Currently using as_index=False only includes in-axis groupers (see #49519). Defining a Grouper by the key argument is in-axis, but not regarded as such.
df = pd.DataFrame({'a': [1, 1, 2], 'b': [1, 1, 2], 'c': [3, 4, 5]})
gb = df.groupby([pd.Grouper(key='a'), pd.Grouper(key='b')], as_index=False)
result = gb.sum()
print(result)
# c
# 0 7
# 1 5
gb2 = df.groupby(['a', 'b'], as_index=False)
result2 = gb2.sum()
print(result2)
# a b c
# 0 1 1 7
# 1 2 2 5
The 1st case above should match the output of the 2nd case.
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