The message that Amazon Lex returns in the response can be either text or speech based depending on the value of this field.
If the value is
text/plain; charset=utf-8, Amazon Lex
returns text in the response.
If the value begins with
audio/, Amazon Lex returns speech
in the response. Amazon Lex uses Amazon Polly to generate the speech in the
configuration that you specify. For example, if you specify
audio/mpeg as the value, Amazon Lex returns speech in the
If the value is
audio/pcm, the speech is returned as
audio/pcm in 16-bit, little endian format.
The following are the accepted values:
audio/* (defaults to mpeg)
A list of contexts active for the request. A context can be activated when a previous intent is fulfilled, or by including the context in the request,
If you don't specify a list of contexts, Amazon Lex will use the current list of contexts for the session. If you specify an empty list, all contexts for the session are cleared.
The alias in use for the bot that contains the session data.
The name of the bot that contains the session data.
Sets the next action that the bot should take to fulfill the conversation.
A summary of the recent intents for the bot. You can use the intent summary view to set a checkpoint label on an intent and modify attributes of intents. You can also use it to remove or add intent summary objects to the list.
An intent that you modify or add to the list must make sense for the bot. For example, the intent name must be valid for the bot. You must provide valid values for:
If you send the
recentIntentSummaryView parameter in a
PutSession request, the contents of the new summary view
replaces the old summary view. For example, if a
request returns three intents in the summary view and you call
PutSession with one intent in the summary view, the next
GetSession will only return one intent.
Map of key/value pairs representing the session-specific context information. It contains application information passed between Amazon Lex and a client application.
The ID of the client application user. Amazon Lex uses this to identify a user's conversation with your bot.