chore: add deprecation notices to Task.max_retries (#3379)

docs/en/concepts/tasks.mdx

@@ -59,6 +59,7 @@ crew = Crew(
 | **Output Pydantic** _(optional)_ | `output_pydantic` | `Optional[Type[BaseModel]]`   | A Pydantic model for task output.                                                                                    |
 | **Callback** _(optional)_        | `callback`        | `Optional[Any]`               | Function/object to be executed after task completion.                                                                |
 | **Guardrail** _(optional)_       | `guardrail`       | `Optional[Callable]`             | Function to validate task output before proceeding to next task.                                                  |
+| **Guardrail Max Retries** _(optional)_ | `guardrail_max_retries` | `Optional[int]`     | Maximum number of retries when guardrail validation fails. Defaults to 3.                                         |
 
 ## Creating Tasks
 
@@ -452,7 +453,7 @@ task = Task(
     expected_output="A valid JSON object",
     agent=analyst,
     guardrail=validate_json_output,
-    max_retries=3  # Limit retry attempts
+    guardrail_max_retries=3  # Limit retry attempts
 )
 ```
 

docs/ko/concepts/tasks.mdx

@@ -59,6 +59,7 @@ crew = Crew(
 | **Pydantic 출력** _(선택 사항)_   | `output_pydantic`     | `Optional[Type[BaseModel]]`       | 태스크 출력용 Pydantic 모델입니다.                                                                             |
 | **콜백** _(선택 사항)_            | `callback`            | `Optional[Any]`                  | 태스크 완료 후 실행할 함수/객체입니다.                                                                         |
 | **가드레일** _(선택 사항)_        | `guardrail`           | `Optional[Callable]`                | 다음 태스크로 진행하기 전에 태스크 출력을 검증하는 함수입니다.                                               |
+| **가드레일 최대 재시도** _(선택 사항)_ | `guardrail_max_retries` | `Optional[int]`          | 가드레일 검증 실패 시 최대 재시도 횟수입니다. 기본값은 3입니다.                                                |
 
 ## 작업 생성하기
 
@@ -448,7 +449,7 @@ task = Task(
     expected_output="A valid JSON object",
     agent=analyst,
     guardrail=validate_json_output,
-    max_retries=3  # Limit retry attempts
+    guardrail_max_retries=3  # 재시도 횟수 제한
 )
 ```
 
@@ -899,4 +900,4 @@ except RuntimeError as e:
 작업(task)은 CrewAI 에이전트의 행동을 이끄는 원동력입니다.
 작업과 그 결과를 적절하게 정의함으로써, 에이전트가 독립적으로 또는 협업 단위로 효과적으로 작동할 수 있는 기반을 마련할 수 있습니다.
 작업에 적합한 도구를 장착하고, 실행 과정을 이해하며, 견고한 검증 절차를 따르는 것은 CrewAI의 잠재력을 극대화하는 데 필수적입니다.
-이를 통해 에이전트가 할당된 작업에 효과적으로 준비되고, 작업이 의도대로 수행될 수 있습니다.
+이를 통해 에이전트가 할당된 작업에 효과적으로 준비되고, 작업이 의도대로 수행될 수 있습니다.

docs/pt-BR/concepts/tasks.mdx

@@ -59,6 +59,7 @@ crew = Crew(
 | **Output Pydantic** _(opcional)_ | `output_pydantic` | `Optional[Type[BaseModel]]`  | Um modelo Pydantic para a saída da tarefa.                                                                         |
 | **Callback** _(opcional)_        | `callback`        | `Optional[Any]`              | Função/objeto a ser executado após a conclusão da tarefa.                                                          |
 | **Guardrail** _(opcional)_       | `guardrail`       | `Optional[Callable]`             | Função para validar a saída da tarefa antes de prosseguir para a próxima tarefa.                                |
+| **Max Tentativas Guardrail** _(opcional)_ | `guardrail_max_retries` | `Optional[int]`    | Número máximo de tentativas quando a validação do guardrail falha. Padrão é 3.                                   |
 
 ## Criando Tarefas
 
@@ -450,7 +451,7 @@ task = Task(
     expected_output="Um objeto JSON válido",
     agent=analyst,
     guardrail=validate_json_output,
-    max_retries=3  # Limite de tentativas
+    guardrail_max_retries=3  # Limite de tentativas
 )
 ```
 
@@ -935,7 +936,7 @@ task = Task(
     description="Gerar dados",
     expected_output="Dados válidos",
     guardrail=validate_data,
-    max_retries=5  # Sobrescreve o limite padrão de tentativas
+    guardrail_max_retries=5  # Sobrescreve o limite padrão de tentativas
 )
 ```
 

src/crewai/task.py

@@ -4,6 +4,7 @@ import json
 import logging
 import threading
 import uuid
+import warnings
 from concurrent.futures import Future
 from copy import copy
 from hashlib import md5
@@ -157,8 +158,13 @@ class Task(BaseModel):
         default=None,
         description="Function or string description of a guardrail to validate task output before proceeding to next task",
     )
-    max_retries: int = Field(
-        default=3, description="Maximum number of retries when guardrail fails"
+    max_retries: Optional[int] = Field(
+        default=None,
+        description="[DEPRECATED] Maximum number of retries when guardrail fails. Use guardrail_max_retries instead. Will be removed in v1.0.0"
+    )
+    guardrail_max_retries: int = Field(
+        default=3,
+        description="Maximum number of retries when guardrail fails"
     )
     retry_count: int = Field(default=0, description="Current number of retries")
     start_time: Optional[datetime.datetime] = Field(
@@ -354,6 +360,18 @@ class Task(BaseModel):
             )
         return self
 
+    @model_validator(mode="after")
+    def handle_max_retries_deprecation(self):
+        if self.max_retries is not None:
+            warnings.warn(
+                "The 'max_retries' parameter is deprecated and will be removed in CrewAI v1.0.0. "
+                "Please use 'guardrail_max_retries' instead.",
+                DeprecationWarning,
+                stacklevel=2
+            )
+            self.guardrail_max_retries = self.max_retries
+        return self
+
     def execute_sync(
         self,
         agent: Optional[BaseAgent] = None,
@@ -450,9 +468,9 @@ class Task(BaseModel):
                     retry_count=self.retry_count,
                 )
                 if not guardrail_result.success:
-                    if self.retry_count >= self.max_retries:
+                    if self.retry_count >= self.guardrail_max_retries:
                         raise Exception(
-                            f"Task failed guardrail validation after {self.max_retries} retries. "
+                            f"Task failed guardrail validation after {self.guardrail_max_retries} retries. "
                             f"Last error: {guardrail_result.error}"
                         )
 

tests/test_crew.py

@@ -4150,7 +4150,7 @@ def test_crew_with_failing_task_guardrails():
         expected_output="A properly formatted report",
         agent=researcher,
         guardrail=strict_format_guardrail,
-        max_retries=3,
+        guardrail_max_retries=3,
     )
 
     crew = Crew(
@@ -4196,7 +4196,7 @@ def test_crew_guardrail_feedback_in_context():
         expected_output="A response containing the keyword 'IMPORTANT'",
         agent=researcher,
         guardrail=format_guardrail,
-        max_retries=2,
+        guardrail_max_retries=2,
     )
 
     crew = Crew(agents=[researcher], tasks=[task])

tests/test_task_guardrails.py

@@ -61,7 +61,7 @@ def test_task_with_failing_guardrail():
         description="Test task",
         expected_output="Output",
         guardrail=guardrail,
-        max_retries=1,
+        guardrail_max_retries=1,
     )
 
     # First execution fails guardrail, second succeeds
@@ -88,7 +88,7 @@ def test_task_with_guardrail_retries():
         description="Test task",
         expected_output="Output",
         guardrail=guardrail,
-        max_retries=2,
+        guardrail_max_retries=2,
     )
 
     with pytest.raises(Exception) as exc_info:
@@ -113,7 +113,7 @@ def test_guardrail_error_in_context():
         description="Test task",
         expected_output="Output",
         guardrail=guardrail,
-        max_retries=1,
+        guardrail_max_retries=1,
     )
 
     # Mock execute_task to succeed on second attempt
@@ -265,7 +265,7 @@ def test_guardrail_when_an_error_occurs(sample_agent, task_output):
             agent=sample_agent,
             expected_output="A list of available books on the First World War",
             guardrail="Ensure the authors are from Italy",
-            max_retries=0,
+            guardrail_max_retries=0,
         )
         task.execute_sync(agent=sample_agent)