Table of Contents
LexModelBuildingService.
Client
¶A low-level client representing Amazon Lex Model Building Service
Amazon Lex is an AWS service for building conversational voice and text interfaces. Use these actions to create, update, and delete conversational bots for new and existing client applications.
import boto3
client = boto3.client('lex-models')
These are the available methods:
can_paginate()
close()
create_bot_version()
create_intent_version()
create_slot_type_version()
delete_bot()
delete_bot_alias()
delete_bot_channel_association()
delete_bot_version()
delete_intent()
delete_intent_version()
delete_slot_type()
delete_slot_type_version()
delete_utterances()
get_bot()
get_bot_alias()
get_bot_aliases()
get_bot_channel_association()
get_bot_channel_associations()
get_bot_versions()
get_bots()
get_builtin_intent()
get_builtin_intents()
get_builtin_slot_types()
get_export()
get_import()
get_intent()
get_intent_versions()
get_intents()
get_migration()
get_migrations()
get_paginator()
get_slot_type()
get_slot_type_versions()
get_slot_types()
get_utterances_view()
get_waiter()
list_tags_for_resource()
put_bot()
put_bot_alias()
put_intent()
put_slot_type()
start_import()
start_migration()
tag_resource()
untag_resource()
can_paginate
(operation_name)¶Check if an operation can be paginated.
create_foo
, and you'd normally invoke the
operation as client.create_foo(**kwargs)
, if the
create_foo
operation can be paginated, you can use the
call client.get_paginator("create_foo")
.True
if the operation can be paginated,
False
otherwise.close
()¶Closes underlying endpoint connections.
create_bot_version
(**kwargs)¶Creates a new version of the bot based on the $LATEST
version. If the $LATEST
version of this resource hasn't changed since you created the last version, Amazon Lex doesn't create a new version. It returns the last created version.
Note
You can update only the $LATEST
version of the bot. You can't update the numbered versions that you create with the CreateBotVersion
operation.
When you create the first version of a bot, Amazon Lex sets the version to 1. Subsequent versions increment by 1. For more information, see versioning-intro .
This operation requires permission for the lex:CreateBotVersion
action.
See also: AWS API Documentation
Request Syntax
response = client.create_bot_version(
name='string',
checksum='string'
)
[REQUIRED]
The name of the bot that you want to create a new version of. The name is case sensitive.
$LATEST
version of the bot. If you specify a checksum and the $LATEST
version of the bot has a different checksum, a PreconditionFailedException
exception is returned and Amazon Lex doesn't publish a new version. If you don't specify a checksum, Amazon Lex publishes the $LATEST
version.dict
Response Syntax
{
'name': 'string',
'description': 'string',
'intents': [
{
'intentName': 'string',
'intentVersion': 'string'
},
],
'clarificationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'abortStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'failureReason': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'idleSessionTTLInSeconds': 123,
'voiceId': 'string',
'checksum': 'string',
'version': 'string',
'locale': 'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
'childDirected': True|False,
'enableModelImprovements': True|False,
'detectSentiment': True|False
}
Response Structure
(dict) --
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 .
(dict) --
Identifies the specific version of an intent.
intentName (string) --
The name of the intent.
intentVersion (string) --
The version of the intent.
clarificationPrompt (dict) --
The message that 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).
(dict) --
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 (dict) --
The message that Amazon Lex uses to cancel a conversation. For more information, see PutBot .
messages (list) --
A collection of message objects.
(dict) --
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) --
When you send a request to create or update a bot, Amazon Lex sets the status
response element to BUILDING
. After Amazon Lex builds the bot, it sets status
to READY
. If Amazon Lex can't build the bot, it sets status
to FAILED
. Amazon Lex returns the reason for the failure in the failureReason
response element.
failureReason (string) --
If status
is FAILED
, Amazon Lex provides the reason that it failed to build the bot.
lastUpdatedDate (datetime) --
The date when the $LATEST
version of this bot was updated.
createdDate (datetime) --
The date when the bot version 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 interactions with the user.
checksum (string) --
Checksum identifying the version of the bot that was created.
version (string) --
The version of the bot.
locale (string) --
Specifies 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.
enableModelImprovements (boolean) --
Indicates whether the bot uses accuracy improvements. true
indicates that the bot is using the improvements, otherwise, false
.
detectSentiment (boolean) --
Indicates whether utterances entered by the user should be sent to Amazon Comprehend for sentiment analysis.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
create_intent_version
(**kwargs)¶Creates a new version of an intent based on the $LATEST
version of the intent. If the $LATEST
version of this intent hasn't changed since you last updated it, Amazon Lex doesn't create a new version. It returns the last version you created.
Note
You can update only the $LATEST
version of the intent. You can't update the numbered versions that you create with the CreateIntentVersion
operation.
When you create a version of an intent, Amazon Lex sets the version to 1. Subsequent versions increment by 1. For more information, see versioning-intro .
This operation requires permissions to perform the lex:CreateIntentVersion
action.
See also: AWS API Documentation
Request Syntax
response = client.create_intent_version(
name='string',
checksum='string'
)
[REQUIRED]
The name of the intent that you want to create a new version of. The name is case sensitive.
$LATEST
version of the intent that should be used to create the new version. If you specify a checksum and the $LATEST
version of the intent has a different checksum, Amazon Lex returns a PreconditionFailedException
exception and doesn't publish a new version. If you don't specify a checksum, Amazon Lex publishes the $LATEST
version.dict
Response Syntax
{
'name': 'string',
'description': 'string',
'slots': [
{
'name': 'string',
'description': 'string',
'slotConstraint': 'Required'|'Optional',
'slotType': 'string',
'slotTypeVersion': 'string',
'valueElicitationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'priority': 123,
'sampleUtterances': [
'string',
],
'responseCard': 'string',
'obfuscationSetting': 'NONE'|'DEFAULT_OBFUSCATION',
'defaultValueSpec': {
'defaultValueList': [
{
'defaultValue': 'string'
},
]
}
},
],
'sampleUtterances': [
'string',
],
'confirmationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'followUpPrompt': {
'prompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
}
},
'conclusionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'dialogCodeHook': {
'uri': 'string',
'messageVersion': 'string'
},
'fulfillmentActivity': {
'type': 'ReturnIntent'|'CodeHook',
'codeHook': {
'uri': 'string',
'messageVersion': 'string'
}
},
'parentIntentSignature': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string',
'checksum': 'string',
'kendraConfiguration': {
'kendraIndex': 'string',
'queryFilterString': 'string',
'role': 'string'
},
'inputContexts': [
{
'name': 'string'
},
],
'outputContexts': [
{
'name': 'string',
'timeToLiveInSeconds': 123,
'turnsToLive': 123
},
]
}
Response Structure
(dict) --
name (string) --
The name of the intent.
description (string) --
A description of the intent.
slots (list) --
An array of slot types that defines the information required to fulfill the intent.
(dict) --
Identifies the version of a specific slot.
name (string) --
The name of the slot.
description (string) --
A description of the slot.
slotConstraint (string) --
Specifies whether the slot is required or optional.
slotType (string) --
The type of the slot, either a custom slot type that you defined or one of the built-in slot types.
slotTypeVersion (string) --
The version of the slot type.
valueElicitationPrompt (dict) --
The prompt that Amazon Lex uses to elicit the slot value from the user.
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).
(dict) --
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 .
priority (integer) --
Directs Amazon Lex the order in which to elicit this slot value from the user. For example, if the intent has two slots with priorities 1 and 2, AWS Amazon Lex first elicits a value for the slot with priority 1.
If multiple slots share the same priority, the order in which Amazon Lex elicits values is arbitrary.
sampleUtterances (list) --
If you know a specific pattern with which users might respond to an Amazon Lex request for a slot value, you can provide those utterances to improve accuracy. This is optional. In most cases, Amazon Lex is capable of understanding user utterances.
responseCard (string) --
A set of possible responses for the slot type used by text-based clients. A user chooses an option from the response card, instead of using text to reply.
obfuscationSetting (string) --
Determines whether a slot is obfuscated in conversation logs and stored utterances. When you obfuscate a slot, the value is replaced by the slot name in curly braces ({}). For example, if the slot name is "full_name", obfuscated values are replaced with "{full_name}". For more information, see Slot Obfuscation .
defaultValueSpec (dict) --
A list of default values for the slot. Default values are used when Amazon Lex hasn't determined a value for a slot. You can specify default values from context variables, session attributes, and defined values.
defaultValueList (list) --
The default values for a slot. You can specify more than one default. For example, you can specify a default value to use from a matching context variable, a session attribute, or a fixed value.
The default value chosen is selected based on the order that you specify them in the list. For example, if you specify a context variable and a fixed value in that order, Amazon Lex uses the context variable if it is available, else it uses the fixed value.
(dict) --
A default value for a slot.
defaultValue (string) --
The default value for the slot. You can specify one of the following:
#context-name.slot-name
- The slot value "slot-name" in the context "context-name."{attribute}
- The slot value of the session attribute "attribute."'value'
- The discrete value "value."sampleUtterances (list) --
An array of sample utterances configured for the intent.
confirmationPrompt (dict) --
If defined, the prompt that Amazon Lex uses to confirm the user's intent before fulfilling it.
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).
(dict) --
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 .
rejectionStatement (dict) --
If the user answers "no" to the question defined in confirmationPrompt
, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
messages (list) --
A collection of message objects.
(dict) --
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.
followUpPrompt (dict) --
If defined, Amazon Lex uses this prompt to solicit additional user activity after the intent is fulfilled.
prompt (dict) --
Prompts for information from the user.
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).
(dict) --
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 .
rejectionStatement (dict) --
If the user answers "no" to the question defined in the prompt
field, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
messages (list) --
A collection of message objects.
(dict) --
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.
conclusionStatement (dict) --
After the Lambda function specified in the fulfillmentActivity
field fulfills the intent, Amazon Lex conveys this statement to the user.
messages (list) --
A collection of message objects.
(dict) --
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.
dialogCodeHook (dict) --
If defined, Amazon Lex invokes this Lambda function for each user input.
uri (string) --
The Amazon Resource Name (ARN) of the Lambda function.
messageVersion (string) --
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
fulfillmentActivity (dict) --
Describes how the intent is fulfilled.
type (string) --
How the intent should be fulfilled, either by running a Lambda function or by returning the slot data to the client application.
codeHook (dict) --
A description of the Lambda function that is run to fulfill the intent.
uri (string) --
The Amazon Resource Name (ARN) of the Lambda function.
messageVersion (string) --
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
parentIntentSignature (string) --
A unique identifier for a built-in intent.
lastUpdatedDate (datetime) --
The date that the intent was updated.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version number assigned to the new version of the intent.
checksum (string) --
Checksum of the intent version created.
kendraConfiguration (dict) --
Configuration information, if any, for connecting an Amazon Kendra index with the AMAZON.KendraSearchIntent
intent.
kendraIndex (string) --
The Amazon Resource Name (ARN) of the Amazon Kendra index that you want the AMAZON.KendraSearchIntent intent to search. The index must be in the same account and Region as the Amazon Lex bot. If the Amazon Kendra index does not exist, you get an exception when you call the PutIntent
operation.
queryFilterString (string) --
A query filter that Amazon Lex sends to Amazon Kendra to filter the response from the query. The filter is in the format defined by Amazon Kendra. For more information, see Filtering queries .
You can override this filter string with a new filter string at runtime.
role (string) --
The Amazon Resource Name (ARN) of an IAM role that has permission to search the Amazon Kendra index. The role must be in the same account and Region as the Amazon Lex bot. If the role does not exist, you get an exception when you call the PutIntent
operation.
inputContexts (list) --
An array of InputContext
objects that lists the contexts that must be active for Amazon Lex to choose the intent in a conversation with the user.
(dict) --
The name of a context that must be active for an intent to be selected by Amazon Lex.
name (string) --
The name of the context.
outputContexts (list) --
An array of OutputContext
objects that lists the contexts that the intent activates when the intent is fulfilled.
(dict) --
The specification of an output context that is set when an intent is fulfilled.
name (string) --
The name of the context.
timeToLiveInSeconds (integer) --
The number of seconds that the context should be active after it is first sent in a PostContent
or PostText
response. You can set the value between 5 and 86,400 seconds (24 hours).
turnsToLive (integer) --
The number of conversation turns that the context should be active. A conversation turn is one PostContent
or PostText
request and the corresponding response from Amazon Lex.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
create_slot_type_version
(**kwargs)¶Creates a new version of a slot type based on the $LATEST
version of the specified slot type. If the $LATEST
version of this resource has not changed since the last version that you created, Amazon Lex doesn't create a new version. It returns the last version that you created.
Note
You can update only the $LATEST
version of a slot type. You can't update the numbered versions that you create with the CreateSlotTypeVersion
operation.
When you create a version of a slot type, Amazon Lex sets the version to 1. Subsequent versions increment by 1. For more information, see versioning-intro .
This operation requires permissions for the lex:CreateSlotTypeVersion
action.
See also: AWS API Documentation
Request Syntax
response = client.create_slot_type_version(
name='string',
checksum='string'
)
[REQUIRED]
The name of the slot type that you want to create a new version for. The name is case sensitive.
$LATEST
version of the slot type that you want to publish. If you specify a checksum and the $LATEST
version of the slot type has a different checksum, Amazon Lex returns a PreconditionFailedException
exception and doesn't publish the new version. If you don't specify a checksum, Amazon Lex publishes the $LATEST
version.dict
Response Syntax
{
'name': 'string',
'description': 'string',
'enumerationValues': [
{
'value': 'string',
'synonyms': [
'string',
]
},
],
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string',
'checksum': 'string',
'valueSelectionStrategy': 'ORIGINAL_VALUE'|'TOP_RESOLUTION',
'parentSlotTypeSignature': 'string',
'slotTypeConfigurations': [
{
'regexConfiguration': {
'pattern': 'string'
}
},
]
}
Response Structure
(dict) --
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
enumerationValues (list) --
A list of EnumerationValue
objects that defines the values that the slot type can take.
(dict) --
Each slot type can have a set of values. Each enumeration value represents a value the slot type can take.
For example, a pizza ordering bot could have a slot type that specifies the type of crust that the pizza should have. The slot type could include the values
value (string) --
The value of the slot type.
synonyms (list) --
Additional values related to the slot type value.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a resource, the creation date and last update date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version assigned to the new slot type version.
checksum (string) --
Checksum of the $LATEST
version of the slot type.
valueSelectionStrategy (string) --
The strategy that Amazon Lex uses to determine the value of the slot. For more information, see PutSlotType .
parentSlotTypeSignature (string) --
The built-in slot type used a the parent of the slot type.
slotTypeConfigurations (list) --
Configuration information that extends the parent built-in slot type.
(dict) --
Provides configuration information for a slot type.
regexConfiguration (dict) --
A regular expression used to validate the value of a slot.
pattern (string) --
A regular expression used to validate the value of a slot.
Use a standard regular expression. Amazon Lex supports the following characters in the regular expression:
Represent Unicode characters with four digits, for example "u0041" or "u005A".
The following regular expression operators are not supported:
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
delete_bot
(**kwargs)¶Deletes all versions of the bot, including the $LATEST
version. To delete a specific version of the bot, use the DeleteBotVersion operation. The DeleteBot
operation doesn't immediately remove the bot schema. Instead, it is marked for deletion and removed later.
Amazon Lex stores utterances indefinitely for improving the ability of your bot to respond to user inputs. These utterances are not removed when the bot is deleted. To remove the utterances, use the DeleteUtterances operation.
If a bot has an alias, you can't delete it. Instead, the DeleteBot
operation returns a ResourceInUseException
exception that includes a reference to the alias that refers to the bot. To remove the reference to the bot, delete the alias. If you get the same exception again, delete the referring alias until the DeleteBot
operation is successful.
This operation requires permissions for the lex:DeleteBot
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_bot(
name='string'
)
[REQUIRED]
The name of the bot. The name is case sensitive.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_bot_alias
(**kwargs)¶Deletes an alias for the specified bot.
You can't delete an alias that is used in the association between a bot and a messaging channel. If an alias is used in a channel association, the DeleteBot
operation returns a ResourceInUseException
exception that includes a reference to the channel association that refers to the bot. You can remove the reference to the alias by deleting the channel association. If you get the same exception again, delete the referring association until the DeleteBotAlias
operation is successful.
See also: AWS API Documentation
Request Syntax
response = client.delete_bot_alias(
name='string',
botName='string'
)
[REQUIRED]
The name of the alias to delete. The name is case sensitive.
[REQUIRED]
The name of the bot that the alias points to.
None
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_bot_channel_association
(**kwargs)¶Deletes the association between an Amazon Lex bot and a messaging platform.
This operation requires permission for the lex:DeleteBotChannelAssociation
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_bot_channel_association(
name='string',
botName='string',
botAlias='string'
)
[REQUIRED]
The name of the association. The name is case sensitive.
[REQUIRED]
The name of the Amazon Lex bot.
[REQUIRED]
An alias that points to the specific version of the Amazon Lex bot to which this association is being made.
None
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
delete_bot_version
(**kwargs)¶Deletes a specific version of a bot. To delete all versions of a bot, use the DeleteBot operation.
This operation requires permissions for the lex:DeleteBotVersion
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_bot_version(
name='string',
version='string'
)
[REQUIRED]
The name of the bot.
[REQUIRED]
The version of the bot to delete. You cannot delete the $LATEST
version of the bot. To delete the $LATEST
version, use the DeleteBot operation.
None
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_intent
(**kwargs)¶Deletes all versions of the intent, including the $LATEST
version. To delete a specific version of the intent, use the DeleteIntentVersion operation.
You can delete a version of an intent only if it is not referenced. To delete an intent that is referred to in one or more bots (see how-it-works ), you must remove those references first.
Note
If you get the ResourceInUseException
exception, it provides an example reference that shows where the intent is referenced. To remove the reference to the intent, either update the bot or delete it. If you get the same exception when you attempt to delete the intent again, repeat until the intent has no references and the call to DeleteIntent
is successful.
This operation requires permission for the lex:DeleteIntent
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_intent(
name='string'
)
[REQUIRED]
The name of the intent. The name is case sensitive.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_intent_version
(**kwargs)¶Deletes a specific version of an intent. To delete all versions of a intent, use the DeleteIntent operation.
This operation requires permissions for the lex:DeleteIntentVersion
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_intent_version(
name='string',
version='string'
)
[REQUIRED]
The name of the intent.
[REQUIRED]
The version of the intent to delete. You cannot delete the $LATEST
version of the intent. To delete the $LATEST
version, use the DeleteIntent operation.
None
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_slot_type
(**kwargs)¶Deletes all versions of the slot type, including the $LATEST
version. To delete a specific version of the slot type, use the DeleteSlotTypeVersion operation.
You can delete a version of a slot type only if it is not referenced. To delete a slot type that is referred to in one or more intents, you must remove those references first.
Note
If you get the ResourceInUseException
exception, the exception provides an example reference that shows the intent where the slot type is referenced. To remove the reference to the slot type, either update the intent or delete it. If you get the same exception when you attempt to delete the slot type again, repeat until the slot type has no references and the DeleteSlotType
call is successful.
This operation requires permission for the lex:DeleteSlotType
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_slot_type(
name='string'
)
[REQUIRED]
The name of the slot type. The name is case sensitive.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_slot_type_version
(**kwargs)¶Deletes a specific version of a slot type. To delete all versions of a slot type, use the DeleteSlotType operation.
This operation requires permissions for the lex:DeleteSlotTypeVersion
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_slot_type_version(
name='string',
version='string'
)
[REQUIRED]
The name of the slot type.
[REQUIRED]
The version of the slot type to delete. You cannot delete the $LATEST
version of the slot type. To delete the $LATEST
version, use the DeleteSlotType operation.
None
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ResourceInUseException
delete_utterances
(**kwargs)¶Deletes stored utterances.
Amazon Lex stores the utterances that users send to your bot. Utterances are stored for 15 days for use with the GetUtterancesView operation, and then stored indefinitely for use in improving the ability of your bot to respond to user input.
Use the DeleteUtterances
operation to manually delete stored utterances for a specific user. When you use the DeleteUtterances
operation, utterances stored for improving your bot's ability to respond to user input are deleted immediately. Utterances stored for use with the GetUtterancesView
operation are deleted after 15 days.
This operation requires permissions for the lex:DeleteUtterances
action.
See also: AWS API Documentation
Request Syntax
response = client.delete_utterances(
botName='string',
userId='string'
)
[REQUIRED]
The name of the bot that stored the utterances.
[REQUIRED]
The unique identifier for the user that made the utterances. This is the user ID that was sent in the PostContent or PostText operation request that contained the utterance.
None
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_bot
(**kwargs)¶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
Request Syntax
response = client.get_bot(
name='string',
versionOrAlias='string'
)
[REQUIRED]
The name of the bot. The name is case sensitive.
[REQUIRED]
The version or alias of the bot.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'intents': [
{
'intentName': 'string',
'intentVersion': 'string'
},
],
'enableModelImprovements': True|False,
'nluIntentConfidenceThreshold': 123.0,
'clarificationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'abortStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'failureReason': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'idleSessionTTLInSeconds': 123,
'voiceId': 'string',
'checksum': 'string',
'version': 'string',
'locale': 'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
'childDirected': True|False,
'detectSentiment': True|False
}
Response Structure
(dict) --
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 .
(dict) --
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 (float) --
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 (dict) --
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).
(dict) --
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 (dict) --
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.
(dict) --
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 (datetime) --
The date that the bot was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
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.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
Examples
This example shows how to get configuration information for a bot.
response = client.get_bot(
name='DocOrderPizza',
versionOrAlias='$LATEST',
)
print(response)
Expected Output:
{
'version': '$LATEST',
'name': 'DocOrderPizzaBot',
'abortStatement': {
'messages': [
{
'content': 'I don't understand. Can you try again?',
'contentType': 'PlainText',
},
{
'content': 'I'm sorry, I don't understand.',
'contentType': 'PlainText',
},
],
},
'checksum': '20172ee3-fa06-49b2-bbc5-667c090303e9',
'childDirected': True,
'clarificationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'I'm sorry, I didn't hear that. Can you repeate what you just said?',
'contentType': 'PlainText',
},
{
'content': 'Can you say that again?',
'contentType': 'PlainText',
},
],
},
'createdDate': 1494360160.133,
'description': 'Orders a pizza from a local pizzeria.',
'idleSessionTTLInSeconds': 300,
'intents': [
{
'intentName': 'DocOrderPizza',
'intentVersion': '$LATEST',
},
],
'lastUpdatedDate': 1494360160.133,
'locale': 'en-US',
'status': 'NOT_BUILT',
'ResponseMetadata': {
'...': '...',
},
}
get_bot_alias
(**kwargs)¶Returns information about an Amazon Lex bot alias. For more information about aliases, see versioning-aliases .
This operation requires permissions for the lex:GetBotAlias
action.
See also: AWS API Documentation
Request Syntax
response = client.get_bot_alias(
name='string',
botName='string'
)
[REQUIRED]
The name of the bot alias. The name is case sensitive.
[REQUIRED]
The name of the bot.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'botVersion': 'string',
'botName': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'checksum': 'string',
'conversationLogs': {
'logSettings': [
{
'logType': 'AUDIO'|'TEXT',
'destination': 'CLOUDWATCH_LOGS'|'S3',
'kmsKeyArn': 'string',
'resourceArn': 'string',
'resourcePrefix': 'string'
},
],
'iamRoleArn': 'string'
}
}
Response Structure
(dict) --
name (string) --
The name of the bot alias.
description (string) --
A description of the bot alias.
botVersion (string) --
The version of the bot that the alias points to.
botName (string) --
The name of the bot that the alias points to.
lastUpdatedDate (datetime) --
The date that the bot alias was updated. When you create a resource, the creation date and the last updated date are the same.
createdDate (datetime) --
The date that the bot alias was created.
checksum (string) --
Checksum of the bot alias.
conversationLogs (dict) --
The settings that determine how Amazon Lex uses conversation logs for the alias.
logSettings (list) --
The settings for your conversation logs. You can log text, audio, or both.
(dict) --
The settings for conversation logs.
logType (string) --
The type of logging that is enabled.
destination (string) --
The destination where logs are delivered.
kmsKeyArn (string) --
The Amazon Resource Name (ARN) of the key used to encrypt audio logs in an S3 bucket.
resourceArn (string) --
The Amazon Resource Name (ARN) of the CloudWatch Logs log group or S3 bucket where the logs are delivered.
resourcePrefix (string) --
The resource prefix is the first part of the S3 object key within the S3 bucket that you specified to contain audio logs. For CloudWatch Logs it is the prefix of the log stream name within the log group that you specified.
iamRoleArn (string) --
The Amazon Resource Name (ARN) of the IAM role used to write your logs to CloudWatch Logs or an S3 bucket.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_bot_aliases
(**kwargs)¶Returns a list of aliases for a specified Amazon Lex bot.
This operation requires permissions for the lex:GetBotAliases
action.
See also: AWS API Documentation
Request Syntax
response = client.get_bot_aliases(
botName='string',
nextToken='string',
maxResults=123,
nameContains='string'
)
[REQUIRED]
The name of the bot.
dict
Response Syntax
{
'BotAliases': [
{
'name': 'string',
'description': 'string',
'botVersion': 'string',
'botName': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'checksum': 'string',
'conversationLogs': {
'logSettings': [
{
'logType': 'AUDIO'|'TEXT',
'destination': 'CLOUDWATCH_LOGS'|'S3',
'kmsKeyArn': 'string',
'resourceArn': 'string',
'resourcePrefix': 'string'
},
],
'iamRoleArn': 'string'
}
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
BotAliases (list) --
An array of BotAliasMetadata
objects, each describing a bot alias.
(dict) --
Provides information about a bot alias.
name (string) --
The name of the bot alias.
description (string) --
A description of the bot alias.
botVersion (string) --
The version of the Amazon Lex bot to which the alias points.
botName (string) --
The name of the bot to which the alias points.
lastUpdatedDate (datetime) --
The date that the bot alias was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot alias was created.
checksum (string) --
Checksum of the bot alias.
conversationLogs (dict) --
Settings that determine how Amazon Lex uses conversation logs for the alias.
logSettings (list) --
The settings for your conversation logs. You can log text, audio, or both.
(dict) --
The settings for conversation logs.
logType (string) --
The type of logging that is enabled.
destination (string) --
The destination where logs are delivered.
kmsKeyArn (string) --
The Amazon Resource Name (ARN) of the key used to encrypt audio logs in an S3 bucket.
resourceArn (string) --
The Amazon Resource Name (ARN) of the CloudWatch Logs log group or S3 bucket where the logs are delivered.
resourcePrefix (string) --
The resource prefix is the first part of the S3 object key within the S3 bucket that you specified to contain audio logs. For CloudWatch Logs it is the prefix of the log stream name within the log group that you specified.
iamRoleArn (string) --
The Amazon Resource Name (ARN) of the IAM role used to write your logs to CloudWatch Logs or an S3 bucket.
nextToken (string) --
A pagination token for fetching next page of aliases. If the response to this call is truncated, Amazon Lex returns a pagination token in the response. To fetch the next page of aliases, specify the pagination token in the next request.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_bot_channel_association
(**kwargs)¶Returns information about the association between an Amazon Lex bot and a messaging platform.
This operation requires permissions for the lex:GetBotChannelAssociation
action.
See also: AWS API Documentation
Request Syntax
response = client.get_bot_channel_association(
name='string',
botName='string',
botAlias='string'
)
[REQUIRED]
The name of the association between the bot and the channel. The name is case sensitive.
[REQUIRED]
The name of the Amazon Lex bot.
[REQUIRED]
An alias pointing to the specific version of the Amazon Lex bot to which this association is being made.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'botAlias': 'string',
'botName': 'string',
'createdDate': datetime(2015, 1, 1),
'type': 'Facebook'|'Slack'|'Twilio-Sms'|'Kik',
'botConfiguration': {
'string': 'string'
},
'status': 'IN_PROGRESS'|'CREATED'|'FAILED',
'failureReason': 'string'
}
Response Structure
(dict) --
name (string) --
The name of the association between the bot and the channel.
description (string) --
A description of the association between the bot and the channel.
botAlias (string) --
An alias pointing to the specific version of the Amazon Lex bot to which this association is being made.
botName (string) --
The name of the Amazon Lex bot.
createdDate (datetime) --
The date that the association between the bot and the channel was created.
type (string) --
The type of the messaging platform.
botConfiguration (dict) --
Provides information that the messaging platform needs to communicate with the Amazon Lex bot.
status (string) --
The status of the bot channel.
CREATED
- The channel has been created and is ready for use.IN_PROGRESS
- Channel creation is in progress.FAILED
- There was an error creating the channel. For information about the reason for the failure, see the failureReason
field.failureReason (string) --
If status
is FAILED
, Amazon Lex provides the reason that it failed to create the association.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_bot_channel_associations
(**kwargs)¶Returns a list of all of the channels associated with the specified bot.
The GetBotChannelAssociations
operation requires permissions for the lex:GetBotChannelAssociations
action.
See also: AWS API Documentation
Request Syntax
response = client.get_bot_channel_associations(
botName='string',
botAlias='string',
nextToken='string',
maxResults=123,
nameContains='string'
)
[REQUIRED]
The name of the Amazon Lex bot in the association.
[REQUIRED]
An alias pointing to the specific version of the Amazon Lex bot to which this association is being made.
nameContains
parameter.dict
Response Syntax
{
'botChannelAssociations': [
{
'name': 'string',
'description': 'string',
'botAlias': 'string',
'botName': 'string',
'createdDate': datetime(2015, 1, 1),
'type': 'Facebook'|'Slack'|'Twilio-Sms'|'Kik',
'botConfiguration': {
'string': 'string'
},
'status': 'IN_PROGRESS'|'CREATED'|'FAILED',
'failureReason': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
botChannelAssociations (list) --
An array of objects, one for each association, that provides information about the Amazon Lex bot and its association with the channel.
(dict) --
Represents an association between an Amazon Lex bot and an external messaging platform.
name (string) --
The name of the association between the bot and the channel.
description (string) --
A text description of the association you are creating.
botAlias (string) --
An alias pointing to the specific version of the Amazon Lex bot to which this association is being made.
botName (string) --
The name of the Amazon Lex bot to which this association is being made.
Note
Currently, Amazon Lex supports associations with Facebook and Slack, and Twilio.
createdDate (datetime) --
The date that the association between the Amazon Lex bot and the channel was created.
type (string) --
Specifies the type of association by indicating the type of channel being established between the Amazon Lex bot and the external messaging platform.
botConfiguration (dict) --
Provides information necessary to communicate with the messaging platform.
status (string) --
The status of the bot channel.
CREATED
- The channel has been created and is ready for use.IN_PROGRESS
- Channel creation is in progress.FAILED
- There was an error creating the channel. For information about the reason for the failure, see the failureReason
field.failureReason (string) --
If status
is FAILED
, Amazon Lex provides the reason that it failed to create the association.
nextToken (string) --
A pagination token that fetches the next page of associations. If the response to this call is truncated, Amazon Lex returns a pagination token in the response. To fetch the next page of associations, specify the pagination token in the next request.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_bot_versions
(**kwargs)¶Gets information about all of the versions of a bot.
The GetBotVersions
operation returns a BotMetadata
object for each version of a bot. For example, if a bot has three numbered versions, the GetBotVersions
operation returns four BotMetadata
objects in the response, one for each numbered version and one for the $LATEST
version.
The GetBotVersions
operation always returns at least one version, the $LATEST
version.
This operation requires permissions for the lex:GetBotVersions
action.
See also: AWS API Documentation
Request Syntax
response = client.get_bot_versions(
name='string',
nextToken='string',
maxResults=123
)
[REQUIRED]
The name of the bot for which versions should be returned.
dict
Response Syntax
{
'bots': [
{
'name': 'string',
'description': 'string',
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
bots (list) --
An array of BotMetadata
objects, one for each numbered version of the bot plus one for the $LATEST
version.
(dict) --
Provides information about a bot. .
name (string) --
The name of the bot.
description (string) --
A description of the bot.
status (string) --
The status of the bot.
lastUpdatedDate (datetime) --
The date that the bot was updated. When you create a bot, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot was created.
version (string) --
The version of the bot. For a new bot, the version is always $LATEST
.
nextToken (string) --
A pagination token for fetching the next page of bot versions. If the response to this call is truncated, Amazon Lex returns a pagination token in the response. To fetch the next page of versions, specify the pagination token in the next request.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_bots
(**kwargs)¶Returns bot information as follows:
nameContains
field, the response includes information for the $LATEST
version of all bots whose name contains the specified string.nameContains
field, the operation returns information about the $LATEST
version of all of your bots.This operation requires permission for the lex:GetBots
action.
See also: AWS API Documentation
Request Syntax
response = client.get_bots(
nextToken='string',
maxResults=123,
nameContains='string'
)
dict
Response Syntax
{
'bots': [
{
'name': 'string',
'description': 'string',
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
bots (list) --
An array of botMetadata
objects, with one entry for each bot.
(dict) --
Provides information about a bot. .
name (string) --
The name of the bot.
description (string) --
A description of the bot.
status (string) --
The status of the bot.
lastUpdatedDate (datetime) --
The date that the bot was updated. When you create a bot, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot was created.
version (string) --
The version of the bot. For a new bot, the version is always $LATEST
.
nextToken (string) --
If the response is truncated, it includes a pagination token that you can specify in your next request to fetch the next page of bots.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
Examples
This example shows how to get a list of all of the bots in your account.
response = client.get_bots(
maxResults=5,
nextToken='',
)
print(response)
Expected Output:
{
'bots': [
{
'version': '$LATEST',
'name': 'DocOrderPizzaBot',
'createdDate': 1494360160.133,
'description': 'Orders a pizza from a local pizzeria.',
'lastUpdatedDate': 1494360160.133,
'status': 'NOT_BUILT',
},
],
'ResponseMetadata': {
'...': '...',
},
}
get_builtin_intent
(**kwargs)¶Returns information about a built-in intent.
This operation requires permission for the lex:GetBuiltinIntent
action.
See also: AWS API Documentation
Request Syntax
response = client.get_builtin_intent(
signature='string'
)
[REQUIRED]
The unique identifier for a built-in intent. To find the signature for an intent, see Standard Built-in Intents in the Alexa Skills Kit .
{
'signature': 'string',
'supportedLocales': [
'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
],
'slots': [
{
'name': 'string'
},
]
}
Response Structure
The unique identifier for a built-in intent.
A list of locales that the intent supports.
An array of BuiltinIntentSlot
objects, one entry for each slot type in the intent.
Provides information about a slot used in a built-in intent.
A list of the slots defined for the intent.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_builtin_intents
(**kwargs)¶Gets a list of built-in intents that meet the specified criteria.
This operation requires permission for the lex:GetBuiltinIntents
action.
See also: AWS API Documentation
Request Syntax
response = client.get_builtin_intents(
locale='de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
signatureContains='string',
nextToken='string',
maxResults=123
)
dict
Response Syntax
{
'intents': [
{
'signature': 'string',
'supportedLocales': [
'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
]
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
intents (list) --
An array of builtinIntentMetadata
objects, one for each intent in the response.
(dict) --
Provides metadata for a built-in intent.
signature (string) --
A unique identifier for the built-in intent. To find the signature for an intent, see Standard Built-in Intents in the Alexa Skills Kit .
supportedLocales (list) --
A list of identifiers for the locales that the intent supports.
nextToken (string) --
A pagination token that fetches the next page of intents. If the response to this API call is truncated, Amazon Lex returns a pagination token in the response. To fetch the next page of intents, specify the pagination token in the next request.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_builtin_slot_types
(**kwargs)¶Gets a list of built-in slot types that meet the specified criteria.
For a list of built-in slot types, see Slot Type Reference in the Alexa Skills Kit .
This operation requires permission for the lex:GetBuiltInSlotTypes
action.
See also: AWS API Documentation
Request Syntax
response = client.get_builtin_slot_types(
locale='de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
signatureContains='string',
nextToken='string',
maxResults=123
)
dict
Response Syntax
{
'slotTypes': [
{
'signature': 'string',
'supportedLocales': [
'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
]
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
slotTypes (list) --
An array of BuiltInSlotTypeMetadata
objects, one entry for each slot type returned.
(dict) --
Provides information about a built in slot type.
signature (string) --
A unique identifier for the built-in slot type. To find the signature for a slot type, see Slot Type Reference in the Alexa Skills Kit .
supportedLocales (list) --
A list of target locales for the slot.
nextToken (string) --
If the response is truncated, the response includes a pagination token that you can use in your next request to fetch the next page of slot types.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_export
(**kwargs)¶Exports the contents of a Amazon Lex resource in a specified format.
See also: AWS API Documentation
Request Syntax
response = client.get_export(
name='string',
version='string',
resourceType='BOT'|'INTENT'|'SLOT_TYPE',
exportType='ALEXA_SKILLS_KIT'|'LEX'
)
[REQUIRED]
The name of the bot to export.
[REQUIRED]
The version of the bot to export.
[REQUIRED]
The type of resource to export.
[REQUIRED]
The format of the exported data.
dict
Response Syntax
{
'name': 'string',
'version': 'string',
'resourceType': 'BOT'|'INTENT'|'SLOT_TYPE',
'exportType': 'ALEXA_SKILLS_KIT'|'LEX',
'exportStatus': 'IN_PROGRESS'|'READY'|'FAILED',
'failureReason': 'string',
'url': 'string'
}
Response Structure
(dict) --
name (string) --
The name of the bot being exported.
version (string) --
The version of the bot being exported.
resourceType (string) --
The type of the exported resource.
exportType (string) --
The format of the exported data.
exportStatus (string) --
The status of the export.
IN_PROGRESS
- The export is in progress.READY
- The export is complete.FAILED
- The export could not be completed.failureReason (string) --
If status
is FAILED
, Amazon Lex provides the reason that it failed to export the resource.
url (string) --
An S3 pre-signed URL that provides the location of the exported resource. The exported resource is a ZIP archive that contains the exported resource in JSON format. The structure of the archive may change. Your code should not rely on the archive structure.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_import
(**kwargs)¶Gets information about an import job started with the StartImport
operation.
See also: AWS API Documentation
Request Syntax
response = client.get_import(
importId='string'
)
[REQUIRED]
The identifier of the import job information to return.
{
'name': 'string',
'resourceType': 'BOT'|'INTENT'|'SLOT_TYPE',
'mergeStrategy': 'OVERWRITE_LATEST'|'FAIL_ON_CONFLICT',
'importId': 'string',
'importStatus': 'IN_PROGRESS'|'COMPLETE'|'FAILED',
'failureReason': [
'string',
],
'createdDate': datetime(2015, 1, 1)
}
Response Structure
The name given to the import job.
The type of resource imported.
The action taken when there was a conflict between an existing resource and a resource in the import file.
The identifier for the specific import job.
The status of the import job. If the status is FAILED
, you can get the reason for the failure from the failureReason
field.
A string that describes why an import job failed to complete.
A timestamp for the date and time that the import job was created.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_intent
(**kwargs)¶Returns information about an intent. In addition to the intent name, you must specify the intent version.
This operation requires permissions to perform the lex:GetIntent
action.
See also: AWS API Documentation
Request Syntax
response = client.get_intent(
name='string',
version='string'
)
[REQUIRED]
The name of the intent. The name is case sensitive.
[REQUIRED]
The version of the intent.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'slots': [
{
'name': 'string',
'description': 'string',
'slotConstraint': 'Required'|'Optional',
'slotType': 'string',
'slotTypeVersion': 'string',
'valueElicitationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'priority': 123,
'sampleUtterances': [
'string',
],
'responseCard': 'string',
'obfuscationSetting': 'NONE'|'DEFAULT_OBFUSCATION',
'defaultValueSpec': {
'defaultValueList': [
{
'defaultValue': 'string'
},
]
}
},
],
'sampleUtterances': [
'string',
],
'confirmationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'followUpPrompt': {
'prompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
}
},
'conclusionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'dialogCodeHook': {
'uri': 'string',
'messageVersion': 'string'
},
'fulfillmentActivity': {
'type': 'ReturnIntent'|'CodeHook',
'codeHook': {
'uri': 'string',
'messageVersion': 'string'
}
},
'parentIntentSignature': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string',
'checksum': 'string',
'kendraConfiguration': {
'kendraIndex': 'string',
'queryFilterString': 'string',
'role': 'string'
},
'inputContexts': [
{
'name': 'string'
},
],
'outputContexts': [
{
'name': 'string',
'timeToLiveInSeconds': 123,
'turnsToLive': 123
},
]
}
Response Structure
(dict) --
name (string) --
The name of the intent.
description (string) --
A description of the intent.
slots (list) --
An array of intent slots configured for the intent.
(dict) --
Identifies the version of a specific slot.
name (string) --
The name of the slot.
description (string) --
A description of the slot.
slotConstraint (string) --
Specifies whether the slot is required or optional.
slotType (string) --
The type of the slot, either a custom slot type that you defined or one of the built-in slot types.
slotTypeVersion (string) --
The version of the slot type.
valueElicitationPrompt (dict) --
The prompt that Amazon Lex uses to elicit the slot value from the user.
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).
(dict) --
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 .
priority (integer) --
Directs Amazon Lex the order in which to elicit this slot value from the user. For example, if the intent has two slots with priorities 1 and 2, AWS Amazon Lex first elicits a value for the slot with priority 1.
If multiple slots share the same priority, the order in which Amazon Lex elicits values is arbitrary.
sampleUtterances (list) --
If you know a specific pattern with which users might respond to an Amazon Lex request for a slot value, you can provide those utterances to improve accuracy. This is optional. In most cases, Amazon Lex is capable of understanding user utterances.
responseCard (string) --
A set of possible responses for the slot type used by text-based clients. A user chooses an option from the response card, instead of using text to reply.
obfuscationSetting (string) --
Determines whether a slot is obfuscated in conversation logs and stored utterances. When you obfuscate a slot, the value is replaced by the slot name in curly braces ({}). For example, if the slot name is "full_name", obfuscated values are replaced with "{full_name}". For more information, see Slot Obfuscation .
defaultValueSpec (dict) --
A list of default values for the slot. Default values are used when Amazon Lex hasn't determined a value for a slot. You can specify default values from context variables, session attributes, and defined values.
defaultValueList (list) --
The default values for a slot. You can specify more than one default. For example, you can specify a default value to use from a matching context variable, a session attribute, or a fixed value.
The default value chosen is selected based on the order that you specify them in the list. For example, if you specify a context variable and a fixed value in that order, Amazon Lex uses the context variable if it is available, else it uses the fixed value.
(dict) --
A default value for a slot.
defaultValue (string) --
The default value for the slot. You can specify one of the following:
#context-name.slot-name
- The slot value "slot-name" in the context "context-name."{attribute}
- The slot value of the session attribute "attribute."'value'
- The discrete value "value."sampleUtterances (list) --
An array of sample utterances configured for the intent.
confirmationPrompt (dict) --
If defined in the bot, Amazon Lex uses prompt to confirm the intent before fulfilling the user's request. For more information, see PutIntent .
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).
(dict) --
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 .
rejectionStatement (dict) --
If the user answers "no" to the question defined in confirmationPrompt
, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
messages (list) --
A collection of message objects.
(dict) --
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.
followUpPrompt (dict) --
If defined in the bot, Amazon Lex uses this prompt to solicit additional user activity after the intent is fulfilled. For more information, see PutIntent .
prompt (dict) --
Prompts for information from the user.
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).
(dict) --
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 .
rejectionStatement (dict) --
If the user answers "no" to the question defined in the prompt
field, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
messages (list) --
A collection of message objects.
(dict) --
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.
conclusionStatement (dict) --
After the Lambda function specified in the fulfillmentActivity
element fulfills the intent, Amazon Lex conveys this statement to the user.
messages (list) --
A collection of message objects.
(dict) --
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.
dialogCodeHook (dict) --
If defined in the bot, Amazon Amazon Lex invokes this Lambda function for each user input. For more information, see PutIntent .
uri (string) --
The Amazon Resource Name (ARN) of the Lambda function.
messageVersion (string) --
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
fulfillmentActivity (dict) --
Describes how the intent is fulfilled. For more information, see PutIntent .
type (string) --
How the intent should be fulfilled, either by running a Lambda function or by returning the slot data to the client application.
codeHook (dict) --
A description of the Lambda function that is run to fulfill the intent.
uri (string) --
The Amazon Resource Name (ARN) of the Lambda function.
messageVersion (string) --
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
parentIntentSignature (string) --
A unique identifier for a built-in intent.
lastUpdatedDate (datetime) --
The date that the intent was updated. When you create a resource, the creation date and the last updated date are the same.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version of the intent.
checksum (string) --
Checksum of the intent.
kendraConfiguration (dict) --
Configuration information, if any, to connect to an Amazon Kendra index with the AMAZON.KendraSearchIntent
intent.
kendraIndex (string) --
The Amazon Resource Name (ARN) of the Amazon Kendra index that you want the AMAZON.KendraSearchIntent intent to search. The index must be in the same account and Region as the Amazon Lex bot. If the Amazon Kendra index does not exist, you get an exception when you call the PutIntent
operation.
queryFilterString (string) --
A query filter that Amazon Lex sends to Amazon Kendra to filter the response from the query. The filter is in the format defined by Amazon Kendra. For more information, see Filtering queries .
You can override this filter string with a new filter string at runtime.
role (string) --
The Amazon Resource Name (ARN) of an IAM role that has permission to search the Amazon Kendra index. The role must be in the same account and Region as the Amazon Lex bot. If the role does not exist, you get an exception when you call the PutIntent
operation.
inputContexts (list) --
An array of InputContext
objects that lists the contexts that must be active for Amazon Lex to choose the intent in a conversation with the user.
(dict) --
The name of a context that must be active for an intent to be selected by Amazon Lex.
name (string) --
The name of the context.
outputContexts (list) --
An array of OutputContext
objects that lists the contexts that the intent activates when the intent is fulfilled.
(dict) --
The specification of an output context that is set when an intent is fulfilled.
name (string) --
The name of the context.
timeToLiveInSeconds (integer) --
The number of seconds that the context should be active after it is first sent in a PostContent
or PostText
response. You can set the value between 5 and 86,400 seconds (24 hours).
turnsToLive (integer) --
The number of conversation turns that the context should be active. A conversation turn is one PostContent
or PostText
request and the corresponding response from Amazon Lex.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
Examples
This example shows how to get information about an intent.
response = client.get_intent(
version='$LATEST',
name='DocOrderPizza',
)
print(response)
Expected Output:
{
'version': '$LATEST',
'name': 'DocOrderPizza',
'checksum': 'ca9bc13d-afc8-4706-bbaf-091f7a5935d6',
'conclusionStatement': {
'messages': [
{
'content': 'All right, I ordered you a {Crust} crust {Type} pizza with {Sauce} sauce.',
'contentType': 'PlainText',
},
{
'content': 'OK, your {Crust} crust {Type} pizza with {Sauce} sauce is on the way.',
'contentType': 'PlainText',
},
],
'responseCard': 'foo',
},
'confirmationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'Should I order your {Crust} crust {Type} pizza with {Sauce} sauce?',
'contentType': 'PlainText',
},
],
},
'createdDate': 1494359783.453,
'description': 'Order a pizza from a local pizzeria.',
'fulfillmentActivity': {
'type': 'ReturnIntent',
},
'lastUpdatedDate': 1494359783.453,
'rejectionStatement': {
'messages': [
{
'content': 'Ok, I'll cancel your order.',
'contentType': 'PlainText',
},
{
'content': 'I cancelled your order.',
'contentType': 'PlainText',
},
],
},
'sampleUtterances': [
'Order me a pizza.',
'Order me a {Type} pizza.',
'I want a {Crust} crust {Type} pizza',
'I want a {Crust} crust {Type} pizza with {Sauce} sauce.',
],
'slots': [
{
'name': 'Type',
'description': 'The type of pizza to order.',
'priority': 1,
'sampleUtterances': [
'Get me a {Type} pizza.',
'A {Type} pizza please.',
'I'd like a {Type} pizza.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'What type of pizza would you like?',
'contentType': 'PlainText',
},
{
'content': 'Vegie or cheese pizza?',
'contentType': 'PlainText',
},
{
'content': 'I can get you a vegie or a cheese pizza.',
'contentType': 'PlainText',
},
],
},
},
{
'name': 'Crust',
'description': 'The type of pizza crust to order.',
'priority': 2,
'sampleUtterances': [
'Make it a {Crust} crust.',
'I'd like a {Crust} crust.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaCrustType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'What type of crust would you like?',
'contentType': 'PlainText',
},
{
'content': 'Thick or thin crust?',
'contentType': 'PlainText',
},
],
},
},
{
'name': 'Sauce',
'description': 'The type of sauce to use on the pizza.',
'priority': 3,
'sampleUtterances': [
'Make it {Sauce} sauce.',
'I'd like {Sauce} sauce.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaSauceType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'White or red sauce?',
'contentType': 'PlainText',
},
{
'content': 'Garlic or tomato sauce?',
'contentType': 'PlainText',
},
],
},
},
],
'ResponseMetadata': {
'...': '...',
},
}
get_intent_versions
(**kwargs)¶Gets information about all of the versions of an intent.
The GetIntentVersions
operation returns an IntentMetadata
object for each version of an intent. For example, if an intent has three numbered versions, the GetIntentVersions
operation returns four IntentMetadata
objects in the response, one for each numbered version and one for the $LATEST
version.
The GetIntentVersions
operation always returns at least one version, the $LATEST
version.
This operation requires permissions for the lex:GetIntentVersions
action.
See also: AWS API Documentation
Request Syntax
response = client.get_intent_versions(
name='string',
nextToken='string',
maxResults=123
)
[REQUIRED]
The name of the intent for which versions should be returned.
dict
Response Syntax
{
'intents': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
intents (list) --
An array of IntentMetadata
objects, one for each numbered version of the intent plus one for the $LATEST
version.
(dict) --
Provides information about an intent.
name (string) --
The name of the intent.
description (string) --
A description of the intent.
lastUpdatedDate (datetime) --
The date that the intent was updated. When you create an intent, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version of the intent.
nextToken (string) --
A pagination token for fetching the next page of intent versions. If the response to this call is truncated, Amazon Lex returns a pagination token in the response. To fetch the next page of versions, specify the pagination token in the next request.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_intents
(**kwargs)¶Returns intent information as follows:
nameContains
field, returns the $LATEST
version of all intents that contain the specified string.nameContains
field, returns information about the $LATEST
version of all intents.The operation requires permission for the lex:GetIntents
action.
See also: AWS API Documentation
Request Syntax
response = client.get_intents(
nextToken='string',
maxResults=123,
nameContains='string'
)
dict
Response Syntax
{
'intents': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
intents (list) --
An array of Intent
objects. For more information, see PutBot .
(dict) --
Provides information about an intent.
name (string) --
The name of the intent.
description (string) --
A description of the intent.
lastUpdatedDate (datetime) --
The date that the intent was updated. When you create an intent, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version of the intent.
nextToken (string) --
If the response is truncated, the response includes a pagination token that you can specify in your next request to fetch the next page of intents.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
Examples
This example shows how to get a list of all of the intents in your account.
response = client.get_intents(
maxResults=10,
nextToken='',
)
print(response)
Expected Output:
{
'intents': [
{
'version': '$LATEST',
'name': 'DocOrderPizza',
'createdDate': 1494359783.453,
'description': 'Order a pizza from a local pizzeria.',
'lastUpdatedDate': 1494359783.453,
},
],
'ResponseMetadata': {
'...': '...',
},
}
get_migration
(**kwargs)¶Provides details about an ongoing or complete migration from an Amazon Lex V1 bot to an Amazon Lex V2 bot. Use this operation to view the migration alerts and warnings related to the migration.
See also: AWS API Documentation
Request Syntax
response = client.get_migration(
migrationId='string'
)
[REQUIRED]
The unique identifier of the migration to view. The migrationID
is returned by the operation.
{
'migrationId': 'string',
'v1BotName': 'string',
'v1BotVersion': 'string',
'v1BotLocale': 'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
'v2BotId': 'string',
'v2BotRole': 'string',
'migrationStatus': 'IN_PROGRESS'|'COMPLETED'|'FAILED',
'migrationStrategy': 'CREATE_NEW'|'UPDATE_EXISTING',
'migrationTimestamp': datetime(2015, 1, 1),
'alerts': [
{
'type': 'ERROR'|'WARN',
'message': 'string',
'details': [
'string',
],
'referenceURLs': [
'string',
]
},
]
}
Response Structure
The unique identifier of the migration. This is the same as the identifier used when calling the GetMigration
operation.
The name of the Amazon Lex V1 bot migrated to Amazon Lex V2.
The version of the Amazon Lex V1 bot migrated to Amazon Lex V2.
The locale of the Amazon Lex V1 bot migrated to Amazon Lex V2.
The unique identifier of the Amazon Lex V2 bot that the Amazon Lex V1 is being migrated to.
The IAM role that Amazon Lex uses to run the Amazon Lex V2 bot.
Indicates the status of the migration. When the status is COMPLETE
the migration is finished and the bot is available in Amazon Lex V2. There may be alerts and warnings that need to be resolved to complete the migration.
The strategy used to conduct the migration.
CREATE_NEW
- Creates a new Amazon Lex V2 bot and migrates the Amazon Lex V1 bot to the new bot.UPDATE_EXISTING
- Overwrites the existing Amazon Lex V2 bot metadata and the locale being migrated. It doesn't change any other locales in the Amazon Lex V2 bot. If the locale doesn't exist, a new locale is created in the Amazon Lex V2 bot.The date and time that the migration started.
A list of alerts and warnings that indicate issues with the migration for the Amazon Lex V1 bot to Amazon Lex V2. You receive a warning when an Amazon Lex V1 feature has a different implementation if Amazon Lex V2.
For more information, see Migrating a bot in the Amazon Lex V2 developer guide .
Provides information about alerts and warnings that Amazon Lex sends during a migration. The alerts include information about how to resolve the issue.
The type of alert. There are two kinds of alerts:
ERROR
- There was an issue with the migration that can't be resolved. The migration stops.WARN
- There was an issue with the migration that requires manual changes to the new Amazon Lex V2 bot. The migration continues.A message that describes why the alert was issued.
Additional details about the alert.
A link to the Amazon Lex documentation that describes how to resolve the alert.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.NotFoundException
get_migrations
(**kwargs)¶Gets a list of migrations between Amazon Lex V1 and Amazon Lex V2.
See also: AWS API Documentation
Request Syntax
response = client.get_migrations(
sortByAttribute='V1_BOT_NAME'|'MIGRATION_DATE_TIME',
sortByOrder='ASCENDING'|'DESCENDING',
v1BotNameContains='string',
migrationStatusEquals='IN_PROGRESS'|'COMPLETED'|'FAILED',
maxResults=123,
nextToken='string'
)
dict
Response Syntax
{
'migrationSummaries': [
{
'migrationId': 'string',
'v1BotName': 'string',
'v1BotVersion': 'string',
'v1BotLocale': 'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
'v2BotId': 'string',
'v2BotRole': 'string',
'migrationStatus': 'IN_PROGRESS'|'COMPLETED'|'FAILED',
'migrationStrategy': 'CREATE_NEW'|'UPDATE_EXISTING',
'migrationTimestamp': datetime(2015, 1, 1)
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
migrationSummaries (list) --
An array of summaries for migrations from Amazon Lex V1 to Amazon Lex V2. To see details of the migration, use the migrationId
from the summary in a call to the operation.
(dict) --
Provides information about migrating a bot from Amazon Lex V1 to Amazon Lex V2.
migrationId (string) --
The unique identifier that Amazon Lex assigned to the migration.
v1BotName (string) --
The name of the Amazon Lex V1 bot that is the source of the migration.
v1BotVersion (string) --
The version of the Amazon Lex V1 bot that is the source of the migration.
v1BotLocale (string) --
The locale of the Amazon Lex V1 bot that is the source of the migration.
v2BotId (string) --
The unique identifier of the Amazon Lex V2 that is the destination of the migration.
v2BotRole (string) --
The IAM role that Amazon Lex uses to run the Amazon Lex V2 bot.
migrationStatus (string) --
The status of the operation. When the status is COMPLETE
the bot is available in Amazon Lex V2. There may be alerts and warnings that need to be resolved to complete the migration.
migrationStrategy (string) --
The strategy used to conduct the migration.
migrationTimestamp (datetime) --
The date and time that the migration started.
nextToken (string) --
If the response is truncated, it includes a pagination token that you can specify in your next request to fetch the next page of migrations.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_paginator
(operation_name)¶Create a paginator for an operation.
create_foo
, and you'd normally invoke the
operation as client.create_foo(**kwargs)
, if the
create_foo
operation can be paginated, you can use the
call client.get_paginator("create_foo")
.client.can_paginate
method to
check if an operation is pageable.get_slot_type
(**kwargs)¶Returns information about a specific version of a slot type. In addition to specifying the slot type name, you must specify the slot type version.
This operation requires permissions for the lex:GetSlotType
action.
See also: AWS API Documentation
Request Syntax
response = client.get_slot_type(
name='string',
version='string'
)
[REQUIRED]
The name of the slot type. The name is case sensitive.
[REQUIRED]
The version of the slot type.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'enumerationValues': [
{
'value': 'string',
'synonyms': [
'string',
]
},
],
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string',
'checksum': 'string',
'valueSelectionStrategy': 'ORIGINAL_VALUE'|'TOP_RESOLUTION',
'parentSlotTypeSignature': 'string',
'slotTypeConfigurations': [
{
'regexConfiguration': {
'pattern': 'string'
}
},
]
}
Response Structure
(dict) --
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
enumerationValues (list) --
A list of EnumerationValue
objects that defines the values that the slot type can take.
(dict) --
Each slot type can have a set of values. Each enumeration value represents a value the slot type can take.
For example, a pizza ordering bot could have a slot type that specifies the type of crust that the pizza should have. The slot type could include the values
value (string) --
The value of the slot type.
synonyms (list) --
Additional values related to the slot type value.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a resource, the creation date and last update date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version of the slot type.
checksum (string) --
Checksum of the $LATEST
version of the slot type.
valueSelectionStrategy (string) --
The strategy that Amazon Lex uses to determine the value of the slot. For more information, see PutSlotType .
parentSlotTypeSignature (string) --
The built-in slot type used as a parent for the slot type.
slotTypeConfigurations (list) --
Configuration information that extends the parent built-in slot type.
(dict) --
Provides configuration information for a slot type.
regexConfiguration (dict) --
A regular expression used to validate the value of a slot.
pattern (string) --
A regular expression used to validate the value of a slot.
Use a standard regular expression. Amazon Lex supports the following characters in the regular expression:
Represent Unicode characters with four digits, for example "u0041" or "u005A".
The following regular expression operators are not supported:
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
Examples
This example shows how to get information about a slot type.
response = client.get_slot_type(
version='$LATEST',
name='DocPizzaCrustType',
)
print(response)
Expected Output:
{
'version': '$LATEST',
'name': 'DocPizzaCrustType',
'checksum': '210b3d5a-90a3-4b22-ac7e-f50c2c71095f',
'createdDate': 1494359274.403,
'description': 'Available crust types',
'enumerationValues': [
{
'value': 'thick',
},
{
'value': 'thin',
},
],
'lastUpdatedDate': 1494359274.403,
'ResponseMetadata': {
'...': '...',
},
}
get_slot_type_versions
(**kwargs)¶Gets information about all versions of a slot type.
The GetSlotTypeVersions
operation returns a SlotTypeMetadata
object for each version of a slot type. For example, if a slot type has three numbered versions, the GetSlotTypeVersions
operation returns four SlotTypeMetadata
objects in the response, one for each numbered version and one for the $LATEST
version.
The GetSlotTypeVersions
operation always returns at least one version, the $LATEST
version.
This operation requires permissions for the lex:GetSlotTypeVersions
action.
See also: AWS API Documentation
Request Syntax
response = client.get_slot_type_versions(
name='string',
nextToken='string',
maxResults=123
)
[REQUIRED]
The name of the slot type for which versions should be returned.
dict
Response Syntax
{
'slotTypes': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
slotTypes (list) --
An array of SlotTypeMetadata
objects, one for each numbered version of the slot type plus one for the $LATEST
version.
(dict) --
Provides information about a slot type..
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version of the slot type.
nextToken (string) --
A pagination token for fetching the next page of slot type versions. If the response to this call is truncated, Amazon Lex returns a pagination token in the response. To fetch the next page of versions, specify the pagination token in the next request.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_slot_types
(**kwargs)¶Returns slot type information as follows:
nameContains
field, returns the $LATEST
version of all slot types that contain the specified string.nameContains
field, returns information about the $LATEST
version of all slot types.The operation requires permission for the lex:GetSlotTypes
action.
See also: AWS API Documentation
Request Syntax
response = client.get_slot_types(
nextToken='string',
maxResults=123,
nameContains='string'
)
dict
Response Syntax
{
'slotTypes': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
slotTypes (list) --
An array of objects, one for each slot type, that provides information such as the name of the slot type, the version, and a description.
(dict) --
Provides information about a slot type..
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version of the slot type.
nextToken (string) --
If the response is truncated, it includes a pagination token that you can specify in your next request to fetch the next page of slot types.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
Examples
This example shows how to get a list of all of the slot types in your account.
response = client.get_slot_types(
maxResults=10,
nextToken='',
)
print(response)
Expected Output:
{
'slotTypes': [
{
'version': '$LATEST',
'name': 'DocPizzaCrustType',
'createdDate': 1494359274.403,
'description': 'Available crust types',
'lastUpdatedDate': 1494359274.403,
},
{
'version': '$LATEST',
'name': 'DocPizzaSauceType',
'createdDate': 1494356442.23,
'description': 'Available pizza sauces',
'lastUpdatedDate': 1494356442.23,
},
{
'version': '$LATEST',
'name': 'DocPizzaType',
'createdDate': 1494359198.656,
'description': 'Available pizzas',
'lastUpdatedDate': 1494359198.656,
},
],
'ResponseMetadata': {
'...': '...',
},
}
get_utterances_view
(**kwargs)¶Use the GetUtterancesView
operation to get information about the utterances that your users have made to your bot. You can use this list to tune the utterances that your bot responds to.
For example, say that you have created a bot to order flowers. After your users have used your bot for a while, use the GetUtterancesView
operation to see the requests that they have made and whether they have been successful. You might find that the utterance "I want flowers" is not being recognized. You could add this utterance to the OrderFlowers
intent so that your bot recognizes that utterance.
After you publish a new version of a bot, you can get information about the old version and the new so that you can compare the performance across the two versions.
Utterance statistics are generated once a day. Data is available for the last 15 days. You can request information for up to 5 versions of your bot in each request. Amazon Lex returns the most frequent utterances received by the bot in the last 15 days. The response contains information about a maximum of 100 utterances for each version.
If you set childDirected
field to true when you created your bot, if you are using slot obfuscation with one or more slots, or if you opted out of participating in improving Amazon Lex, utterances are not available.
This operation requires permissions for the lex:GetUtterancesView
action.
See also: AWS API Documentation
Request Syntax
response = client.get_utterances_view(
botName='string',
botVersions=[
'string',
],
statusType='Detected'|'Missed'
)
[REQUIRED]
The name of the bot for which utterance information should be returned.
[REQUIRED]
An array of bot versions for which utterance information should be returned. The limit is 5 versions per request.
[REQUIRED]
To return utterances that were recognized and handled, use Detected
. To return utterances that were not recognized, use Missed
.
dict
Response Syntax
{
'botName': 'string',
'utterances': [
{
'botVersion': 'string',
'utterances': [
{
'utteranceString': 'string',
'count': 123,
'distinctUsers': 123,
'firstUtteredDate': datetime(2015, 1, 1),
'lastUtteredDate': datetime(2015, 1, 1)
},
]
},
]
}
Response Structure
(dict) --
botName (string) --
The name of the bot for which utterance information was returned.
utterances (list) --
An array of UtteranceList objects, each containing a list of UtteranceData objects describing the utterances that were processed by your bot. The response contains a maximum of 100 UtteranceData
objects for each version. Amazon Lex returns the most frequent utterances received by the bot in the last 15 days.
(dict) --
Provides a list of utterances that have been made to a specific version of your bot. The list contains a maximum of 100 utterances.
botVersion (string) --
The version of the bot that processed the list.
utterances (list) --
One or more UtteranceData objects that contain information about the utterances that have been made to a bot. The maximum number of object is 100.
(dict) --
Provides information about a single utterance that was made to your bot.
utteranceString (string) --
The text that was entered by the user or the text representation of an audio clip.
count (integer) --
The number of times that the utterance was processed.
distinctUsers (integer) --
The total number of individuals that used the utterance.
firstUtteredDate (datetime) --
The date that the utterance was first recorded.
lastUtteredDate (datetime) --
The date that the utterance was last recorded.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
get_waiter
(waiter_name)¶Returns an object that can wait for some condition.
Gets a list of tags associated with the specified resource. Only bots, bot aliases, and bot channels can have tags associated with them.
See also: AWS API Documentation
Request Syntax
response = client.list_tags_for_resource(
resourceArn='string'
)
[REQUIRED]
The Amazon Resource Name (ARN) of the resource to get a list of tags for.
{
'tags': [
{
'key': 'string',
'value': 'string'
},
]
}
Response Structure
The tags associated with a resource.
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
The key for the tag. Keys are not case-sensitive and must be unique.
The value associated with a key. The value may be an empty string but it can't be null.
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.LimitExceededException
put_bot
(**kwargs)¶Creates an Amazon Lex conversational bot or replaces an existing bot. When you create or update a bot you are only required to specify a name, a locale, and whether the bot is directed toward children under age 13. You can use this to add intents later, or to remove intents from an existing bot. When you create a bot with the minimum information, the bot is created or updated but Amazon Lex returns the response FAILED
. You can build the bot after you add one or more intents. For more information about Amazon Lex bots, see how-it-works .
If you specify the name of an existing bot, the fields in the request replace the existing values in the $LATEST
version of the bot. Amazon Lex removes any fields that you don't provide values for in the request, except for the idleTTLInSeconds
and privacySettings
fields, which are set to their default values. If you don't specify values for required fields, Amazon Lex throws an exception.
This operation requires permissions for the lex:PutBot
action. For more information, see security-iam .
See also: AWS API Documentation
Request Syntax
response = client.put_bot(
name='string',
description='string',
intents=[
{
'intentName': 'string',
'intentVersion': 'string'
},
],
enableModelImprovements=True|False,
nluIntentConfidenceThreshold=123.0,
clarificationPrompt={
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
abortStatement={
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
idleSessionTTLInSeconds=123,
voiceId='string',
checksum='string',
processBehavior='SAVE'|'BUILD',
locale='de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
childDirected=True|False,
detectSentiment=True|False,
createVersion=True|False,
tags=[
{
'key': 'string',
'value': 'string'
},
]
)
[REQUIRED]
The name of the bot. The name is not case sensitive.
An array of Intent
objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works .
Identifies the specific version of an intent.
The name of the intent.
The version of the intent.
Set to true
to enable access to natural language understanding improvements.
When you set the enableModelImprovements
parameter to true
you can use the nluIntentConfidenceThreshold
parameter to configure confidence scores. For more information, see Confidence Scores .
You can only set the enableModelImprovements
parameter in certain Regions. If you set the parameter to true
, your bot has access to accuracy improvements.
The Regions where you can set the enableModelImprovements
parameter to true
are:
In other Regions, the enableModelImprovements
parameter is set to true
by default. In these Regions setting the parameter to false
throws a ValidationException
exception.
Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent
, AMAZON.KendraSearchIntent
, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent
and AMAZON.KendraSearchIntent
are only inserted if they are configured for the bot.
You must set the enableModelImprovements
parameter to true
to use confidence scores in the following regions.
In other Regions, the enableModelImprovements
parameter is set to true
by default.
For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent
. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText
operation would be:
When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts
field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement
field.
When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts
field. For more information, see AMAZON.FallbackIntent .
If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
ElicitIntent
dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.PutSession
operation, you send an ElicitIntent
dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.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).
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
The number of times to prompt the user for information.
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 .
When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement
to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt
field for the slot type.
For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
For example, in a pizza ordering application, OrderPizza
might be one of the intents. This intent might require the CrustType
slot. You specify the valueElicitationPrompt
field when you create the CrustType
slot.
If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent .
A collection of message objects.
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
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.
The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
If you don't include the idleSessionTTLInSeconds
element in a PutBot
operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
The default is 300 seconds (5 minutes).
Identifies a specific revision of the $LATEST
version.
When you create a new bot, leave the checksum
field blank. If you specify a checksum you get a BadRequestException
exception.
When you want to update a bot, set the checksum
field to the checksum of the most recent revision of the $LATEST
version. If you don't specify the checksum
field, or if the checksum does not match the $LATEST
version, you get a PreconditionFailedException
exception.
If you set the processBehavior
element to BUILD
, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE
Amazon Lex saves the bot, but doesn't build it.
If you don't specify this value, the default value is BUILD
.
[REQUIRED]
Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
The default is en-US
.
[REQUIRED]
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.
true
user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment
, the default is false
.true
a new numbered version of the bot is created. This is the same as calling the CreateBotVersion
operation. If you don't specify createVersion
, the default is false
.A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot
operation to update the tags on a bot. To update tags, use the TagResource
operation.
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
The key for the tag. Keys are not case-sensitive and must be unique.
The value associated with a key. The value may be an empty string but it can't be null.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'intents': [
{
'intentName': 'string',
'intentVersion': 'string'
},
],
'enableModelImprovements': True|False,
'nluIntentConfidenceThreshold': 123.0,
'clarificationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'abortStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'failureReason': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'idleSessionTTLInSeconds': 123,
'voiceId': 'string',
'checksum': 'string',
'version': 'string',
'locale': 'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
'childDirected': True|False,
'createVersion': True|False,
'detectSentiment': True|False,
'tags': [
{
'key': 'string',
'value': 'string'
},
]
}
Response Structure
(dict) --
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 .
(dict) --
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 (float) --
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 (dict) --
The prompts that Amazon Lex uses when it doesn't understand the user's intent. 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).
(dict) --
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 (dict) --
The message that Amazon Lex uses to cancel a conversation. For more information, see PutBot .
messages (list) --
A collection of message objects.
(dict) --
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) --
When you send a request to create a bot with processBehavior
set to BUILD
, Amazon Lex sets the status
response element to BUILDING
.
In the READY_BASIC_TESTING
state you can test the bot with user inputs that exactly match the utterances configured for the bot's intents and values in the slot types.
If Amazon Lex can't build the bot, Amazon Lex sets status
to FAILED
. Amazon Lex returns the reason for the failure in the failureReason
response element.
When you set processBehavior
to SAVE
, Amazon Lex sets the status code to NOT BUILT
.
When the bot is in the READY
state you can test and publish the bot.
failureReason (string) --
If status
is FAILED
, Amazon Lex provides the reason that it failed to build the bot.
lastUpdatedDate (datetime) --
The date that the bot was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot was created.
idleSessionTTLInSeconds (integer) --
The maximum length of time 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 that you created.
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.
createVersion (boolean) --
True
if a new version of the bot was created. If thecreateVersion
field was not specified in the request, thecreateVersion
field is set to false in the response.
detectSentiment (boolean) --
true
if the bot is configured to send user utterances to Amazon Comprehend for sentiment analysis. If thedetectSentiment
field was not specified in the request, thedetectSentiment
field isfalse
in the response.
tags (list) --
A list of tags associated with the bot.
(dict) --
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
key (string) --
The key for the tag. Keys are not case-sensitive and must be unique.
value (string) --
The value associated with a key. The value may be an empty string but it can't be null.
Exceptions
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
Examples
This example shows how to create a bot for ordering pizzas.
response = client.put_bot(
name='DocOrderPizzaBot',
abortStatement={
'messages': [
{
'content': 'I don't understand. Can you try again?',
'contentType': 'PlainText',
},
{
'content': 'I'm sorry, I don't understand.',
'contentType': 'PlainText',
},
],
},
childDirected=True,
clarificationPrompt={
'maxAttempts': 1,
'messages': [
{
'content': 'I'm sorry, I didn't hear that. Can you repeat what you just said?',
'contentType': 'PlainText',
},
{
'content': 'Can you say that again?',
'contentType': 'PlainText',
},
],
},
description='Orders a pizza from a local pizzeria.',
idleSessionTTLInSeconds=300,
intents=[
{
'intentName': 'DocOrderPizza',
'intentVersion': '$LATEST',
},
],
locale='en-US',
processBehavior='SAVE',
)
print(response)
Expected Output:
{
'version': '$LATEST',
'name': 'DocOrderPizzaBot',
'abortStatement': {
'messages': [
{
'content': 'I don't understand. Can you try again?',
'contentType': 'PlainText',
},
{
'content': 'I'm sorry, I don't understand.',
'contentType': 'PlainText',
},
],
},
'checksum': '20172ee3-fa06-49b2-bbc5-667c090303e9',
'childDirected': True,
'clarificationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'I'm sorry, I didn't hear that. Can you repeate what you just said?',
'contentType': 'PlainText',
},
{
'content': 'Can you say that again?',
'contentType': 'PlainText',
},
],
},
'createdDate': 1494360160.133,
'description': 'Orders a pizza from a local pizzeria.',
'idleSessionTTLInSeconds': 300,
'intents': [
{
'intentName': 'DocOrderPizza',
'intentVersion': '$LATEST',
},
],
'lastUpdatedDate': 1494360160.133,
'locale': 'en-US',
'status': 'NOT_BUILT',
'ResponseMetadata': {
'...': '...',
},
}
put_bot_alias
(**kwargs)¶Creates an alias for the specified version of the bot or replaces an alias for the specified bot. To change the version of the bot that the alias points to, replace the alias. For more information about aliases, see versioning-aliases .
This operation requires permissions for the lex:PutBotAlias
action.
See also: AWS API Documentation
Request Syntax
response = client.put_bot_alias(
name='string',
description='string',
botVersion='string',
botName='string',
checksum='string',
conversationLogs={
'logSettings': [
{
'logType': 'AUDIO'|'TEXT',
'destination': 'CLOUDWATCH_LOGS'|'S3',
'kmsKeyArn': 'string',
'resourceArn': 'string'
},
],
'iamRoleArn': 'string'
},
tags=[
{
'key': 'string',
'value': 'string'
},
]
)
[REQUIRED]
The name of the alias. The name is not case sensitive.
[REQUIRED]
The version of the bot.
[REQUIRED]
The name of the bot.
Identifies a specific revision of the $LATEST
version.
When you create a new bot alias, leave the checksum
field blank. If you specify a checksum you get a BadRequestException
exception.
When you want to update a bot alias, set the checksum
field to the checksum of the most recent revision of the $LATEST
version. If you don't specify the checksum
field, or if the checksum does not match the $LATEST
version, you get a PreconditionFailedException
exception.
Settings for conversation logs for the alias.
The settings for your conversation logs. You can log the conversation text, conversation audio, or both.
Settings used to configure delivery mode and destination for conversation logs.
The type of logging to enable. Text logs are delivered to a CloudWatch Logs log group. Audio logs are delivered to an S3 bucket.
Where the logs will be delivered. Text logs are delivered to a CloudWatch Logs log group. Audio logs are delivered to an S3 bucket.
The Amazon Resource Name (ARN) of the AWS KMS customer managed key for encrypting audio logs delivered to an S3 bucket. The key does not apply to CloudWatch Logs and is optional for S3 buckets.
The Amazon Resource Name (ARN) of the CloudWatch Logs log group or S3 bucket where the logs should be delivered.
The Amazon Resource Name (ARN) of an IAM role with permission to write to your CloudWatch Logs for text logs and your S3 bucket for audio logs. If audio encryption is enabled, this role also provides access permission for the AWS KMS key used for encrypting audio logs. For more information, see Creating an IAM Role and Policy for Conversation Logs .
A list of tags to add to the bot alias. You can only add tags when you create an alias, you can't use the PutBotAlias
operation to update the tags on a bot alias. To update tags, use the TagResource
operation.
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
The key for the tag. Keys are not case-sensitive and must be unique.
The value associated with a key. The value may be an empty string but it can't be null.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'botVersion': 'string',
'botName': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'checksum': 'string',
'conversationLogs': {
'logSettings': [
{
'logType': 'AUDIO'|'TEXT',
'destination': 'CLOUDWATCH_LOGS'|'S3',
'kmsKeyArn': 'string',
'resourceArn': 'string',
'resourcePrefix': 'string'
},
],
'iamRoleArn': 'string'
},
'tags': [
{
'key': 'string',
'value': 'string'
},
]
}
Response Structure
(dict) --
name (string) --
The name of the alias.
description (string) --
A description of the alias.
botVersion (string) --
The version of the bot that the alias points to.
botName (string) --
The name of the bot that the alias points to.
lastUpdatedDate (datetime) --
The date that the bot alias was updated. When you create a resource, the creation date and the last updated date are the same.
createdDate (datetime) --
The date that the bot alias was created.
checksum (string) --
The checksum for the current version of the alias.
conversationLogs (dict) --
The settings that determine how Amazon Lex uses conversation logs for the alias.
logSettings (list) --
The settings for your conversation logs. You can log text, audio, or both.
(dict) --
The settings for conversation logs.
logType (string) --
The type of logging that is enabled.
destination (string) --
The destination where logs are delivered.
kmsKeyArn (string) --
The Amazon Resource Name (ARN) of the key used to encrypt audio logs in an S3 bucket.
resourceArn (string) --
The Amazon Resource Name (ARN) of the CloudWatch Logs log group or S3 bucket where the logs are delivered.
resourcePrefix (string) --
The resource prefix is the first part of the S3 object key within the S3 bucket that you specified to contain audio logs. For CloudWatch Logs it is the prefix of the log stream name within the log group that you specified.
iamRoleArn (string) --
The Amazon Resource Name (ARN) of the IAM role used to write your logs to CloudWatch Logs or an S3 bucket.
tags (list) --
A list of tags associated with a bot.
(dict) --
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
key (string) --
The key for the tag. Keys are not case-sensitive and must be unique.
value (string) --
The value associated with a key. The value may be an empty string but it can't be null.
Exceptions
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
put_intent
(**kwargs)¶Creates an intent or replaces an existing intent.
To define the interaction between the user and your bot, you use one or more intents. For a pizza ordering bot, for example, you would create an OrderPizza
intent.
To create an intent or replace an existing intent, you must provide the following:
OrderPizza
.You can specify other optional information in the request, such as:
If you specify an existing intent name to update the intent, Amazon Lex replaces the values in the $LATEST
version of the intent with the values in the request. Amazon Lex removes fields that you don't provide in the request. If you don't specify the required fields, Amazon Lex throws an exception. When you update the $LATEST
version of an intent, the status
field of any bot that uses the $LATEST
version of the intent is set to NOT_BUILT
.
For more information, see how-it-works .
This operation requires permissions for the lex:PutIntent
action.
See also: AWS API Documentation
Request Syntax
response = client.put_intent(
name='string',
description='string',
slots=[
{
'name': 'string',
'description': 'string',
'slotConstraint': 'Required'|'Optional',
'slotType': 'string',
'slotTypeVersion': 'string',
'valueElicitationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'priority': 123,
'sampleUtterances': [
'string',
],
'responseCard': 'string',
'obfuscationSetting': 'NONE'|'DEFAULT_OBFUSCATION',
'defaultValueSpec': {
'defaultValueList': [
{
'defaultValue': 'string'
},
]
}
},
],
sampleUtterances=[
'string',
],
confirmationPrompt={
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
rejectionStatement={
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
followUpPrompt={
'prompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
}
},
conclusionStatement={
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
dialogCodeHook={
'uri': 'string',
'messageVersion': 'string'
},
fulfillmentActivity={
'type': 'ReturnIntent'|'CodeHook',
'codeHook': {
'uri': 'string',
'messageVersion': 'string'
}
},
parentIntentSignature='string',
checksum='string',
createVersion=True|False,
kendraConfiguration={
'kendraIndex': 'string',
'queryFilterString': 'string',
'role': 'string'
},
inputContexts=[
{
'name': 'string'
},
],
outputContexts=[
{
'name': 'string',
'timeToLiveInSeconds': 123,
'turnsToLive': 123
},
]
)
[REQUIRED]
The name of the intent. The name is not case sensitive.
The name can't match a built-in intent name, or a built-in intent name with "AMAZON." removed. For example, because there is a built-in intent called AMAZON.HelpIntent
, you can't create a custom intent called HelpIntent
.
For a list of built-in intents, see Standard Built-in Intents in the Alexa Skills Kit .
An array of intent slots. At runtime, Amazon Lex elicits required slot values from the user using prompts defined in the slots. For more information, see how-it-works .
Identifies the version of a specific slot.
The name of the slot.
A description of the slot.
Specifies whether the slot is required or optional.
The type of the slot, either a custom slot type that you defined or one of the built-in slot types.
The version of the slot type.
The prompt that Amazon Lex uses to elicit the slot value from the user.
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).
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
The number of times to prompt the user for information.
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 .
Directs Amazon Lex the order in which to elicit this slot value from the user. For example, if the intent has two slots with priorities 1 and 2, AWS Amazon Lex first elicits a value for the slot with priority 1.
If multiple slots share the same priority, the order in which Amazon Lex elicits values is arbitrary.
If you know a specific pattern with which users might respond to an Amazon Lex request for a slot value, you can provide those utterances to improve accuracy. This is optional. In most cases, Amazon Lex is capable of understanding user utterances.
A set of possible responses for the slot type used by text-based clients. A user chooses an option from the response card, instead of using text to reply.
Determines whether a slot is obfuscated in conversation logs and stored utterances. When you obfuscate a slot, the value is replaced by the slot name in curly braces ({}). For example, if the slot name is "full_name", obfuscated values are replaced with "{full_name}". For more information, see Slot Obfuscation .
A list of default values for the slot. Default values are used when Amazon Lex hasn't determined a value for a slot. You can specify default values from context variables, session attributes, and defined values.
The default values for a slot. You can specify more than one default. For example, you can specify a default value to use from a matching context variable, a session attribute, or a fixed value.
The default value chosen is selected based on the order that you specify them in the list. For example, if you specify a context variable and a fixed value in that order, Amazon Lex uses the context variable if it is available, else it uses the fixed value.
A default value for a slot.
The default value for the slot. You can specify one of the following:
#context-name.slot-name
- The slot value "slot-name" in the context "context-name."{attribute}
- The slot value of the session attribute "attribute."'value'
- The discrete value "value."An array of utterances (strings) that a user might say to signal the intent. For example, "I want {PizzaSize} pizza", "Order {Quantity} {PizzaSize} pizzas".
In each utterance, a slot name is enclosed in curly braces.
Prompts the user to confirm the intent. This question should have a yes or no answer.
Amazon Lex uses this prompt to ensure that the user acknowledges that the intent is ready for fulfillment. For example, with the OrderPizza
intent, you might want to confirm that the order is correct before placing it. For other intents, such as intents that simply respond to user questions, you might not need to ask the user for confirmation before providing the information.
Note
You you must provide both the rejectionStatement
and the confirmationPrompt
, or neither.
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).
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
The number of times to prompt the user for information.
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 .
When the user answers "no" to the question defined in confirmationPrompt
, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
Note
You must provide both the rejectionStatement
and the confirmationPrompt
, or neither.
A collection of message objects.
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
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.
Amazon Lex uses this prompt to solicit additional activity after fulfilling an intent. For example, after the OrderPizza
intent is fulfilled, you might prompt the user to order a drink.
The action that Amazon Lex takes depends on the user's response, as follows:
The followUpPrompt
field and the conclusionStatement
field are mutually exclusive. You can specify only one.
Prompts for information from the user.
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).
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
The number of times to prompt the user for information.
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 .
If the user answers "no" to the question defined in the prompt
field, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
A collection of message objects.
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
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.
The statement that you want Amazon Lex to convey to the user after the intent is successfully fulfilled by the Lambda function.
This element is relevant only if you provide a Lambda function in the fulfillmentActivity
. If you return the intent to the client application, you can't specify this element.
Note
The followUpPrompt
and conclusionStatement
are mutually exclusive. You can specify only one.
A collection of message objects.
The message object that provides the message text and its type.
The content type of the message string.
The text of the message.
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.
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.
Specifies a Lambda function to invoke for each user input. You can invoke this Lambda function to personalize user interaction.
For example, suppose your bot determines that the user is John. Your Lambda function might retrieve John's information from a backend database and prepopulate some of the values. For example, if you find that John is gluten intolerant, you might set the corresponding intent slot, GlutenIntolerant
, to true. You might find John's phone number and set the corresponding session attribute.
The Amazon Resource Name (ARN) of the Lambda function.
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
Required. Describes how the intent is fulfilled. For example, after a user provides all of the information for a pizza order, fulfillmentActivity
defines how the bot places an order with a local pizza store.
You might configure Amazon Lex to return all of the intent information to the client application, or direct it to invoke a Lambda function that can process the intent (for example, place an order with a pizzeria).
How the intent should be fulfilled, either by running a Lambda function or by returning the slot data to the client application.
A description of the Lambda function that is run to fulfill the intent.
The Amazon Resource Name (ARN) of the Lambda function.
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
Identifies a specific revision of the $LATEST
version.
When you create a new intent, leave the checksum
field blank. If you specify a checksum you get a BadRequestException
exception.
When you want to update a intent, set the checksum
field to the checksum of the most recent revision of the $LATEST
version. If you don't specify the checksum
field, or if the checksum does not match the $LATEST
version, you get a PreconditionFailedException
exception.
true
a new numbered version of the intent is created. This is the same as calling the CreateIntentVersion
operation. If you do not specify createVersion
, the default is false
.Configuration information required to use the AMAZON.KendraSearchIntent
intent to connect to an Amazon Kendra index. For more information, see AMAZON.KendraSearchIntent .
The Amazon Resource Name (ARN) of the Amazon Kendra index that you want the AMAZON.KendraSearchIntent intent to search. The index must be in the same account and Region as the Amazon Lex bot. If the Amazon Kendra index does not exist, you get an exception when you call the PutIntent
operation.
A query filter that Amazon Lex sends to Amazon Kendra to filter the response from the query. The filter is in the format defined by Amazon Kendra. For more information, see Filtering queries .
You can override this filter string with a new filter string at runtime.
The Amazon Resource Name (ARN) of an IAM role that has permission to search the Amazon Kendra index. The role must be in the same account and Region as the Amazon Lex bot. If the role does not exist, you get an exception when you call the PutIntent
operation.
An array of InputContext
objects that lists the contexts that must be active for Amazon Lex to choose the intent in a conversation with the user.
The name of a context that must be active for an intent to be selected by Amazon Lex.
The name of the context.
An array of OutputContext
objects that lists the contexts that the intent activates when the intent is fulfilled.
The specification of an output context that is set when an intent is fulfilled.
The name of the context.
The number of seconds that the context should be active after it is first sent in a PostContent
or PostText
response. You can set the value between 5 and 86,400 seconds (24 hours).
The number of conversation turns that the context should be active. A conversation turn is one PostContent
or PostText
request and the corresponding response from Amazon Lex.
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'slots': [
{
'name': 'string',
'description': 'string',
'slotConstraint': 'Required'|'Optional',
'slotType': 'string',
'slotTypeVersion': 'string',
'valueElicitationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'priority': 123,
'sampleUtterances': [
'string',
],
'responseCard': 'string',
'obfuscationSetting': 'NONE'|'DEFAULT_OBFUSCATION',
'defaultValueSpec': {
'defaultValueList': [
{
'defaultValue': 'string'
},
]
}
},
],
'sampleUtterances': [
'string',
],
'confirmationPrompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'followUpPrompt': {
'prompt': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'maxAttempts': 123,
'responseCard': 'string'
},
'rejectionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
}
},
'conclusionStatement': {
'messages': [
{
'contentType': 'PlainText'|'SSML'|'CustomPayload',
'content': 'string',
'groupNumber': 123
},
],
'responseCard': 'string'
},
'dialogCodeHook': {
'uri': 'string',
'messageVersion': 'string'
},
'fulfillmentActivity': {
'type': 'ReturnIntent'|'CodeHook',
'codeHook': {
'uri': 'string',
'messageVersion': 'string'
}
},
'parentIntentSignature': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string',
'checksum': 'string',
'createVersion': True|False,
'kendraConfiguration': {
'kendraIndex': 'string',
'queryFilterString': 'string',
'role': 'string'
},
'inputContexts': [
{
'name': 'string'
},
],
'outputContexts': [
{
'name': 'string',
'timeToLiveInSeconds': 123,
'turnsToLive': 123
},
]
}
Response Structure
(dict) --
name (string) --
The name of the intent.
description (string) --
A description of the intent.
slots (list) --
An array of intent slots that are configured for the intent.
(dict) --
Identifies the version of a specific slot.
name (string) --
The name of the slot.
description (string) --
A description of the slot.
slotConstraint (string) --
Specifies whether the slot is required or optional.
slotType (string) --
The type of the slot, either a custom slot type that you defined or one of the built-in slot types.
slotTypeVersion (string) --
The version of the slot type.
valueElicitationPrompt (dict) --
The prompt that Amazon Lex uses to elicit the slot value from the user.
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).
(dict) --
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 .
priority (integer) --
Directs Amazon Lex the order in which to elicit this slot value from the user. For example, if the intent has two slots with priorities 1 and 2, AWS Amazon Lex first elicits a value for the slot with priority 1.
If multiple slots share the same priority, the order in which Amazon Lex elicits values is arbitrary.
sampleUtterances (list) --
If you know a specific pattern with which users might respond to an Amazon Lex request for a slot value, you can provide those utterances to improve accuracy. This is optional. In most cases, Amazon Lex is capable of understanding user utterances.
responseCard (string) --
A set of possible responses for the slot type used by text-based clients. A user chooses an option from the response card, instead of using text to reply.
obfuscationSetting (string) --
Determines whether a slot is obfuscated in conversation logs and stored utterances. When you obfuscate a slot, the value is replaced by the slot name in curly braces ({}). For example, if the slot name is "full_name", obfuscated values are replaced with "{full_name}". For more information, see Slot Obfuscation .
defaultValueSpec (dict) --
A list of default values for the slot. Default values are used when Amazon Lex hasn't determined a value for a slot. You can specify default values from context variables, session attributes, and defined values.
defaultValueList (list) --
The default values for a slot. You can specify more than one default. For example, you can specify a default value to use from a matching context variable, a session attribute, or a fixed value.
The default value chosen is selected based on the order that you specify them in the list. For example, if you specify a context variable and a fixed value in that order, Amazon Lex uses the context variable if it is available, else it uses the fixed value.
(dict) --
A default value for a slot.
defaultValue (string) --
The default value for the slot. You can specify one of the following:
#context-name.slot-name
- The slot value "slot-name" in the context "context-name."{attribute}
- The slot value of the session attribute "attribute."'value'
- The discrete value "value."sampleUtterances (list) --
An array of sample utterances that are configured for the intent.
confirmationPrompt (dict) --
If defined in the intent, Amazon Lex prompts the user to confirm the intent before fulfilling it.
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).
(dict) --
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 .
rejectionStatement (dict) --
If the user answers "no" to the question defined in confirmationPrompt
Amazon Lex responds with this statement to acknowledge that the intent was canceled.
messages (list) --
A collection of message objects.
(dict) --
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.
followUpPrompt (dict) --
If defined in the intent, Amazon Lex uses this prompt to solicit additional user activity after the intent is fulfilled.
prompt (dict) --
Prompts for information from the user.
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).
(dict) --
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 .
rejectionStatement (dict) --
If the user answers "no" to the question defined in the prompt
field, Amazon Lex responds with this statement to acknowledge that the intent was canceled.
messages (list) --
A collection of message objects.
(dict) --
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.
conclusionStatement (dict) --
After the Lambda function specified in the``fulfillmentActivity`` intent fulfills the intent, Amazon Lex conveys this statement to the user.
messages (list) --
A collection of message objects.
(dict) --
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.
dialogCodeHook (dict) --
If defined in the intent, Amazon Lex invokes this Lambda function for each user input.
uri (string) --
The Amazon Resource Name (ARN) of the Lambda function.
messageVersion (string) --
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
fulfillmentActivity (dict) --
If defined in the intent, Amazon Lex invokes this Lambda function to fulfill the intent after the user provides all of the information required by the intent.
type (string) --
How the intent should be fulfilled, either by running a Lambda function or by returning the slot data to the client application.
codeHook (dict) --
A description of the Lambda function that is run to fulfill the intent.
uri (string) --
The Amazon Resource Name (ARN) of the Lambda function.
messageVersion (string) --
The version of the request-response that you want Amazon Lex to use to invoke your Lambda function. For more information, see using-lambda .
parentIntentSignature (string) --
A unique identifier for the built-in intent that this intent is based on.
lastUpdatedDate (datetime) --
The date that the intent was updated. When you create a resource, the creation date and last update dates are the same.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version of the intent. For a new intent, the version is always $LATEST
.
checksum (string) --
Checksum of the $LATEST
version of the intent created or updated.
createVersion (boolean) --
True
if a new version of the intent was created. If thecreateVersion
field was not specified in the request, thecreateVersion
field is set to false in the response.
kendraConfiguration (dict) --
Configuration information, if any, required to connect to an Amazon Kendra index and use the AMAZON.KendraSearchIntent
intent.
kendraIndex (string) --
The Amazon Resource Name (ARN) of the Amazon Kendra index that you want the AMAZON.KendraSearchIntent intent to search. The index must be in the same account and Region as the Amazon Lex bot. If the Amazon Kendra index does not exist, you get an exception when you call the PutIntent
operation.
queryFilterString (string) --
A query filter that Amazon Lex sends to Amazon Kendra to filter the response from the query. The filter is in the format defined by Amazon Kendra. For more information, see Filtering queries .
You can override this filter string with a new filter string at runtime.
role (string) --
The Amazon Resource Name (ARN) of an IAM role that has permission to search the Amazon Kendra index. The role must be in the same account and Region as the Amazon Lex bot. If the role does not exist, you get an exception when you call the PutIntent
operation.
inputContexts (list) --
An array of InputContext
objects that lists the contexts that must be active for Amazon Lex to choose the intent in a conversation with the user.
(dict) --
The name of a context that must be active for an intent to be selected by Amazon Lex.
name (string) --
The name of the context.
outputContexts (list) --
An array of OutputContext
objects that lists the contexts that the intent activates when the intent is fulfilled.
(dict) --
The specification of an output context that is set when an intent is fulfilled.
name (string) --
The name of the context.
timeToLiveInSeconds (integer) --
The number of seconds that the context should be active after it is first sent in a PostContent
or PostText
response. You can set the value between 5 and 86,400 seconds (24 hours).
turnsToLive (integer) --
The number of conversation turns that the context should be active. A conversation turn is one PostContent
or PostText
request and the corresponding response from Amazon Lex.
Exceptions
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
Examples
This example shows how to create an intent for ordering pizzas.
response = client.put_intent(
name='DocOrderPizza',
conclusionStatement={
'messages': [
{
'content': 'All right, I ordered you a {Crust} crust {Type} pizza with {Sauce} sauce.',
'contentType': 'PlainText',
},
{
'content': 'OK, your {Crust} crust {Type} pizza with {Sauce} sauce is on the way.',
'contentType': 'PlainText',
},
],
'responseCard': 'foo',
},
confirmationPrompt={
'maxAttempts': 1,
'messages': [
{
'content': 'Should I order your {Crust} crust {Type} pizza with {Sauce} sauce?',
'contentType': 'PlainText',
},
],
},
description='Order a pizza from a local pizzeria.',
fulfillmentActivity={
'type': 'ReturnIntent',
},
rejectionStatement={
'messages': [
{
'content': 'Ok, I'll cancel your order.',
'contentType': 'PlainText',
},
{
'content': 'I cancelled your order.',
'contentType': 'PlainText',
},
],
},
sampleUtterances=[
'Order me a pizza.',
'Order me a {Type} pizza.',
'I want a {Crust} crust {Type} pizza',
'I want a {Crust} crust {Type} pizza with {Sauce} sauce.',
],
slots=[
{
'name': 'Type',
'description': 'The type of pizza to order.',
'priority': 1,
'sampleUtterances': [
'Get me a {Type} pizza.',
'A {Type} pizza please.',
'I'd like a {Type} pizza.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'What type of pizza would you like?',
'contentType': 'PlainText',
},
{
'content': 'Vegie or cheese pizza?',
'contentType': 'PlainText',
},
{
'content': 'I can get you a vegie or a cheese pizza.',
'contentType': 'PlainText',
},
],
},
},
{
'name': 'Crust',
'description': 'The type of pizza crust to order.',
'priority': 2,
'sampleUtterances': [
'Make it a {Crust} crust.',
'I'd like a {Crust} crust.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaCrustType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'What type of crust would you like?',
'contentType': 'PlainText',
},
{
'content': 'Thick or thin crust?',
'contentType': 'PlainText',
},
],
},
},
{
'name': 'Sauce',
'description': 'The type of sauce to use on the pizza.',
'priority': 3,
'sampleUtterances': [
'Make it {Sauce} sauce.',
'I'd like {Sauce} sauce.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaSauceType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'White or red sauce?',
'contentType': 'PlainText',
},
{
'content': 'Garlic or tomato sauce?',
'contentType': 'PlainText',
},
],
},
},
],
)
print(response)
Expected Output:
{
'version': '$LATEST',
'name': 'DocOrderPizza',
'checksum': 'ca9bc13d-afc8-4706-bbaf-091f7a5935d6',
'conclusionStatement': {
'messages': [
{
'content': 'All right, I ordered you a {Crust} crust {Type} pizza with {Sauce} sauce.',
'contentType': 'PlainText',
},
{
'content': 'OK, your {Crust} crust {Type} pizza with {Sauce} sauce is on the way.',
'contentType': 'PlainText',
},
],
'responseCard': 'foo',
},
'confirmationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'Should I order your {Crust} crust {Type} pizza with {Sauce} sauce?',
'contentType': 'PlainText',
},
],
},
'createdDate': 1494359783.453,
'description': 'Order a pizza from a local pizzeria.',
'fulfillmentActivity': {
'type': 'ReturnIntent',
},
'lastUpdatedDate': 1494359783.453,
'rejectionStatement': {
'messages': [
{
'content': 'Ok, I'll cancel your order.',
'contentType': 'PlainText',
},
{
'content': 'I cancelled your order.',
'contentType': 'PlainText',
},
],
},
'sampleUtterances': [
'Order me a pizza.',
'Order me a {Type} pizza.',
'I want a {Crust} crust {Type} pizza',
'I want a {Crust} crust {Type} pizza with {Sauce} sauce.',
],
'slots': [
{
'name': 'Sauce',
'description': 'The type of sauce to use on the pizza.',
'priority': 3,
'sampleUtterances': [
'Make it {Sauce} sauce.',
'I'd like {Sauce} sauce.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaSauceType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'White or red sauce?',
'contentType': 'PlainText',
},
{
'content': 'Garlic or tomato sauce?',
'contentType': 'PlainText',
},
],
},
},
{
'name': 'Type',
'description': 'The type of pizza to order.',
'priority': 1,
'sampleUtterances': [
'Get me a {Type} pizza.',
'A {Type} pizza please.',
'I'd like a {Type} pizza.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'What type of pizza would you like?',
'contentType': 'PlainText',
},
{
'content': 'Vegie or cheese pizza?',
'contentType': 'PlainText',
},
{
'content': 'I can get you a vegie or a cheese pizza.',
'contentType': 'PlainText',
},
],
},
},
{
'name': 'Crust',
'description': 'The type of pizza crust to order.',
'priority': 2,
'sampleUtterances': [
'Make it a {Crust} crust.',
'I'd like a {Crust} crust.',
],
'slotConstraint': 'Required',
'slotType': 'DocPizzaCrustType',
'slotTypeVersion': '$LATEST',
'valueElicitationPrompt': {
'maxAttempts': 1,
'messages': [
{
'content': 'What type of crust would you like?',
'contentType': 'PlainText',
},
{
'content': 'Thick or thin crust?',
'contentType': 'PlainText',
},
],
},
},
],
'ResponseMetadata': {
'...': '...',
},
}
put_slot_type
(**kwargs)¶Creates a custom slot type or replaces an existing custom slot type.
To create a custom slot type, specify a name for the slot type and a set of enumeration values, which are the values that a slot of this type can assume. For more information, see how-it-works .
If you specify the name of an existing slot type, the fields in the request replace the existing values in the $LATEST
version of the slot type. Amazon Lex removes the fields that you don't provide in the request. If you don't specify required fields, Amazon Lex throws an exception. When you update the $LATEST
version of a slot type, if a bot uses the $LATEST
version of an intent that contains the slot type, the bot's status
field is set to NOT_BUILT
.
This operation requires permissions for the lex:PutSlotType
action.
See also: AWS API Documentation
Request Syntax
response = client.put_slot_type(
name='string',
description='string',
enumerationValues=[
{
'value': 'string',
'synonyms': [
'string',
]
},
],
checksum='string',
valueSelectionStrategy='ORIGINAL_VALUE'|'TOP_RESOLUTION',
createVersion=True|False,
parentSlotTypeSignature='string',
slotTypeConfigurations=[
{
'regexConfiguration': {
'pattern': 'string'
}
},
]
)
[REQUIRED]
The name of the slot type. The name is not case sensitive.
The name can't match a built-in slot type name, or a built-in slot type name with "AMAZON." removed. For example, because there is a built-in slot type called AMAZON.DATE
, you can't create a custom slot type called DATE
.
For a list of built-in slot types, see Slot Type Reference in the Alexa Skills Kit .
A list of EnumerationValue
objects that defines the values that the slot type can take. Each value can have a list of synonyms
, which are additional values that help train the machine learning model about the values that it resolves for a slot.
A regular expression slot type doesn't require enumeration values. All other slot types require a list of enumeration values.
When Amazon Lex resolves a slot value, it generates a resolution list that contains up to five possible values for the slot. If you are using a Lambda function, this resolution list is passed to the function. If you are not using a Lambda function you can choose to return the value that the user entered or the first value in the resolution list as the slot value. The valueSelectionStrategy
field indicates the option to use.
Each slot type can have a set of values. Each enumeration value represents a value the slot type can take.
For example, a pizza ordering bot could have a slot type that specifies the type of crust that the pizza should have. The slot type could include the values
The value of the slot type.
Additional values related to the slot type value.
Identifies a specific revision of the $LATEST
version.
When you create a new slot type, leave the checksum
field blank. If you specify a checksum you get a BadRequestException
exception.
When you want to update a slot type, set the checksum
field to the checksum of the most recent revision of the $LATEST
version. If you don't specify the checksum
field, or if the checksum does not match the $LATEST
version, you get a PreconditionFailedException
exception.
Determines the slot resolution strategy that Amazon Lex uses to return slot type values. The field can be set to one of the following values:
ORIGINAL_VALUE
- Returns the value entered by the user, if the user value is similar to the slot value.TOP_RESOLUTION
- If there is a resolution list for the slot, return the first value in the resolution list as the slot type value. If there is no resolution list, null is returned.If you don't specify the valueSelectionStrategy
, the default is ORIGINAL_VALUE
.
true
a new numbered version of the slot type is created. This is the same as calling the CreateSlotTypeVersion
operation. If you do not specify createVersion
, the default is false
.The built-in slot type used as the parent of the slot type. When you define a parent slot type, the new slot type has all of the same configuration as the parent.
Only AMAZON.AlphaNumeric
is supported.
Configuration information that extends the parent built-in slot type. The configuration is added to the settings for the parent slot type.
Provides configuration information for a slot type.
A regular expression used to validate the value of a slot.
A regular expression used to validate the value of a slot.
Use a standard regular expression. Amazon Lex supports the following characters in the regular expression:
Represent Unicode characters with four digits, for example "u0041" or "u005A".
The following regular expression operators are not supported:
dict
Response Syntax
{
'name': 'string',
'description': 'string',
'enumerationValues': [
{
'value': 'string',
'synonyms': [
'string',
]
},
],
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string',
'checksum': 'string',
'valueSelectionStrategy': 'ORIGINAL_VALUE'|'TOP_RESOLUTION',
'createVersion': True|False,
'parentSlotTypeSignature': 'string',
'slotTypeConfigurations': [
{
'regexConfiguration': {
'pattern': 'string'
}
},
]
}
Response Structure
(dict) --
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
enumerationValues (list) --
A list of EnumerationValue
objects that defines the values that the slot type can take.
(dict) --
Each slot type can have a set of values. Each enumeration value represents a value the slot type can take.
For example, a pizza ordering bot could have a slot type that specifies the type of crust that the pizza should have. The slot type could include the values
value (string) --
The value of the slot type.
synonyms (list) --
Additional values related to the slot type value.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a slot type, the creation date and last update date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version of the slot type. For a new slot type, the version is always $LATEST
.
checksum (string) --
Checksum of the $LATEST
version of the slot type.
valueSelectionStrategy (string) --
The slot resolution strategy that Amazon Lex uses to determine the value of the slot. For more information, see PutSlotType .
createVersion (boolean) --
True
if a new version of the slot type was created. If thecreateVersion
field was not specified in the request, thecreateVersion
field is set to false in the response.
parentSlotTypeSignature (string) --
The built-in slot type used as the parent of the slot type.
slotTypeConfigurations (list) --
Configuration information that extends the parent built-in slot type.
(dict) --
Provides configuration information for a slot type.
regexConfiguration (dict) --
A regular expression used to validate the value of a slot.
pattern (string) --
A regular expression used to validate the value of a slot.
Use a standard regular expression. Amazon Lex supports the following characters in the regular expression:
Represent Unicode characters with four digits, for example "u0041" or "u005A".
The following regular expression operators are not supported:
Exceptions
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.PreconditionFailedException
Examples
This example shows how to create a slot type that describes pizza sauces.
response = client.put_slot_type(
name='PizzaSauceType',
description='Available pizza sauces',
enumerationValues=[
{
'value': 'red',
},
{
'value': 'white',
},
],
)
print(response)
Expected Output:
{
'version': '$LATEST',
'name': 'DocPizzaSauceType',
'checksum': 'cfd00ed1-775d-4357-947c-aca7e73b44ba',
'createdDate': 1494356442.23,
'description': 'Available pizza sauces',
'enumerationValues': [
{
'value': 'red',
},
{
'value': 'white',
},
],
'lastUpdatedDate': 1494356442.23,
'ResponseMetadata': {
'...': '...',
},
}
start_import
(**kwargs)¶Starts a job to import a resource to Amazon Lex.
See also: AWS API Documentation
Request Syntax
response = client.start_import(
payload=b'bytes',
resourceType='BOT'|'INTENT'|'SLOT_TYPE',
mergeStrategy='OVERWRITE_LATEST'|'FAIL_ON_CONFLICT',
tags=[
{
'key': 'string',
'value': 'string'
},
]
)
[REQUIRED]
A zip archive in binary format. The archive should contain one file, a JSON file containing the resource to import. The resource should match the type specified in the resourceType
field.
[REQUIRED]
Specifies the type of resource to export. Each resource also exports any resources that it depends on.
[REQUIRED]
Specifies the action that the StartImport
operation should take when there is an existing resource with the same name.
failureReason
field of the response to the GetImport
operation. OVERWRITE_LATEST - The import operation proceeds even if there is a conflict with an existing resource. The $LASTEST version of the existing resource is overwritten with the data from the import file.A list of tags to add to the imported bot. You can only add tags when you import a bot, you can't add tags to an intent or slot type.
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
The key for the tag. Keys are not case-sensitive and must be unique.
The value associated with a key. The value may be an empty string but it can't be null.
dict
Response Syntax
{
'name': 'string',
'resourceType': 'BOT'|'INTENT'|'SLOT_TYPE',
'mergeStrategy': 'OVERWRITE_LATEST'|'FAIL_ON_CONFLICT',
'importId': 'string',
'importStatus': 'IN_PROGRESS'|'COMPLETE'|'FAILED',
'tags': [
{
'key': 'string',
'value': 'string'
},
],
'createdDate': datetime(2015, 1, 1)
}
Response Structure
(dict) --
name (string) --
The name given to the import job.
resourceType (string) --
The type of resource to import.
mergeStrategy (string) --
The action to take when there is a merge conflict.
importId (string) --
The identifier for the specific import job.
importStatus (string) --
The status of the import job. If the status is FAILED
, you can get the reason for the failure using the GetImport
operation.
tags (list) --
A list of tags added to the imported bot.
(dict) --
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
key (string) --
The key for the tag. Keys are not case-sensitive and must be unique.
value (string) --
The value associated with a key. The value may be an empty string but it can't be null.
createdDate (datetime) --
A timestamp for the date and time that the import job was requested.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
start_migration
(**kwargs)¶Starts migrating a bot from Amazon Lex V1 to Amazon Lex V2. Migrate your bot when you want to take advantage of the new features of Amazon Lex V2.
For more information, see Migrating a bot in the Amazon Lex developer guide .
See also: AWS API Documentation
Request Syntax
response = client.start_migration(
v1BotName='string',
v1BotVersion='string',
v2BotName='string',
v2BotRole='string',
migrationStrategy='CREATE_NEW'|'UPDATE_EXISTING'
)
[REQUIRED]
The name of the Amazon Lex V1 bot that you are migrating to Amazon Lex V2.
[REQUIRED]
The version of the bot to migrate to Amazon Lex V2. You can migrate the $LATEST
version as well as any numbered version.
[REQUIRED]
The name of the Amazon Lex V2 bot that you are migrating the Amazon Lex V1 bot to.
CREATE_NEW
migration strategy.UPDATE_EXISTING
migration strategy to change the contents of the Amazon Lex V2 bot.[REQUIRED]
The IAM role that Amazon Lex uses to run the Amazon Lex V2 bot.
[REQUIRED]
The strategy used to conduct the migration.
CREATE_NEW
- Creates a new Amazon Lex V2 bot and migrates the Amazon Lex V1 bot to the new bot.UPDATE_EXISTING
- Overwrites the existing Amazon Lex V2 bot metadata and the locale being migrated. It doesn't change any other locales in the Amazon Lex V2 bot. If the locale doesn't exist, a new locale is created in the Amazon Lex V2 bot.dict
Response Syntax
{
'v1BotName': 'string',
'v1BotVersion': 'string',
'v1BotLocale': 'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
'v2BotId': 'string',
'v2BotRole': 'string',
'migrationId': 'string',
'migrationStrategy': 'CREATE_NEW'|'UPDATE_EXISTING',
'migrationTimestamp': datetime(2015, 1, 1)
}
Response Structure
(dict) --
v1BotName (string) --
The name of the Amazon Lex V1 bot that you are migrating to Amazon Lex V2.
v1BotVersion (string) --
The version of the bot to migrate to Amazon Lex V2.
v1BotLocale (string) --
The locale used for the Amazon Lex V1 bot.
v2BotId (string) --
The unique identifier for the Amazon Lex V2 bot.
v2BotRole (string) --
The IAM role that Amazon Lex uses to run the Amazon Lex V2 bot.
migrationId (string) --
The unique identifier that Amazon Lex assigned to the migration.
migrationStrategy (string) --
The strategy used to conduct the migration.
migrationTimestamp (datetime) --
The date and time that the migration started.
Exceptions
LexModelBuildingService.Client.exceptions.LimitExceededException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.AccessDeniedException
LexModelBuildingService.Client.exceptions.NotFoundException
tag_resource
(**kwargs)¶Adds the specified tags to the specified resource. If a tag key already exists, the existing value is replaced with the new value.
See also: AWS API Documentation
Request Syntax
response = client.tag_resource(
resourceArn='string',
tags=[
{
'key': 'string',
'value': 'string'
},
]
)
[REQUIRED]
The Amazon Resource Name (ARN) of the bot, bot alias, or bot channel to tag.
[REQUIRED]
A list of tag keys to add to the resource. If a tag key already exists, the existing value is replaced with the new value.
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
The key for the tag. Keys are not case-sensitive and must be unique.
The value associated with a key. The value may be an empty string but it can't be null.
dict
Response Syntax
{}
Response Structure
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.LimitExceededException
untag_resource
(**kwargs)¶Removes tags from a bot, bot alias or bot channel.
See also: AWS API Documentation
Request Syntax
response = client.untag_resource(
resourceArn='string',
tagKeys=[
'string',
]
)
[REQUIRED]
The Amazon Resource Name (ARN) of the resource to remove the tags from.
[REQUIRED]
A list of tag keys to remove from the resource. If a tag key does not exist on the resource, it is ignored.
dict
Response Syntax
{}
Response Structure
Exceptions
LexModelBuildingService.Client.exceptions.NotFoundException
LexModelBuildingService.Client.exceptions.BadRequestException
LexModelBuildingService.Client.exceptions.ConflictException
LexModelBuildingService.Client.exceptions.InternalFailureException
LexModelBuildingService.Client.exceptions.LimitExceededException
The available paginators are:
LexModelBuildingService.Paginator.GetBotAliases
LexModelBuildingService.Paginator.GetBotChannelAssociations
LexModelBuildingService.Paginator.GetBotVersions
LexModelBuildingService.Paginator.GetBots
LexModelBuildingService.Paginator.GetBuiltinIntents
LexModelBuildingService.Paginator.GetBuiltinSlotTypes
LexModelBuildingService.Paginator.GetIntentVersions
LexModelBuildingService.Paginator.GetIntents
LexModelBuildingService.Paginator.GetSlotTypeVersions
LexModelBuildingService.Paginator.GetSlotTypes
LexModelBuildingService.Paginator.
GetBotAliases
¶paginator = client.get_paginator('get_bot_aliases')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_bot_aliases()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
botName='string',
nameContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the bot.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'BotAliases': [
{
'name': 'string',
'description': 'string',
'botVersion': 'string',
'botName': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'checksum': 'string',
'conversationLogs': {
'logSettings': [
{
'logType': 'AUDIO'|'TEXT',
'destination': 'CLOUDWATCH_LOGS'|'S3',
'kmsKeyArn': 'string',
'resourceArn': 'string',
'resourcePrefix': 'string'
},
],
'iamRoleArn': 'string'
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
BotAliases (list) --
An array of BotAliasMetadata
objects, each describing a bot alias.
(dict) --
Provides information about a bot alias.
name (string) --
The name of the bot alias.
description (string) --
A description of the bot alias.
botVersion (string) --
The version of the Amazon Lex bot to which the alias points.
botName (string) --
The name of the bot to which the alias points.
lastUpdatedDate (datetime) --
The date that the bot alias was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot alias was created.
checksum (string) --
Checksum of the bot alias.
conversationLogs (dict) --
Settings that determine how Amazon Lex uses conversation logs for the alias.
logSettings (list) --
The settings for your conversation logs. You can log text, audio, or both.
(dict) --
The settings for conversation logs.
logType (string) --
The type of logging that is enabled.
destination (string) --
The destination where logs are delivered.
kmsKeyArn (string) --
The Amazon Resource Name (ARN) of the key used to encrypt audio logs in an S3 bucket.
resourceArn (string) --
The Amazon Resource Name (ARN) of the CloudWatch Logs log group or S3 bucket where the logs are delivered.
resourcePrefix (string) --
The resource prefix is the first part of the S3 object key within the S3 bucket that you specified to contain audio logs. For CloudWatch Logs it is the prefix of the log stream name within the log group that you specified.
iamRoleArn (string) --
The Amazon Resource Name (ARN) of the IAM role used to write your logs to CloudWatch Logs or an S3 bucket.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetBotChannelAssociations
¶paginator = client.get_paginator('get_bot_channel_associations')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_bot_channel_associations()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
botName='string',
botAlias='string',
nameContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the Amazon Lex bot in the association.
[REQUIRED]
An alias pointing to the specific version of the Amazon Lex bot to which this association is being made.
nameContains
parameter.A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'botChannelAssociations': [
{
'name': 'string',
'description': 'string',
'botAlias': 'string',
'botName': 'string',
'createdDate': datetime(2015, 1, 1),
'type': 'Facebook'|'Slack'|'Twilio-Sms'|'Kik',
'botConfiguration': {
'string': 'string'
},
'status': 'IN_PROGRESS'|'CREATED'|'FAILED',
'failureReason': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
botChannelAssociations (list) --
An array of objects, one for each association, that provides information about the Amazon Lex bot and its association with the channel.
(dict) --
Represents an association between an Amazon Lex bot and an external messaging platform.
name (string) --
The name of the association between the bot and the channel.
description (string) --
A text description of the association you are creating.
botAlias (string) --
An alias pointing to the specific version of the Amazon Lex bot to which this association is being made.
botName (string) --
The name of the Amazon Lex bot to which this association is being made.
Note
Currently, Amazon Lex supports associations with Facebook and Slack, and Twilio.
createdDate (datetime) --
The date that the association between the Amazon Lex bot and the channel was created.
type (string) --
Specifies the type of association by indicating the type of channel being established between the Amazon Lex bot and the external messaging platform.
botConfiguration (dict) --
Provides information necessary to communicate with the messaging platform.
status (string) --
The status of the bot channel.
CREATED
- The channel has been created and is ready for use.IN_PROGRESS
- Channel creation is in progress.FAILED
- There was an error creating the channel. For information about the reason for the failure, see the failureReason
field.failureReason (string) --
If status
is FAILED
, Amazon Lex provides the reason that it failed to create the association.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetBotVersions
¶paginator = client.get_paginator('get_bot_versions')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_bot_versions()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
name='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the bot for which versions should be returned.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'bots': [
{
'name': 'string',
'description': 'string',
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
bots (list) --
An array of BotMetadata
objects, one for each numbered version of the bot plus one for the $LATEST
version.
(dict) --
Provides information about a bot. .
name (string) --
The name of the bot.
description (string) --
A description of the bot.
status (string) --
The status of the bot.
lastUpdatedDate (datetime) --
The date that the bot was updated. When you create a bot, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot was created.
version (string) --
The version of the bot. For a new bot, the version is always $LATEST
.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetBots
¶paginator = client.get_paginator('get_bots')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_bots()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
nameContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'bots': [
{
'name': 'string',
'description': 'string',
'status': 'BUILDING'|'READY'|'READY_BASIC_TESTING'|'FAILED'|'NOT_BUILT',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
bots (list) --
An array of botMetadata
objects, with one entry for each bot.
(dict) --
Provides information about a bot. .
name (string) --
The name of the bot.
description (string) --
A description of the bot.
status (string) --
The status of the bot.
lastUpdatedDate (datetime) --
The date that the bot was updated. When you create a bot, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the bot was created.
version (string) --
The version of the bot. For a new bot, the version is always $LATEST
.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetBuiltinIntents
¶paginator = client.get_paginator('get_builtin_intents')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_builtin_intents()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
locale='de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
signatureContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'intents': [
{
'signature': 'string',
'supportedLocales': [
'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
]
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
intents (list) --
An array of builtinIntentMetadata
objects, one for each intent in the response.
(dict) --
Provides metadata for a built-in intent.
signature (string) --
A unique identifier for the built-in intent. To find the signature for an intent, see Standard Built-in Intents in the Alexa Skills Kit .
supportedLocales (list) --
A list of identifiers for the locales that the intent supports.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetBuiltinSlotTypes
¶paginator = client.get_paginator('get_builtin_slot_types')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_builtin_slot_types()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
locale='de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
signatureContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'slotTypes': [
{
'signature': 'string',
'supportedLocales': [
'de-DE'|'en-AU'|'en-GB'|'en-IN'|'en-US'|'es-419'|'es-ES'|'es-US'|'fr-FR'|'fr-CA'|'it-IT'|'ja-JP'|'ko-KR',
]
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
slotTypes (list) --
An array of BuiltInSlotTypeMetadata
objects, one entry for each slot type returned.
(dict) --
Provides information about a built in slot type.
signature (string) --
A unique identifier for the built-in slot type. To find the signature for a slot type, see Slot Type Reference in the Alexa Skills Kit .
supportedLocales (list) --
A list of target locales for the slot.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetIntentVersions
¶paginator = client.get_paginator('get_intent_versions')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_intent_versions()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
name='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the intent for which versions should be returned.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'intents': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
intents (list) --
An array of IntentMetadata
objects, one for each numbered version of the intent plus one for the $LATEST
version.
(dict) --
Provides information about an intent.
name (string) --
The name of the intent.
description (string) --
A description of the intent.
lastUpdatedDate (datetime) --
The date that the intent was updated. When you create an intent, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version of the intent.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetIntents
¶paginator = client.get_paginator('get_intents')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_intents()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
nameContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'intents': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
intents (list) --
An array of Intent
objects. For more information, see PutBot .
(dict) --
Provides information about an intent.
name (string) --
The name of the intent.
description (string) --
A description of the intent.
lastUpdatedDate (datetime) --
The date that the intent was updated. When you create an intent, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the intent was created.
version (string) --
The version of the intent.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetSlotTypeVersions
¶paginator = client.get_paginator('get_slot_type_versions')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_slot_type_versions()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
name='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The name of the slot type for which versions should be returned.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'slotTypes': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
slotTypes (list) --
An array of SlotTypeMetadata
objects, one for each numbered version of the slot type plus one for the $LATEST
version.
(dict) --
Provides information about a slot type..
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version of the slot type.
NextToken (string) --
A token to resume pagination.
LexModelBuildingService.Paginator.
GetSlotTypes
¶paginator = client.get_paginator('get_slot_types')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from LexModelBuildingService.Client.get_slot_types()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
nameContains='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'slotTypes': [
{
'name': 'string',
'description': 'string',
'lastUpdatedDate': datetime(2015, 1, 1),
'createdDate': datetime(2015, 1, 1),
'version': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
slotTypes (list) --
An array of objects, one for each slot type, that provides information such as the name of the slot type, the version, and a description.
(dict) --
Provides information about a slot type..
name (string) --
The name of the slot type.
description (string) --
A description of the slot type.
lastUpdatedDate (datetime) --
The date that the slot type was updated. When you create a resource, the creation date and last updated date are the same.
createdDate (datetime) --
The date that the slot type was created.
version (string) --
The version of the slot type.
NextToken (string) --
A token to resume pagination.