refactor: update dependency markers in uv.lock for platform compatibility

- Enhanced dependency markers for , , , and others to ensure compatibility across different platforms (Linux, Darwin, and architecture-specific conditions).
- Removed unnecessary event emission in the  class during kickoff.
- Cleaned up commented-out code in the  class for better readability and maintainability.

lib/crewai/src/crewai/agent/core.py

@@ -33,9 +33,8 @@ from crewai.agent.utils import (
 )
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.agents.cache.cache_handler import CacheHandler
-
-# from crewai.agents.crew_agent_executor import CrewAgentExecutor
-# from crewai.agents.crew_agent_executor_flow import CrewAgentExecutorFlow
+from crewai.agents.crew_agent_executor import CrewAgentExecutor
+from crewai.agents.crew_agent_executor_flow import CrewAgentExecutorFlow
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.knowledge_events import (
     KnowledgeQueryCompletedEvent,
@@ -223,10 +222,10 @@ class Agent(BaseAgent):
         default=None,
         description="A2A (Agent-to-Agent) configuration for delegating tasks to remote agents. Can be a single A2AConfig or a dict mapping agent IDs to configs.",
     )
-    # agent_executor_class: CrewAgentExecutorFlow | CrewAgentExecutor = Field(
-    #     default=CrewAgentExecutor,
-    #     description="Class to use for the agent executor.",
-    # )
+    agent_executor_class: type[CrewAgentExecutor] | type[CrewAgentExecutorFlow] = Field(
+        default=CrewAgentExecutor,
+        description="Class to use for the agent executor. Defaults to CrewAgentExecutor, can optionally use CrewAgentExecutorFlow.",
+    )
 
     @model_validator(mode="before")
     def validate_from_repository(cls, v: Any) -> dict[str, Any] | None | Any:  # noqa: N805
@@ -741,10 +740,8 @@ class Agent(BaseAgent):
                 rpm_limit_fn=rpm_limit_fn,
             )
         else:
-            from crewai.agents.crew_agent_executor_flow import CrewAgentExecutorFlow
-
-            self.agent_executor = CrewAgentExecutorFlow(
-                llm=self.llm,
+            self.agent_executor = self.agent_executor_class(
+                llm=cast(BaseLLM, self.llm),
                 task=task,
                 agent=self,
                 crew=self.crew,

lib/crewai/src/crewai/crew.py

@@ -55,7 +55,6 @@ from crewai.events.listeners.tracing.utils import (
 from crewai.events.types.crew_events import (
     CrewKickoffCompletedEvent,
     CrewKickoffFailedEvent,
-    CrewKickoffStartedEvent,
     CrewTestCompletedEvent,
     CrewTestFailedEvent,
     CrewTestStartedEvent,
@@ -711,37 +710,6 @@ class Crew(FlowTrackable, BaseModel):
         try:
             inputs = prepare_kickoff(self, inputs)
 
-            crewai_event_bus.emit(
-                self,
-                CrewKickoffStartedEvent(crew_name=self.name, inputs=inputs),
-            )
-
-            # Starts the crew to work on its assigned tasks.
-            self._task_output_handler.reset()
-            self._logging_color = "bold_purple"
-
-            if inputs is not None:
-                self._inputs = inputs
-                self._interpolate_inputs(inputs)
-            self._set_tasks_callbacks()
-            self._set_allow_crewai_trigger_context_for_first_task()
-
-            for agent in self.agents:
-                agent.crew = self
-                agent.set_knowledge(crew_embedder=self.embedder)
-                # TODO: Create an AgentFunctionCalling protocol for future refactoring
-                if not agent.function_calling_llm:  # type: ignore # "BaseAgent" has no attribute "function_calling_llm"
-                    agent.function_calling_llm = self.function_calling_llm  # type: ignore # "BaseAgent" has no attribute "function_calling_llm"
-
-                if not agent.step_callback:  # type: ignore # "BaseAgent" has no attribute "step_callback"
-                    agent.step_callback = self.step_callback  # type: ignore # "BaseAgent" has no attribute "step_callback"
-
-                # agent.create_agent_executor() # TODO: properly remove this or not
-
-            if self.planning:
-                self._handle_crew_planning()
-            inputs = prepare_kickoff(self, inputs)
-
             if self.process == Process.sequential:
                 result = self._run_sequential_process()
             elif self.process == Process.hierarchical: