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https://github.com/crewAIInc/crewAI.git
synced 2026-05-05 09:12:39 +00:00
Fix: More confortable validation
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@@ -172,15 +172,29 @@ class Task(BaseModel):
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"""
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if v is not None:
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sig = inspect.signature(v)
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if len(sig.parameters) != 1:
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positional_args = [
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param
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for param in sig.parameters.values()
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if param.default is inspect.Parameter.empty
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]
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if len(positional_args) != 1:
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raise ValueError("Guardrail function must accept exactly one parameter")
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# Check return annotation if present, but don't require it
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return_annotation = sig.return_annotation
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if return_annotation != inspect.Signature.empty:
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from typing import get_args, get_origin
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return_annotation_args = get_args(return_annotation)
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if not (
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return_annotation == Tuple[bool, Any]
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or str(return_annotation) == "Tuple[bool, Any]"
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get_origin(return_annotation) is tuple
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and len(return_annotation_args) == 2
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and return_annotation_args[0] is bool
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and (
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return_annotation_args[1] is Any
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or return_annotation_args[1] is str
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or return_annotation_args[1] is TaskOutput
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)
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):
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raise ValueError(
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"If return type is annotated, it must be Tuple[bool, Any]"
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@@ -435,9 +449,9 @@ class Task(BaseModel):
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content = (
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json_output
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if json_output
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else pydantic_output.model_dump_json()
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if pydantic_output
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else result
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else (
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pydantic_output.model_dump_json() if pydantic_output else result
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)
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)
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self._save_file(content)
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crewai_event_bus.emit(self, TaskCompletedEvent(output=task_output))
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@@ -3,6 +3,7 @@
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import hashlib
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import json
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import os
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from functools import partial
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from unittest.mock import MagicMock, patch
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import pytest
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@@ -215,6 +216,75 @@ def test_multiple_output_type_error():
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)
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def test_guardrail_type_error():
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desc = "Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting."
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expected_output = "Bullet point list of 5 interesting ideas."
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# Lambda function
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=lambda x: (True, x),
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)
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# Function
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def guardrail_fn(x: TaskOutput) -> tuple[bool, TaskOutput]:
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return (True, x)
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=guardrail_fn,
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)
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class Object:
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def guardrail_fn(self, x: TaskOutput) -> tuple[bool, TaskOutput]:
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return (True, x)
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@classmethod
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def guardrail_class_fn(cls, x: TaskOutput) -> tuple[bool, TaskOutput]:
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return (True, x)
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@staticmethod
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def guardrail_static_fn(x: TaskOutput) -> tuple[bool, TaskOutput]:
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return (True, x)
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obj = Object()
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# Method
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=obj.guardrail_fn,
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)
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# Class method
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=Object.guardrail_class_fn,
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)
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# Static method
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=Object.guardrail_static_fn,
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)
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def error_fn(x: TaskOutput, y: bool) -> tuple[bool, TaskOutput]:
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return (y, x)
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=partial(error_fn, y=True),
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)
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with pytest.raises(ValidationError):
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Task(
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description=desc,
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expected_output=expected_output,
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guardrail=error_fn,
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)
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_output_pydantic_sequential():
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class ScoreOutput(BaseModel):
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