### Apache Airflow version

2.5.2

### What happened

Not sure if this is a feature not a bug, but I can use KubernetesPodOperator fine without setting a kubernetes_conn_id.
For example:
```
start = KubernetesPodOperator(
        namespace="mynamespace",
        cluster_context="mycontext",
        security_context={ 'runAsUser': 1000 },
        name="hello",
        image="busybox",
        image_pull_secrets=[k8s.V1LocalObjectReference('prodregistry')],
        cmds=["sh", "-cx"],
        arguments=["echo Start"],
        task_id="Start",
        in_cluster=False,
        is_delete_operator_pod=True,
        config_file="/home/airflow/.kube/config",
    )
```

But if I add deferrable=True to this it won't work. It seems to require an explicit kubernetes_conn_id (which we don't configure).

Is not possible to the deferrable version to work as the non deferrable one?

### What you think should happen instead

I hoped that kpo deferrable would work the same as non deferrable.

### How to reproduce

Use KPO with deferrable=True but no kubernetes_conn_id setting

### Operating System

Debian 11

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"Reading of logs interrupted with error %r; will retry. "
                    "Set log level to DEBUG for traceback.",
                    e,
                )
                self.log.debug(
                    "Traceback for interrupted logs read for pod %r",
                    pod.metadata.name,
                    exc_info=True,
                )
            return timestamp or since_time
        
        
        
        last_log_time = since_time
        while True:
            last_log_time = consume_logs(
                since_time=last_log_time, follow=follow, termination_timeout=post_termination_timeout
            )
            if not self.container_is_running(pod, container_name=container_name):
                return PodLoggingStatus(running=False, last_log_time=last_log_time)
            if not follow:
                return PodLoggingStatus(running=True, last_log_time=last_log_time)
            else:
                self.log.warning(
                    "Pod %s log read interrupted but container %s still running",
                    pod.metadata.name,
                    container_name,
                )
                time.sleep(1)
    def await_container_completion(self, pod: V1Pod, container_name: str) -> None: