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| from autogpt.agent.agent import Agent | |
| from autogpt.config import AIConfig | |
| from autogpt.llm import create_chat_completion | |
| def test_get_self_feedback(mocker): | |
| # Define a sample thoughts dictionary | |
| thoughts = { | |
| "reasoning": "Sample reasoning.", | |
| "plan": "Sample plan.", | |
| "thoughts": "Sample thoughts.", | |
| "criticism": "Sample criticism.", | |
| } | |
| # Define a fake response for the create_chat_completion function | |
| fake_response = ( | |
| "Y The provided information is suitable for achieving the role's objectives." | |
| ) | |
| # Mock the create_chat_completion function | |
| mock_create_chat_completion = mocker.patch( | |
| "autogpt.agent.agent.create_chat_completion", wraps=create_chat_completion | |
| ) | |
| mock_create_chat_completion.return_value = fake_response | |
| # Create a MagicMock object to replace the Agent instance | |
| agent_mock = mocker.MagicMock(spec=Agent) | |
| # Mock the config attribute of the Agent instance | |
| agent_mock.config = AIConfig() | |
| # Call the get_self_feedback method | |
| feedback = Agent.get_self_feedback( | |
| agent_mock, | |
| thoughts, | |
| "gpt-3.5-turbo", | |
| ) | |
| # Check if the response is correct | |
| assert feedback == fake_response | |