

package Paws::LexRuntimeV2::GetSessionResponse;
  use Moose;
  has Interpretations => (is => 'ro', isa => 'ArrayRef[Paws::LexRuntimeV2::Interpretation]', traits => ['NameInRequest'], request_name => 'interpretations');
  has Messages => (is => 'ro', isa => 'ArrayRef[Paws::LexRuntimeV2::Message]', traits => ['NameInRequest'], request_name => 'messages');
  has SessionId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'sessionId');
  has SessionState => (is => 'ro', isa => 'Paws::LexRuntimeV2::SessionState', traits => ['NameInRequest'], request_name => 'sessionState');

  has _request_id => (is => 'ro', isa => 'Str');
1;

### main pod documentation begin ###

=head1 NAME

Paws::LexRuntimeV2::GetSessionResponse

=head1 ATTRIBUTES


=head2 Interpretations => ArrayRef[L<Paws::LexRuntimeV2::Interpretation>]

A list of intents that Amazon Lex V2 determined might satisfy the
user's utterance.

Each interpretation includes the intent, a score that indicates how
confident Amazon Lex V2 is that the interpretation is the correct one,
and an optional sentiment response that indicates the sentiment
expressed in the utterance.


=head2 Messages => ArrayRef[L<Paws::LexRuntimeV2::Message>]

A list of messages that were last sent to the user. The messages are
ordered based on the order that your returned the messages from your
Lambda function or the order that messages are defined in the bot.


=head2 SessionId => Str

The identifier of the returned session.


=head2 SessionState => L<Paws::LexRuntimeV2::SessionState>

Represents the current state of the dialog between the user and the
bot.

You can use this to determine the progress of the conversation and what
the next action might be.


=head2 _request_id => Str


=cut