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crewAI/lib/crewai/tests/test_llm_streaming_finish_reason.py
Lucas Gomide 34230a0182
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fix: harden brittle LLM event-bus mocks (#6861)
* fix: patch the event-bus singleton in usage event tests

`TestEmitCallCompletedEventPassesUsage` mocked `CrewAIEventsBus.emit`
on the class, but `_emit_call_completed_event` calls the
`crewai_event_bus` singleton. Under CI that left the real bus emitting
and the mock never seeing a call. Patch the singleton where
`base_llm` imports it instead.

* fix: harden llm call-failed event test against VCR fallback

`test_llm_emits_call_failed_event` marked VCR while mocking
`_handle_completion`, and its cassette recorded a successful reply.
When the class-level patch missed under xdist, VCR replayed success
and the expected exception never fired. Patch the instance method and
drop the cassette so the failure path cannot silently succeed.

* fix: patch the event-bus singleton instance in emit mocks

`patch.object(CrewAIEventsBus, "emit")` misses callers when an
instance-level `emit` shadows the class method — common under xdist
after other suites touch the singleton. Patch `crewai_event_bus.emit`
on the shared instance instead across the LLM event mock fixtures.
2026-08-07 19:23:32 +05:30

97 lines
3.0 KiB
Python

"""Regression: LiteLLM emits a final usage-only chunk (choices=[]) when
``stream_options.include_usage`` is set. The old post-loop
``_extract_finish_reason_and_response_id(last_chunk)`` then silently returned
(None, None). These tests pin that we capture finish_reason/response_id
incrementally during the stream loop instead.
"""
from __future__ import annotations
from typing import Any
from unittest.mock import patch
import pytest
from crewai.events.event_bus import crewai_event_bus
from crewai.events.types.llm_events import LLMCallCompletedEvent
from crewai.llm import LLM
@pytest.fixture
def mock_emit():
with patch.object(crewai_event_bus, "emit") as mock:
yield mock
def _completed_event(mock_emit) -> LLMCallCompletedEvent:
matches = [
call.kwargs["event"]
for call in mock_emit.call_args_list
if isinstance(call.kwargs.get("event"), LLMCallCompletedEvent)
]
assert matches, "expected an LLMCallCompletedEvent to be emitted"
assert len(matches) == 1, f"expected one completed event, got {len(matches)}"
return matches[0]
def _chunks_with_usage_tail() -> list[dict[str, Any]]:
"""Three-chunk stream mirroring LiteLLM's include_usage behavior:
two content chunks where the second carries finish_reason="stop",
then a final usage-only chunk with choices=[]."""
return [
{
"id": "chatcmpl-stream-1",
"choices": [
{"delta": {"content": "hi"}, "finish_reason": None}
],
},
{
"id": "chatcmpl-stream-1",
"choices": [
{"delta": {"content": " there"}, "finish_reason": "stop"}
],
},
{
"id": "chatcmpl-stream-1",
"choices": [],
"usage": {
"prompt_tokens": 1,
"completion_tokens": 2,
"total_tokens": 3,
},
},
]
def test_sync_stream_emits_finish_reason_and_response_id_from_loop(mock_emit):
llm = LLM(model="gpt-4o-mini", is_litellm=True, stream=True)
with patch("crewai.llm.litellm.completion", return_value=iter(_chunks_with_usage_tail())):
result = llm.call("anything")
assert result == "hi there"
event = _completed_event(mock_emit)
assert event.finish_reason == "stop"
assert event.response_id == "chatcmpl-stream-1"
@pytest.mark.asyncio
async def test_async_stream_emits_finish_reason_and_response_id_from_loop(mock_emit):
llm = LLM(model="gpt-4o-mini", is_litellm=True, stream=True)
async def _aiter():
for chunk in _chunks_with_usage_tail():
yield chunk
async def _acompletion(*_args, **_kwargs):
return _aiter()
with patch("crewai.llm.litellm.acompletion", side_effect=_acompletion):
result = await llm.acall("anything")
assert result == "hi there"
event = _completed_event(mock_emit)
assert event.finish_reason == "stop"
assert event.response_id == "chatcmpl-stream-1"