[ aws . lex-models ]

get-bot

Description

Returns metadata information for a specific bot. You must provide the bot name and the bot version or alias.

This operation requires permissions for the lex:GetBot action.

See also: AWS API Documentation

Synopsis

  get-bot
--name <value>
--version-or-alias <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options

--name (string)

The name of the bot. The name is case sensitive.

--version-or-alias (string)

The version or alias of the bot.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

• json
• text
• table
• yaml
• yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

• on
• off
• auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

• base64
• raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Output

name -> (string)

The name of the bot.

description -> (string)

A description of the bot.

intents -> (list)

An array of intent objects. For more information, see PutBot .

(structure)

Identifies the specific version of an intent.

intentName -> (string)

The name of the intent.

intentVersion -> (string)

The version of the intent.

enableModelImprovements -> (boolean)

Indicates whether the bot uses accuracy improvements. true indicates that the bot is using the improvements, otherwise, false .

nluIntentConfidenceThreshold -> (double)

The score that determines where Amazon Lex inserts the AMAZON.FallbackIntent , AMAZON.KendraSearchIntent , or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent is inserted if the confidence score for all intents is below this value. AMAZON.KendraSearchIntent is only inserted if it is configured for the bot.

clarificationPrompt -> (structure)

The message Amazon Lex uses when it doesn’t understand the user’s request. For more information, see PutBot .

messages -> (list)

An array of objects, each of which provides a message string and its type. You can specify the message string in plain text or in Speech Synthesis Markup Language (SSML).

(structure)

The message object that provides the message text and its type.

contentType -> (string)

The content type of the message string.

content -> (string)

The text of the message.

groupNumber -> (integer)

Identifies the message group that the message belongs to. When a group is assigned to a message, Amazon Lex returns one message from each group in the response.

maxAttempts -> (integer)

The number of times to prompt the user for information.

responseCard -> (string)

A response card. Amazon Lex uses this prompt at runtime, in the PostText API response. It substitutes session attributes and slot values for placeholders in the response card. For more information, see ex-resp-card .

abortStatement -> (structure)

The message that Amazon Lex returns when the user elects to end the conversation without completing it. For more information, see PutBot .

messages -> (list)

A collection of message objects.

(structure)

The message object that provides the message text and its type.

contentType -> (string)

The content type of the message string.

content -> (string)

The text of the message.

groupNumber -> (integer)

Identifies the message group that the message belongs to. When a group is assigned to a message, Amazon Lex returns one message from each group in the response.

responseCard -> (string)

At runtime, if the client is using the PostText API, Amazon Lex includes the response card in the response. It substitutes all of the session attributes and slot values for placeholders in the response card.

status -> (string)

The status of the bot.

When the status is BUILDING Amazon Lex is building the bot for testing and use.

If the status of the bot is READY_BASIC_TESTING , you can test the bot using the exact utterances specified in the bot’s intents. When the bot is ready for full testing or to run, the status is READY .

If there was a problem with building the bot, the status is FAILED and the failureReason field explains why the bot did not build.

If the bot was saved but not built, the status is NOT_BUILT .

failureReason -> (string)

If status is FAILED , Amazon Lex explains why it failed to build the bot.

lastUpdatedDate -> (timestamp)

The date that the bot was updated. When you create a resource, the creation date and last updated date are the same.

createdDate -> (timestamp)

The date that the bot was created.

idleSessionTTLInSeconds -> (integer)

The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. For more information, see PutBot .

voiceId -> (string)

The Amazon Polly voice ID that Amazon Lex uses for voice interaction with the user. For more information, see PutBot .

checksum -> (string)

Checksum of the bot used to identify a specific revision of the bot’s $LATEST version.

version -> (string)

The version of the bot. For a new bot, the version is always $LATEST .

locale -> (string)

The target locale for the bot.

childDirected -> (boolean)

For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children’s Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.

If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.

detectSentiment -> (boolean)

Indicates whether user utterances should be sent to Amazon Comprehend for sentiment analysis.