updating tests

tests/agent_test.py

@@ -267,7 +267,7 @@ def test_agent_repeated_tool_usage(capsys):
     captured = capsys.readouterr()
 
     assert (
-        "I just used the get_final_answer tool with input 42. So I already know that and must stop using it in a row with the same input. \nI could give my final answer if I'm ready, using exaclty the expected format bellow: \n\nThought: Do I need to use a tool? No\nFinal Answer: [your response here]\n"
+        "I have already used the get_final_answer tool with input 42. So I already know that and must stop using it in a row with the same input. \nI could give my final answer if I'm ready, using exaclty the expected format bellow: \n\nThought: Do I need to use a tool? No\nFinal Answer: [your response here]\n"
         in captured.out
     )
 

tests/cassettes/test_agent_respect_the_max_rpm_set.yaml

@@ -923,7 +923,7 @@ interactions:
       I''m ready, using exaclty the expected format bellow: \n\nThought: Do I need
       to use a tool? No\nFinal Answer: [your response here]\n\nThought: Do I need
       to use a tool? Yes\nAction: get_final_answer\nAction Input: 42\nObservation:
-      I just used the get_final_answer tool with input 42. So I already know that
+      I have already used the get_final_answer tool with input 42. So I already know that
       and must stop using it in a row with the same input. \nI could give my final
       answer if I''m ready, using exaclty the expected format bellow: \n\nThought:
       Do I need to use a tool? No\nFinal Answer: [your response here]\n\n\nTOOLS:\n------\nYou
@@ -1126,7 +1126,7 @@ interactions:
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       to use a tool? No\nFinal Answer: [your response here]\n\nThought: Do I need
       to use a tool? Yes\nAction: get_final_answer\nAction Input: 42\nObservation:
-      I just used the get_final_answer tool with input 42. So I already know that
+      I have already used the get_final_answer tool with input 42. So I already know that
       and must stop using it in a row with the same input. \nI could give my final
       answer if I''m ready, using exaclty the expected format bellow: \n\nThought:
       Do I need to use a tool? No\nFinal Answer: [your response here]\n\n\nTOOLS:\n------\nYou

tests/cassettes/test_output_json.yaml

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tests/task_test.py

@@ -2,8 +2,11 @@
 
 from unittest.mock import MagicMock, patch
 
-from crewai.agent import Agent
-from crewai.task import Task
+import pytest
+from pydantic import BaseModel
+from pydantic_core import ValidationError
+
+from crewai import Agent, Crew, Task
 
 
 def test_task_tool_reflect_agent_tools():
@@ -136,3 +139,206 @@ def test_async_execution():
     with patch.object(Agent, "execute_task", return_value="ok") as execute:
         task.execute(agent=researcher)
         execute.assert_called_once_with(task=task, context=None, tools=[])
+
+
+def test_multiple_output_type_error():
+    class Output(BaseModel):
+        field: str
+
+    with pytest.raises(ValidationError):
+        Task(
+            description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
+            expected_output="Bullet point list of 5 interesting ideas.",
+            output_json=Output,
+            output_pydantic=Output,
+        )
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_output_pydantic():
+    class ScoreOutput(BaseModel):
+        score: int
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_pydantic=ScoreOutput,
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task])
+    result = crew.kickoff()
+    assert isinstance(result, ScoreOutput)
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_output_json():
+    class ScoreOutput(BaseModel):
+        score: int
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_json=ScoreOutput,
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task])
+    result = crew.kickoff()
+    assert '{\n  "score": 4\n}' == result
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_output_pydantic_to_another_task():
+    class ScoreOutput(BaseModel):
+        score: int
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task1 = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_pydantic=ScoreOutput,
+        agent=scorer,
+    )
+
+    task2 = Task(
+        description="Given the score the title 'The impact of AI in the future of work' got, give me an integer score between 1-5 for the following title: 'Return of the Jedi'",
+        expected_output="The score of the title.",
+        output_pydantic=ScoreOutput,
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task1, task2])
+    result = crew.kickoff()
+    assert 4 == result.score
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_output_json_to_another_task():
+    class ScoreOutput(BaseModel):
+        score: int
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task1 = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_json=ScoreOutput,
+        agent=scorer,
+    )
+
+    task2 = Task(
+        description="Given the score the title 'The impact of AI in the future of work' got, give me an integer score between 1-5 for the following title: 'Return of the Jedi'",
+        expected_output="The score of the title.",
+        output_json=ScoreOutput,
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task1, task2])
+    result = crew.kickoff()
+    assert '{\n  "score": 5\n}' == result
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_save_task_output():
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_file="score.json",
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task])
+
+    with patch.object(Task, "_save_file") as save_file:
+        save_file.return_value = None
+        crew.kickoff()
+        save_file.assert_called_once()
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_save_task_json_output():
+    class ScoreOutput(BaseModel):
+        score: int
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_file="score.json",
+        output_json=ScoreOutput,
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task])
+
+    with patch.object(Task, "_save_file") as save_file:
+        save_file.return_value = None
+        crew.kickoff()
+        save_file.assert_called_once_with('{\n  "score": 4\n}')
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_save_task_pydantic_output():
+    class ScoreOutput(BaseModel):
+        score: int
+
+    scorer = Agent(
+        role="Scorer",
+        goal="Score the title",
+        backstory="You're an expert scorer, specialized in scoring titles.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'",
+        expected_output="The score of the title.",
+        output_file="score.json",
+        output_pydantic=ScoreOutput,
+        agent=scorer,
+    )
+
+    crew = Crew(agents=[scorer], tasks=[task])
+
+    with patch.object(Task, "_save_file") as save_file:
+        save_file.return_value = None
+        crew.kickoff()
+        save_file.assert_called_once_with('{\n  "score": 4\n}')