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https://github.com/crewAIInc/crewAI.git
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Refactor agent tests to update model versions and improve response formatting in YAML cassettes. Changed model references from 'o1-preview' to 'o3-mini' and adjusted interaction formats for consistency. Enhanced error handling in context length tests and refined mock setups for better clarity.
This commit is contained in:
@@ -9,7 +9,7 @@ import pytest
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from crewai import Agent, Crew, Task
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from crewai.agents.cache import CacheHandler
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from crewai.agents.crew_agent_executor import AgentFinish, CrewAgentExecutor
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from crewai.agents.parser import AgentAction, CrewAgentParser, OutputParserException
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from crewai.agents.parser import CrewAgentParser, OutputParserException
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from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
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from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
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from crewai.llm import LLM
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@@ -18,7 +18,6 @@ from crewai.tools.tool_calling import InstructorToolCalling
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from crewai.tools.tool_usage import ToolUsage
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from crewai.utilities import RPMController
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from crewai.utilities.events import crewai_event_bus
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from crewai.utilities.events.llm_events import LLMStreamChunkEvent
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from crewai.utilities.events.tool_usage_events import ToolUsageFinishedEvent
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@@ -375,7 +374,7 @@ def test_agent_powered_by_new_o_model_family_that_allows_skipping_tool():
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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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llm="o1-preview",
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llm=LLM(model="o3-mini"),
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max_iter=3,
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use_system_prompt=False,
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allow_delegation=False,
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@@ -401,7 +400,7 @@ def test_agent_powered_by_new_o_model_family_that_uses_tool():
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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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llm="o1-preview",
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llm="o3-mini",
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max_iter=3,
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use_system_prompt=False,
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allow_delegation=False,
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@@ -1305,46 +1304,55 @@ def test_llm_call_with_error():
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_handle_context_length_exceeds_limit():
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# Import necessary modules
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from crewai.utilities.agent_utils import handle_context_length
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from crewai.utilities.i18n import I18N
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from crewai.utilities.printer import Printer
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# Create mocks for dependencies
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printer = Printer()
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i18n = I18N()
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# Create an agent just for its LLM
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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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)
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original_action = AgentAction(
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tool="test_tool",
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tool_input="test_input",
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text="test_log",
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thought="test_thought",
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respect_context_window=True,
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)
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with patch.object(
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CrewAgentExecutor, "invoke", wraps=agent.agent_executor.invoke
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) as private_mock:
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task = Task(
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description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool.",
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expected_output="The final answer",
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)
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agent.execute_task(
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task=task,
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)
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private_mock.assert_called_once()
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with patch.object(
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CrewAgentExecutor, "_handle_context_length"
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) as mock_handle_context:
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mock_handle_context.side_effect = ValueError(
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"Context length limit exceeded"
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llm = agent.llm
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# Create test messages
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messages = [
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{
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"role": "user",
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"content": "This is a test message that would exceed context length",
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}
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]
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# Set up test parameters
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respect_context_window = True
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callbacks = []
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# Apply our patch to summarize_messages to force an error
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with patch("crewai.utilities.agent_utils.summarize_messages") as mock_summarize:
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mock_summarize.side_effect = ValueError("Context length limit exceeded")
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# Directly call handle_context_length with our parameters
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with pytest.raises(ValueError) as excinfo:
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handle_context_length(
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respect_context_window=respect_context_window,
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printer=printer,
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messages=messages,
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llm=llm,
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callbacks=callbacks,
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i18n=i18n,
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)
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long_input = "This is a very long input. " * 10000
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# Attempt to handle context length, expecting the mocked error
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with pytest.raises(ValueError) as excinfo:
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agent.agent_executor._handle_context_length(
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[(original_action, long_input)]
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)
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assert "Context length limit exceeded" in str(excinfo.value)
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mock_handle_context.assert_called_once()
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# Verify our patch was called and raised the correct error
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assert "Context length limit exceeded" in str(excinfo.value)
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mock_summarize.assert_called_once()
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -1353,7 +1361,7 @@ def test_handle_context_length_exceeds_limit_cli_no():
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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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sliding_context_window=False,
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respect_context_window=False,
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)
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task = Task(description="test task", agent=agent, expected_output="test output")
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@@ -1369,8 +1377,8 @@ def test_handle_context_length_exceeds_limit_cli_no():
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)
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private_mock.assert_called_once()
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pytest.raises(SystemExit)
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with patch.object(
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CrewAgentExecutor, "_handle_context_length"
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with patch(
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"crewai.utilities.agent_utils.handle_context_length"
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) as mock_handle_context:
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mock_handle_context.assert_not_called()
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@@ -2,40 +2,37 @@ interactions:
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- request:
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body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour
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personal goal is: test goal\nYou ONLY have access to the following tools, and
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should NEVER make up tools that are not listed here:\n\nTool Name: multiplier(*args:
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Any, **kwargs: Any) -> Any\nTool Description: multiplier(first_number: ''integer'',
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second_number: ''integer'') - Useful for when you need to multiply two numbers
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together. \nTool Arguments: {''first_number'': {''title'': ''First Number'',
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''type'': ''integer''}, ''second_number'': {''title'': ''Second Number'', ''type'':
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''integer''}}\n\nUse the following format:\n\nThought: you should always think
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about what to do\nAction: the action to take, only one name of [multiplier],
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just the name, exactly as it''s written.\nAction Input: the input to the action,
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just a simple python dictionary, enclosed in curly braces, using \" to wrap
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keys and values.\nObservation: the result of the action\n\nOnce all necessary
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information is gathered:\n\nThought: I now know the final answer\nFinal Answer:
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the final answer to the original input question\n\nCurrent Task: What is 3 times
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4?\n\nThis is the expect criteria for your final answer: The result of the multiplication.\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": "o1-preview"}'
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should NEVER make up tools that are not listed here:\n\nTool Name: multiplier\nTool
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in your response:\n\n```\nThought: you should always think about what to do\nAction:
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the action to take, only one name of [multiplier], just the name, exactly as
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it''s written.\nAction Input: the input to the action, just a simple JSON object,
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the following format:\n\n```\nThought: I now know the final answer\nFinal Answer:
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the final answer to the original input question\n```\nCurrent Task: What is
|
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answer, not a summary.\n\nBegin! This is VERY important to you, use the tools
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