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https://github.com/crewAIInc/crewAI.git
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Merge branch 'main' into bugfix/kickoff-for-each-usage-metrics
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@@ -77,6 +77,9 @@ class Agent(BaseAgent):
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default=None, description="Response format for the agent."
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)
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allow_code_execution: Optional[bool] = Field(
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default=False, description="Enable code execution for the agent."
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)
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allow_code_execution: Optional[bool] = Field(
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default=False, description="Enable code execution for the agent."
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)
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@@ -5,15 +5,15 @@ from typing import Any, Dict, List, Optional, Union
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from langchain_core.callbacks import BaseCallbackHandler
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from pydantic import (
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UUID4,
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BaseModel,
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ConfigDict,
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Field,
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InstanceOf,
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Json,
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PrivateAttr,
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field_validator,
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model_validator,
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UUID4,
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BaseModel,
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ConfigDict,
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Field,
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InstanceOf,
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Json,
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PrivateAttr,
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field_validator,
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model_validator,
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)
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from pydantic_core import PydanticCustomError
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@@ -404,6 +404,7 @@ class Crew(BaseModel):
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]
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if len(self.agents) > 1 and len(agents_for_delegation) > 0:
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task.tools += task.agent.get_delegation_tools(agents_for_delegation)
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task.tools += task.agent.get_delegation_tools(agents_for_delegation)
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role = task.agent.role if task.agent is not None else "None"
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self._logger.log("debug", f"== Working Agent: {role}", color="bold_purple")
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@@ -586,9 +587,3 @@ class Crew(BaseModel):
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def __repr__(self):
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return f"Crew(id={self.id}, process={self.process}, number_of_agents={len(self.agents)}, number_of_tasks={len(self.tasks)})"
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def aggregate_token_usage(self, token_usage_list: List[Dict[str, Any]]):
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return {
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key: sum([m[key] for m in token_usage_list if m is not None])
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for key in token_usage_list[0]
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}
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@@ -13,7 +13,9 @@ from pydantic_core import PydanticCustomError
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from crewai.agents.agent_builder.base_agent import BaseAgent
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from crewai.tasks.task_output import TaskOutput
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from crewai.telemetry.telemetry import Telemetry
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from crewai.utilities import I18N, ConverterError, Printer
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from crewai.utilities.converter import ConverterError
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from crewai.utilities.i18n import I18N
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from crewai.utilities.printer import Printer
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from crewai.utilities.pydantic_schema_parser import PydanticSchemaParser
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if TYPE_CHECKING:
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