Expand description

Contact Lens for Amazon Connect enables you to analyze conversations between customer and agents, by using speech transcription, natural language processing, and intelligent search capabilities. It performs sentiment analysis, detects issues, and enables you to automatically categorize contacts.

Contact Lens for Amazon Connect provides both real-time and post-call analytics of customer-agent conversations. For more information, see Analyze conversations using Contact Lens in the Amazon Connect Administrator Guide.

Crate Organization

The entry point for most customers will be Client. Client exposes one method for each API offered by the service.

Some APIs require complex or nested arguments. These exist in model.

Lastly, errors that can be returned by the service are contained within error. Error defines a meta error encompassing all possible errors that can be returned by the service.

The other modules within this crate are not required for normal usage.

Re-exports

pub use config::Config;
pub use client::Client;

Modules

Client and fluent builders for calling the service.

Configuration for the service.

Errors that can occur when calling the service.

Input structures for operations.

Base Middleware Stack

Data structures used by operation inputs/outputs.

All operations that this crate can perform.

Output structures for operations.

Paginators for the service

Structs

App name that can be configured with an AWS SDK client to become part of the user agent string.

Binary Blob Type

Stream of binary data

AWS SDK Credentials

DateTime in time.

API Endpoint

The region to send requests to.

Retry configuration for requests.

Enums

All possible error types for this service.

Failed SDK Result

Statics

Crate version number.