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improving guardrails
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This commit is contained in:
João Moura
2025-01-04 16:30:20 -03:00
parent d3da73136c
commit 440883e9e8
3 changed files with 1101 additions and 0 deletions
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6
src/crewai/task.py
View File

@@ -41,6 +41,7 @@ from crewai.tools.base_tool import BaseTool
from crewai.utilities.config import process_config
from crewai.utilities.converter import Converter, convert_to_model
from crewai.utilities.i18n import I18N
from crewai.utilities.printer import Printer
class Task(BaseModel):
@@ -394,6 +395,11 @@ class Task(BaseModel):
guardrail_result_error=guardrail_result.error,
task_output=task_output.raw
)
printer = Printer()
printer.print(
content=f"Guardrail blocked, retrying, due to:{guardrail_result.error}\n",
color="yellow",
)
return self._execute_core(agent, context, tools)
if guardrail_result.result is None:

988
tests/cassettes/test_crew_with_failing_task_guardrails.yaml Normal file
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@@ -0,0 +1,988 @@
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107
tests/crew_test.py
View File

@@ -3337,3 +3337,110 @@ def test_multimodal_agent_live_image_analysis():
assert isinstance(result.raw, str)
assert len(result.raw) > 100 # Expecting a detailed analysis
assert "error" not in result.raw.lower() # No error messages in response
@pytest.mark.vcr(filter_headers=["authorization"])
def test_crew_with_failing_task_guardrails():
"""Test that crew properly handles failing guardrails and retries with validation feedback."""
def strict_format_guardrail(result: TaskOutput):
"""Validates that the output follows a strict format:
- Must start with 'REPORT:'
- Must end with 'END REPORT'
"""
content = result.raw.strip()
if not ('REPORT:' in content or '**REPORT:**' in content):
return (False, "Output must start with 'REPORT:' no formatting, just the word REPORT")
if not ('END REPORT' in content or '**END REPORT**' in content):
return (False, "Output must end with 'END REPORT' no formatting, just the word END REPORT")
return (True, content)
researcher = Agent(
role="Report Writer",
goal="Create properly formatted reports",
backstory="You're an expert at writing structured reports.",
)
task = Task(
description="""Write a report about AI with exactly 3 key points.""",
expected_output="A properly formatted report",
agent=researcher,
guardrail=strict_format_guardrail,
max_retries=3
)
crew = Crew(
agents=[researcher],
tasks=[task],
)
result = crew.kickoff()
# Verify the final output meets all format requirements
content = result.raw.strip()
assert content.startswith('REPORT:'), "Output should start with 'REPORT:'"
assert content.endswith('END REPORT'), "Output should end with 'END REPORT'"
# Verify task output
task_output = result.tasks_output[0]
assert isinstance(task_output, TaskOutput)
assert task_output.raw == result.raw
@pytest.mark.vcr(filter_headers=["authorization"])
def test_crew_guardrail_feedback_in_context():
"""Test that guardrail feedback is properly appended to task context for retries."""
def format_guardrail(result: TaskOutput):
"""Validates that the output contains a specific keyword."""
if "IMPORTANT" not in result.raw:
return (False, "Output must contain the keyword 'IMPORTANT'")
return (True, result.raw)
# Create execution contexts list to track contexts
execution_contexts = []
researcher = Agent(
role="Writer",
goal="Write content with specific keywords",
backstory="You're an expert at following specific writing requirements.",
allow_delegation=False
)
task = Task(
description="Write a short response.",
expected_output="A response containing the keyword 'IMPORTANT'",
agent=researcher,
guardrail=format_guardrail,
max_retries=2
)
crew = Crew(agents=[researcher], tasks=[task])
with patch.object(Agent, "execute_task") as mock_execute_task:
# Define side_effect to capture context and return different responses
def side_effect(task, context=None, tools=None):
execution_contexts.append(context if context else "")
if len(execution_contexts) == 1:
return "This is a test response"
return "This is an IMPORTANT test response"
mock_execute_task.side_effect = side_effect
result = crew.kickoff()
# Verify that we had multiple executions
assert len(execution_contexts) > 1, "Task should have been executed multiple times"
# Verify that the second execution included the guardrail feedback
assert "Output must contain the keyword 'IMPORTANT'" in execution_contexts[1], \
"Guardrail feedback should be included in retry context"
# Verify final output meets guardrail requirements
assert "IMPORTANT" in result.raw, "Final output should contain required keyword"
# Verify task retry count
assert task.retry_count == 1, "Task should have been retried once"