Skip to content

ListThesauriRequest

Source code in docs_src/capo_kendra/types/list_thesauri_request.py 
15
16
17
18
19
20
21
22
23
class ListThesauriRequest(TypedDict, closed=True):
    index_id: "capo_kendra.types.index_id.IndexId"
    """<p>The identifier of the index with one or more thesauri.</p>"""
    next_token: NotRequired["capo_kendra.types.next_token.NextToken"]
    """<p>If the previous response was incomplete (because there is more data to retrieve), Amazon Kendra returns a pagination token in the response. You can use this pagination token to retrieve the next set of thesauri (<code>ThesaurusSummaryItems</code>). </p>"""
    max_results: NotRequired[
        "capo_kendra.types.max_results_integer_for_list_thesauri_request.MaxResultsIntegerForListThesauriRequest"
    ]
    """<p>The maximum number of thesauri to return.</p>"""

index_id instance-attribute 

index_id: IndexId

The identifier of the index with one or more thesauri.

max_results instance-attribute 

max_results: NotRequired[MaxResultsIntegerForListThesauriRequest]

The maximum number of thesauri to return.

next_token instance-attribute 

next_token: NotRequired[NextToken]

If the previous response was incomplete (because there is more data to retrieve), Amazon Kendra returns a pagination token in the response. You can use this pagination token to retrieve the next set of thesauri (ThesaurusSummaryItems).