Skip to content

PutSessionRequest

Source code in docs_src/capo_lex_runtime_service/types/put_session_request.py
class PutSessionRequest(TypedDict, closed=True):
    bot_name: "capo_lex_runtime_service.types.bot_name.BotName"
    """<p>The name of the bot that contains the session data.</p>"""
    bot_alias: "capo_lex_runtime_service.types.bot_alias.BotAlias"
    """<p>The alias in use for the bot that contains the session data.</p>"""
    user_id: "capo_lex_runtime_service.types.user_id.UserId"
    """<p>The ID of the client application user. Amazon Lex uses this to identify a user's conversation with your bot. </p>"""
    session_attributes: NotRequired[
        "capo_lex_runtime_service.types.string_map.StringMap"
    ]
    """<p>Map of key/value pairs representing the session-specific context information. It contains application information passed between Amazon Lex and a client application.</p>"""
    dialog_action: NotRequired[
        "capo_lex_runtime_service.types.dialog_action.DialogAction"
    ]
    """<p>Sets the next action that the bot should take to fulfill the conversation.</p>"""
    recent_intent_summary_view: NotRequired[
        "capo_lex_runtime_service.types.intent_summary_list.IntentSummaryList"
    ]
    """<p>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.</p> <p>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:</p> <ul> <li> <p> <code>intentName</code> </p> </li> <li> <p>slot names</p> </li> <li> <p> <code>slotToElict</code> </p> </li> </ul> <p>If you send the <code>recentIntentSummaryView</code> parameter in a <code>PutSession</code> request, the contents of the new summary view replaces the old summary view. For example, if a <code>GetSession</code> request returns three intents in the summary view and you call <code>PutSession</code> with one intent in the summary view, the next call to <code>GetSession</code> will only return one intent.</p>"""
    accept: NotRequired["capo_lex_runtime_service.types.accept.Accept"]
    """<p>The message that Amazon Lex returns in the response can be either text or speech based depending on the value of this field.</p> <ul> <li> <p>If the value is <code>text/plain; charset=utf-8</code>, Amazon Lex returns text in the response.</p> </li> <li> <p>If the value begins with <code>audio/</code>, 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 <code>audio/mpeg</code> as the value, Amazon Lex returns speech in the MPEG format.</p> </li> <li> <p>If the value is <code>audio/pcm</code>, the speech is returned as <code>audio/pcm</code> in 16-bit, little endian format.</p> </li> <li> <p>The following are the accepted values:</p> <ul> <li> <p> <code>audio/mpeg</code> </p> </li> <li> <p> <code>audio/ogg</code> </p> </li> <li> <p> <code>audio/pcm</code> </p> </li> <li> <p> <code>audio/*</code> (defaults to mpeg)</p> </li> <li> <p> <code>text/plain; charset=utf-8</code> </p> </li> </ul> </li> </ul>"""
    active_contexts: NotRequired[
        "capo_lex_runtime_service.types.active_contexts_list.ActiveContextsList"
    ]
    """<p>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,</p> <p>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.</p>"""

accept instance-attribute

accept: NotRequired[Accept]

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 MPEG format.

  • 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/mpeg

    • audio/ogg

    • audio/pcm

    • audio/* (defaults to mpeg)

    • text/plain; charset=utf-8

active_contexts instance-attribute

active_contexts: NotRequired[ActiveContextsList]

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.

bot_alias instance-attribute

bot_alias: BotAlias

The alias in use for the bot that contains the session data.

bot_name instance-attribute

bot_name: BotName

The name of the bot that contains the session data.

dialog_action instance-attribute

dialog_action: NotRequired[DialogAction]

Sets the next action that the bot should take to fulfill the conversation.

recent_intent_summary_view instance-attribute

recent_intent_summary_view: NotRequired[IntentSummaryList]

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:

  • intentName

  • slot names

  • slotToElict

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 GetSession request returns three intents in the summary view and you call PutSession with one intent in the summary view, the next call to GetSession will only return one intent.

session_attributes instance-attribute

session_attributes: NotRequired[StringMap]

Map of key/value pairs representing the session-specific context information. It contains application information passed between Amazon Lex and a client application.

user_id instance-attribute

user_id: UserId

The ID of the client application user. Amazon Lex uses this to identify a user's conversation with your bot.