Files
crewAI/src/crewai/tasks/guardrail_result.py
devin-ai-integration[bot] 22e5d39884 feat: Add task guardrails feature (#1742)
* feat: Add task guardrails feature

Add support for custom code guardrails in tasks that validate outputs
before proceeding to the next task. Features include:

- Optional task-level guardrail function
- Pre-next-task execution timing
- Tuple return format (success, data)
- Automatic result/error routing
- Configurable retry mechanism
- Comprehensive documentation and tests

Link to Devin run: https://app.devin.ai/sessions/39f6cfd6c5a24d25a7bd70ce070ed29a

Co-Authored-By: Joe Moura <joao@crewai.com>

* fix: Add type check for guardrail result and remove unused import

Co-Authored-By: Joe Moura <joao@crewai.com>

* fix: Remove unnecessary f-string prefix

Co-Authored-By: Joe Moura <joao@crewai.com>

* feat: Add guardrail validation improvements

- Add result/error exclusivity validation in GuardrailResult
- Make return type annotations optional in Task guardrail validator
- Improve error messages for validation failures

Co-Authored-By: Joe Moura <joao@crewai.com>

* docs: Add comprehensive guardrails documentation

- Add type hints and examples
- Add error handling best practices
- Add structured error response patterns
- Document retry mechanisms
- Improve documentation organization

Co-Authored-By: Joe Moura <joao@crewai.com>

* refactor: Update guardrail functions to handle TaskOutput objects

Co-Authored-By: Joe Moura <joao@crewai.com>

* feat: Add task guardrails feature

Add support for custom code guardrails in tasks that validate outputs
before proceeding to the next task. Features include:

- Optional task-level guardrail function
- Pre-next-task execution timing
- Tuple return format (success, data)
- Automatic result/error routing
- Configurable retry mechanism
- Comprehensive documentation and tests

Link to Devin run: https://app.devin.ai/sessions/39f6cfd6c5a24d25a7bd70ce070ed29a

Co-Authored-By: Joe Moura <joao@crewai.com>

* fix: Add type check for guardrail result and remove unused import

Co-Authored-By: Joe Moura <joao@crewai.com>

* fix: Remove unnecessary f-string prefix

Co-Authored-By: Joe Moura <joao@crewai.com>

* feat: Add guardrail validation improvements

- Add result/error exclusivity validation in GuardrailResult
- Make return type annotations optional in Task guardrail validator
- Improve error messages for validation failures

Co-Authored-By: Joe Moura <joao@crewai.com>

* docs: Add comprehensive guardrails documentation

- Add type hints and examples
- Add error handling best practices
- Add structured error response patterns
- Document retry mechanisms
- Improve documentation organization

Co-Authored-By: Joe Moura <joao@crewai.com>

* refactor: Update guardrail functions to handle TaskOutput objects

Co-Authored-By: Joe Moura <joao@crewai.com>

* style: Fix import sorting in task guardrails files

Co-Authored-By: Joe Moura <joao@crewai.com>

* fixing docs

* Fixing guardarils implementation

* docs: Enhance guardrail validator docstring with runtime validation rationale

Co-Authored-By: Joe Moura <joao@crewai.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Joe Moura <joao@crewai.com>
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
Co-authored-by: João Moura <joaomdmoura@gmail.com>
2024-12-22 00:52:02 -03:00

57 lines
2.0 KiB
Python

"""
Module for handling task guardrail validation results.
This module provides the GuardrailResult class which standardizes
the way task guardrails return their validation results.
"""
from typing import Any, Optional, Tuple, Union
from pydantic import BaseModel, field_validator
class GuardrailResult(BaseModel):
"""Result from a task guardrail execution.
This class standardizes the return format of task guardrails,
converting tuple responses into a structured format that can
be easily handled by the task execution system.
Attributes:
success (bool): Whether the guardrail validation passed
result (Any, optional): The validated/transformed result if successful
error (str, optional): Error message if validation failed
"""
success: bool
result: Optional[Any] = None
error: Optional[str] = None
@field_validator("result", "error")
@classmethod
def validate_result_error_exclusivity(cls, v: Any, info) -> Any:
values = info.data
if "success" in values:
if values["success"] and v and "error" in values and values["error"]:
raise ValueError("Cannot have both result and error when success is True")
if not values["success"] and v and "result" in values and values["result"]:
raise ValueError("Cannot have both result and error when success is False")
return v
@classmethod
def from_tuple(cls, result: Tuple[bool, Union[Any, str]]) -> "GuardrailResult":
"""Create a GuardrailResult from a validation tuple.
Args:
result: A tuple of (success, data) where data is either
the validated result or error message.
Returns:
GuardrailResult: A new instance with the tuple data.
"""
success, data = result
return cls(
success=success,
result=data if success else None,
error=data if not success else None
)