async def iter_list_aggregated_utterances(
self,
bot_id: "capo_lex_models_v2.types.id.Id",
locale_id: "capo_lex_models_v2.types.locale_id.LocaleId",
aggregation_duration: "capo_lex_models_v2.types.utterance_aggregation_duration.UtteranceAggregationDuration",
*,
config_overrides: Optional[AsyncLexModelsV2ClientConfig] = None,
bot_alias_id: Optional[
"capo_lex_models_v2.types.bot_alias_id.BotAliasId"
] = None,
bot_version: Optional["capo_lex_models_v2.types.bot_version.BotVersion"] = None,
sort_by: Optional[
"capo_lex_models_v2.types.aggregated_utterances_sort_by.AggregatedUtterancesSortBy"
] = None,
filters: Optional[
"capo_lex_models_v2.types.aggregated_utterances_filters.AggregatedUtterancesFilters"
] = None,
max_results: Optional["capo_lex_models_v2.types.max_results.MaxResults"] = None,
next_token: Optional["capo_lex_models_v2.types.next_token.NextToken"] = None,
) -> "AsyncIterator[capo_lex_models_v2.types.list_aggregated_utterances_response.ListAggregatedUtterancesResponse]":
_token = next_token
while True:
_response = await self.list_aggregated_utterances(
bot_id,
locale_id,
aggregation_duration,
config_overrides=config_overrides,
bot_alias_id=bot_alias_id,
bot_version=bot_version,
sort_by=sort_by,
filters=filters,
max_results=max_results,
next_token=_token,
)
yield _response
_token = _resolve_path(_response, ("next_token",))
if not _token:
break