feat: improve ToolMetric in Agent Evaluator when the agent fails to invoke a required tool

This commit is contained in:
Lucas Gomide
2025-07-17 10:24:55 -03:00
parent bf248d5118
commit 5c5e3b91cd
2 changed files with 37 additions and 18 deletions

View File

@@ -1,3 +1,4 @@
import pytest
from unittest.mock import patch, MagicMock
from crewai.experimental.evaluation.metrics.tools_metrics import (
@@ -7,6 +8,26 @@ from crewai.experimental.evaluation.metrics.tools_metrics import (
)
from crewai.utilities.llm_utils import LLM
from tests.experimental.evaluation.metrics.base_evaluation_metrics_test import BaseEvaluationMetricsTest
from crewai.tools.base_tool import BaseTool
@pytest.fixture
def tools_available():
class MyCustomTool(BaseTool):
name: str = "Name of my tool"
description: str = "Clear description for what this tool is useful for, your agent will need this information to use it."
def _run(self, question: str) -> str:
return question
class AnotherCustomTool(BaseTool):
name: str = "Another name of my tool"
description: str = "Clear description for what this another tool is useful for, your agent will need this information to use it."
def _run(self, question: str) -> str:
return question
return [MyCustomTool(), AnotherCustomTool()]
class TestToolSelectionEvaluator(BaseEvaluationMetricsTest):
def test_no_tools_available(self, mock_task, mock_agent):
@@ -26,8 +47,8 @@ class TestToolSelectionEvaluator(BaseEvaluationMetricsTest):
assert result.score is None
assert "no tools available" in result.feedback.lower()
def test_tools_available_but_none_used(self, mock_agent, mock_task):
mock_agent.tools = ["tool1", "tool2"]
def test_tools_available_but_none_used(self, mock_agent, mock_task, tools_available):
mock_agent.tools = tools_available
execution_trace = {"tool_uses": []}
evaluator = ToolSelectionEvaluator()
@@ -42,7 +63,8 @@ class TestToolSelectionEvaluator(BaseEvaluationMetricsTest):
assert "had tools available but didn't use any" in result.feedback.lower()
@patch("crewai.utilities.llm_utils.create_llm")
def test_successful_evaluation(self, mock_create_llm, mock_agent, mock_task):
def test_successful_evaluation(self, mock_create_llm, mock_agent, mock_task, tools_available):
mock_agent.tools = tools_available
# Setup mock LLM response
mock_llm = MagicMock(spec=LLM)
mock_llm.call.return_value = """