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Rodrigo Stachlewski Palma 2026-11-04 07:10:49 +00:00 • committed by GitHub
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@ -4443,6 +4443,34 @@ class Logging(LiteLLMLoggingBaseClass):
"LiteLLM.LoggingError: [Non-Blocking] Exception building the standard logging payload "
"for a streaming response; callbacks still run without it"
)
if self.model_call_details.get("standard_logging_object") is None:
# get_standard_logging_object_payload swallows exceptions and
# returns None, and the except branch above leaves the key
# unset. Loggers gated on standard_logging_object (e.g. s3_v2)
# would then silently drop the request while spend tracking
# still succeeds via the response_cost fallback. Rebuild from an
# empty response object instead, mirroring the failure-path
# fallback. See #32019.
verbose_logger.error(
"standard_logging_object build failed for a streaming response; "
"retrying with an empty response object"
)
try:
self.model_call_details["standard_logging_object"] = self._build_standard_logging_payload(
{}, # mutable-ok: empty response object, mirrors the failure-path fallback
start_time, # pyright: ignore[reportUnknownArgumentType] # untyped _success_handler_helper_fn return
end_time, # pyright: ignore[reportUnknownArgumentType] # untyped _success_handler_helper_fn return
)
if self.model_call_details["standard_logging_object"] is None:
verbose_logger.error(
"standard_logging_object rebuild failed for a streaming response; "
"loggers gated on standard_logging_object will skip this request"
)
except Exception: # noqa: BLE001 # same rule as above: never block later callbacks
verbose_logger.exception(
"LiteLLM.LoggingError: [Non-Blocking] Exception rebuilding the degraded standard "
"logging payload for a streaming response"
)
# print standard logging payload
self._emit_stored_standard_logging_payload()

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@ -0,0 +1,181 @@
"""
Regression tests for https://github.com/BerriAI/litellm/issues/32019.
Streaming /v1/messages responses were silently dropped by loggers gated on
``standard_logging_object`` (e.g. ``s3_v2``) whenever StandardLoggingPayload
construction failed: ``get_standard_logging_object_payload`` swallows the
exception and returns ``None``, spend tracking still succeeds via the
``response_cost`` fallback, and no error surfaces to the caller.
"""
import logging
from datetime import datetime
import pytest
import litellm
from litellm.litellm_core_utils.litellm_logging import Logging
from litellm.types.utils import ModelResponse
DEGRADED_PAYLOAD = {"trace_id": "degraded-fallback"}
@pytest.mark.asyncio
async def test_streaming_slo_build_failure_falls_back_to_degraded_payload(monkeypatch):
"""When the SLP build returns None for an assembled streaming response,
async_success_handler must rebuild it from an empty response object so
SLP-gated loggers still record the request."""
logging_obj = Logging(
model="claude-3-5-sonnet-20240620",
messages=[{"role": "user", "content": "hi"}],
stream=True,
call_type="anthropic_messages",
start_time=datetime.now(),
litellm_call_id="test-32019",
function_id="test-32019",
)
build_calls = []
def fake_build(self, init_response_obj, start_time, end_time):
build_calls.append(init_response_obj)
if init_response_obj == {}:
return DEGRADED_PAYLOAD
return None # simulates get_standard_logging_object_payload swallowing an exception
monkeypatch.setattr(Logging, "_build_standard_logging_payload", fake_build)
monkeypatch.setattr(litellm, "_async_success_callback", [])
monkeypatch.setattr(litellm, "success_callback", [])
result = ModelResponse(model="claude-3-5-sonnet-20240620")
await logging_obj.async_success_handler(
result,
start_time=datetime.now(),
end_time=datetime.now(),
cache_hit=False,
)
assert logging_obj.model_call_details["standard_logging_object"] == DEGRADED_PAYLOAD
assert build_calls == [result, {}]
@pytest.mark.asyncio
async def test_streaming_slo_build_success_does_not_rebuild(monkeypatch):
"""The degraded rebuild must not run when the SLP builds normally."""
logging_obj = Logging(
model="claude-3-5-sonnet-20240620",
messages=[{"role": "user", "content": "hi"}],
stream=True,
call_type="anthropic_messages",
start_time=datetime.now(),
litellm_call_id="test-32019-ok",
function_id="test-32019-ok",
)
build_calls = []
healthy_payload = {"trace_id": "healthy"}
def fake_build(self, init_response_obj, start_time, end_time):
build_calls.append(init_response_obj)
return healthy_payload
monkeypatch.setattr(Logging, "_build_standard_logging_payload", fake_build)
monkeypatch.setattr(litellm, "_async_success_callback", [])
monkeypatch.setattr(litellm, "success_callback", [])
result = ModelResponse(model="claude-3-5-sonnet-20240620")
await logging_obj.async_success_handler(
result,
start_time=datetime.now(),
end_time=datetime.now(),
cache_hit=False,
)
assert logging_obj.model_call_details["standard_logging_object"] == healthy_payload
assert len(build_calls) == 1
@pytest.mark.asyncio
async def test_streaming_slo_double_build_failure_is_logged(monkeypatch, caplog):
"""If the empty-response rebuild also fails, the persistent failure must be
surfaced with a second error log instead of silently leaving the payload None."""
logging_obj = Logging(
model="claude-3-5-sonnet-20240620",
messages=[{"role": "user", "content": "hi"}],
stream=True,
call_type="anthropic_messages",
start_time=datetime.now(),
litellm_call_id="test-32019-double",
function_id="test-32019-double",
)
build_calls = []
def fake_build(self, init_response_obj, start_time, end_time) -> None:
# Returning None is the point: both the primary build and the
# empty-response retry fail.
build_calls.append(init_response_obj)
monkeypatch.setattr(Logging, "_build_standard_logging_payload", fake_build)
monkeypatch.setattr(litellm, "_async_success_callback", [])
monkeypatch.setattr(litellm, "success_callback", [])
result = ModelResponse(model="claude-3-5-sonnet-20240620")
with caplog.at_level(logging.ERROR, logger="LiteLLM"):
await logging_obj.async_success_handler(
result,
start_time=datetime.now(),
end_time=datetime.now(),
cache_hit=False,
)
assert logging_obj.model_call_details["standard_logging_object"] is None
assert build_calls == [result, {}]
assert "rebuild failed" in caplog.text
@pytest.mark.asyncio
async def test_streaming_slo_rebuild_raising_does_not_block_callbacks(monkeypatch, caplog):
"""The rebuild is wrapped for the same reason main wraps the primary build:
a payload build must never stop the later callbacks from running. If the
empty-response retry raises, the success callback still fires."""
logging_obj = Logging(
model="claude-3-5-sonnet-20240620",
messages=[{"role": "user", "content": "hi"}],
stream=True,
call_type="anthropic_messages",
start_time=datetime.now(),
litellm_call_id="test-32019-raise",
function_id="test-32019-raise",
)
build_calls = []
def fake_build(self, init_response_obj, start_time, end_time):
build_calls.append(init_response_obj)
if init_response_obj == {}:
raise RuntimeError("rebuild blew up")
return None
called_back = []
async def async_success_callback(kwargs, completion_response, start_time, end_time):
called_back.append(completion_response)
monkeypatch.setattr(Logging, "_build_standard_logging_payload", fake_build)
monkeypatch.setattr(litellm, "_async_success_callback", [async_success_callback])
monkeypatch.setattr(litellm, "success_callback", [])
result = ModelResponse(model="claude-3-5-sonnet-20240620")
with caplog.at_level(logging.ERROR, logger="LiteLLM"):
await logging_obj.async_success_handler(
result,
start_time=datetime.now(),
end_time=datetime.now(),
cache_hit=False,
)
assert build_calls == [result, {}]
assert logging_obj.model_call_details["standard_logging_object"] is None
assert "Exception rebuilding the degraded standard logging payload" in caplog.text
assert len(called_back) == 1