Merge branch 'main' of github.com:crewAIInc/crewAI into fix/clone_when_using_knowledge

This commit is contained in:
Lorenze Jay
2025-01-27 15:58:46 -08:00
11 changed files with 513 additions and 86 deletions

View File

@@ -1663,7 +1663,7 @@ def test_litellm_auth_error_handling():
agent=agent,
)
# Mock the LLM call to raise LiteLLMAuthenticationError
# Mock the LLM call to raise AuthenticationError
with (
patch.object(LLM, "call") as mock_llm_call,
pytest.raises(LiteLLMAuthenticationError, match="Invalid API key"),
@@ -1679,7 +1679,7 @@ def test_litellm_auth_error_handling():
def test_crew_agent_executor_litellm_auth_error():
"""Test that CrewAgentExecutor handles LiteLLM authentication errors by raising them."""
from litellm import AuthenticationError as LiteLLMAuthenticationError
from litellm.exceptions import AuthenticationError
from crewai.agents.tools_handler import ToolsHandler
from crewai.utilities import Printer
@@ -1712,13 +1712,13 @@ def test_crew_agent_executor_litellm_auth_error():
tools_handler=ToolsHandler(),
)
# Mock the LLM call to raise LiteLLMAuthenticationError
# Mock the LLM call to raise AuthenticationError
with (
patch.object(LLM, "call") as mock_llm_call,
patch.object(Printer, "print") as mock_printer,
pytest.raises(LiteLLMAuthenticationError, match="Invalid API key"),
pytest.raises(AuthenticationError) as exc_info,
):
mock_llm_call.side_effect = LiteLLMAuthenticationError(
mock_llm_call.side_effect = AuthenticationError(
message="Invalid API key", llm_provider="openai", model="gpt-4"
)
executor.invoke(
@@ -1729,14 +1729,53 @@ def test_crew_agent_executor_litellm_auth_error():
}
)
# Verify error handling
# Verify error handling messages
error_message = f"Error during LLM call: {str(mock_llm_call.side_effect)}"
mock_printer.assert_any_call(
content="An unknown error occurred. Please check the details below.",
color="red",
)
mock_printer.assert_any_call(
content="Error details: litellm.AuthenticationError: Invalid API key",
content=error_message,
color="red",
)
# Verify the call was only made once (no retries)
mock_llm_call.assert_called_once()
# Assert that the exception was raised and has the expected attributes
assert exc_info.type is AuthenticationError
assert "Invalid API key".lower() in exc_info.value.message.lower()
assert exc_info.value.llm_provider == "openai"
assert exc_info.value.model == "gpt-4"
def test_litellm_anthropic_error_handling():
"""Test that AnthropicError from LiteLLM is handled correctly and not retried."""
from litellm.llms.anthropic.common_utils import AnthropicError
# Create an agent with a mocked LLM that uses an Anthropic model
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory",
llm=LLM(model="claude-3.5-sonnet-20240620"),
max_retry_limit=0,
)
# Create a task
task = Task(
description="Test task",
expected_output="Test output",
agent=agent,
)
# Mock the LLM call to raise AnthropicError
with (
patch.object(LLM, "call") as mock_llm_call,
pytest.raises(AnthropicError, match="Test Anthropic error"),
):
mock_llm_call.side_effect = AnthropicError(
status_code=500,
message="Test Anthropic error",
)
agent.execute_task(task)
# Verify the LLM call was only made once (no retries)
mock_llm_call.assert_called_once()

View File

@@ -231,3 +231,255 @@ def test_validate_tool_input_with_special_characters():
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_none_input():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
arguments = tool_usage._validate_tool_input(None)
assert arguments == {}
def test_validate_tool_input_valid_json():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = '{"key": "value", "number": 42, "flag": true}'
expected_arguments = {"key": "value", "number": 42, "flag": True}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_python_dict():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = "{'key': 'value', 'number': 42, 'flag': True}"
expected_arguments = {"key": "value", "number": 42, "flag": True}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_json5_unquoted_keys():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = "{key: 'value', number: 42, flag: true}"
expected_arguments = {"key": "value", "number": 42, "flag": True}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_with_trailing_commas():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = '{"key": "value", "number": 42, "flag": true,}'
expected_arguments = {"key": "value", "number": 42, "flag": True}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_invalid_input():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
invalid_inputs = [
"Just a string",
"['list', 'of', 'values']",
"12345",
"",
]
for invalid_input in invalid_inputs:
with pytest.raises(Exception) as e_info:
tool_usage._validate_tool_input(invalid_input)
assert (
"Tool input must be a valid dictionary in JSON or Python literal format"
in str(e_info.value)
)
# Test for None input separately
arguments = tool_usage._validate_tool_input(None)
assert arguments == {} # Expecting an empty dictionary
def test_validate_tool_input_complex_structure():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = """
{
"user": {
"name": "Alice",
"age": 30
},
"items": [
{"id": 1, "value": "Item1"},
{"id": 2, "value": "Item2",}
],
"active": true,
}
"""
expected_arguments = {
"user": {"name": "Alice", "age": 30},
"items": [
{"id": 1, "value": "Item1"},
{"id": 2, "value": "Item2"},
],
"active": True,
}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_code_content():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = '{"filename": "script.py", "content": "def hello():\\n print(\'Hello, world!\')"}'
expected_arguments = {
"filename": "script.py",
"content": "def hello():\n print('Hello, world!')",
}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_with_escaped_quotes():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
tool_input = '{"text": "He said, \\"Hello, world!\\""}'
expected_arguments = {"text": 'He said, "Hello, world!"'}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_large_json_content():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
# Simulate a large JSON content
tool_input = (
'{"data": ' + json.dumps([{"id": i, "value": i * 2} for i in range(1000)]) + "}"
)
expected_arguments = {"data": [{"id": i, "value": i * 2} for i in range(1000)]}
arguments = tool_usage._validate_tool_input(tool_input)
assert arguments == expected_arguments
def test_validate_tool_input_none_input():
tool_usage = ToolUsage(
tools_handler=MagicMock(),
tools=[],
original_tools=[],
tools_description="",
tools_names="",
task=MagicMock(),
function_calling_llm=None,
agent=MagicMock(),
action=MagicMock(),
)
arguments = tool_usage._validate_tool_input(None)
assert arguments == {} # Expecting an empty dictionary