mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-26 00:28:13 +00:00
Merge branch 'main' of github.com:crewAIInc/crewAI into fix/clone_when_using_knowledge
This commit is contained in:
@@ -1663,7 +1663,7 @@ def test_litellm_auth_error_handling():
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agent=agent,
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)
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# Mock the LLM call to raise LiteLLMAuthenticationError
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# Mock the LLM call to raise AuthenticationError
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with (
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patch.object(LLM, "call") as mock_llm_call,
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pytest.raises(LiteLLMAuthenticationError, match="Invalid API key"),
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@@ -1679,7 +1679,7 @@ def test_litellm_auth_error_handling():
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def test_crew_agent_executor_litellm_auth_error():
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"""Test that CrewAgentExecutor handles LiteLLM authentication errors by raising them."""
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from litellm import AuthenticationError as LiteLLMAuthenticationError
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from litellm.exceptions import AuthenticationError
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from crewai.agents.tools_handler import ToolsHandler
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from crewai.utilities import Printer
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@@ -1712,13 +1712,13 @@ def test_crew_agent_executor_litellm_auth_error():
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tools_handler=ToolsHandler(),
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)
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# Mock the LLM call to raise LiteLLMAuthenticationError
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# Mock the LLM call to raise AuthenticationError
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with (
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patch.object(LLM, "call") as mock_llm_call,
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patch.object(Printer, "print") as mock_printer,
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pytest.raises(LiteLLMAuthenticationError, match="Invalid API key"),
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pytest.raises(AuthenticationError) as exc_info,
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):
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mock_llm_call.side_effect = LiteLLMAuthenticationError(
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mock_llm_call.side_effect = AuthenticationError(
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message="Invalid API key", llm_provider="openai", model="gpt-4"
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)
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executor.invoke(
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@@ -1729,14 +1729,53 @@ def test_crew_agent_executor_litellm_auth_error():
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}
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)
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# Verify error handling
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# Verify error handling messages
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error_message = f"Error during LLM call: {str(mock_llm_call.side_effect)}"
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mock_printer.assert_any_call(
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content="An unknown error occurred. Please check the details below.",
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color="red",
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)
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mock_printer.assert_any_call(
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content="Error details: litellm.AuthenticationError: Invalid API key",
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content=error_message,
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color="red",
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)
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# Verify the call was only made once (no retries)
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mock_llm_call.assert_called_once()
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# Assert that the exception was raised and has the expected attributes
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assert exc_info.type is AuthenticationError
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assert "Invalid API key".lower() in exc_info.value.message.lower()
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assert exc_info.value.llm_provider == "openai"
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assert exc_info.value.model == "gpt-4"
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def test_litellm_anthropic_error_handling():
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"""Test that AnthropicError from LiteLLM is handled correctly and not retried."""
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from litellm.llms.anthropic.common_utils import AnthropicError
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# Create an agent with a mocked LLM that uses an Anthropic model
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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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llm=LLM(model="claude-3.5-sonnet-20240620"),
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max_retry_limit=0,
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)
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# Create a task
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task = Task(
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description="Test task",
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expected_output="Test output",
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agent=agent,
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)
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# Mock the LLM call to raise AnthropicError
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with (
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patch.object(LLM, "call") as mock_llm_call,
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pytest.raises(AnthropicError, match="Test Anthropic error"),
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):
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mock_llm_call.side_effect = AnthropicError(
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status_code=500,
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message="Test Anthropic error",
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)
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agent.execute_task(task)
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# Verify the LLM call was only made once (no retries)
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mock_llm_call.assert_called_once()
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@@ -231,3 +231,255 @@ def test_validate_tool_input_with_special_characters():
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_none_input():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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arguments = tool_usage._validate_tool_input(None)
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assert arguments == {}
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def test_validate_tool_input_valid_json():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = '{"key": "value", "number": 42, "flag": true}'
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expected_arguments = {"key": "value", "number": 42, "flag": True}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_python_dict():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = "{'key': 'value', 'number': 42, 'flag': True}"
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expected_arguments = {"key": "value", "number": 42, "flag": True}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_json5_unquoted_keys():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = "{key: 'value', number: 42, flag: true}"
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expected_arguments = {"key": "value", "number": 42, "flag": True}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_with_trailing_commas():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = '{"key": "value", "number": 42, "flag": true,}'
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expected_arguments = {"key": "value", "number": 42, "flag": True}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_invalid_input():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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invalid_inputs = [
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"Just a string",
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"['list', 'of', 'values']",
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"12345",
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"",
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]
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for invalid_input in invalid_inputs:
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with pytest.raises(Exception) as e_info:
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tool_usage._validate_tool_input(invalid_input)
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assert (
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"Tool input must be a valid dictionary in JSON or Python literal format"
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in str(e_info.value)
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)
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# Test for None input separately
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arguments = tool_usage._validate_tool_input(None)
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assert arguments == {} # Expecting an empty dictionary
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def test_validate_tool_input_complex_structure():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = """
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{
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"user": {
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"name": "Alice",
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"age": 30
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},
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"items": [
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{"id": 1, "value": "Item1"},
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{"id": 2, "value": "Item2",}
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],
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"active": true,
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}
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"""
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expected_arguments = {
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"user": {"name": "Alice", "age": 30},
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"items": [
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{"id": 1, "value": "Item1"},
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{"id": 2, "value": "Item2"},
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],
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"active": True,
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}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_code_content():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = '{"filename": "script.py", "content": "def hello():\\n print(\'Hello, world!\')"}'
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expected_arguments = {
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"filename": "script.py",
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"content": "def hello():\n print('Hello, world!')",
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}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_with_escaped_quotes():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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tool_input = '{"text": "He said, \\"Hello, world!\\""}'
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expected_arguments = {"text": 'He said, "Hello, world!"'}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_large_json_content():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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# Simulate a large JSON content
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tool_input = (
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'{"data": ' + json.dumps([{"id": i, "value": i * 2} for i in range(1000)]) + "}"
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)
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expected_arguments = {"data": [{"id": i, "value": i * 2} for i in range(1000)]}
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arguments = tool_usage._validate_tool_input(tool_input)
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assert arguments == expected_arguments
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def test_validate_tool_input_none_input():
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tool_usage = ToolUsage(
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tools_handler=MagicMock(),
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tools=[],
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original_tools=[],
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tools_description="",
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tools_names="",
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task=MagicMock(),
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function_calling_llm=None,
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agent=MagicMock(),
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action=MagicMock(),
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)
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arguments = tool_usage._validate_tool_input(None)
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assert arguments == {} # Expecting an empty dictionary
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Block a user