protected CloseableHttpClient httpClient;

    /** Cached availability status of the LLM provider. */
    protected volatile Boolean cachedAvailability = null;

    /** The scheduled task for periodic availability checks. */
    protected TimeoutTask availabilityCheckTask;

    /** Semaphore for limiting concurrent LLM requests. Initialized lazily in init(). */
    protected volatile Semaphore concurrencyLimiter;

 * entries may be counted in {@link Cache#size}, but will never be visible to read or write
 * operations.
 *
 * <p>Certain cache configurations will result in the accrual of periodic maintenance tasks which
 * will be performed during write operations, or during occasional read operations in the absence of
 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but

    - `apiserver_flowcontrol_demand_seats_high_watermark`: High watermark, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_average`: Time-weighted average, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_stdev`: Time-weighted standard deviation, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_smoothed`: Smoothed seat demands

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labels.facet_timestamp_1week=Afgelopen week
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                    end = moment(options.ranges[range][1]);

                // If the start or end date exceed those allowed by the minDate or maxSpan
                // options, shorten the range to the allowable period.
                if (this.minDate && start.isBefore(this.minDate))
                    start = this.minDate.clone();

                var maxDate = this.maxDate;

- A pod that the Kubelet rejects was still considered as being accepted for a brief period of time after rejection, which might cause some pods to be rejected briefly that could fit on the node.  A pod that is still terminating (but has status indicating it has failed) may also still be consuming resources and so should also be considered....

A survey conducted in early 2019 by the working group (WG) Long Term Support (LTS) showed that a significant subset of Kubernetes end-users fail to upgrade within the previous 9-month support period. 
A yearly support period provides the cushion end-users appear to desire, and is more in harmony with familiar annual planning cycles.

## Known Issues

				}
			}
		}()
	}

	r := rand.New(rand.NewSource(time.Now().UnixNano()))

	// Calculate the waitInterval between periodic refreshes so that each server
	// independently picks a (uniformly distributed) random time in an interval
	// of size = baseInterval.
	//
	// For example:
	//

### Other notable changes

* Addresses vSphere Volume Attach limits ([#29881](https://github.com/kubernetes/kubernetes/pull/29881), [@dagnello](https://github.com/dagnello))
* Increase request timeout based on termination grace period ([#31275](https://github.com/kubernetes/kubernetes/pull/31275), [@dims](https://github.com/dims))

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