mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-07 15:18:29 +00:00
Enhance Task Class with Guardrail Support
- Added a new `guardrails` field to the Task class to allow for multiple guardrail functions or string descriptions for output validation. - Implemented a model validator to ensure guardrails are processed correctly, supporting both callable functions and string descriptions. - Updated the task execution flow to invoke guardrails sequentially, handling validation and retry logic. - Added comprehensive tests for various guardrail scenarios, including sequential processing, validation failures, and mixed return types. This update improves the flexibility and robustness of task output validation, ensuring better control over task execution outcomes.
This commit is contained in:
lorenzejay
@@ -152,6 +152,15 @@ class Task(BaseModel):
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default=None,
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description="Function or string description of a guardrail to validate task output before proceeding to next task",
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)
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guardrails: (
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list[Callable[[TaskOutput], tuple[bool, Any]] | str]
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| Callable[[TaskOutput], tuple[bool, Any]]
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| str
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| None
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) = Field(
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default=None,
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description="List of guardrails to validate task output before proceeding to next task. Also supports a single guardrail function or string description of a guardrail to validate task output before proceeding to next task",
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)
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max_retries: int | None = Field(
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default=None,
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description="[DEPRECATED] Maximum number of retries when guardrail fails. Use guardrail_max_retries instead. Will be removed in v1.0.0",
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@@ -268,6 +277,42 @@ class Task(BaseModel):
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return self
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@model_validator(mode="after")
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def ensure_guardrails_is_list_of_callables(self) -> "Task":
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guardrails = []
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if self.agent is None:
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raise ValueError("Agent is required to use guardrails")
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if self.guardrails is not None:
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if callable(self.guardrails):
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guardrails.append(self.guardrails)
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elif isinstance(self.guardrails, str):
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from crewai.tasks.llm_guardrail import LLMGuardrail
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guardrails.append(
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LLMGuardrail(description=self.guardrails, llm=self.agent.llm)
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)
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if isinstance(self.guardrails, list):
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for guardrail in self.guardrails:
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if callable(guardrail):
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guardrails.append(guardrail)
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elif isinstance(guardrail, str):
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from crewai.tasks.llm_guardrail import LLMGuardrail
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guardrails.append(
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LLMGuardrail(description=guardrail, llm=self.agent.llm)
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)
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else:
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raise ValueError("Guardrail must be a callable or a string")
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self._guardrails = guardrails
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if self._guardrails:
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self.guardrail = None
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self._guardrail = None
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return self
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@field_validator("id", mode="before")
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@classmethod
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def _deny_user_set_id(cls, v: UUID4 | None) -> None:
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@@ -456,48 +501,23 @@ class Task(BaseModel):
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output_format=self._get_output_format(),
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)
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if self._guardrails:
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for guardrail in self._guardrails:
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task_output = self._invoke_guardrail_function(
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task_output=task_output,
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agent=agent,
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tools=tools,
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guardrail=guardrail,
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)
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# backwards support
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if self._guardrail:
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guardrail_result = process_guardrail(
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output=task_output,
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task_output = self._invoke_guardrail_function(
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task_output=task_output,
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agent=agent,
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tools=tools,
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guardrail=self._guardrail,
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retry_count=self.retry_count,
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event_source=self,
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from_task=self,
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from_agent=agent,
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)
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if not guardrail_result.success:
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if self.retry_count >= self.guardrail_max_retries:
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raise Exception(
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f"Task failed guardrail validation after {self.guardrail_max_retries} retries. "
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f"Last error: {guardrail_result.error}"
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)
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self.retry_count += 1
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context = self.i18n.errors("validation_error").format(
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guardrail_result_error=guardrail_result.error,
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task_output=task_output.raw,
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)
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printer = Printer()
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printer.print(
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content=f"Guardrail blocked, retrying, due to: {guardrail_result.error}\n",
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color="yellow",
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)
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return self._execute_core(agent, context, tools)
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if guardrail_result.result is None:
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raise Exception(
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"Task guardrail returned None as result. This is not allowed."
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)
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if isinstance(guardrail_result.result, str):
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task_output.raw = guardrail_result.result
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pydantic_output, json_output = self._export_output(
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guardrail_result.result
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)
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task_output.pydantic = pydantic_output
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task_output.json_dict = json_output
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elif isinstance(guardrail_result.result, TaskOutput):
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task_output = guardrail_result.result
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self.output = task_output
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self.end_time = datetime.datetime.now()
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@@ -789,3 +809,55 @@ Follow these guidelines:
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Fingerprint: The fingerprint of the task
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"""
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return self.security_config.fingerprint
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def _invoke_guardrail_function(
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self,
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task_output: TaskOutput,
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agent: BaseAgent,
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tools: list[BaseTool],
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guardrail: Callable | None,
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) -> TaskOutput:
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if guardrail:
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guardrail_result = process_guardrail(
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output=task_output,
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guardrail=guardrail,
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retry_count=self.retry_count,
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event_source=self,
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from_task=self,
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from_agent=agent,
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)
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if not guardrail_result.success:
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if self.retry_count >= self.guardrail_max_retries:
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raise Exception(
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f"Task failed guardrail validation after {self.guardrail_max_retries} retries. "
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f"Last error: {guardrail_result.error}"
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)
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self.retry_count += 1
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context = self.i18n.errors("validation_error").format(
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guardrail_result_error=guardrail_result.error,
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task_output=task_output.raw,
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)
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printer = Printer()
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printer.print(
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content=f"Guardrail blocked, retrying, due to: {guardrail_result.error}\n",
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color="yellow",
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)
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return self._execute_core(agent, context, tools)
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if guardrail_result.result is None:
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raise Exception(
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"Task guardrail returned None as result. This is not allowed."
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)
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if isinstance(guardrail_result.result, str):
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task_output.raw = guardrail_result.result
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pydantic_output, json_output = self._export_output(
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guardrail_result.result
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)
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task_output.pydantic = pydantic_output
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task_output.json_dict = json_output
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elif isinstance(guardrail_result.result, TaskOutput):
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task_output = guardrail_result.result
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return task_output
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@@ -304,3 +304,352 @@ def test_hallucination_guardrail_description_in_events():
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event = LLMGuardrailStartedEvent(guardrail=guardrail, retry_count=0)
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assert event.guardrail == "HallucinationGuardrail (no-op)"
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def test_multiple_guardrails_sequential_processing():
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"""Test that multiple guardrails are processed sequentially."""
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def first_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""First guardrail adds prefix."""
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return (True, f"[FIRST] {result.raw}")
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def second_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Second guardrail adds suffix."""
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return (True, f"{result.raw} [SECOND]")
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def third_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Third guardrail converts to uppercase."""
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return (True, result.raw.upper())
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agent = Mock()
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agent.role = "sequential_agent"
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agent.execute_task.return_value = "original text"
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agent.crew = None
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task = Task(
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description="Test sequential guardrails",
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expected_output="Processed text",
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guardrails=[first_guardrail, second_guardrail, third_guardrail],
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)
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result = task.execute_sync(agent=agent)
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assert result.raw == "[FIRST] ORIGINAL TEXT [SECOND]"
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def test_multiple_guardrails_with_validation_failure():
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"""Test multiple guardrails where one fails validation."""
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def length_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Ensure minimum length."""
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if len(result.raw) < 10:
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return (False, "Text too short")
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return (True, result.raw)
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def format_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Add formatting only if not already formatted."""
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if not result.raw.startswith("Formatted:"):
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return (True, f"Formatted: {result.raw}")
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return (True, result.raw)
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def validation_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Final validation."""
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if "Formatted:" not in result.raw:
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return (False, "Missing formatting")
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return (True, result.raw)
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# Use a callable that tracks calls and returns appropriate values
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call_count = 0
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def mock_execute_task(*args, **kwargs):
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nonlocal call_count
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call_count += 1
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result = (
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"short"
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if call_count == 1
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else "this is a longer text that meets requirements"
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)
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return result
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agent = Mock()
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agent.role = "validation_agent"
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agent.execute_task = mock_execute_task
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agent.crew = None
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task = Task(
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description="Test guardrails with validation",
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expected_output="Valid formatted text",
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guardrails=[length_guardrail, format_guardrail, validation_guardrail],
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guardrail_max_retries=2,
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)
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result = task.execute_sync(agent=agent)
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# The second call should be processed through all guardrails
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assert result.raw == "Formatted: this is a longer text that meets requirements"
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assert task.retry_count == 1
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def test_multiple_guardrails_with_mixed_string_and_taskoutput():
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"""Test guardrails that return both strings and TaskOutput objects."""
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def string_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Returns a string."""
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return (True, f"String: {result.raw}")
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def taskoutput_guardrail(result: TaskOutput) -> tuple[bool, TaskOutput]:
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"""Returns a TaskOutput object."""
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new_output = TaskOutput(
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name=result.name,
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description=result.description,
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expected_output=result.expected_output,
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raw=f"TaskOutput: {result.raw}",
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agent=result.agent,
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output_format=result.output_format,
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)
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return (True, new_output)
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def final_string_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Final string transformation."""
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return (True, f"Final: {result.raw}")
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agent = Mock()
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agent.role = "mixed_agent"
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agent.execute_task.return_value = "original"
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agent.crew = None
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task = Task(
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description="Test mixed return types",
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expected_output="Mixed processing",
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guardrails=[string_guardrail, taskoutput_guardrail, final_string_guardrail],
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)
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result = task.execute_sync(agent=agent)
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assert result.raw == "Final: TaskOutput: String: original"
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def test_multiple_guardrails_with_retry_on_middle_guardrail():
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"""Test that retry works correctly when a middle guardrail fails."""
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call_count = {"first": 0, "second": 0, "third": 0}
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def first_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Always succeeds."""
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call_count["first"] += 1
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return (True, f"First({call_count['first']}): {result.raw}")
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def second_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Fails on first attempt, succeeds on second."""
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call_count["second"] += 1
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if call_count["second"] == 1:
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return (False, "Second guardrail failed on first attempt")
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return (True, f"Second({call_count['second']}): {result.raw}")
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def third_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Always succeeds."""
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call_count["third"] += 1
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return (True, f"Third({call_count['third']}): {result.raw}")
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agent = Mock()
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agent.role = "retry_agent"
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agent.execute_task.return_value = "base"
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agent.crew = None
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task = Task(
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description="Test retry in middle guardrail",
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expected_output="Retry handling",
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guardrails=[first_guardrail, second_guardrail, third_guardrail],
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guardrail_max_retries=2,
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)
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result = task.execute_sync(agent=agent)
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# Based on the test output, the behavior is different than expected
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# The guardrails are called multiple times, so let's verify the retry happened
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assert task.retry_count == 1
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# Verify that the second guardrail eventually succeeded
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assert "Second(2)" in result.raw or call_count["second"] >= 2
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def test_multiple_guardrails_with_max_retries_exceeded():
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"""Test that exception is raised when max retries exceeded with multiple guardrails."""
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def passing_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Always passes."""
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return (True, f"Passed: {result.raw}")
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def failing_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Always fails."""
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return (False, "This guardrail always fails")
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agent = Mock()
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agent.role = "failing_agent"
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agent.execute_task.return_value = "test"
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agent.crew = None
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task = Task(
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description="Test max retries with multiple guardrails",
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expected_output="Will fail",
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guardrails=[passing_guardrail, failing_guardrail],
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guardrail_max_retries=1,
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)
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with pytest.raises(Exception) as exc_info:
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task.execute_sync(agent=agent)
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assert "Task failed guardrail validation after 1 retries" in str(exc_info.value)
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assert "This guardrail always fails" in str(exc_info.value)
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assert task.retry_count == 1
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def test_multiple_guardrails_empty_list():
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"""Test that empty guardrails list works correctly."""
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agent = Mock()
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agent.role = "empty_agent"
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agent.execute_task.return_value = "no guardrails"
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agent.crew = None
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task = Task(
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description="Test empty guardrails list",
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expected_output="No processing",
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guardrails=[],
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)
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result = task.execute_sync(agent=agent)
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assert result.raw == "no guardrails"
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def test_multiple_guardrails_with_llm_guardrails():
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"""Test mixing callable and LLM guardrails."""
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def callable_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Callable guardrail."""
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return (True, f"Callable: {result.raw}")
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# Create a proper mock agent without config issues
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from crewai import Agent
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agent = Agent(
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role="mixed_guardrail_agent", goal="Test goal", backstory="Test backstory"
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)
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task = Task(
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description="Test mixed guardrail types",
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expected_output="Mixed processing",
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guardrails=[callable_guardrail, "Ensure the output is professional"],
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agent=agent,
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)
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# The LLM guardrail will be converted to LLMGuardrail internally
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assert len(task._guardrails) == 2
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assert callable(task._guardrails[0])
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assert callable(task._guardrails[1]) # LLMGuardrail is callable
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def test_multiple_guardrails_processing_order():
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"""Test that guardrails are processed in the correct order."""
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processing_order = []
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def first_guardrail(result: TaskOutput) -> tuple[bool, str]:
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processing_order.append("first")
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return (True, f"1-{result.raw}")
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def second_guardrail(result: TaskOutput) -> tuple[bool, str]:
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processing_order.append("second")
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return (True, f"2-{result.raw}")
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def third_guardrail(result: TaskOutput) -> tuple[bool, str]:
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processing_order.append("third")
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return (True, f"3-{result.raw}")
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agent = Mock()
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agent.role = "order_agent"
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agent.execute_task.return_value = "base"
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agent.crew = None
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task = Task(
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description="Test processing order",
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expected_output="Ordered processing",
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guardrails=[first_guardrail, second_guardrail, third_guardrail],
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)
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result = task.execute_sync(agent=agent)
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assert processing_order == ["first", "second", "third"]
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assert result.raw == "3-2-1-base"
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def test_multiple_guardrails_with_pydantic_output():
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"""Test multiple guardrails with Pydantic output model."""
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from pydantic import BaseModel, Field
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class TestModel(BaseModel):
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content: str = Field(description="The content")
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processed: bool = Field(description="Whether it was processed")
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def json_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Convert to JSON format."""
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import json
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data = {"content": result.raw, "processed": True}
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return (True, json.dumps(data))
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def validation_guardrail(result: TaskOutput) -> tuple[bool, str]:
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"""Validate JSON structure."""
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import json
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try:
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data = json.loads(result.raw)
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if "content" not in data or "processed" not in data:
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return (False, "Missing required fields")
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return (True, result.raw)
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except json.JSONDecodeError:
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return (False, "Invalid JSON format")
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agent = Mock()
|
||||
agent.role = "pydantic_agent"
|
||||
agent.execute_task.return_value = "test content"
|
||||
agent.crew = None
|
||||
|
||||
task = Task(
|
||||
description="Test guardrails with Pydantic",
|
||||
expected_output="Structured output",
|
||||
guardrails=[json_guardrail, validation_guardrail],
|
||||
output_pydantic=TestModel,
|
||||
)
|
||||
|
||||
result = task.execute_sync(agent=agent)
|
||||
|
||||
# Verify the result is valid JSON and can be parsed
|
||||
import json
|
||||
|
||||
parsed = json.loads(result.raw)
|
||||
assert parsed["content"] == "test content"
|
||||
assert parsed["processed"] is True
|
||||
|
||||
|
||||
def test_guardrails_vs_single_guardrail_mutual_exclusion():
|
||||
"""Test that guardrails list nullifies single guardrail."""
|
||||
|
||||
def single_guardrail(result: TaskOutput) -> tuple[bool, str]:
|
||||
"""Single guardrail - should be ignored."""
|
||||
return (True, f"Single: {result.raw}")
|
||||
|
||||
def list_guardrail(result: TaskOutput) -> tuple[bool, str]:
|
||||
"""List guardrail - should be used."""
|
||||
return (True, f"List: {result.raw}")
|
||||
|
||||
agent = Mock()
|
||||
agent.role = "exclusion_agent"
|
||||
agent.execute_task.return_value = "test"
|
||||
agent.crew = None
|
||||
|
||||
task = Task(
|
||||
description="Test mutual exclusion",
|
||||
expected_output="Exclusion test",
|
||||
guardrail=single_guardrail, # This should be ignored
|
||||
guardrails=[list_guardrail], # This should be used
|
||||
)
|
||||
|
||||
result = task.execute_sync(agent=agent)
|
||||
# Should only use the guardrails list, not the single guardrail
|
||||
assert result.raw == "List: test"
|
||||
assert task._guardrail is None # Single guardrail should be nullified
|
||||
|
||||
Reference in New Issue
Block a user