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https://github.com/crewAIInc/crewAI.git
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08fa3797ca
* feat: add exchanged messages in LLMCallCompletedEvent * feat: add GoalAlignment metric for Agent evaluation * feat: add SemanticQuality metric for Agent evaluation * feat: add Tool Metrics for Agent evaluation * feat: add Reasoning Metrics for Agent evaluation, still in progress * feat: add AgentEvaluator class This class will evaluate Agent' results and report to user * fix: do not evaluate Agent by default This is a experimental feature we still need refine it further * test: add Agent eval tests * fix: render all feedback per iteration * style: resolve linter issues * style: fix mypy issues * fix: allow messages be empty on LLMCallCompletedEvent
28 lines
793 B
Python
28 lines
793 B
Python
import pytest
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from unittest.mock import MagicMock
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from crewai.agent import Agent
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from crewai.task import Task
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class BaseEvaluationMetricsTest:
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@pytest.fixture
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def mock_agent(self):
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agent = MagicMock(spec=Agent)
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agent.id = "test_agent_id"
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agent.role = "Test Agent"
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agent.goal = "Test goal"
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agent.tools = []
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return agent
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@pytest.fixture
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def mock_task(self):
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task = MagicMock(spec=Task)
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task.description = "Test task description"
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task.expected_output = "Test expected output"
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return task
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@pytest.fixture
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def execution_trace(self):
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return {
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"thinking": ["I need to analyze this data carefully"],
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"actions": ["Gathered information", "Analyzed data"]
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} |