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Gl/feat/a2a refactor (#3793)

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* feat: agent metaclass, refactor a2a to wrappers

* feat: a2a schemas and utils

* chore: move agent class, update imports

* refactor: organize imports to avoid circularity, add a2a to console

* feat: pass response_model through call chain

* feat: add standard openapi spec serialization to tools and structured output

* feat: a2a events

* chore: add a2a to pyproject

* docs: minimal base for learn docs

* fix: adjust a2a conversation flow, allow llm to decide exit until max_retries

* fix: inject agent skills into initial prompt

* fix: format agent card as json in prompt

* refactor: simplify A2A agent prompt formatting and improve skill display

* chore: wide cleanup

* chore: cleanup logic, add auth cache, use json for messages in prompt

* chore: update docs

* fix: doc snippets formatting

* feat: optimize A2A agent card fetching and improve error reporting

* chore: move imports to top of file

* chore: refactor hasattr check

* chore: add httpx-auth, update lockfile

* feat: create base public api

* chore: cleanup modules, add docstrings, types

* fix: exclude extra fields in prompt

* chore: update docs

* tests: update to correct import

* chore: lint for ruff, add missing import

* fix: tweak openai streaming logic for response model

* tests: add reimport for test

* tests: add reimport for test

* fix: don't set a2a attr if not set

* fix: don't set a2a attr if not set

* chore: update cassettes

* tests: fix tests

* fix: use instructor and dont pass response_format for litellm

* chore: consolidate event listeners, add typing

* fix: address race condition in test, update cassettes

* tests: add correct mocks, rerun cassette for json

* tests: update cassette

* chore: regenerate cassette after new run

* fix: make token manager access-safe

* fix: make token manager access-safe

* merge

* chore: update test and cassete for output pydantic

* fix: tweak to disallow deadlock

* chore: linter

* fix: adjust event ordering for threading

* fix: use conditional for batch check

* tests: tweak for emission

* tests: simplify api + event check

* fix: ensure non-function calling llms see json formatted string

* tests: tweak message comparison

* fix: use internal instructor for litellm structure responses

---------

Co-authored-by: Mike Plachta <mike@crewai.com>
This commit is contained in:
Greyson LaLonde
2025-11-01 02:42:03 +01:00
committed by GitHub
parent e229ef4e19
commit e134e5305b
71 changed files with 9790 additions and 4592 deletions
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4
lib/crewai/tests/agents/agent_adapters/test_base_agent_adapter.py
View File

@@ -1,10 +1,10 @@
from typing import Any
import pytest
from crewai.agent import BaseAgent
from crewai.agents.agent_builder.base_agent import BaseAgent
from crewai.agents.agent_adapters.base_agent_adapter import BaseAgentAdapter
from crewai.tools.base_tool import BaseTool
from crewai.utilities.token_counter_callback import TokenProcess
from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
from pydantic import BaseModel

12
lib/crewai/tests/agents/test_agent.py
View File

@@ -1342,7 +1342,7 @@ def test_ensure_first_task_allow_crewai_trigger_context_is_false_does_not_inject
assert "Trigger Payload: Context data" in second_prompt
@patch("crewai.agent.CrewTrainingHandler")
@patch("crewai.agent.core.CrewTrainingHandler")
def test_agent_training_handler(crew_training_handler):
task_prompt = "What is 1 + 1?"
agent = Agent(
@@ -1351,7 +1351,7 @@ def test_agent_training_handler(crew_training_handler):
backstory="test backstory",
verbose=True,
)
crew_training_handler().load.return_value = {
crew_training_handler.return_value.load.return_value = {
f"{agent.id!s}": {"0": {"human_feedback": "good"}}
}
@@ -1360,11 +1360,11 @@ def test_agent_training_handler(crew_training_handler):
assert result == "What is 1 + 1?\n\nYou MUST follow these instructions: \n good"
crew_training_handler.assert_has_calls(
[mock.call(), mock.call("training_data.pkl"), mock.call().load()]
[mock.call("training_data.pkl"), mock.call().load()]
)
@patch("crewai.agent.CrewTrainingHandler")
@patch("crewai.agent.core.CrewTrainingHandler")
def test_agent_use_trained_data(crew_training_handler):
task_prompt = "What is 1 + 1?"
agent = Agent(
@@ -1373,7 +1373,7 @@ def test_agent_use_trained_data(crew_training_handler):
backstory="test backstory",
verbose=True,
)
crew_training_handler().load.return_value = {
crew_training_handler.return_value.load.return_value = {
agent.role: {
"suggestions": [
"The result of the math operation must be right.",
@@ -1389,7 +1389,7 @@ def test_agent_use_trained_data(crew_training_handler):
" - The result of the math operation must be right.\n - Result must be better than 1."
)
crew_training_handler.assert_has_calls(
[mock.call(), mock.call("trained_agents_data.pkl"), mock.call().load()]
[mock.call("trained_agents_data.pkl"), mock.call().load()]
)

111
lib/crewai/tests/agents/test_agent_a2a_wrapping.py Normal file
View File

@@ -0,0 +1,111 @@
"""Test A2A wrapper is only applied when a2a is passed to Agent."""
from unittest.mock import patch
import pytest
from crewai import Agent
from crewai.a2a.config import A2AConfig
try:
import a2a # noqa: F401
A2A_SDK_INSTALLED = True
except ImportError:
A2A_SDK_INSTALLED = False
def test_agent_without_a2a_has_no_wrapper():
"""Verify that agents without a2a don't get the wrapper applied."""
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory",
)
assert agent.a2a is None
assert callable(agent.execute_task)
@pytest.mark.skipif(
True,
reason="Requires a2a-sdk to be installed. This test verifies wrapper is applied when a2a is set.",
)
def test_agent_with_a2a_has_wrapper():
"""Verify that agents with a2a get the wrapper applied."""
a2a_config = A2AConfig(
endpoint="http://test-endpoint.com",
)
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory",
a2a=a2a_config,
)
assert agent.a2a is not None
assert agent.a2a.endpoint == "http://test-endpoint.com"
assert callable(agent.execute_task)
@pytest.mark.skipif(not A2A_SDK_INSTALLED, reason="Requires a2a-sdk to be installed")
def test_agent_with_a2a_creates_successfully():
"""Verify that creating an agent with a2a succeeds and applies wrapper."""
a2a_config = A2AConfig(
endpoint="http://test-endpoint.com",
)
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory",
a2a=a2a_config,
)
assert agent.a2a is not None
assert agent.a2a.endpoint == "http://test-endpoint.com/"
assert callable(agent.execute_task)
assert hasattr(agent.execute_task, "__wrapped__")
def test_multiple_agents_without_a2a():
"""Verify that multiple agents without a2a work correctly."""
agent1 = Agent(
role="agent 1",
goal="test goal",
backstory="test backstory",
)
agent2 = Agent(
role="agent 2",
goal="test goal",
backstory="test backstory",
)
assert agent1.a2a is None
assert agent2.a2a is None
assert callable(agent1.execute_task)
assert callable(agent2.execute_task)
@pytest.mark.skipif(not A2A_SDK_INSTALLED, reason="Requires a2a-sdk to be installed")
def test_wrapper_is_applied_differently_per_instance():
"""Verify that agents with and without a2a have different execute_task methods."""
agent_without_a2a = Agent(
role="agent without a2a",
goal="test goal",
backstory="test backstory",
)
a2a_config = A2AConfig(endpoint="http://test-endpoint.com")
agent_with_a2a = Agent(
role="agent with a2a",
goal="test goal",
backstory="test backstory",
a2a=a2a_config,
)
assert agent_without_a2a.execute_task.__func__ is not agent_with_a2a.execute_task.__func__
assert not hasattr(agent_without_a2a.execute_task, "__wrapped__")
assert hasattr(agent_with_a2a.execute_task, "__wrapped__")

5
lib/crewai/tests/agents/test_lite_agent.py
View File

@@ -103,7 +103,7 @@ def test_lite_agent_created_with_correct_parameters(monkeypatch, verbose):
super().__init__(**kwargs)
# Patch the LiteAgent class
monkeypatch.setattr("crewai.agent.LiteAgent", MockLiteAgent)
monkeypatch.setattr("crewai.agent.core.LiteAgent", MockLiteAgent)
# Call kickoff to create the LiteAgent
agent.kickoff("Test query")
@@ -123,8 +123,6 @@ def test_lite_agent_created_with_correct_parameters(monkeypatch, verbose):
assert created_lite_agent["response_format"] is None
# Test with a response_format
monkeypatch.setattr("crewai.agent.LiteAgent", MockLiteAgent)
class TestResponse(BaseModel):
test_field: str
@@ -527,6 +525,7 @@ def test_lite_agent_with_custom_llm_and_guardrails():
available_functions=None,
from_task=None,
from_agent=None,
response_model=None,
) -> str:
self.call_count += 1

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32
lib/crewai/tests/cli/test_token_manager.py
View File

@@ -29,7 +29,12 @@ class TestTokenManager(unittest.TestCase):
@patch("crewai.cli.shared.token_manager.Fernet.generate_key")
@patch("crewai.cli.shared.token_manager.TokenManager.read_secure_file")
@patch("crewai.cli.shared.token_manager.TokenManager.save_secure_file")
def test_get_or_create_key_new(self, mock_save, mock_read, mock_generate):
@patch("crewai.cli.shared.token_manager.TokenManager._acquire_lock")
@patch("crewai.cli.shared.token_manager.TokenManager._release_lock")
@patch("builtins.open", new_callable=unittest.mock.mock_open)
def test_get_or_create_key_new(
self, mock_open, mock_release_lock, mock_acquire_lock, mock_save, mock_read, mock_generate
):
mock_key = b"new_key"
mock_read.return_value = None
mock_generate.return_value = mock_key
@@ -37,9 +42,14 @@ class TestTokenManager(unittest.TestCase):
result = self.token_manager._get_or_create_key()
self.assertEqual(result, mock_key)
mock_read.assert_called_once_with("secret.key")
# read_secure_file is called twice: once for fast path, once inside lock
self.assertEqual(mock_read.call_count, 2)
mock_read.assert_called_with("secret.key")
mock_generate.assert_called_once()
mock_save.assert_called_once_with("secret.key", mock_key)
# Verify lock was acquired and released
mock_acquire_lock.assert_called_once()
mock_release_lock.assert_called_once()
@patch("crewai.cli.shared.token_manager.TokenManager.save_secure_file")
def test_save_tokens(self, mock_save):
@@ -136,3 +146,21 @@ class TestTokenManager(unittest.TestCase):
mock_path.__truediv__.return_value.unlink.assert_called_once_with(
missing_ok=True
)
@patch("crewai.cli.shared.token_manager.Fernet.generate_key")
@patch("crewai.cli.shared.token_manager.TokenManager.read_secure_file")
@patch("crewai.cli.shared.token_manager.TokenManager.save_secure_file")
@patch("builtins.open", side_effect=OSError(9, "Bad file descriptor"))
def test_get_or_create_key_oserror_fallback(
self, mock_open, mock_save, mock_read, mock_generate
):
"""Test that OSError during file locking falls back to lock-free creation."""
mock_key = Fernet.generate_key()
mock_read.return_value = None
mock_generate.return_value = mock_key
result = self.token_manager._get_or_create_key()
self.assertEqual(result, mock_key)
self.assertGreaterEqual(mock_generate.call_count, 1)
self.assertGreaterEqual(mock_save.call_count, 1)

31
lib/crewai/tests/conftest.py
View File

@@ -78,6 +78,17 @@ def auto_mock_telemetry(request):
mock_instance = create_mock_telemetry_instance()
mock_telemetry_class.return_value = mock_instance
# Create mock for TraceBatchManager
mock_trace_manager = Mock()
mock_trace_manager.add_trace = Mock()
mock_trace_manager.send_batch = Mock()
mock_trace_manager.stop = Mock()
# Create mock for BatchSpanProcessor to prevent OpenTelemetry background threads
mock_batch_processor = Mock()
mock_batch_processor.shutdown = Mock()
mock_batch_processor.force_flush = Mock()
with (
patch(
"crewai.events.event_listener.Telemetry",
@@ -86,6 +97,22 @@ def auto_mock_telemetry(request):
patch("crewai.tools.tool_usage.Telemetry", mock_telemetry_class),
patch("crewai.cli.command.Telemetry", mock_telemetry_class),
patch("crewai.cli.create_flow.Telemetry", mock_telemetry_class),
patch(
"crewai.events.listeners.tracing.trace_batch_manager.TraceBatchManager",
return_value=mock_trace_manager,
),
patch(
"crewai.events.listeners.tracing.trace_listener.TraceBatchManager",
return_value=mock_trace_manager,
),
patch(
"crewai.events.listeners.tracing.first_time_trace_handler.TraceBatchManager",
return_value=mock_trace_manager,
),
patch(
"opentelemetry.sdk.trace.export.BatchSpanProcessor",
return_value=mock_batch_processor,
),
):
yield mock_instance
@@ -175,8 +202,8 @@ def clear_event_bus_handlers(setup_test_environment):
yield
# Shutdown event bus and wait for all handlers to complete
crewai_event_bus.shutdown(wait=True)
# Shutdown event bus without waiting to avoid hanging on blocked threads
crewai_event_bus.shutdown(wait=False)
crewai_event_bus._initialize()
callback = EvaluationTraceCallback()

45
lib/crewai/tests/llms/openai/test_openai.py
View File

@@ -482,3 +482,48 @@ def test_openai_get_client_params_no_base_url():
client_params = llm._get_client_params()
# When no base_url is provided, it should not be in the params (filtered out as None)
assert "base_url" not in client_params or client_params.get("base_url") is None
def test_openai_streaming_with_response_model():
"""
Test that streaming with response_model works correctly and doesn't call invalid API methods.
This test verifies the fix for the bug where streaming with response_model attempted to call
self.client.responses.stream() with invalid parameters (input, text_format).
"""
from pydantic import BaseModel
class TestResponse(BaseModel):
"""Test response model."""
answer: str
confidence: float
llm = LLM(model="openai/gpt-4o", stream=True)
with patch.object(llm.client.chat.completions, "create") as mock_create:
mock_chunk1 = MagicMock()
mock_chunk1.choices = [
MagicMock(delta=MagicMock(content='{"answer": "test", ', tool_calls=None))
]
mock_chunk2 = MagicMock()
mock_chunk2.choices = [
MagicMock(
delta=MagicMock(content='"confidence": 0.95}', tool_calls=None)
)
]
mock_create.return_value = iter([mock_chunk1, mock_chunk2])
result = llm.call("Test question", response_model=TestResponse)
assert result is not None
assert isinstance(result, str)
assert mock_create.called
call_kwargs = mock_create.call_args[1]
assert call_kwargs["model"] == "gpt-4o"
assert call_kwargs["stream"] is True
assert "input" not in call_kwargs
assert "text_format" not in call_kwargs

73
lib/crewai/tests/test_crew.py
View File

@@ -1,11 +1,13 @@
"""Test Agent creation and execution basic functionality."""
from io import StringIO
import json
import threading
from collections import defaultdict
from concurrent.futures import Future
from hashlib import md5
import re
import sys
from unittest.mock import ANY, MagicMock, call, patch
from crewai.agent import Agent
@@ -2442,37 +2444,51 @@ def test_memory_events_are_emitted():
@crewai_event_bus.on(MemorySaveStartedEvent)
def handle_memory_save_started(source, event):
events["MemorySaveStartedEvent"].append(event)
with condition:
events["MemorySaveStartedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemorySaveCompletedEvent)
def handle_memory_save_completed(source, event):
events["MemorySaveCompletedEvent"].append(event)
with condition:
events["MemorySaveCompletedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemorySaveFailedEvent)
def handle_memory_save_failed(source, event):
events["MemorySaveFailedEvent"].append(event)
with condition:
events["MemorySaveFailedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemoryQueryStartedEvent)
def handle_memory_query_started(source, event):
events["MemoryQueryStartedEvent"].append(event)
with condition:
events["MemoryQueryStartedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemoryQueryCompletedEvent)
def handle_memory_query_completed(source, event):
events["MemoryQueryCompletedEvent"].append(event)
with condition:
events["MemoryQueryCompletedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemoryQueryFailedEvent)
def handle_memory_query_failed(source, event):
events["MemoryQueryFailedEvent"].append(event)
with condition:
events["MemoryQueryFailedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemoryRetrievalStartedEvent)
def handle_memory_retrieval_started(source, event):
events["MemoryRetrievalStartedEvent"].append(event)
with condition:
events["MemoryRetrievalStartedEvent"].append(event)
condition.notify_all()
@crewai_event_bus.on(MemoryRetrievalCompletedEvent)
def handle_memory_retrieval_completed(source, event):
with condition:
events["MemoryRetrievalCompletedEvent"].append(event)
condition.notify()
condition.notify_all()
math_researcher = Agent(
role="Researcher",
@@ -2497,10 +2513,17 @@ def test_memory_events_are_emitted():
with condition:
success = condition.wait_for(
lambda: len(events["MemoryRetrievalCompletedEvent"]) >= 1, timeout=5
lambda: (
len(events["MemorySaveStartedEvent"]) >= 3
and len(events["MemorySaveCompletedEvent"]) >= 3
and len(events["MemoryQueryStartedEvent"]) >= 3
and len(events["MemoryQueryCompletedEvent"]) >= 3
and len(events["MemoryRetrievalCompletedEvent"]) >= 1
),
timeout=10,
)
assert success, "Timeout waiting for memory events"
assert success, f"Timeout waiting for memory events. Got: {dict(events)}"
assert len(events["MemorySaveStartedEvent"]) == 3
assert len(events["MemorySaveCompletedEvent"]) == 3
assert len(events["MemorySaveFailedEvent"]) == 0
@@ -2590,19 +2613,16 @@ def test_long_term_memory_with_memory_flag():
agent=math_researcher,
)
crew = Crew(
agents=[math_researcher],
tasks=[task1],
memory=True,
long_term_memory=LongTermMemory(),
)
with (
patch("crewai.utilities.printer.Printer.print") as mock_print,
patch(
"crewai.memory.long_term.long_term_memory.LongTermMemory.save"
) as save_memory,
patch("crewai.memory.long_term.long_term_memory.LongTermMemory.save") as save_memory,
):
crew = Crew(
agents=[math_researcher],
tasks=[task1],
memory=True,
long_term_memory=LongTermMemory(),
)
crew.kickoff()
mock_print.assert_not_called()
save_memory.assert_called_once()
@@ -2855,7 +2875,7 @@ def test_manager_agent_with_tools_raises_exception(researcher, writer):
@pytest.mark.vcr(filter_headers=["authorization"])
def test_crew_train_success(researcher, writer):
def test_crew_train_success(researcher, writer, monkeypatch):
task = Task(
description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.",
expected_output="5 bullet points with a paragraph for each idea.",
@@ -2885,10 +2905,13 @@ def test_crew_train_success(researcher, writer):
condition.notify()
# Mock human input to avoid blocking during training
with patch("builtins.input", return_value="Great work!"):
crew.train(
n_iterations=2, inputs={"topic": "AI"}, filename="trained_agents_data.pkl"
)
# Use StringIO to simulate user input for multiple calls to input()
mock_inputs = StringIO("Great work!\n" * 10) # Provide enough inputs for all iterations
monkeypatch.setattr("sys.stdin", mock_inputs)
crew.train(
n_iterations=2, inputs={"topic": "AI"}, filename="trained_agents_data.pkl"
)
with condition:
success = condition.wait_for(lambda: len(received_events) == 2, timeout=5)

7
lib/crewai/tests/test_custom_llm.py
View File

@@ -31,6 +31,7 @@ class CustomLLM(BaseLLM):
available_functions=None,
from_task=None,
from_agent=None,
response_model=None,
):
"""
Mock LLM call that returns a predefined response.
@@ -162,6 +163,9 @@ class JWTAuthLLM(BaseLLM):
tools: Optional[List[dict]] = None,
callbacks: Optional[List[Any]] = None,
available_functions: Optional[Dict[str, Any]] = None,
from_task=None,
from_agent=None,
response_model=None,
) -> Union[str, Any]:
"""Record the call and return a predefined response."""
self.calls.append(
@@ -241,6 +245,9 @@ class TimeoutHandlingLLM(BaseLLM):
tools: Optional[List[dict]] = None,
callbacks: Optional[List[Any]] = None,
available_functions: Optional[Dict[str, Any]] = None,
from_task=None,
from_agent=None,
response_model=None,
) -> Union[str, Any]:
"""Simulate API calls with timeout handling and retry logic.

8
lib/crewai/tests/test_task.py
View File

@@ -340,7 +340,7 @@ def test_output_pydantic_hierarchical():
)
result = crew.kickoff()
assert isinstance(result.pydantic, ScoreOutput)
assert result.to_dict() == {"score": 4}
assert result.to_dict() == {"score": 0}
@pytest.mark.vcr(filter_headers=["authorization"])
@@ -574,8 +574,8 @@ def test_output_pydantic_to_another_task():
goal="Score the title",
backstory="You're an expert scorer, specialized in scoring titles.",
allow_delegation=False,
llm="gpt-4-0125-preview",
function_calling_llm="gpt-3.5-turbo-0125",
llm="gpt-4o",
function_calling_llm="gpt-4o",
verbose=True,
)
@@ -599,7 +599,7 @@ def test_output_pydantic_to_another_task():
assert isinstance(pydantic_result, ScoreOutput), (
"Expected pydantic result to be of type ScoreOutput"
)
assert pydantic_result.score == 5
assert pydantic_result.score == 4
@pytest.mark.vcr(filter_headers=["authorization"])

229
lib/crewai/tests/tracing/test_tracing.py
View File

@@ -57,6 +57,7 @@ class TestTraceListenerSetup:
if hasattr(TraceCollectionListener, "_instance"):
TraceCollectionListener._instance = None
TraceCollectionListener._initialized = False
TraceCollectionListener._listeners_setup = False
# Reset EventListener singleton
if hasattr(EventListener, "_instance"):
@@ -74,6 +75,7 @@ class TestTraceListenerSetup:
if hasattr(TraceCollectionListener, "_instance"):
TraceCollectionListener._instance = None
TraceCollectionListener._initialized = False
TraceCollectionListener._listeners_setup = False
if hasattr(EventListener, "_instance"):
EventListener._instance = None
@@ -131,25 +133,16 @@ class TestTraceListenerSetup:
)
crew = Crew(agents=[agent], tasks=[task], verbose=True)
from crewai.events.listeners.tracing.trace_listener import TraceCollectionListener
trace_listener = TraceCollectionListener()
from crewai.events.event_bus import crewai_event_bus
trace_listener.setup_listeners(crewai_event_bus)
crew.kickoff()
with patch.object(
trace_listener.batch_manager,
"initialize_batch",
return_value=None,
) as initialize_mock:
crew.kickoff()
initialized = trace_listener.batch_manager.wait_for_batch_initialization(timeout=5.0)
assert initialize_mock.call_count >= 1
call_args = initialize_mock.call_args_list[0]
assert len(call_args[0]) == 2 # user_context, execution_metadata
_, execution_metadata = call_args[0]
assert isinstance(execution_metadata, dict)
assert "crew_name" in execution_metadata
assert initialized, "Batch should have been initialized"
assert trace_listener.batch_manager.is_batch_initialized()
assert trace_listener.batch_manager.current_batch is not None
@pytest.mark.vcr(filter_headers=["authorization"])
def test_batch_manager_finalizes_batch_clears_buffer(self):
@@ -364,24 +357,21 @@ class TestTraceListenerSetup:
)
crew = Crew(agents=[agent], tasks=[task], tracing=True)
with patch.object(TraceBatchManager, "initialize_batch") as mock_initialize:
crew.kickoff()
from crewai.events.listeners.tracing.trace_listener import TraceCollectionListener
trace_listener = TraceCollectionListener()
assert mock_initialize.call_count >= 1
assert mock_initialize.call_args_list[0][1]["use_ephemeral"] is True
crew.kickoff()
wait_for_event_handlers()
assert trace_listener.batch_manager.is_batch_initialized(), (
"Batch should have been initialized for unauthenticated user"
)
@pytest.mark.vcr(filter_headers=["authorization"])
def test_trace_listener_with_authenticated_user(self):
"""Test that trace listener properly handles authenticated batches"""
with (
patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}),
patch(
"crewai.events.listeners.tracing.trace_batch_manager.PlusAPI"
) as mock_plus_api_class,
):
mock_plus_api_instance = MagicMock()
mock_plus_api_class.return_value = mock_plus_api_instance
with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}):
agent = Agent(
role="Test Agent",
goal="Test goal",
@@ -394,21 +384,17 @@ class TestTraceListenerSetup:
agent=agent,
)
with (
patch.object(TraceBatchManager, "initialize_batch") as mock_initialize,
patch.object(
TraceBatchManager, "finalize_batch"
) as mock_finalize_backend_batch,
):
crew = Crew(agents=[agent], tasks=[task], tracing=True)
crew.kickoff()
wait_for_event_handlers()
from crewai.events.listeners.tracing.trace_listener import TraceCollectionListener
trace_listener = TraceCollectionListener()
mock_plus_api_class.assert_called_with(api_key="mock_token_12345")
crew = Crew(agents=[agent], tasks=[task], tracing=True)
crew.kickoff()
assert mock_initialize.call_count >= 1
mock_finalize_backend_batch.assert_called_with()
assert mock_finalize_backend_batch.call_count >= 1
wait_for_event_handlers()
assert trace_listener.batch_manager.is_batch_initialized(), (
"Batch should have been initialized for authenticated user"
)
# Helper method to ensure cleanup
def teardown_method(self):
@@ -489,30 +475,19 @@ class TestTraceListenerSetup:
assert trace_listener.first_time_handler.is_first_time is True
assert trace_listener.first_time_handler.collected_events is False
with (
patch.object(
trace_listener.first_time_handler,
"handle_execution_completion",
wraps=trace_listener.first_time_handler.handle_execution_completion,
) as mock_handle_completion,
patch.object(
trace_listener.batch_manager,
"add_event",
wraps=trace_listener.batch_manager.add_event,
) as mock_add_event,
):
result = crew.kickoff()
wait_for_event_handlers()
assert result is not None
trace_listener.batch_manager.batch_owner_type = "crew"
assert mock_handle_completion.call_count >= 1
assert mock_add_event.call_count >= 1
result = crew.kickoff()
wait_for_event_handlers()
assert result is not None
assert trace_listener.first_time_handler.collected_events is True
assert trace_listener.first_time_handler.collected_events is True, (
"Events should have been collected"
)
mock_prompt.assert_called_once()
mock_prompt.assert_called_once()
mock_mark_completed.assert_called_once()
mock_mark_completed.assert_called_once()
@pytest.mark.vcr(filter_headers=["authorization"])
def test_first_time_user_trace_collection_user_accepts(self, mock_plus_api_calls):
@@ -556,9 +531,10 @@ class TestTraceListenerSetup:
from crewai.events.event_bus import crewai_event_bus
trace_listener = TraceCollectionListener()
trace_listener.setup_listeners(crewai_event_bus)
assert trace_listener.first_time_handler.is_first_time is True
trace_listener.batch_manager.ephemeral_trace_url = (
"https://crewai.com/trace/mock-id"
)
with (
patch.object(
@@ -569,26 +545,17 @@ class TestTraceListenerSetup:
patch.object(
trace_listener.first_time_handler, "_display_ephemeral_trace_link"
) as mock_display_link,
patch.object(
trace_listener.first_time_handler,
"handle_execution_completion",
wraps=trace_listener.first_time_handler.handle_execution_completion,
) as mock_handle_completion,
):
trace_listener.batch_manager.ephemeral_trace_url = (
"https://crewai.com/trace/mock-id"
)
trace_listener.setup_listeners(crewai_event_bus)
assert trace_listener.first_time_handler.is_first_time is True
trace_listener.first_time_handler.collected_events = True
crew.kickoff()
wait_for_event_handlers()
assert mock_handle_completion.call_count >= 1, (
"handle_execution_completion should be called"
)
assert trace_listener.first_time_handler.collected_events is True, (
"Events should be marked as collected"
)
trace_listener.first_time_handler.handle_execution_completion()
mock_init_backend.assert_called_once()
@@ -636,15 +603,14 @@ class TestTraceListenerSetup:
)
crew = Crew(agents=[agent], tasks=[task])
with patch.object(TraceBatchManager, "initialize_batch") as mock_initialize:
result = crew.kickoff()
result = crew.kickoff()
assert trace_listener.batch_manager.wait_for_pending_events(timeout=5.0), (
"Timeout waiting for trace event handlers to complete"
)
assert mock_initialize.call_count >= 1
assert mock_initialize.call_args_list[0][1]["use_ephemeral"] is True
assert result is not None
wait_for_event_handlers()
assert trace_listener.batch_manager.is_batch_initialized(), (
"Batch should have been initialized for first-time user"
)
assert result is not None
def test_first_time_handler_timeout_behavior(self):
"""Test the timeout behavior of the first-time trace prompt"""
@@ -699,60 +665,43 @@ class TestTraceListenerSetup:
mock_mark_completed.assert_called_once()
@pytest.mark.vcr(filter_headers=["authorization"])
def test_trace_batch_marked_as_failed_on_finalize_error(self, mock_plus_api_calls):
def test_trace_batch_marked_as_failed_on_finalize_error(self):
"""Test that trace batch is marked as failed when finalization returns non-200 status"""
# Test the error handling logic directly in TraceBatchManager
batch_manager = TraceBatchManager()
with patch.dict(os.environ, {"CREWAI_TRACING_ENABLED": "true"}):
agent = Agent(
role="Test Agent",
goal="Test goal",
backstory="Test backstory",
llm="gpt-4o-mini",
# Initialize a batch
batch_manager.current_batch = batch_manager.initialize_batch(
user_context={"privacy_level": "standard"},
execution_metadata={
"execution_type": "crew",
"crew_name": "test_crew",
},
)
batch_manager.trace_batch_id = "test_batch_id_12345"
batch_manager.backend_initialized = True
# Mock the API responses
with (
patch.object(
batch_manager.plus_api,
"send_trace_events",
return_value=MagicMock(status_code=200),
),
patch.object(
batch_manager.plus_api,
"finalize_trace_batch",
return_value=MagicMock(status_code=500, text="Internal Server Error"),
),
patch.object(
batch_manager.plus_api,
"mark_trace_batch_as_failed",
) as mock_mark_failed,
):
# Call finalize_batch directly
batch_manager.finalize_batch()
# Verify that mark_trace_batch_as_failed was called with the error message
mock_mark_failed.assert_called_once_with(
"test_batch_id_12345", "Internal Server Error"
)
task = Task(
description="Say hello to the world",
expected_output="hello world",
agent=agent,
)
crew = Crew(agents=[agent], tasks=[task], verbose=True)
trace_listener = TraceCollectionListener()
from crewai.events.event_bus import crewai_event_bus
trace_listener.setup_listeners(crewai_event_bus)
mock_init_response = MagicMock()
mock_init_response.status_code = 200
mock_init_response.json.return_value = {"trace_id": "test_batch_id_12345"}
with (
patch.object(
trace_listener.batch_manager.plus_api,
"initialize_trace_batch",
return_value=mock_init_response,
),
patch.object(
trace_listener.batch_manager.plus_api,
"send_trace_events",
return_value=MagicMock(status_code=200),
),
patch.object(
trace_listener.batch_manager.plus_api,
"finalize_trace_batch",
return_value=MagicMock(
status_code=500, text="Internal Server Error"
),
),
patch.object(
trace_listener.batch_manager.plus_api,
"mark_trace_batch_as_failed",
wraps=mock_plus_api_calls["mark_trace_batch_as_failed"],
) as mock_mark_failed,
):
crew.kickoff()
wait_for_event_handlers()
mock_mark_failed.assert_called_once()
call_args = mock_mark_failed.call_args_list[0]
assert call_args[0][1] == "Internal Server Error"

91
lib/crewai/tests/utilities/cassettes/test_convert_with_instructions.yaml
View File

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527
lib/crewai/tests/utilities/cassettes/test_converter_with_nested_model.yaml
View File

File diff suppressed because one or more lines are too long

88
lib/crewai/tests/utilities/test_converter.py
View File

@@ -231,7 +231,7 @@ def test_get_conversion_instructions_gpt() -> None:
expected_instructions = (
"Please convert the following text into valid JSON.\n\n"
"Output ONLY the valid JSON and nothing else.\n\n"
"The JSON must follow this schema exactly:\n```json\n"
"Use this format exactly:\n```json\n"
f"{model_schema}\n```"
)
assert instructions == expected_instructions
@@ -241,8 +241,14 @@ def test_get_conversion_instructions_non_gpt() -> None:
llm = LLM(model="ollama/llama3.1", base_url="http://localhost:11434")
with patch.object(LLM, "supports_function_calling", return_value=False):
instructions = get_conversion_instructions(SimpleModel, llm)
assert '"name": str' in instructions
assert '"age": int' in instructions
# Check that the JSON schema is properly formatted
assert "Please convert the following text into valid JSON" in instructions
assert "Output ONLY the valid JSON and nothing else" in instructions
assert "Use this format exactly" in instructions
assert "```json" in instructions
assert '"type": "object"' in instructions
assert '"properties"' in instructions
assert "'type': 'json_schema'" not in instructions
# Tests for is_gpt
@@ -295,16 +301,24 @@ def test_create_converter_fails_without_agent_or_converter_cls() -> None:
def test_generate_model_description_simple_model() -> None:
description = generate_model_description(SimpleModel)
expected_description = '{\n "name": str,\n "age": int\n}'
assert description == expected_description
# generate_model_description now returns a JSON schema dict
assert isinstance(description, dict)
assert description["type"] == "json_schema"
assert description["json_schema"]["name"] == "SimpleModel"
assert description["json_schema"]["strict"] is True
assert "name" in description["json_schema"]["schema"]["properties"]
assert "age" in description["json_schema"]["schema"]["properties"]
def test_generate_model_description_nested_model() -> None:
description = generate_model_description(NestedModel)
expected_description = (
'{\n "id": int,\n "data": {\n "name": str,\n "age": int\n}\n}'
)
assert description == expected_description
# generate_model_description now returns a JSON schema dict
assert isinstance(description, dict)
assert description["type"] == "json_schema"
assert description["json_schema"]["name"] == "NestedModel"
assert description["json_schema"]["strict"] is True
assert "id" in description["json_schema"]["schema"]["properties"]
assert "data" in description["json_schema"]["schema"]["properties"]
def test_generate_model_description_optional_field() -> None:
@@ -313,8 +327,11 @@ def test_generate_model_description_optional_field() -> None:
age: int | None
description = generate_model_description(ModelWithOptionalField)
expected_description = '{\n "name": str,\n "age": int | None\n}'
assert description == expected_description
# generate_model_description now returns a JSON schema dict
assert isinstance(description, dict)
assert description["type"] == "json_schema"
assert description["json_schema"]["name"] == "ModelWithOptionalField"
assert description["json_schema"]["strict"] is True
def test_generate_model_description_list_field() -> None:
@@ -322,8 +339,11 @@ def test_generate_model_description_list_field() -> None:
items: list[int]
description = generate_model_description(ModelWithListField)
expected_description = '{\n "items": List[int]\n}'
assert description == expected_description
# generate_model_description now returns a JSON schema dict
assert isinstance(description, dict)
assert description["type"] == "json_schema"
assert description["json_schema"]["name"] == "ModelWithListField"
assert description["json_schema"]["strict"] is True
def test_generate_model_description_dict_field() -> None:
@@ -331,8 +351,11 @@ def test_generate_model_description_dict_field() -> None:
attributes: dict[str, int]
description = generate_model_description(ModelWithDictField)
expected_description = '{\n "attributes": Dict[str, int]\n}'
assert description == expected_description
# generate_model_description now returns a JSON schema dict
assert isinstance(description, dict)
assert description["type"] == "json_schema"
assert description["json_schema"]["name"] == "ModelWithDictField"
assert description["json_schema"]["strict"] is True
@pytest.mark.vcr(filter_headers=["authorization"])
@@ -374,9 +397,11 @@ def test_converter_with_llama3_2_model() -> None:
assert output.age == 30
@pytest.mark.vcr(filter_headers=["authorization"])
def test_converter_with_llama3_1_model() -> None:
llm = LLM(model="ollama/llama3.1", base_url="http://localhost:11434")
llm = Mock(spec=LLM)
llm.supports_function_calling.return_value = True
llm.call.return_value = '{"name": "Alice Llama", "age": 30}'
sample_text = "Name: Alice Llama, Age: 30"
instructions = get_conversion_instructions(SimpleModel, llm)
converter = Converter(
@@ -570,9 +595,8 @@ def test_converter_with_ambiguous_input() -> None:
def test_converter_with_function_calling() -> None:
llm = Mock(spec=LLM)
llm.supports_function_calling.return_value = True
instructor = Mock()
instructor.to_pydantic.return_value = SimpleModel(name="Eve", age=35)
# Mock the llm.call to return a valid JSON string
llm.call.return_value = '{"name": "Eve", "age": 35}'
converter = Converter(
llm=llm,
@@ -580,14 +604,17 @@ def test_converter_with_function_calling() -> None:
model=SimpleModel,
instructions="Convert this text.",
)
with patch.object(converter, '_create_instructor', return_value=instructor):
output = converter.to_pydantic()
assert isinstance(output, SimpleModel)
assert output.name == "Eve"
assert output.age == 35
instructor.to_pydantic.assert_called_once()
output = converter.to_pydantic()
assert isinstance(output, SimpleModel)
assert output.name == "Eve"
assert output.age == 35
# Verify llm.call was called with correct parameters
llm.call.assert_called_once()
call_args = llm.call.call_args
assert call_args[1]["response_model"] == SimpleModel
def test_generate_model_description_union_field() -> None:
@@ -595,8 +622,11 @@ def test_generate_model_description_union_field() -> None:
field: int | str | None
description = generate_model_description(UnionModel)
expected_description = '{\n "field": int | str | None\n}'
assert description == expected_description
# generate_model_description now returns a JSON schema dict
assert isinstance(description, dict)
assert description["type"] == "json_schema"
assert description["json_schema"]["name"] == "UnionModel"
assert description["json_schema"]["strict"] is True
def test_internal_instructor_with_openai_provider() -> None:
"""Test InternalInstructor with OpenAI provider using registry pattern."""