idx = i
		}
	} else {
		idx = globalEndpoints.GetPoolIdx(v)
	}

	if idx == -1 {
		apiErr := toAdminAPIErr(ctx, errInvalidArgument)
		apiErr.Description = fmt.Sprintf("specified pool '%s' not found, please specify a valid pool", v)
		// We didn't find any matching pools, invalid input
		writeErrorResponseJSON(ctx, w, apiErr, r.URL)
		return
	}

	status, err := pools.Status(r.Context(), idx)
	if err != nil {

	doneCh := make(chan error, 1)
	defer xioutil.SafeClose(doneCh)

	// Save rebalance.bin periodically.
	go func() {
		// Update rebalance.bin periodically once every 5-10s, chosen randomly
		// to avoid multiple pool leaders herding to update around the same
		// time.
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		randSleepFor := func() time.Duration {
			return 5*time.Second + time.Duration(float64(5*time.Second)*r.Float64())
		}

* Improved **correctness** in corner cases.
* **Safer** types.
* Better **performance** and **less energy** consumption.
* Better **extensibility**.
* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀