Struct aws_sdk_lexruntimev2::client::Client

pub struct Client { /* private fields */ }

Client for Amazon Lex Runtime V2

Client for invoking operations on Amazon Lex Runtime V2. Each operation on Amazon Lex Runtime V2 is a method on this this struct. .send() MUST be invoked on the generated operations to dispatch the request to the service.

Constructing a Client

A Config is required to construct a client. For most use cases, the aws-config crate should be used to automatically resolve this config using aws_config::load_from_env(), since this will resolve an SdkConfig which can be shared across multiple different AWS SDK clients. This config resolution process can be customized by calling aws_config::from_env() instead, which returns a ConfigLoader that uses the builder pattern to customize the default config.

In the simplest case, creating a client looks as follows:

let config = aws_config::load_from_env().await;
let client = aws_sdk_lexruntimev2::Client::new(&config);

Occasionally, SDKs may have additional service-specific that can be set on the Config that is absent from SdkConfig, or slightly different settings for a specific client may be desired. The Config struct implements From<&SdkConfig>, so setting these specific settings can be done as follows:

let sdk_config = ::aws_config::load_from_env().await;
let config = aws_sdk_lexruntimev2::config::Builder::from(&sdk_config)
    .some_service_specific_setting("value")
    .build();

See the aws-config docs and Config for more information on customizing configuration.

Note: Client construction is expensive due to connection thread pool initialization, and should be done once at application start-up.

Using the Client

A client has a function for every operation that can be performed by the service. For example, the DeleteSession operation has a Client::delete_session, function which returns a builder for that operation. The fluent builder ultimately has a send() function that returns an async future that returns a result, as illustrated below:

let result = client.delete_session()
    .bot_id("example")
    .send()
    .await;

The underlying HTTP requests that get made by this can be modified with the customize_operation function on the fluent builder. See the customize module for more information.

Implementations

impl Client

pub fn delete_session(&self) -> DeleteSessionFluentBuilder

Constructs a fluent builder for the DeleteSession operation.

• The fluent builder is configurable:
  • bot_id(impl Into<String>) / set_bot_id(Option<String>):

    The identifier of the bot that contains the session data.

  • bot_alias_id(impl Into<String>) / set_bot_alias_id(Option<String>):

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

  • locale_id(impl Into<String>) / set_locale_id(Option<String>):

    The locale where the session is in use.

  • session_id(impl Into<String>) / set_session_id(Option<String>):

    The identifier of the session to delete.

• On success, responds with DeleteSessionOutput with field(s):
  • bot_id(Option<String>):

    The identifier of the bot that contained the session data.

  • bot_alias_id(Option<String>):

    The alias identifier in use for the bot that contained the session data.

  • locale_id(Option<String>):

    The locale where the session was used.

  • session_id(Option<String>):

    The identifier of the deleted session.

• On failure, responds with SdkError<DeleteSessionError>

impl Client

pub fn get_session(&self) -> GetSessionFluentBuilder

Constructs a fluent builder for the GetSession operation.

• The fluent builder is configurable:
  • bot_id(impl Into<String>) / set_bot_id(Option<String>):

    The identifier of the bot that contains the session data.

  • bot_alias_id(impl Into<String>) / set_bot_alias_id(Option<String>):

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

  • locale_id(impl Into<String>) / set_locale_id(Option<String>):

    The locale where the session is in use.

  • session_id(impl Into<String>) / set_session_id(Option<String>):

    The identifier of the session to return.

• On success, responds with GetSessionOutput with field(s):
  • session_id(Option<String>):

    The identifier of the returned session.

  • messages(Option<Vec<Message>>):

    A list of messages that were last sent to the user. The messages are ordered based on the order that your returned the messages from your Lambda function or the order that messages are defined in the bot.

  • interpretations(Option<Vec<Interpretation>>):

    A list of intents that Amazon Lex V2 determined might satisfy the user’s utterance.

    Each interpretation includes the intent, a score that indicates how confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.

  • session_state(Option<SessionState>):

    Represents the current state of the dialog between the user and the bot.

    You can use this to determine the progress of the conversation and what the next action might be.

• On failure, responds with SdkError<GetSessionError>

impl Client

pub fn put_session(&self) -> PutSessionFluentBuilder

Constructs a fluent builder for the PutSession operation.

• The fluent builder is configurable:
  • bot_id(impl Into<String>) / set_bot_id(Option<String>):

    The identifier of the bot that receives the session data.

  • bot_alias_id(impl Into<String>) / set_bot_alias_id(Option<String>):

    The alias identifier of the bot that receives the session data.

  • locale_id(impl Into<String>) / set_locale_id(Option<String>):

    The locale where the session is in use.

  • session_id(impl Into<String>) / set_session_id(Option<String>):

    The identifier of the session that receives the session data.

  • messages(Message) / set_messages(Option<Vec<Message>>):

    A list of messages to send to the user. Messages are sent in the order that they are defined in the list.

  • session_state(SessionState) / set_session_state(Option<SessionState>):

    Sets the state of the session with the user. You can use this to set the current intent, attributes, context, and dialog action. Use the dialog action to determine the next step that Amazon Lex V2 should use in the conversation with the user.

  • request_attributes(impl Into<String>, impl Into<String>) / set_request_attributes(Option<HashMap<String, String>>):

    Request-specific information passed between Amazon Lex V2 and the client application.

    The namespace x-amz-lex: is reserved for special attributes. Don’t create any request attributes with the prefix x-amz-lex:.

  • response_content_type(impl Into<String>) / set_response_content_type(Option<String>):

    The message that Amazon Lex V2 returns in the response can be either text or speech depending on the value of this parameter.

    • If the value is text/plain; charset=utf-8, Amazon Lex V2 returns text in the response.

• On success, responds with PutSessionOutput with field(s):
  • content_type(Option<String>):

    The type of response. Same as the type specified in the responseContentType field in the request.

  • messages(Option<String>):

    A list of messages that were last sent to the user. The messages are ordered based on how you return the messages from you Lambda function or the order that the messages are defined in the bot.

  • session_state(Option<String>):

    Represents the current state of the dialog between the user and the bot.

    Use this to determine the progress of the conversation and what the next action may be.

  • request_attributes(Option<String>):

    Request-specific information passed between the client application and Amazon Lex V2. These are the same as the requestAttribute parameter in the call to the PutSession operation.

  • session_id(Option<String>):

    The identifier of the session that received the data.

  • audio_stream(ByteStream):

    If the requested content type was audio, the audio version of the message to convey to the user.

• On failure, responds with SdkError<PutSessionError>

impl Client

pub fn recognize_text(&self) -> RecognizeTextFluentBuilder

Constructs a fluent builder for the RecognizeText operation.

• The fluent builder is configurable:
  • bot_id(impl Into<String>) / set_bot_id(Option<String>):

    The identifier of the bot that processes the request.

  • bot_alias_id(impl Into<String>) / set_bot_alias_id(Option<String>):

    The alias identifier in use for the bot that processes the request.

  • locale_id(impl Into<String>) / set_locale_id(Option<String>):

    The locale where the session is in use.

  • session_id(impl Into<String>) / set_session_id(Option<String>):

    The identifier of the user session that is having the conversation.

  • text(impl Into<String>) / set_text(Option<String>):

    The text that the user entered. Amazon Lex V2 interprets this text.

  • session_state(SessionState) / set_session_state(Option<SessionState>):

    The current state of the dialog between the user and the bot.

  • request_attributes(impl Into<String>, impl Into<String>) / set_request_attributes(Option<HashMap<String, String>>):

    Request-specific information passed between the client application and Amazon Lex V2

    The namespace x-amz-lex: is reserved for special attributes. Don’t create any request attributes with the prefix x-amz-lex:.

• On success, responds with RecognizeTextOutput with field(s):
  • messages(Option<Vec<Message>>):

    A list of messages last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.

  • session_state(Option<SessionState>):

    Represents the current state of the dialog between the user and the bot.

    Use this to determine the progress of the conversation and what the next action may be.

  • interpretations(Option<Vec<Interpretation>>):

    A list of intents that Amazon Lex V2 determined might satisfy the user’s utterance.

    Each interpretation includes the intent, a score that indicates now confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.

  • request_attributes(Option<HashMap<String, String>>):

    The attributes sent in the request.

  • session_id(Option<String>):

    The identifier of the session in use.

  • recognized_bot_member(Option<RecognizedBotMember>):

    The bot member that recognized the text.

• On failure, responds with SdkError<RecognizeTextError>

impl Client

pub fn recognize_utterance(&self) -> RecognizeUtteranceFluentBuilder

Constructs a fluent builder for the RecognizeUtterance operation.

• The fluent builder is configurable:
  • bot_id(impl Into<String>) / set_bot_id(Option<String>):

    The identifier of the bot that should receive the request.

  • bot_alias_id(impl Into<String>) / set_bot_alias_id(Option<String>):

    The alias identifier in use for the bot that should receive the request.

  • locale_id(impl Into<String>) / set_locale_id(Option<String>):

    The locale where the session is in use.

  • session_id(impl Into<String>) / set_session_id(Option<String>):

    The identifier of the session in use.

  • session_state(impl Into<String>) / set_session_state(Option<String>):

    Sets the state of the session with the user. You can use this to set the current intent, attributes, context, and dialog action. Use the dialog action to determine the next step that Amazon Lex V2 should use in the conversation with the user.

    The sessionState field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.

  • request_attributes(impl Into<String>) / set_request_attributes(Option<String>):

    Request-specific information passed between the client application and Amazon Lex V2

    The namespace x-amz-lex: is reserved for special attributes. Don’t create any request attributes for prefix x-amz-lex:.

    The requestAttributes field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.

  • request_content_type(impl Into<String>) / set_request_content_type(Option<String>):

    Indicates the format for audio input or that the content is text. The header must start with one of the following prefixes:

    • PCM format, audio data must be in little-endian byte order.

      • audio/l16; rate=16000; channels=1

      • audio/x-l16; sample-rate=16000; channel-count=1

      • audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1; is-big-endian=false

    • Opus format

      • audio/x-cbr-opus-with-preamble;preamble-size=0;bit-rate=256000;frame-size-milliseconds=4

    • Text format

      • text/plain; charset=utf-8

  • response_content_type(impl Into<String>) / set_response_content_type(Option<String>):

    The message that Amazon Lex V2 returns in the response can be either text or speech based on the responseContentType value.

    • If the value is text/plain;charset=utf-8, Amazon Lex V2 returns text in the response.

    • If the value begins with audio/, Amazon Lex V2 returns speech in the response. Amazon Lex V2 uses Amazon Polly to generate the speech using the configuration that you specified in the responseContentType parameter. For example, if you specify audio/mpeg as the value, Amazon Lex V2 returns speech in the MPEG format.

    • If the value is audio/pcm, the speech returned is audio/pcm at 16 KHz in 16-bit, little-endian format.

    • The following are the accepted values:

      • audio/mpeg

      • audio/ogg

      • audio/pcm (16 KHz)

      • audio/* (defaults to mpeg)

      • text/plain; charset=utf-8

  • input_stream(ByteStream) / set_input_stream(ByteStream):

    User input in PCM or Opus audio format or text format as described in the requestContentType parameter.

• On success, responds with RecognizeUtteranceOutput with field(s):
  • input_mode(Option<String>):

    Indicates whether the input mode to the operation was text or speech.

  • content_type(Option<String>):

    Content type as specified in the responseContentType in the request.

  • messages(Option<String>):

    A list of messages that were last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.

    The messages field is compressed with gzip and then base64 encoded. Before you can use the contents of the field, you must decode and decompress the contents. See the example for a simple function to decode and decompress the contents.

  • interpretations(Option<String>):

    A list of intents that Amazon Lex V2 determined might satisfy the user’s utterance.

    Each interpretation includes the intent, a score that indicates how confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.

    The interpretations field is compressed with gzip and then base64 encoded. Before you can use the contents of the field, you must decode and decompress the contents. See the example for a simple function to decode and decompress the contents.

  • session_state(Option<String>):

    Represents the current state of the dialog between the user and the bot.

    Use this to determine the progress of the conversation and what the next action might be.

    The sessionState field is compressed with gzip and then base64 encoded. Before you can use the contents of the field, you must decode and decompress the contents. See the example for a simple function to decode and decompress the contents.

  • request_attributes(Option<String>):

    The attributes sent in the request.

    The requestAttributes field is compressed with gzip and then base64 encoded. Before you can use the contents of the field, you must decode and decompress the contents.

  • session_id(Option<String>):

    The identifier of the session in use.

  • input_transcript(Option<String>):

    The text used to process the request.

    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex V2 is correctly processing the audio that you send.

    The inputTranscript field is compressed with gzip and then base64 encoded. Before you can use the contents of the field, you must decode and decompress the contents. See the example for a simple function to decode and decompress the contents.

  • audio_stream(ByteStream):

    The prompt or statement to send to the user. This is based on the bot configuration and context. For example, if Amazon Lex V2 did not understand the user intent, it sends the clarificationPrompt configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends the confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex V2 sends that message in the response.

  • recognized_bot_member(Option<String>):

    The bot member that recognized the utterance.

• On failure, responds with SdkError<RecognizeUtteranceError>

impl Client

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Panics

This method will panic if the conf has retry or timeouts enabled without a sleep_impl. If you experience this panic, it can be fixed by setting the sleep_impl, or by disabling retries and timeouts.

pub fn config(&self) -> &Config

Returns the client’s configuration.

impl Client

pub fn new(sdk_config: &SdkConfig) -> Self

Creates a new client from an SDK Config.

Panics

• This method will panic if the sdk_config is missing an async sleep implementation. If you experience this panic, set the sleep_impl on the Config passed into this function to fix it.
• This method will panic if the sdk_config is missing an HTTP connector. If you experience this panic, set the http_connector on the Config passed into this function to fix it.

Trait Implementations

impl Clone for Client

fn clone(&self) -> Client

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Client

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.