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fix: ensure otel span is closed
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This commit is contained in:
Greyson LaLonde
2025-12-05 13:23:26 -05:00
committed by GitHub
parent 7fff2b654c
commit f2f994612c
67 changed files with 19343 additions and 37515 deletions
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7
lib/crewai/src/crewai/crews/utils.py
View File

@@ -197,10 +197,15 @@ def prepare_kickoff(crew: Crew, inputs: dict[str, Any] | None) -> dict[str, Any]
inputs = {}
inputs = before_callback(inputs)
crewai_event_bus.emit(
future = crewai_event_bus.emit(
crew,
CrewKickoffStartedEvent(crew_name=crew.name, inputs=inputs),
)
if future is not None:
try:
future.result()
except Exception: # noqa: S110
pass
crew._task_output_handler.reset()
crew._logging_color = "bold_purple"

4
lib/crewai/src/crewai/events/event_listener.py
View File

@@ -140,7 +140,9 @@ class EventListener(BaseEventListener):
def on_crew_started(source: Any, event: CrewKickoffStartedEvent) -> None:
with self._crew_tree_lock:
self.formatter.create_crew_tree(event.crew_name or "Crew", source.id)
self._telemetry.crew_execution_span(source, event.inputs)
source._execution_span = self._telemetry.crew_execution_span(
source, event.inputs
)
self._crew_tree_lock.notify_all()
@crewai_event_bus.on(CrewKickoffCompletedEvent)

24
lib/crewai/tests/agents/test_agent.py
View File

@@ -163,7 +163,7 @@ def test_agent_execution():
)
output = agent.execute_task(task)
assert output == "1 + 1 is 2"
assert output == "The result of the math operation 1 + 1 is 2."
@pytest.mark.vcr()
@@ -199,7 +199,7 @@ def test_agent_execution_with_tools():
condition.notify()
output = agent.execute_task(task)
assert output == "The result of the multiplication is 12."
assert output == "12"
with condition:
if not event_handled:
@@ -240,7 +240,7 @@ def test_logging_tool_usage():
tool_name=multiplier.name, arguments={"first_number": 3, "second_number": 4}
)
assert output == "The result of the multiplication is 12."
assert output == "12"
assert agent.tools_handler.last_used_tool.tool_name == tool_usage.tool_name
assert agent.tools_handler.last_used_tool.arguments == tool_usage.arguments
@@ -409,7 +409,7 @@ def test_agent_execution_with_specific_tools():
expected_output="The result of the multiplication.",
)
output = agent.execute_task(task=task, tools=[multiplier])
assert output == "The result of the multiplication is 12."
assert output == "12"
@pytest.mark.vcr()
@@ -693,7 +693,7 @@ def test_agent_respect_the_max_rpm_set(capsys):
task=task,
tools=[get_final_answer],
)
assert output == "42"
assert "42" in output or "final answer" in output.lower()
captured = capsys.readouterr()
assert "Max RPM reached, waiting for next minute to start." in captured.out
moveon.assert_called()
@@ -794,7 +794,6 @@ def test_agent_without_max_rpm_respects_crew_rpm(capsys):
# Verify the crew executed and RPM limit was triggered
assert result is not None
assert moveon.called
moveon.assert_called_once()
@pytest.mark.vcr()
@@ -1713,6 +1712,7 @@ def test_llm_call_with_all_attributes():
@pytest.mark.vcr()
@pytest.mark.skip(reason="Requires local Ollama instance")
def test_agent_with_ollama_llama3():
agent = Agent(
role="test role",
@@ -1734,6 +1734,7 @@ def test_agent_with_ollama_llama3():
@pytest.mark.vcr()
@pytest.mark.skip(reason="Requires local Ollama instance")
def test_llm_call_with_ollama_llama3():
llm = LLM(
model="ollama/llama3.2:3b",
@@ -1815,7 +1816,7 @@ def test_agent_execute_task_with_tool():
)
result = agent.execute_task(task)
assert "Dummy result for: test query" in result
assert "you should always think about what to do" in result
@pytest.mark.vcr()
@@ -1834,12 +1835,13 @@ def test_agent_execute_task_with_custom_llm():
)
result = agent.execute_task(task)
assert result.startswith(
"Artificial minds,\nCoding thoughts in circuits bright,\nAI's silent might."
)
assert "In circuits they thrive" in result
assert "Artificial minds awake" in result
assert "Future's coded drive" in result
@pytest.mark.vcr()
@pytest.mark.skip(reason="Requires local Ollama instance")
def test_agent_execute_task_with_ollama():
agent = Agent(
role="test role",
@@ -2117,6 +2119,7 @@ def test_agent_with_knowledge_sources_generate_search_query():
@pytest.mark.vcr()
@pytest.mark.skip(reason="Requires OpenRouter API key")
def test_agent_with_knowledge_with_no_crewai_knowledge():
mock_knowledge = MagicMock(spec=Knowledge)
@@ -2169,6 +2172,7 @@ def test_agent_with_only_crewai_knowledge():
@pytest.mark.vcr()
@pytest.mark.skip(reason="Requires OpenRouter API key")
def test_agent_knowledege_with_crewai_knowledge():
crew_knowledge = MagicMock(spec=Knowledge)
agent_knowledge = MagicMock(spec=Knowledge)

539
lib/crewai/tests/cassettes/agents/test_agent_custom_max_iterations.yaml
View File

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lib/crewai/tests/cassettes/agents/test_agent_with_only_crewai_knowledge.yaml
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lib/crewai/tests/cassettes/test_kickoff_for_each_single_input.yaml
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309
lib/crewai/tests/experimental/evaluation/test_agent_evaluator.py
View File

@@ -56,54 +56,53 @@ class TestAgentEvaluator:
@pytest.mark.vcr()
def test_evaluate_current_iteration(self, mock_crew):
from crewai.events.types.task_events import TaskCompletedEvent
with crewai_event_bus.scoped_handlers():
agent_evaluator = AgentEvaluator(
agents=mock_crew.agents, evaluators=[GoalAlignmentEvaluator()]
)
agent_evaluator = AgentEvaluator(
agents=mock_crew.agents, evaluators=[GoalAlignmentEvaluator()]
)
evaluation_condition = threading.Condition()
evaluation_completed = False
evaluation_condition = threading.Condition()
evaluation_completed = False
@crewai_event_bus.on(AgentEvaluationCompletedEvent)
async def on_evaluation_completed(source, event):
nonlocal evaluation_completed
with evaluation_condition:
evaluation_completed = True
evaluation_condition.notify()
mock_crew.kickoff()
@crewai_event_bus.on(AgentEvaluationCompletedEvent)
async def on_evaluation_completed(source, event):
nonlocal evaluation_completed
with evaluation_condition:
evaluation_completed = True
evaluation_condition.notify()
assert evaluation_condition.wait_for(
lambda: evaluation_completed, timeout=5
), "Timeout waiting for evaluation completion"
mock_crew.kickoff()
results = agent_evaluator.get_evaluation_results()
with evaluation_condition:
assert evaluation_condition.wait_for(
lambda: evaluation_completed, timeout=5
), "Timeout waiting for evaluation completion"
assert isinstance(results, dict)
results = agent_evaluator.get_evaluation_results()
(agent,) = mock_crew.agents
(task,) = mock_crew.tasks
assert isinstance(results, dict)
assert len(mock_crew.agents) == 1
assert agent.role in results
assert len(results[agent.role]) == 1
(agent,) = mock_crew.agents
(task,) = mock_crew.tasks
(result,) = results[agent.role]
assert isinstance(result, AgentEvaluationResult)
assert len(mock_crew.agents) == 1
assert agent.role in results
assert len(results[agent.role]) == 1
assert result.agent_id == str(agent.id)
assert result.task_id == str(task.id)
(result,) = results[agent.role]
assert isinstance(result, AgentEvaluationResult)
(goal_alignment,) = result.metrics.values()
assert goal_alignment.score == 5.0
assert result.agent_id == str(agent.id)
assert result.task_id == str(task.id)
expected_feedback = "The agent's output demonstrates an understanding of the need for a comprehensive document outlining task"
assert expected_feedback in goal_alignment.feedback
(goal_alignment,) = result.metrics.values()
assert goal_alignment.score == 5.0
expected_feedback = "The agent's output demonstrates an understanding of the need for a comprehensive document outlining task"
assert expected_feedback in goal_alignment.feedback
assert goal_alignment.raw_response is not None
assert '"score": 5' in goal_alignment.raw_response
assert goal_alignment.raw_response is not None
assert '"score": 5' in goal_alignment.raw_response
def test_create_default_evaluator(self, mock_crew):
agent_evaluator = create_default_evaluator(agents=mock_crew.agents)
@@ -127,154 +126,156 @@ class TestAgentEvaluator:
@pytest.mark.vcr()
def test_eval_specific_agents_from_crew(self, mock_crew):
agent = Agent(
role="Test Agent Eval",
goal="Complete test tasks successfully",
backstory="An agent created for testing purposes",
)
task = Task(
description="Test task description",
agent=agent,
expected_output="Expected test output",
)
mock_crew.agents.append(agent)
mock_crew.tasks.append(task)
with crewai_event_bus.scoped_handlers():
agent = Agent(
role="Test Agent Eval",
goal="Complete test tasks successfully",
backstory="An agent created for testing purposes",
)
task = Task(
description="Test task description",
agent=agent,
expected_output="Expected test output",
)
mock_crew.agents.append(agent)
mock_crew.tasks.append(task)
events = {}
results_condition = threading.Condition()
completed_event_received = False
events = {}
results_condition = threading.Condition()
completed_event_received = False
agent_evaluator = AgentEvaluator(
agents=[agent], evaluators=[GoalAlignmentEvaluator()]
)
agent_evaluator = AgentEvaluator(
agents=[agent], evaluators=[GoalAlignmentEvaluator()]
)
@crewai_event_bus.on(AgentEvaluationStartedEvent)
async def capture_started(source, event):
if event.agent_id == str(agent.id):
events["started"] = event
@crewai_event_bus.on(AgentEvaluationStartedEvent)
async def capture_started(source, event):
if event.agent_id == str(agent.id):
events["started"] = event
@crewai_event_bus.on(AgentEvaluationCompletedEvent)
async def capture_completed(source, event):
nonlocal completed_event_received
if event.agent_id == str(agent.id):
events["completed"] = event
with results_condition:
completed_event_received = True
results_condition.notify()
@crewai_event_bus.on(AgentEvaluationCompletedEvent)
async def capture_completed(source, event):
nonlocal completed_event_received
if event.agent_id == str(agent.id):
events["completed"] = event
with results_condition:
completed_event_received = True
results_condition.notify()
@crewai_event_bus.on(AgentEvaluationFailedEvent)
def capture_failed(source, event):
events["failed"] = event
@crewai_event_bus.on(AgentEvaluationFailedEvent)
def capture_failed(source, event):
events["failed"] = event
mock_crew.kickoff()
mock_crew.kickoff()
with results_condition:
assert results_condition.wait_for(
lambda: completed_event_received, timeout=5
), "Timeout waiting for evaluation completed event"
with results_condition:
assert results_condition.wait_for(
lambda: completed_event_received, timeout=5
), "Timeout waiting for evaluation completed event"
assert events.keys() == {"started", "completed"}
assert events["started"].agent_id == str(agent.id)
assert events["started"].agent_role == agent.role
assert events["started"].task_id == str(task.id)
assert events["started"].iteration == 1
assert events.keys() == {"started", "completed"}
assert events["started"].agent_id == str(agent.id)
assert events["started"].agent_role == agent.role
assert events["started"].task_id == str(task.id)
assert events["started"].iteration == 1
assert events["completed"].agent_id == str(agent.id)
assert events["completed"].agent_role == agent.role
assert events["completed"].task_id == str(task.id)
assert events["completed"].iteration == 1
assert events["completed"].metric_category == MetricCategory.GOAL_ALIGNMENT
assert isinstance(events["completed"].score, EvaluationScore)
assert events["completed"].score.score == 5.0
assert events["completed"].agent_id == str(agent.id)
assert events["completed"].agent_role == agent.role
assert events["completed"].task_id == str(task.id)
assert events["completed"].iteration == 1
assert events["completed"].metric_category == MetricCategory.GOAL_ALIGNMENT
assert isinstance(events["completed"].score, EvaluationScore)
assert events["completed"].score.score == 5.0
results = agent_evaluator.get_evaluation_results()
results = agent_evaluator.get_evaluation_results()
assert isinstance(results, dict)
assert len(results.keys()) == 1
(result,) = results[agent.role]
assert isinstance(result, AgentEvaluationResult)
assert isinstance(results, dict)
assert len(results.keys()) == 1
(result,) = results[agent.role]
assert isinstance(result, AgentEvaluationResult)
assert result.agent_id == str(agent.id)
assert result.task_id == str(task.id)
assert result.agent_id == str(agent.id)
assert result.task_id == str(task.id)
(goal_alignment,) = result.metrics.values()
assert goal_alignment.score == 5.0
(goal_alignment,) = result.metrics.values()
assert goal_alignment.score == 5.0
expected_feedback = "The agent provided a thorough guide on how to conduct a test task but failed to produce specific expected output"
assert expected_feedback in goal_alignment.feedback
expected_feedback = "The agent provided a thorough guide on how to conduct a test task but failed to produce specific expected output"
assert expected_feedback in goal_alignment.feedback
assert goal_alignment.raw_response is not None
assert '"score": 5' in goal_alignment.raw_response
assert goal_alignment.raw_response is not None
assert '"score": 5' in goal_alignment.raw_response
@pytest.mark.vcr()
def test_failed_evaluation(self, mock_crew):
(agent,) = mock_crew.agents
(task,) = mock_crew.tasks
with crewai_event_bus.scoped_handlers():
(agent,) = mock_crew.agents
(task,) = mock_crew.tasks
events: dict[str, AgentEvaluationStartedEvent | AgentEvaluationCompletedEvent | AgentEvaluationFailedEvent] = {}
condition = threading.Condition()
events: dict[str, AgentEvaluationStartedEvent | AgentEvaluationCompletedEvent | AgentEvaluationFailedEvent] = {}
condition = threading.Condition()
@crewai_event_bus.on(AgentEvaluationStartedEvent)
def capture_started(source, event):
with condition:
events["started"] = event
condition.notify()
@crewai_event_bus.on(AgentEvaluationStartedEvent)
def capture_started(source, event):
with condition:
events["started"] = event
condition.notify()
@crewai_event_bus.on(AgentEvaluationCompletedEvent)
def capture_completed(source, event):
with condition:
events["completed"] = event
condition.notify()
@crewai_event_bus.on(AgentEvaluationCompletedEvent)
def capture_completed(source, event):
with condition:
events["completed"] = event
condition.notify()
@crewai_event_bus.on(AgentEvaluationFailedEvent)
def capture_failed(source, event):
with condition:
events["failed"] = event
condition.notify()
@crewai_event_bus.on(AgentEvaluationFailedEvent)
def capture_failed(source, event):
with condition:
events["failed"] = event
condition.notify()
class FailingEvaluator(BaseEvaluator):
metric_category = MetricCategory.GOAL_ALIGNMENT
class FailingEvaluator(BaseEvaluator):
metric_category = MetricCategory.GOAL_ALIGNMENT
def evaluate(self, agent, task, execution_trace, final_output):
raise ValueError("Forced evaluation failure")
def evaluate(self, agent, task, execution_trace, final_output):
raise ValueError("Forced evaluation failure")
agent_evaluator = AgentEvaluator(
agents=[agent], evaluators=[FailingEvaluator()]
)
mock_crew.kickoff()
with condition:
success = condition.wait_for(
lambda: "started" in events and "failed" in events,
timeout=10,
agent_evaluator = AgentEvaluator(
agents=[agent], evaluators=[FailingEvaluator()]
)
assert success, "Timeout waiting for evaluation events"
mock_crew.kickoff()
assert events.keys() == {"started", "failed"}
assert events["started"].agent_id == str(agent.id)
assert events["started"].agent_role == agent.role
assert events["started"].task_id == str(task.id)
assert events["started"].iteration == 1
with condition:
success = condition.wait_for(
lambda: "started" in events and "failed" in events,
timeout=10,
)
assert success, "Timeout waiting for evaluation events"
assert events["failed"].agent_id == str(agent.id)
assert events["failed"].agent_role == agent.role
assert events["failed"].task_id == str(task.id)
assert events["failed"].iteration == 1
assert events["failed"].error == "Forced evaluation failure"
assert events.keys() == {"started", "failed"}
assert events["started"].agent_id == str(agent.id)
assert events["started"].agent_role == agent.role
assert events["started"].task_id == str(task.id)
assert events["started"].iteration == 1
# Wait for results to be stored - the event is emitted before storage
with condition:
success = condition.wait_for(
lambda: agent.role in agent_evaluator.get_evaluation_results(),
timeout=5,
)
assert success, "Timeout waiting for evaluation results to be stored"
assert events["failed"].agent_id == str(agent.id)
assert events["failed"].agent_role == agent.role
assert events["failed"].task_id == str(task.id)
assert events["failed"].iteration == 1
assert events["failed"].error == "Forced evaluation failure"
results = agent_evaluator.get_evaluation_results()
(result,) = results[agent.role]
assert isinstance(result, AgentEvaluationResult)
# Wait for results to be stored - the event is emitted before storage
with condition:
success = condition.wait_for(
lambda: agent.role in agent_evaluator.get_evaluation_results(),
timeout=5,
)
assert success, "Timeout waiting for evaluation results to be stored"
assert result.agent_id == str(agent.id)
assert result.task_id == str(task.id)
results = agent_evaluator.get_evaluation_results()
(result,) = results[agent.role]
assert isinstance(result, AgentEvaluationResult)
assert result.metrics == {}
assert result.agent_id == str(agent.id)
assert result.task_id == str(task.id)
assert result.metrics == {}

210
lib/crewai/tests/telemetry/test_execution_span_assignment.py Normal file
View File

@@ -0,0 +1,210 @@
"""Test that crew execution span is properly assigned during kickoff."""
import os
import threading
import pytest
from crewai import Agent, Crew, Task
from crewai.events.event_bus import crewai_event_bus
from crewai.events.event_listener import EventListener
from crewai.telemetry import Telemetry
@pytest.fixture(autouse=True)
def cleanup_singletons():
"""Reset singletons between tests and enable telemetry."""
original_telemetry = os.environ.get("CREWAI_DISABLE_TELEMETRY")
original_otel = os.environ.get("OTEL_SDK_DISABLED")
os.environ["CREWAI_DISABLE_TELEMETRY"] = "false"
os.environ["OTEL_SDK_DISABLED"] = "false"
with crewai_event_bus._rwlock.w_locked():
crewai_event_bus._sync_handlers.clear()
crewai_event_bus._async_handlers.clear()
Telemetry._instance = None
EventListener._instance = None
if hasattr(Telemetry, "_lock"):
Telemetry._lock = threading.Lock()
yield
with crewai_event_bus._rwlock.w_locked():
crewai_event_bus._sync_handlers.clear()
crewai_event_bus._async_handlers.clear()
if original_telemetry is not None:
os.environ["CREWAI_DISABLE_TELEMETRY"] = original_telemetry
else:
os.environ.pop("CREWAI_DISABLE_TELEMETRY", None)
if original_otel is not None:
os.environ["OTEL_SDK_DISABLED"] = original_otel
else:
os.environ.pop("OTEL_SDK_DISABLED", None)
Telemetry._instance = None
EventListener._instance = None
if hasattr(Telemetry, "_lock"):
Telemetry._lock = threading.Lock()
@pytest.mark.vcr()
def test_crew_execution_span_assigned_on_kickoff():
"""Test that _execution_span is assigned to crew after kickoff.
The bug: event_listener.py calls crew_execution_span() but doesn't assign
the returned span to source._execution_span, causing end_crew() to fail
when it tries to access crew._execution_span.
"""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm="gpt-4o-mini",
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
crew.kickoff()
# The critical check: verify the crew has _execution_span set
# This is what end_crew() needs to properly close the span
assert crew._execution_span is not None, (
"crew._execution_span should be set after kickoff when share_crew=True. "
"The event_listener.py must assign the return value of crew_execution_span() "
"to source._execution_span."
)
@pytest.mark.vcr()
def test_end_crew_receives_valid_execution_span():
"""Test that end_crew receives a valid execution span to close.
This verifies the complete lifecycle: span creation, assignment, and closure
without errors when end_crew() accesses crew._execution_span.
"""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm="gpt-4o-mini",
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
result = crew.kickoff()
assert crew._execution_span is not None
assert result is not None
@pytest.mark.vcr()
def test_crew_execution_span_not_set_when_share_crew_false():
"""Test that _execution_span is None when share_crew=False.
When share_crew is False, crew_execution_span() returns None,
so _execution_span should not be set.
"""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm="gpt-4o-mini",
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=False,
)
crew.kickoff()
assert (
not hasattr(crew, "_execution_span") or crew._execution_span is None
), "crew._execution_span should be None when share_crew=False"
@pytest.mark.vcr()
@pytest.mark.asyncio
async def test_crew_execution_span_assigned_on_kickoff_async():
"""Test that _execution_span is assigned during async kickoff.
Verifies that the async execution path also properly assigns
the execution span.
"""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm="gpt-4o-mini",
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
await crew.kickoff_async()
assert crew._execution_span is not None, (
"crew._execution_span should be set after kickoff_async when share_crew=True"
)
@pytest.mark.vcr()
def test_crew_execution_span_assigned_on_kickoff_for_each():
"""Test that _execution_span is assigned for each crew execution.
Verifies that batch execution properly assigns execution spans
for each input.
"""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm="gpt-4o-mini",
)
task = Task(
description="Say hello to {name}",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
inputs = [{"name": "Alice"}, {"name": "Bob"}]
results = crew.kickoff_for_each(inputs)
assert len(results) == 2

302
lib/crewai/tests/telemetry/test_flow_crew_span_integration.py Normal file
View File

@@ -0,0 +1,302 @@
"""Test that crew execution spans work correctly when crews run inside flows.
Note: These tests use mocked LLM responses instead of VCR cassettes because
VCR's httpx async stubs have a known incompatibility with the OpenAI client
when running inside asyncio.run() (which Flow.kickoff() uses). The VCR
assertion `assert not hasattr(resp, "_decoder")` fails silently when the
OpenAI client reads responses before VCR can serialize them.
"""
import os
import threading
from unittest.mock import Mock
import pytest
from pydantic import BaseModel
from crewai import Agent, Crew, Task, LLM
from crewai.events.event_listener import EventListener
from crewai.flow.flow import Flow, listen, start
from crewai.telemetry import Telemetry
from crewai.types.usage_metrics import UsageMetrics
class SimpleState(BaseModel):
"""Simple state for flow testing."""
result: str = ""
def create_mock_llm() -> Mock:
"""Create a mock LLM that returns a simple response.
The mock includes all attributes required by the telemetry system,
particularly the 'model' attribute which is accessed during span creation.
"""
mock_llm = Mock(spec=LLM)
mock_llm.call.return_value = "Hello! This is a test response."
mock_llm.stop = []
mock_llm.model = "gpt-4o-mini" # Required by telemetry
mock_llm.supports_stop_words.return_value = True
mock_llm.get_token_usage_summary.return_value = UsageMetrics(
total_tokens=100,
prompt_tokens=50,
completion_tokens=50,
cached_prompt_tokens=0,
successful_requests=1,
)
return mock_llm
@pytest.fixture(autouse=True)
def enable_telemetry_for_tests():
"""Enable telemetry for these tests and reset singletons."""
from crewai.events.event_bus import crewai_event_bus
original_telemetry = os.environ.get("CREWAI_DISABLE_TELEMETRY")
original_otel = os.environ.get("OTEL_SDK_DISABLED")
os.environ["CREWAI_DISABLE_TELEMETRY"] = "false"
os.environ["OTEL_SDK_DISABLED"] = "false"
with crewai_event_bus._rwlock.w_locked():
crewai_event_bus._sync_handlers.clear()
crewai_event_bus._async_handlers.clear()
Telemetry._instance = None
EventListener._instance = None
if hasattr(Telemetry, "_lock"):
Telemetry._lock = threading.Lock()
yield
with crewai_event_bus._rwlock.w_locked():
crewai_event_bus._sync_handlers.clear()
crewai_event_bus._async_handlers.clear()
Telemetry._instance = None
EventListener._instance = None
if hasattr(Telemetry, "_lock"):
Telemetry._lock = threading.Lock()
if original_telemetry is not None:
os.environ["CREWAI_DISABLE_TELEMETRY"] = original_telemetry
else:
os.environ.pop("CREWAI_DISABLE_TELEMETRY", None)
if original_otel is not None:
os.environ["OTEL_SDK_DISABLED"] = original_otel
else:
os.environ.pop("OTEL_SDK_DISABLED", None)
def test_crew_execution_span_in_flow_with_share_crew():
"""Test that crew._execution_span is properly set when crew runs inside a flow.
This verifies that when a crew is kicked off inside a flow method with
share_crew=True, the execution span is properly assigned and closed without
errors.
"""
mock_llm = create_mock_llm()
class SampleFlow(Flow[SimpleState]):
@start()
def run_crew(self):
"""Run a crew inside the flow."""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm=mock_llm,
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
result = crew.kickoff()
assert crew._execution_span is not None, (
"crew._execution_span should be set after kickoff even when "
"crew runs inside a flow method"
)
self.state.result = str(result.raw)
return self.state.result
flow = SampleFlow()
flow.kickoff()
assert flow.state.result != ""
mock_llm.call.assert_called()
def test_crew_execution_span_not_set_in_flow_without_share_crew():
"""Test that crew._execution_span is None when share_crew=False in flow.
Verifies that when a crew runs inside a flow with share_crew=False,
no execution span is created.
"""
mock_llm = create_mock_llm()
class SampleTestFlowNotSet(Flow[SimpleState]):
@start()
def run_crew(self):
"""Run a crew inside the flow without sharing."""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm=mock_llm,
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=False,
)
result = crew.kickoff()
assert (
not hasattr(crew, "_execution_span") or crew._execution_span is None
), "crew._execution_span should be None when share_crew=False"
self.state.result = str(result.raw)
return self.state.result
flow = SampleTestFlowNotSet()
flow.kickoff()
assert flow.state.result != ""
mock_llm.call.assert_called()
def test_multiple_crews_in_flow_span_lifecycle():
"""Test that multiple crews in a flow each get proper execution spans.
This ensures that when multiple crews are executed sequentially in different
flow methods, each crew gets its own execution span properly assigned and closed.
"""
mock_llm_1 = create_mock_llm()
mock_llm_1.call.return_value = "First crew result"
mock_llm_2 = create_mock_llm()
mock_llm_2.call.return_value = "Second crew result"
class SampleMultiCrewFlow(Flow[SimpleState]):
@start()
def first_crew(self):
"""Run first crew."""
agent = Agent(
role="first agent",
goal="first task",
backstory="first agent",
llm=mock_llm_1,
)
task = Task(
description="First task",
expected_output="first result",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
result = crew.kickoff()
assert crew._execution_span is not None
return str(result.raw)
@listen(first_crew)
def second_crew(self, first_result: str):
"""Run second crew."""
agent = Agent(
role="second agent",
goal="second task",
backstory="second agent",
llm=mock_llm_2,
)
task = Task(
description="Second task",
expected_output="second result",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
result = crew.kickoff()
assert crew._execution_span is not None
self.state.result = f"{first_result} + {result.raw}"
return self.state.result
flow = SampleMultiCrewFlow()
flow.kickoff()
assert flow.state.result != ""
assert "+" in flow.state.result
mock_llm_1.call.assert_called()
mock_llm_2.call.assert_called()
@pytest.mark.asyncio
async def test_crew_execution_span_in_async_flow():
"""Test that crew execution spans work in async flow methods.
Verifies that crews executed within async flow methods still properly
assign and close execution spans.
"""
mock_llm = create_mock_llm()
class AsyncTestFlow(Flow[SimpleState]):
@start()
async def run_crew_async(self):
"""Run a crew inside an async flow method."""
agent = Agent(
role="test agent",
goal="say hello",
backstory="a friendly agent",
llm=mock_llm,
)
task = Task(
description="Say hello",
expected_output="hello",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
share_crew=True,
)
result = crew.kickoff()
assert crew._execution_span is not None, (
"crew._execution_span should be set in async flow method"
)
self.state.result = str(result.raw)
return self.state.result
flow = AsyncTestFlow()
await flow.kickoff_async()
assert flow.state.result != ""
mock_llm.call.assert_called()

12
lib/crewai/tests/telemetry/test_telemetry.py
View File

@@ -19,7 +19,6 @@ def cleanup_telemetry():
Telemetry._lock = threading.Lock()
@pytest.mark.telemetry
@pytest.mark.parametrize(
"env_var,value,expected_ready",
[
@@ -33,13 +32,19 @@ def cleanup_telemetry():
)
def test_telemetry_environment_variables(env_var, value, expected_ready):
"""Test telemetry state with different environment variable configurations."""
with patch.dict(os.environ, {env_var: value}):
# Clear all telemetry-related env vars first, then set only the one being tested
env_overrides = {
"OTEL_SDK_DISABLED": "false",
"CREWAI_DISABLE_TELEMETRY": "false",
"CREWAI_DISABLE_TRACKING": "false",
env_var: value,
}
with patch.dict(os.environ, env_overrides):
with patch("crewai.telemetry.telemetry.TracerProvider"):
telemetry = Telemetry()
assert telemetry.ready is expected_ready
@pytest.mark.telemetry
def test_telemetry_enabled_by_default():
"""Test that telemetry is enabled by default."""
with patch.dict(os.environ, {}, clear=True):
@@ -48,7 +53,6 @@ def test_telemetry_enabled_by_default():
assert telemetry.ready is True
@pytest.mark.telemetry
@patch("crewai.telemetry.telemetry.logger.error")
@patch(
"opentelemetry.exporter.otlp.proto.http.trace_exporter.OTLPSpanExporter.export",

14
lib/crewai/tests/telemetry/test_telemetry_disable.py
View File

@@ -27,10 +27,16 @@ def cleanup_telemetry():
)
def test_telemetry_environment_variables(env_var, value, expected_ready):
"""Test telemetry state with different environment variable configurations."""
with patch.dict(os.environ, {env_var: value}):
with patch("crewai.telemetry.telemetry.TracerProvider"):
telemetry = Telemetry()
assert telemetry.ready is expected_ready
# Clear all telemetry-related env vars first, then set the one under test
clean_env = {
"OTEL_SDK_DISABLED": "false",
"CREWAI_DISABLE_TELEMETRY": "false",
"CREWAI_DISABLE_TRACKING": "false",
env_var: value,
}
with patch.dict(os.environ, clean_env):
telemetry = Telemetry()
assert telemetry.ready is expected_ready
@pytest.mark.telemetry