Files
crewAI/tests/agents/agent_adapters/test_base_agent_adapter.py
lorenzejay 0aeced1fa9 feat: Introduce OpenAIConverterAdapter for structured output handling
- Added OpenAIConverterAdapter to manage structured output conversion for OpenAI agents, enhancing their ability to process and format results.
- Updated OpenAIAgentAdapter to utilize the new converter for configuring structured output and post-processing results.
- Removed the deprecated get_output_converter method from OpenAIAgentAdapter.
- Added unit tests for BaseAgentAdapter and BaseToolAdapter to ensure proper functionality and integration of new features.
2025-04-16 12:00:35 -07:00

114 lines
3.6 KiB
Python

from typing import Any, Dict, List, Optional
import pytest
from pydantic import BaseModel
from crewai.agent import BaseAgent
from crewai.agents.agent_adapters.base_agent_adapter import BaseAgentAdapter
from crewai.tools import BaseTool
from crewai.utilities.token_counter_callback import TokenProcess
# Concrete implementation for testing
class ConcreteAgentAdapter(BaseAgentAdapter):
def configure_tools(
self, tools: Optional[List[BaseTool]] = None, **kwargs: Any
) -> None:
# Simple implementation for testing
self.tools = tools or []
def execute_task(
self,
task: Any,
context: Optional[str] = None,
tools: Optional[List[Any]] = None,
) -> str:
# Dummy implementation needed due to BaseAgent inheritance
return "Task executed"
def create_agent_executor(self, tools: Optional[List[BaseTool]] = None) -> Any:
# Dummy implementation
return None
def get_delegation_tools(
self, tools: List[BaseTool], tool_map: Optional[Dict[str, BaseTool]]
) -> List[BaseTool]:
# Dummy implementation
return []
def _parse_output(self, agent_output: Any, token_process: TokenProcess):
# Dummy implementation
pass
def get_output_converter(self, tools: Optional[List[BaseTool]] = None) -> Any:
# Dummy implementation
return None
def test_base_agent_adapter_initialization():
"""Test initialization of the concrete agent adapter."""
adapter = ConcreteAgentAdapter(
role="test role", goal="test goal", backstory="test backstory"
)
assert isinstance(adapter, BaseAgent)
assert isinstance(adapter, BaseAgentAdapter)
assert adapter.role == "test role"
assert adapter._agent_config is None
assert adapter.adapted_structured_output is False
def test_base_agent_adapter_initialization_with_config():
"""Test initialization with agent_config."""
config = {"model": "gpt-4"}
adapter = ConcreteAgentAdapter(
agent_config=config,
role="test role",
goal="test goal",
backstory="test backstory",
)
assert adapter._agent_config == config
def test_configure_tools_method_exists():
"""Test that configure_tools method exists and can be called."""
adapter = ConcreteAgentAdapter(
role="test role", goal="test goal", backstory="test backstory"
)
# Create dummy tools if needed, or pass None
tools = []
adapter.configure_tools(tools)
assert hasattr(adapter, "tools")
assert adapter.tools == tools
def test_configure_structured_output_method_exists():
"""Test that configure_structured_output method exists and can be called."""
adapter = ConcreteAgentAdapter(
role="test role", goal="test goal", backstory="test backstory"
)
# Define a dummy structure or pass None/Any
class DummyOutput(BaseModel):
data: str
structured_output = DummyOutput
adapter.configure_structured_output(structured_output)
# Add assertions here if configure_structured_output modifies state
# For now, just ensuring it runs without error is sufficient
pass
def test_base_agent_adapter_inherits_base_agent():
"""Test that BaseAgentAdapter inherits from BaseAgent."""
assert issubclass(BaseAgentAdapter, BaseAgent)
class ConcreteAgentAdapterWithoutRequiredMethods(BaseAgentAdapter):
pass
def test_base_agent_adapter_fails_without_required_methods():
"""Test that BaseAgentAdapter fails without required methods."""
with pytest.raises(TypeError):
ConcreteAgentAdapterWithoutRequiredMethods() # type: ignore