Client

lexmodelsv2

R Documentation

Amazon Lex Model Building V2¶

Description¶

Amazon Lex Model Building V2

Usage¶

lexmodelsv2(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments¶

config

Optional configuration of credentials, endpoint, and/or region.

credentials:
- creds:
  - access_key_id: AWS access key ID
  - secret_access_key: AWS secret access key
  - session_token: AWS temporary session token
- profile: The name of a profile to use. If not given, then the default profile is used.
- anonymous: Set anonymous credentials.
endpoint: The complete URL to use for the constructed client.
region: The AWS Region used in instantiating the client.
close_connection: Immediately close all HTTP connections.
timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠.
sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

creds:
- access_key_id: AWS access key ID
- secret_access_key: AWS secret access key
- session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Value¶

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax¶

svc <- lexmodelsv2(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations¶

batch_create_custom_vocabulary_item: Create a batch of custom vocabulary items for a given bot locale's custom vocabulary
batch_delete_custom_vocabulary_item: Delete a batch of custom vocabulary items for a given bot locale's custom vocabulary
batch_update_custom_vocabulary_item: Update a batch of custom vocabulary items for a given bot locale's custom vocabulary
build_bot_locale: Builds a bot, its intents, and its slot types into a specific locale
create_bot: Creates an Amazon Lex conversational bot
create_bot_alias: Creates an alias for the specified version of a bot
create_bot_locale: Creates a locale in the bot
create_bot_version: Creates an immutable version of the bot
create_export: Creates a zip archive containing the contents of a bot or a bot locale
create_intent: Creates an intent
create_resource_policy: Creates a new resource policy with the specified policy statements
create_resource_policy_statement: Adds a new resource policy statement to a bot or bot alias
create_slot: Creates a slot in an intent
create_slot_type: Creates a custom slot type
create_test_set_discrepancy_report: Create a report that describes the differences between the bot and the test set
create_upload_url: Gets a pre-signed S3 write URL that you use to upload the zip archive when importing a bot or a bot locale
delete_bot: Deletes all versions of a bot, including the Draft version
delete_bot_alias: Deletes the specified bot alias
delete_bot_locale: Removes a locale from a bot
delete_bot_version: Deletes a specific version of a bot
delete_custom_vocabulary: Removes a custom vocabulary from the specified locale in the specified bot
delete_export: Removes a previous export and the associated files stored in an S3 bucket
delete_import: Removes a previous import and the associated file stored in an S3 bucket
delete_intent: Removes the specified intent
delete_resource_policy: Removes an existing policy from a bot or bot alias
delete_resource_policy_statement: Deletes a policy statement from a resource policy
delete_slot: Deletes the specified slot from an intent
delete_slot_type: Deletes a slot type from a bot locale
delete_test_set: The action to delete the selected test set
delete_utterances: Deletes stored utterances
describe_bot: Provides metadata information about a bot
describe_bot_alias: Get information about a specific bot alias
describe_bot_locale: Describes the settings that a bot has for a specific locale
describe_bot_recommendation: Provides metadata information about a bot recommendation
describe_bot_resource_generation: Returns information about a request to generate a bot through natural language description, made through the StartBotResource API
describe_bot_version: Provides metadata about a version of a bot
describe_custom_vocabulary_metadata: Provides metadata information about a custom vocabulary
describe_export: Gets information about a specific export
describe_import: Gets information about a specific import
describe_intent: Returns metadata about an intent
describe_resource_policy: Gets the resource policy and policy revision for a bot or bot alias
describe_slot: Gets metadata information about a slot
describe_slot_type: Gets metadata information about a slot type
describe_test_execution: Gets metadata information about the test execution
describe_test_set: Gets metadata information about the test set
describe_test_set_discrepancy_report: Gets metadata information about the test set discrepancy report
describe_test_set_generation: Gets metadata information about the test set generation
generate_bot_element: Generates sample utterances for an intent
get_test_execution_artifacts_url: The pre-signed Amazon S3 URL to download the test execution result artifacts
list_aggregated_utterances: Provides a list of utterances that users have sent to the bot
list_bot_aliases: Gets a list of aliases for the specified bot
list_bot_locales: Gets a list of locales for the specified bot
list_bot_recommendations: Get a list of bot recommendations that meet the specified criteria
list_bot_resource_generations: Lists the generation requests made for a bot locale
list_bots: Gets a list of available bots
list_bot_versions: Gets information about all of the versions of a bot
list_built_in_intents: Gets a list of built-in intents provided by Amazon Lex that you can use in your bot
list_built_in_slot_types: Gets a list of built-in slot types that meet the specified criteria
list_custom_vocabulary_items: Paginated list of custom vocabulary items for a given bot locale's custom vocabulary
list_exports: Lists the exports for a bot, bot locale, or custom vocabulary
list_imports: Lists the imports for a bot, bot locale, or custom vocabulary
list_intent_metrics: Retrieves summary metrics for the intents in your bot
list_intent_paths: Retrieves summary statistics for a path of intents that users take over sessions with your bot
list_intents: Get a list of intents that meet the specified criteria
list_intent_stage_metrics: Retrieves summary metrics for the stages within intents in your bot
list_recommended_intents: Gets a list of recommended intents provided by the bot recommendation that you can use in your bot
list_session_analytics_data: Retrieves a list of metadata for individual user sessions with your bot
list_session_metrics: Retrieves summary metrics for the user sessions with your bot
list_slots: Gets a list of slots that match the specified criteria
list_slot_types: Gets a list of slot types that match the specified criteria
list_tags_for_resource: Gets a list of tags associated with a resource
list_test_execution_result_items: Gets a list of test execution result items
list_test_executions: The list of test set executions
list_test_set_records: The list of test set records
list_test_sets: The list of the test sets
list_utterance_analytics_data: To use this API operation, your IAM role must have permissions to perform the ListAggregatedUtterances operation, which provides access to utterance-related analytics
list_utterance_metrics: To use this API operation, your IAM role must have permissions to perform the ListAggregatedUtterances operation, which provides access to utterance-related analytics
search_associated_transcripts: Search for associated transcripts that meet the specified criteria
start_bot_recommendation: Use this to provide your transcript data, and to start the bot recommendation process
start_bot_resource_generation: Starts a request for the descriptive bot builder to generate a bot locale configuration based on the prompt you provide it
start_import: Starts importing a bot, bot locale, or custom vocabulary from a zip archive that you uploaded to an S3 bucket
start_test_execution: The action to start test set execution
start_test_set_generation: The action to start the generation of test set
stop_bot_recommendation: Stop an already running Bot Recommendation request
tag_resource: Adds the specified tags to the specified resource
untag_resource: Removes tags from a bot, bot alias, or bot channel
update_bot: Updates the configuration of an existing bot
update_bot_alias: Updates the configuration of an existing bot alias
update_bot_locale: Updates the settings that a bot has for a specific locale
update_bot_recommendation: Updates an existing bot recommendation request
update_export: Updates the password used to protect an export zip archive
update_intent: Updates the settings for an intent
update_resource_policy: Replaces the existing resource policy for a bot or bot alias with a new one
update_slot: Updates the settings for a slot
update_slot_type: Updates the configuration of an existing slot type
update_test_set: The action to update the test set

Examples¶

## Not run: 
svc <- lexmodelsv2()
svc$batch_create_custom_vocabulary_item(
  Foo = 123
)

## End(Not run)