm/proxy/pass_through_endpoints/streaming_handler.py

@@ -8,6 +8,7 @@ import httpx
 from litellm._logging import verbose_proxy_logger
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.proxy._types import PassThroughEndpointLoggingResultValues
+from litellm.types.passthrough_endpoints.pass_through_endpoints import EndpointType
 from litellm.types.utils import StandardPassThroughResponseObject
 
 from .llm_provider_handlers.anthropic_passthrough_logging_handler import (
@@ -17,7 +18,6 @@ from .llm_provider_handlers.vertex_passthrough_logging_handler import (
     VertexPassthroughLoggingHandler,
 )
 from .success_handler import PassThroughEndpointLogging
-from .types import EndpointType
 
 
 class PassThroughStreamingHandler:

tests/pass_through_unit_tests/test_custom_logger_passthrough.py

@@ -14,19 +14,31 @@ sys.path.insert(
 
 import litellm
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.types.passthrough_endpoints.pass_through_endpoints import PassthroughStandardLoggingPayload
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.proxy.pass_through_endpoints.pass_through_endpoints import pass_through_request
 
 class TestCustomLogger(CustomLogger):
+    def __init__(self):
+        self.logged_kwargs: Optional[dict] = None
+
     async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
         print("in async log success event kwargs", json.dumps(kwargs, indent=4, default=str))
-        pass
+        self.logged_kwargs = kwargs
 
 @pytest.mark.asyncio
 async def test_assistants_passthrough_logging():
     test_custom_logger = TestCustomLogger()
     litellm._async_success_callback = [test_custom_logger]
 
+    TARGET_URL = "https://api.openai.com/v1/assistants"
+    REQUEST_BODY = {
+        "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+        "name": "Math Tutor",
+        "tools": [{"type": "code_interpreter"}],
+        "model": "gpt-4o"
+    }
+
     result = await pass_through_request(
         request=Request(
             scope={
@@ -41,7 +53,7 @@ async def test_assistants_passthrough_logging():
                 ]
             },
         ),
-        target="https://api.openai.com/v1/assistants",
+        target=TARGET_URL,
         custom_headers={
             "Content-Type": "application/json",
             "Authorization": f"Bearer {os.getenv('OPENAI_API_KEY')}",
@@ -53,12 +65,7 @@ async def test_assistants_passthrough_logging():
             team_id="test",
             end_user_id="test",
         ),
-        custom_body={
+        custom_body=REQUEST_BODY,
-            "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
-            "name": "Math Tutor",
-            "tools": [{"type": "code_interpreter"}],
-            "model": "gpt-4o"
-        },
         forward_headers=False,
         merge_query_params=False,
     )
@@ -67,7 +74,17 @@ async def test_assistants_passthrough_logging():
     print("result status code", result.status_code)
     print("result content", result.body)
     
+    await asyncio.sleep(1)
+
+    assert test_custom_logger.logged_kwargs is not None
+    passthrough_logging_payload: Optional[PassthroughStandardLoggingPayload] = test_custom_logger.logged_kwargs["passthrough_logging_payload"]
+    assert passthrough_logging_payload is not None
+    assert passthrough_logging_payload["url"] == TARGET_URL
+    assert passthrough_logging_payload["request_body"] == REQUEST_BODY
+
+    # assert that the response body content matches the response body content
+    client_facing_response_body = json.loads(result.body)
+    assert passthrough_logging_payload["response_body"]  == client_facing_response_body
 
 
-    await asyncio.sleep(5)
 

tests/pass_through_unit_tests/test_pass_through_unit_tests.py

@@ -17,7 +17,7 @@ import pytest
 import litellm
 from typing import AsyncGenerator
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
-from litellm.proxy.pass_through_endpoints.types import EndpointType
+from litellm.types.passthrough_endpoints.pass_through_endpoints import EndpointType
 from litellm.proxy.pass_through_endpoints.success_handler import (
     PassThroughEndpointLogging,
 )
@@ -34,7 +34,7 @@ from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
     _init_kwargs_for_pass_through_endpoint,
     _update_metadata_with_tags_in_header,
 )
-from litellm.proxy.pass_through_endpoints.types import PassthroughStandardLoggingPayload
+from litellm.types.passthrough_endpoints.pass_through_endpoints import PassthroughStandardLoggingPayload
 
 
 @pytest.fixture

tests/pass_through_unit_tests/test_unit_test_streaming.py

@@ -13,7 +13,8 @@ import pytest
 import litellm
 from typing import AsyncGenerator
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
-from litellm.proxy.pass_through_endpoints.types import EndpointType
+from litellm.types.passthrough_endpoints.pass_through_endpoints import EndpointType
+from litellm.types.passthrough_endpoints.pass_through_endpoints import PassthroughStandardLoggingPayload
 from litellm.proxy.pass_through_endpoints.success_handler import (
     PassThroughEndpointLogging,
 )