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import json
import uuid
from typing import Any, Dict, List, Optional, Union
from pydantic import (
UUID4,
BaseModel,
ConfigDict,
Field,
InstanceOf,
Json,
PrivateAttr,
field_validator,
model_validator,
)
from pydantic_core import PydanticCustomError
from crewai.agent import Agent
from crewai.agents.cache import CacheHandler
from crewai.process import Process
from crewai.task import Task
from crewai.telemtry import Telemetry
from crewai.tools.agent_tools import AgentTools
from crewai.utilities import I18N, Logger, RPMController
class Crew(BaseModel):
"""
Represents a group of agents, defining how they should collaborate and the tasks they should perform.
Attributes:
tasks: List of tasks assigned to the crew.
agents: List of agents part of this crew.
manager_llm: The language model that will run manager agent.
process: The process flow that the crew will follow (e.g., sequential).
verbose: Indicates the verbosity level for logging during execution.
config: Configuration settings for the crew.
_cache_handler: Handles caching for the crew's operations.
max_rpm: Maximum number of requests per minute for the crew execution to be respected.
id: A unique identifier for the crew instance.
"""
__hash__ = object.__hash__ # type: ignore
_rpm_controller: RPMController = PrivateAttr()
_logger: Logger = PrivateAttr()
_cache_handler: InstanceOf[CacheHandler] = PrivateAttr(default=CacheHandler())
model_config = ConfigDict(arbitrary_types_allowed=True)
tasks: List[Task] = Field(default_factory=list)
agents: List[Agent] = Field(default_factory=list)
process: Process = Field(default=Process.sequential)
verbose: Union[int, bool] = Field(default=0)
manager_llm: Optional[Any] = Field(
description="Language model that will run the agent.", default=None
)
config: Optional[Union[Json, Dict[str, Any]]] = Field(default=None)
id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True)
max_rpm: Optional[int] = Field(
default=None,
description="Maximum number of requests per minute for the crew execution to be respected.",
)
language: str = Field(
default="en",
description="Language used for the crew, defaults to English.",
)
@field_validator("id", mode="before")
@classmethod
def _deny_user_set_id(cls, v: Optional[UUID4]) -> None:
"""Prevent manual setting of the 'id' field by users."""
if v:
raise PydanticCustomError(
"may_not_set_field", "The 'id' field cannot be set by the user.", {}
)
@field_validator("config", mode="before")
@classmethod
def check_config_type(
cls, v: Union[Json, Dict[str, Any]]
) -> Union[Json, Dict[str, Any]]:
"""Validates that the config is a valid type.
Args:
v: The config to be validated.
Returns:
The config if it is valid.
"""
# TODO: Improve typing
return json.loads(v) if isinstance(v, Json) else v # type: ignore
@model_validator(mode="after")
def set_private_attrs(self) -> "Crew":
"""Set private attributes."""
self._cache_handler = CacheHandler()
self._logger = Logger(self.verbose)
self._rpm_controller = RPMController(max_rpm=self.max_rpm, logger=self._logger)
self._telemetry = Telemetry()
self._telemetry.crew_creation(self)
return self
@model_validator(mode="after")
def check_manager_llm(self):
"""Validates that the language model is set when using hierarchical process."""
if self.process == Process.hierarchical and not self.manager_llm:
raise PydanticCustomError(
"missing_manager_llm",
"Attribute `manager_llm` is required when using hierarchical process.",
{},
)
return self
@model_validator(mode="after")
def check_config(self):
"""Validates that the crew is properly configured with agents and tasks."""
if not self.config and not self.tasks and not self.agents:
raise PydanticCustomError(
"missing_keys",
"Either 'agents' and 'tasks' need to be set or 'config'.",
{},
)
if self.config:
self._setup_from_config()
if self.agents:
for agent in self.agents:
agent.set_cache_handler(self._cache_handler)
if self.max_rpm:
agent.set_rpm_controller(self._rpm_controller)
return self
def _setup_from_config(self):
assert self.config is not None, "Config should not be None."
"""Initializes agents and tasks from the provided config."""
if not self.config.get("agents") or not self.config.get("tasks"):
raise PydanticCustomError(
"missing_keys_in_config", "Config should have 'agents' and 'tasks'.", {}
)
self.agents = [Agent(**agent) for agent in self.config["agents"]]
self.tasks = [self._create_task(task) for task in self.config["tasks"]]
def _create_task(self, task_config: Dict[str, Any]) -> Task:
"""Creates a task instance from its configuration.
Args:
task_config: The configuration of the task.
Returns:
A task instance.
"""
task_agent = next(
agt for agt in self.agents if agt.role == task_config["agent"]
)
del task_config["agent"]
return Task(**task_config, agent=task_agent)
def kickoff(self) -> str:
"""Starts the crew to work on its assigned tasks."""
for agent in self.agents:
agent.i18n = I18N(language=self.language)
if self.process == Process.sequential:
return self._run_sequential_process()
if self.process == Process.hierarchical:
return self._run_hierarchical_process()
raise NotImplementedError(
f"The process '{self.process}' is not implemented yet."
)
def _run_sequential_process(self) -> str:
"""Executes tasks sequentially and returns the final output."""
task_output = ""
for task in self.tasks:
if task.agent is not None and task.agent.allow_delegation:
agents_for_delegation = [
agent for agent in self.agents if agent != task.agent
]
task.tools += AgentTools(agents=agents_for_delegation).tools()
role = task.agent.role if task.agent is not None else "None"
self._logger.log("debug", f"Working Agent: {role}")
self._logger.log("info", f"Starting Task: {task.description}")
output = task.execute(context=task_output)
if not task.async_execution:
task_output = output
role = task.agent.role if task.agent is not None else "None"
self._logger.log("debug", f"[{role}] Task output: {task_output}\n\n")
if self.max_rpm:
self._rpm_controller.stop_rpm_counter()
return task_output
def _run_hierarchical_process(self) -> str:
"""Creates and assigns a manager agent to make sure the crew completes the tasks."""
i18n = I18N(language=self.language)
manager = Agent(
role=i18n.retrieve("hierarchical_manager_agent", "role"),
goal=i18n.retrieve("hierarchical_manager_agent", "goal"),
backstory=i18n.retrieve("hierarchical_manager_agent", "backstory"),
tools=AgentTools(agents=self.agents).tools(),
llm=self.manager_llm,
verbose=True,
)
task_output = ""
for task in self.tasks:
self._logger.log("debug", f"Working Agent: {manager.role}")
self._logger.log("info", f"Starting Task: {task.description}")
task_output = task.execute(
agent=manager, context=task_output, tools=manager.tools
)
self._logger.log(
"debug", f"[{manager.role}] Task output: {task_output}\n\n"
)
if self.max_rpm:
self._rpm_controller.stop_rpm_counter()
return task_output
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