Common structures in an AWS Lambda function for

Indicates whether the user has confirmed the slots for the intent and the intent is ready for fulfillment. The following values are possible:

Confirmed – The user confirms that the slot values are correct.

Denied – The user indicates that the slot values are incorrect.

None – The user has not reached the confirmation stage yet.

The name of the intent.

Information about the slots required to fulfill the intent. See Slots for details about the structure.

Indicates the fulfillment state for the intent. The following values are possible:

Failed – The bot failed to fulfill the intent.

Fulfilled – The bot has completed fulfillment of the intent.

FulfillmentInProgress – The bot is in the middle of fulfilling the intent.

InProgress – The bot is in the middle of eliciting the slot values that are necessary to fulfill the intent.

ReadyForFulfillment – The bot has elicited all the slot values for the intent and is ready to fulfill the intent.

Waiting – The bot is waiting for a response from the user (limited to streaming conversations).

Contains information about the results of the Kendra search query. This field only appears if the intent is a KendraSearchIntent. See the response syntax in the Query API call for Kendra for more information.

The shape of the slot. This value is List if there are multiple values in the slot (see Using multiple values in a slot for more details) and is Scalar otherwise.

An object containing information about the value that the user provided for a slot and Amazon Lex's interpretation, in the following format:

{
    "originalValue": string,
    "interpretedValue": string,
    "resolvedValues": [
        string,
        ...
    ]
}

The fields are described below:

A list of objects containing information about the slots that make up the multi-value slot. The format of each object matches that of a normal slot, with the shape and value fields described above. values only appears if the slot consists of multiple values (see Using multiple values in a slot for more details). The following JSON object shows two component slots:

"values": [
    {
        "shape": "Scalar",
        "value": {
            "originalValue": string,
            "interpretedValue": string,
            "resolvedValues": [
                string,
                ...
            ]
        }
    },
    {
        "shape": "Scalar",
        "value": {
            "originalValue": string,
            "interpretedValue": string,
            "resolvedValues": [
                string,
                ...
            ]
        }
    },
    ...
]

A list of objects containing information about a context that a user is using in a session. Use contexts to facilitate and control intent recognition. For more information about contexts, see Setting intent context for your Lex V2 bot. Each object is formatted as follows:

{
    "name": string,
    "contextAttributes": {
        string: string
    },
    "timeToLive": {
        "timeToLiveInSeconds": number,
        "turnsToLive": number
    }
}

The fields are described below:

A map of key/value pairs representing session-specific context information. For more information, see Setting session attributes for your Lex V2 bot. The object is formatted as follows:

{
    string: string,
    ...
}

Provides hints to the phrases that a customer is likely to use for a slot in order to improve audio recognition. The values that you provide in the hints boost audio recognition of those values over similar-sounding words. The format of the runtimeHints object is as follows:

{
    "slotHints": {
        intent name: {
            slot name: {
                "runtimeHintValues": [
                    {
                        "phrase": string
                    },
                    ...
                ]
            },
            ...
        },
        ...
    }
}

The slotHints field maps to an object whose fields are the names of the intents in the bot. Each intent name maps to an object whose fields are the names of the slots for that intent. Each slot name maps to a structure with a single field, runtimeHintValues, which is a list of objects. Each object contains a phrase field that maps to a hint.

Determines the next action for Amazon Lex V2 to take. The format of the object is as follows:

{
    "slotElicitationStyle": "Default | SpellByLetter | SpellByWord",
    "slotToElicit": string,
    "type": "Close | ConfirmIntent | Delegate | ElicitIntent | ElicitSlot"
}

The fields are described below:

See Intent for the structure of the intent field.

A unique identifier for the request. This field is optional for the Lambda response.