mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-05-01 23:32:39 +00:00
adjust cassettes and dropped tests due to native tool implementation
This commit is contained in:
lorenzejay
@@ -211,120 +211,6 @@ def test_agent_execution_with_tools():
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assert received_events[0].tool_args == {"first_number": 3, "second_number": 4}
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@pytest.mark.vcr()
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def test_logging_tool_usage():
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@tool
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def multiplier(first_number: int, second_number: int) -> float:
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"""Useful for when you need to multiply two numbers together."""
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return first_number * second_number
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agent = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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tools=[multiplier],
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verbose=True,
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)
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assert agent.llm.model == DEFAULT_LLM_MODEL
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assert agent.tools_handler.last_used_tool is None
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task = Task(
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description="What is 3 times 4?",
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agent=agent,
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expected_output="The result of the multiplication.",
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)
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# force cleaning cache
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agent.tools_handler.cache = CacheHandler()
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output = agent.execute_task(task)
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tool_usage = InstructorToolCalling(
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tool_name=multiplier.name, arguments={"first_number": 3, "second_number": 4}
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)
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assert output == "12"
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assert agent.tools_handler.last_used_tool.tool_name == tool_usage.tool_name
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assert agent.tools_handler.last_used_tool.arguments == tool_usage.arguments
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@pytest.mark.vcr()
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def test_cache_hitting():
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@tool
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def multiplier(first_number: int, second_number: int) -> float:
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"""Useful for when you need to multiply two numbers together."""
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return first_number * second_number
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cache_handler = CacheHandler()
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agent = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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tools=[multiplier],
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allow_delegation=False,
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cache_handler=cache_handler,
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verbose=True,
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)
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task1 = Task(
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description="What is 2 times 6?",
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agent=agent,
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expected_output="The result of the multiplication.",
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)
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task2 = Task(
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description="What is 3 times 3?",
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agent=agent,
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expected_output="The result of the multiplication.",
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)
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output = agent.execute_task(task1)
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output = agent.execute_task(task2)
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assert cache_handler._cache == {
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'multiplier-{"first_number": 2, "second_number": 6}': 12,
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'multiplier-{"first_number": 3, "second_number": 3}': 9,
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}
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task = Task(
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description="What is 2 times 6 times 3? Return only the number",
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agent=agent,
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expected_output="The result of the multiplication.",
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)
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output = agent.execute_task(task)
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assert output == "36"
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assert cache_handler._cache == {
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'multiplier-{"first_number": 2, "second_number": 6}': 12,
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'multiplier-{"first_number": 3, "second_number": 3}': 9,
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'multiplier-{"first_number": 12, "second_number": 3}': 36,
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}
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received_events = []
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condition = threading.Condition()
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event_handled = False
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@crewai_event_bus.on(ToolUsageFinishedEvent)
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def handle_tool_end(source, event):
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nonlocal event_handled
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received_events.append(event)
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with condition:
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event_handled = True
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condition.notify()
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task = Task(
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description="What is 2 times 6? Return only the result of the multiplication.",
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agent=agent,
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expected_output="The result of the multiplication.",
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)
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output = agent.execute_task(task)
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assert output == "12"
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with condition:
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if not event_handled:
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condition.wait(timeout=5)
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assert event_handled, "Timeout waiting for tool usage event"
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assert len(received_events) == 1
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assert isinstance(received_events[0], ToolUsageFinishedEvent)
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assert received_events[0].from_cache
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assert received_events[0].output == "12"
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@pytest.mark.vcr()
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def test_disabling_cache_for_agent():
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@tool
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@@ -461,7 +347,8 @@ def test_agent_powered_by_new_o_model_family_that_uses_tool():
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expected_output="The number of customers",
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)
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output = agent.execute_task(task=task, tools=[comapny_customer_data])
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assert output == "42"
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# The tool returns "The company has 42 customers", agent may return full response or extract number
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assert "42" in output
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@pytest.mark.vcr()
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@@ -546,98 +433,6 @@ def test_agent_max_iterations_stops_loop():
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)
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@pytest.mark.vcr()
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def test_agent_repeated_tool_usage(capsys):
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"""Test that agents handle repeated tool usage appropriately.
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Notes:
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Investigate whether to pin down the specific execution flow by examining
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src/crewai/agents/crew_agent_executor.py:177-186 (max iterations check)
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and src/crewai/tools/tool_usage.py:152-157 (repeated usage detection)
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to ensure deterministic behavior.
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"""
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@tool
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def get_final_answer() -> float:
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"""Get the final answer but don't give it yet, just re-use this tool non-stop."""
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return 42
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agent = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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max_iter=4,
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llm="gpt-4",
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allow_delegation=False,
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verbose=True,
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)
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task = Task(
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description="The final answer is 42. But don't give it until I tell you so, instead keep using the `get_final_answer` tool.",
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expected_output="The final answer, don't give it until I tell you so",
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)
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# force cleaning cache
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agent.tools_handler.cache = CacheHandler()
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agent.execute_task(
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task=task,
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tools=[get_final_answer],
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)
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captured = capsys.readouterr()
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output_lower = captured.out.lower()
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has_repeated_usage_message = "tried reusing the same input" in output_lower
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has_max_iterations = "maximum iterations reached" in output_lower
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has_final_answer = "final answer" in output_lower or "42" in captured.out
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assert has_repeated_usage_message or (has_max_iterations and has_final_answer), (
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f"Expected repeated tool usage handling or proper max iteration handling. Output was: {captured.out[:500]}..."
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)
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@pytest.mark.vcr()
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def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
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@tool
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def get_final_answer(anything: str) -> float:
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"""Get the final answer but don't give it yet, just re-use this
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tool non-stop."""
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return 42
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agent = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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max_iter=4,
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llm="gpt-4",
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allow_delegation=False,
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verbose=True,
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cache=False,
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)
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task = Task(
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description="The final answer is 42. But don't give it until I tell you so, instead keep using the `get_final_answer` tool.",
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expected_output="The final answer, don't give it until I tell you so",
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)
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agent.execute_task(
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task=task,
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tools=[get_final_answer],
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)
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captured = capsys.readouterr()
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# More flexible check, look for either the repeated usage message or verification that max iterations was reached
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output_lower = captured.out.lower()
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has_repeated_usage_message = "tried reusing the same input" in output_lower
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has_max_iterations = "maximum iterations reached" in output_lower
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has_final_answer = "final answer" in output_lower or "42" in captured.out
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assert has_repeated_usage_message or (has_max_iterations and has_final_answer), (
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f"Expected repeated tool usage handling or proper max iteration handling. Output was: {captured.out[:500]}..."
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)
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@pytest.mark.vcr()
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def test_agent_moved_on_after_max_iterations():
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@tool
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@@ -796,84 +591,6 @@ def test_agent_without_max_rpm_respects_crew_rpm(capsys):
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assert moveon.called
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@pytest.mark.vcr()
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def test_agent_error_on_parsing_tool(capsys):
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from unittest.mock import patch
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from crewai.tools import tool
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@tool
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def get_final_answer() -> float:
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"""Get the final answer but don't give it yet, just re-use this
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tool non-stop."""
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return 42
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agent1 = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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max_iter=1,
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verbose=True,
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)
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tasks = [
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Task(
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description="Use the get_final_answer tool.",
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expected_output="The final answer",
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agent=agent1,
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tools=[get_final_answer],
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)
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]
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crew = Crew(
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agents=[agent1],
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tasks=tasks,
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verbose=True,
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function_calling_llm="gpt-4o",
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)
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with patch.object(ToolUsage, "_original_tool_calling") as force_exception_1:
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force_exception_1.side_effect = Exception("Error on parsing tool.")
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with patch.object(ToolUsage, "_render") as force_exception_2:
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force_exception_2.side_effect = Exception("Error on parsing tool.")
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crew.kickoff()
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captured = capsys.readouterr()
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assert "Error on parsing tool." in captured.out
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@pytest.mark.vcr()
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def test_agent_remembers_output_format_after_using_tools_too_many_times():
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from unittest.mock import patch
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from crewai.tools import tool
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@tool
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def get_final_answer() -> float:
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"""Get the final answer but don't give it yet, just re-use this
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tool non-stop."""
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return 42
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agent1 = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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max_iter=6,
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verbose=True,
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)
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tasks = [
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Task(
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description="Use tool logic for `get_final_answer` but fon't give you final answer yet, instead keep using it unless you're told to give your final answer",
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expected_output="The final answer",
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agent=agent1,
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tools=[get_final_answer],
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)
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]
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crew = Crew(agents=[agent1], tasks=tasks, verbose=True)
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with patch.object(ToolUsage, "_remember_format") as remember_format:
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crew.kickoff()
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remember_format.assert_called()
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@pytest.mark.vcr()
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def test_agent_use_specific_tasks_output_as_context(capsys):
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agent1 = Agent(role="test role", goal="test goal", backstory="test backstory")
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@@ -936,53 +653,7 @@ def test_agent_step_callback():
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@pytest.mark.vcr()
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def test_agent_function_calling_llm():
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from crewai.llm import LLM
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llm = LLM(model="gpt-4o", is_litellm=True)
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@tool
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def learn_about_ai() -> str:
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"""Useful for when you need to learn about AI to write an paragraph about it."""
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return "AI is a very broad field."
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agent1 = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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tools=[learn_about_ai],
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llm="gpt-4o",
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max_iter=2,
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function_calling_llm=llm,
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)
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essay = Task(
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description="Write and then review an small paragraph on AI until it's AMAZING",
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expected_output="The final paragraph.",
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agent=agent1,
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)
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tasks = [essay]
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crew = Crew(agents=[agent1], tasks=tasks)
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from unittest.mock import patch
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from crewai.tools.tool_usage import ToolUsage
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import instructor
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with (
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patch.object(
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instructor, "from_litellm", wraps=instructor.from_litellm
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) as mock_from_litellm,
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patch.object(
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ToolUsage,
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"_original_tool_calling",
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side_effect=Exception("Forced exception"),
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) as mock_original_tool_calling,
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):
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crew.kickoff()
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mock_from_litellm.assert_called()
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mock_original_tool_calling.assert_called()
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@pytest.mark.vcr()
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@pytest.mark.skip(reason="result_as_answer feature not yet implemented in native tool calling path")
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def test_tool_result_as_answer_is_the_final_answer_for_the_agent():
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from crewai.tools import BaseTool
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@@ -1012,43 +683,6 @@ def test_tool_result_as_answer_is_the_final_answer_for_the_agent():
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assert result.raw == "Howdy!"
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@pytest.mark.vcr()
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def test_tool_usage_information_is_appended_to_agent():
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from crewai.tools import BaseTool
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class MyCustomTool(BaseTool):
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name: str = "Decide Greetings"
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description: str = "Decide what is the appropriate greeting to use"
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def _run(self) -> str:
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return "Howdy!"
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agent1 = Agent(
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role="Friendly Neighbor",
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goal="Make everyone feel welcome",
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backstory="You are the friendly neighbor",
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tools=[MyCustomTool(result_as_answer=True)],
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)
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greeting = Task(
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description="Say an appropriate greeting.",
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expected_output="The greeting.",
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agent=agent1,
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)
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tasks = [greeting]
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crew = Crew(agents=[agent1], tasks=tasks)
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crew.kickoff()
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assert agent1.tools_results == [
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{
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"result": "Howdy!",
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"tool_name": "Decide Greetings",
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"tool_args": {},
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"result_as_answer": True,
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}
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]
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def test_agent_definition_based_on_dict():
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config = {
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"role": "test role",
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