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https://github.com/crewAIInc/crewAI.git
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Move kickoff callbacks to crew's domain
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@@ -5,7 +5,7 @@ import uuid
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import warnings
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from concurrent.futures import Future
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from hashlib import md5
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
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from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
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from pydantic import (
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UUID4,
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@@ -36,9 +36,7 @@ from crewai.telemetry import Telemetry
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from crewai.tools.agent_tools.agent_tools import AgentTools
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from crewai.types.usage_metrics import UsageMetrics
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from crewai.utilities import I18N, FileHandler, Logger, RPMController
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from crewai.utilities.constants import (
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TRAINING_DATA_FILE,
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)
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from crewai.utilities.constants import TRAINING_DATA_FILE
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from crewai.utilities.evaluators.crew_evaluator_handler import CrewEvaluator
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from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
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from crewai.utilities.formatter import (
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@@ -165,6 +163,16 @@ class Crew(BaseModel):
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default=None,
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description="Callback to be executed after each task for all agents execution.",
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)
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before_kickoff_callbacks: List[
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Callable[[Optional[Dict[str, Any]]], Optional[Dict[str, Any]]]
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] = Field(
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default_factory=list,
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description="List of callbacks to be executed before crew kickoff. It may be used to adjust inputs before the crew is executed.",
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)
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after_kickoff_callbacks: List[Callable[[CrewOutput], CrewOutput]] = Field(
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default_factory=list,
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description="List of callbacks to be executed after crew kickoff. It may be used to adjust the output of the crew.",
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)
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max_rpm: Optional[int] = Field(
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default=None,
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description="Maximum number of requests per minute for the crew execution to be respected.",
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@@ -478,6 +486,9 @@ class Crew(BaseModel):
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self,
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inputs: Optional[Dict[str, Any]] = None,
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) -> CrewOutput:
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for callback in self.before_kickoff_callbacks:
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inputs = callback(inputs)
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"""Starts the crew to work on its assigned tasks."""
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self._execution_span = self._telemetry.crew_execution_span(self, inputs)
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self._task_output_handler.reset()
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@@ -520,6 +531,9 @@ class Crew(BaseModel):
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f"The process '{self.process}' is not implemented yet."
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)
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for callback in self.after_kickoff_callbacks:
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result = callback(result)
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metrics += [agent._token_process.get_summary() for agent in self.agents]
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self.usage_metrics = UsageMetrics()
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