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litellm/tests/pass_through_unit_tests/test_unit_test_streaming.py
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8.3 KiB
Python

import json
import os
import sys
from datetime import datetime
from unittest.mock import AsyncMock, Mock, patch, MagicMock
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import httpx
import pytest
import litellm
from typing import AsyncGenerator
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
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,
)
from litellm.proxy.pass_through_endpoints.streaming_handler import (
PassThroughStreamingHandler,
)
# Helper function to mock async iteration
async def aiter_mock(iterable):
for item in iterable:
yield item
@pytest.mark.asyncio
@pytest.mark.parametrize(
"endpoint_type,url_route",
[
(
EndpointType.VERTEX_AI,
"v1/projects/pathrise-convert-1606954137718/locations/us-central1/publishers/google/models/gemini-1.0-pro:generateContent",
),
(EndpointType.ANTHROPIC, "/v1/messages"),
],
)
async def test_chunk_processor_yields_raw_bytes(endpoint_type, url_route):
"""
Test that the chunk_processor yields raw bytes
This is CRITICAL for pass throughs streaming with Vertex AI and Anthropic
"""
# Mock inputs
response = AsyncMock(spec=httpx.Response)
raw_chunks = [
b'{"id": "1", "content": "Hello"}',
b'{"id": "2", "content": "World"}',
b'\n\ndata: {"id": "3"}', # Testing different byte formats
]
# Mock aiter_bytes to return an async generator
async def mock_aiter_bytes():
for chunk in raw_chunks:
yield chunk
response.aiter_bytes = mock_aiter_bytes
request_body = {"key": "value"}
litellm_logging_obj = MagicMock()
start_time = datetime.now()
passthrough_success_handler_obj = MagicMock()
litellm_logging_obj.async_success_handler = AsyncMock()
# Capture yielded chunks and perform detailed assertions
received_chunks = []
async for chunk in PassThroughStreamingHandler.chunk_processor(
response=response,
request_body=request_body,
litellm_logging_obj=litellm_logging_obj,
endpoint_type=endpoint_type,
start_time=start_time,
passthrough_success_handler_obj=passthrough_success_handler_obj,
url_route=url_route,
):
# Assert each chunk is bytes
assert isinstance(chunk, bytes), f"Chunk should be bytes, got {type(chunk)}"
# Assert no decoding/encoding occurred (chunk should be exactly as input)
assert (
chunk in raw_chunks
), f"Chunk {chunk} was modified during processing. For pass throughs streaming, chunks should be raw bytes"
received_chunks.append(chunk)
# Assert all chunks were processed
assert len(received_chunks) == len(raw_chunks), "Not all chunks were processed"
# collected chunks all together
assert b"".join(received_chunks) == b"".join(
raw_chunks
), "Collected chunks do not match raw chunks"
@pytest.mark.asyncio
async def test_route_streaming_logging_runs_async_handler_for_sdk_passthrough():
"""
SDK pass-through streaming (anthropic_messages, google generate_content) must run
the async success handler so async-only loggers record the assembled stream.
Regression for duplicate-trace dedupe: dispatch_success_handlers treated these as
sync SDK requests because call_type is not ``pass_through_endpoint`` and
litellm_params carries no ``acompletion`` flag, so only the sync success_handler
ran and CustomLogger.async_log_success_event never fired.
"""
import time
from litellm.types.utils import CallTypes
logging_obj = LiteLLMLoggingObj(
model="claude-sonnet-4-5",
messages=[{"role": "user", "content": "hi"}],
stream=True,
call_type=CallTypes.anthropic_messages.value,
start_time=time.time(),
litellm_call_id="test-id",
function_id="fn",
)
logging_obj.model_call_details["litellm_params"] = {"anthropic_messages": True}
with (
patch.object(
PassThroughStreamingHandler,
"_build_passthrough_logging_result",
return_value=({"id": "slp"}, {}),
),
patch.object(
logging_obj, "async_success_handler", new_callable=AsyncMock
) as mock_async,
patch.object(
logging_obj, "success_handler", new_callable=MagicMock
) as mock_sync,
patch.object(
logging_obj,
"_should_run_sync_callbacks_for_async_calls",
return_value=False,
),
):
await PassThroughStreamingHandler._route_streaming_logging_to_handler(
litellm_logging_obj=logging_obj,
passthrough_success_handler_obj=MagicMock(),
url_route="/v1/messages",
request_body={},
endpoint_type=EndpointType.ANTHROPIC,
start_time=datetime.now(),
raw_bytes=[],
end_time=datetime.now(),
)
mock_async.assert_awaited_once()
mock_sync.assert_not_called()
@pytest.mark.asyncio
async def test_handle_logging_runs_async_handler_for_passthrough():
"""
Non-streaming pass-through logging (_handle_logging) must always run the
async success handler so async-only loggers (e.g. the proxy spend logger)
record the request.
_handle_logging is only ever reached from pass_through_async_success_handler
(an async context), so it forces async dispatch via prefer_async_handlers.
This pins that contract independent of the call-type classification: even a
call_type that _is_sync_litellm_request would classify as sync (here
"completion" with no async marker in litellm_params) must still reach
async_success_handler. Without prefer_async_handlers=True the sync-only
branch would return early and async_log_success_event would never fire.
"""
import time
from litellm.types.utils import CallTypes
logging_obj = LiteLLMLoggingObj(
model="claude-sonnet-4-5",
messages=[{"role": "user", "content": "hi"}],
stream=False,
call_type=CallTypes.completion.value,
start_time=time.time(),
litellm_call_id="test-id",
function_id="fn",
)
logging_obj.model_call_details["litellm_params"] = {}
handler = PassThroughEndpointLogging()
with (
patch.object(
logging_obj, "async_success_handler", new_callable=AsyncMock
) as mock_async,
patch.object(
logging_obj, "success_handler", new_callable=MagicMock
) as mock_sync,
patch.object(
logging_obj,
"_should_run_sync_callbacks_for_async_calls",
return_value=False,
),
):
await handler._handle_logging(
logging_obj=logging_obj,
standard_logging_response_object={"id": "slp"},
result="",
start_time=datetime.now(),
end_time=datetime.now(),
cache_hit=False,
)
mock_async.assert_awaited_once()
mock_sync.assert_not_called()
def test_convert_raw_bytes_to_str_lines():
"""
Test that the _convert_raw_bytes_to_str_lines method correctly converts raw bytes to a list of strings
"""
# Test case 1: Single chunk
raw_bytes = [b'data: {"content": "Hello"}\n']
result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
assert result == ['data: {"content": "Hello"}']
# Test case 2: Multiple chunks
raw_bytes = [b'data: {"content": "Hello"}\n', b'data: {"content": "World"}\n']
result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
assert result == ['data: {"content": "Hello"}', 'data: {"content": "World"}']
# Test case 3: Empty input
raw_bytes = []
result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
assert result == []
# Test case 4: Chunks with empty lines
raw_bytes = [b'data: {"content": "Hello"}\n\n', b'\ndata: {"content": "World"}\n']
result = PassThroughStreamingHandler._convert_raw_bytes_to_str_lines(raw_bytes)
assert result == ['data: {"content": "Hello"}', 'data: {"content": "World"}']