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Brandon/new release cleanup (#1918)
* WIP * fixes to match enterprise changes
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@@ -114,35 +114,6 @@ def test_custom_llm_temperature_preservation():
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assert agent.llm.temperature == 0.7
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_agent_execute_task():
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from langchain_openai import ChatOpenAI
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from crewai import Task
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agent = Agent(
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role="Math Tutor",
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goal="Solve math problems accurately",
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backstory="You are an experienced math tutor with a knack for explaining complex concepts simply.",
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llm=ChatOpenAI(temperature=0.7, model="gpt-4o-mini"),
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)
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task = Task(
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description="Calculate the area of a circle with radius 5 cm.",
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expected_output="The calculated area of the circle in square centimeters.",
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agent=agent,
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)
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result = agent.execute_task(task)
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assert result is not None
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assert (
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result
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== "The calculated area of the circle is approximately 78.5 square centimeters."
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)
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assert "square centimeters" in result.lower()
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_agent_execution():
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agent = Agent(
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@@ -1,121 +0,0 @@
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body: '{"messages": [{"role": "system", "content": "You are Math Tutor. You are
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an experienced math tutor with a knack for explaining complex concepts simply.\nYour
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personal goal is: Solve math problems accurately\nTo give my best complete final
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answer to the task use the exact following format:\n\nThought: I now can give
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a great answer\nFinal Answer: Your final answer must be the great and the most
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complete as possible, it must be outcome described.\n\nI MUST use these formats,
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my job depends on it!"}, {"role": "user", "content": "\nCurrent Task: Calculate
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the area of a circle with radius 5 cm.\n\nThis is the expect criteria for your
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final answer: The calculated area of the circle in square centimeters.\nyou
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MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
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This is VERY important to you, use the tools available and give your best Final
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Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o-mini", "temperature":
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0.7}'
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response:
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\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
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\"assistant\",\n \"content\": \"I now can give a great answer\\n\\nTo
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calculate the area of a circle, we use the formula:\\n\\n\\\\[ A = \\\\pi r^2
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\\\\]\\n\\nwhere \\\\( A \\\\) is the area, \\\\( \\\\pi \\\\) (approximately
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3.14), and \\\\( r \\\\) is the radius of the circle.\\n\\nGiven that the radius
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\\\\( r \\\\) is 5 cm, we can substitute this value into the formula:\\n\\n\\\\[
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A = \\\\pi (5 \\\\, \\\\text{cm})^2 \\\\]\\n\\nCalculating this step-by-step:\\n\\n1.
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First, square the radius:\\n \\\\[ (5 \\\\, \\\\text{cm})^2 = 25 \\\\, \\\\text{cm}^2
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\\\\]\\n\\n2. Then, multiply by \\\\( \\\\pi \\\\):\\n \\\\[ A = \\\\pi \\\\times
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25 \\\\, \\\\text{cm}^2 \\\\]\\n\\nUsing the approximate value of \\\\( \\\\pi
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\\\\):\\n \\\\[ A \\\\approx 3.14 \\\\times 25 \\\\, \\\\text{cm}^2 \\\\]\\n
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\ \\\\[ A \\\\approx 78.5 \\\\, \\\\text{cm}^2 \\\\]\\n\\nThus, the area of
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the circle is approximately 78.5 square centimeters.\\n\\nFinal Answer: The
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calculated area of the circle is approximately 78.5 square centimeters.\",\n
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@@ -3480,10 +3480,12 @@ def test_crew_guardrail_feedback_in_context():
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_before_kickoff_callback():
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from crewai.project import CrewBase, agent, before_kickoff, crew, task
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from crewai.project import CrewBase, agent, before_kickoff, task
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@CrewBase
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class TestCrewClass:
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from crewai.project import crew
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agents_config = None
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tasks_config = None
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@@ -3510,7 +3512,7 @@ def test_before_kickoff_callback():
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task = Task(
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description="Test task description",
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expected_output="Test expected output",
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agent=self.my_agent(), # Use the agent instance
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agent=self.my_agent(),
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)
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return task
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@@ -3520,28 +3522,30 @@ def test_before_kickoff_callback():
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test_crew_instance = TestCrewClass()
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crew = test_crew_instance.crew()
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test_crew = test_crew_instance.crew()
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# Verify that the before_kickoff_callbacks are set
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assert len(crew.before_kickoff_callbacks) == 1
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assert len(test_crew.before_kickoff_callbacks) == 1
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# Prepare inputs
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inputs = {"initial": True}
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# Call kickoff
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crew.kickoff(inputs=inputs)
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test_crew.kickoff(inputs=inputs)
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# Check that the before_kickoff function was called and modified inputs
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assert test_crew_instance.inputs_modified
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assert inputs.get("modified") == True
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assert inputs.get("modified")
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_before_kickoff_without_inputs():
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from crewai.project import CrewBase, agent, before_kickoff, crew, task
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from crewai.project import CrewBase, agent, before_kickoff, task
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@CrewBase
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class TestCrewClass:
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from crewai.project import crew
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agents_config = None
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tasks_config = None
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@@ -3579,12 +3583,12 @@ def test_before_kickoff_without_inputs():
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# Instantiate the class
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test_crew_instance = TestCrewClass()
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# Build the crew
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crew = test_crew_instance.crew()
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test_crew = test_crew_instance.crew()
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# Verify that the before_kickoff_callback is registered
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assert len(crew.before_kickoff_callbacks) == 1
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assert len(test_crew.before_kickoff_callbacks) == 1
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# Call kickoff without passing inputs
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output = crew.kickoff()
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test_crew.kickoff()
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# Check that the before_kickoff function was called
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assert test_crew_instance.inputs_modified
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