TypeError: Expected a BytesBytesCodec. Got <class 'numcodecs.blosc.Blosc'> instead.

This code runs without any problems with zarr2, but give the following error when running with zarr3:

import pandas as pd
import numpy as np
import xarray as xr
from numcodecs.blosc import Blosc

ds = xr.Dataset(
    {"foo": (("x", "y"), np.random.rand(4, 5))},
    coords={
        "x": [10, 20, 30, 40],
        "y": pd.date_range("2000-01-01", periods=5),
        "z": ("x", list("abcd")),
    },
)

tmp_path = 'tmp.zarr'

# this works
ds.to_zarr(tmp_path, mode="w")
print('Saved to tmp.zarr')

# this does not work 
compressor = Blosc(cname="zstd", clevel=3, shuffle=2)
ds.to_zarr(tmp_path, encoding={"foo": {"compressor": compressor}}, mode="w")
print('Saved to tmp.zarr')

The error message is: TypeError: Expected a BytesBytesCodec. Got <class 'numcodecs.blosc.Blosc'> instead.
The same error occurs in the documentation: https://docs.xarray.dev/en/stable/user-guide/io.html#zarr-compressors-and-filters

Start by running the provided xarray Dataset and ds.to_zarr reproduction with the numcodecs Blosc compressor, then compare the zarr3 behavior with the zarr compressors and filters guidance at the linked documentation URL. Done means the reported compressor usage no longer raises the BytesBytesCodec TypeError and the documentation example is consistent with the supported behavior.