Reference

Create Wit.ai App

Creates a new application in Wit.ai to set up a natural language processing environment for training and managing conversational AI models. This allows you to programmatically establish the foundation for building voice or text-based AI assistants.

Delete App

Removes a specific app from your Wit.ai account by its ID, permanently deleting the app and all associated data.

Export App Data

Download a complete backup of your Wit.ai app as a ZIP file, including all configurations, training data, and settings. This creates a portable copy of your AI model that you can store safely or transfer to another system.

Get App Details

Retrieve detailed information and configuration settings for a Wit.ai application, including metadata about its structure and capabilities.

List Wit.ai Apps

Retrieve all Wit.ai applications associated with your account, with support for browsing through multiple pages of results. Use this to see an overview of your AI conversational projects and manage them programmatically.

Update Wit.ai App

Modify settings and configuration of an existing Wit.ai app, such as updating its name, privacy settings, or language preferences. Use this when you need to adjust your conversational AI application after initial setup.

Create Wit.ai Entity

Define custom entity types in your Wit.ai application to improve how your chatbot or voice assistant understands and extracts specific information from user messages.

Delete Entity

Permanently removes an entity from your Wit.ai app when you no longer need it for intent recognition or conversation understanding. Use this to clean up your AI model by deleting outdated or unused entities that are no longer relevant to your chatbot or voice assistant.

Delete Entity Role

Remove a specific role assignment from an entity in your Wit.ai knowledge base, helping you maintain accurate language understanding models as your business needs evolve.

Get Entity Details

Retrieve detailed information about a specific entity including its keywords and roles to understand how it's configured in your Wit.ai application. This helps you manage and verify entity definitions when building natural language understanding features.

List Entities

Retrieve all custom entities defined in your Wit.ai application to understand what data types your AI model can recognize and extract from conversations.

Create Wit.ai Intent

Defines a new intent in Wit.ai to teach your AI assistant what user messages mean and how to respond appropriately. This enables your chatbot to understand and categorize different types of customer requests with greater accuracy.

Get Intents

Retrieve all intents you've defined in your Wit.ai app to review, manage, or integrate your natural language processing setup. This helps you understand what user intentions your AI model can currently recognize.

Delete Intent

Permanently removes an intent from your Wit.ai application, freeing up space and cleaning up your conversational AI model. Use this when you no longer need certain conversation patterns or want to simplify your bot's capabilities.

Get Intent Details

Retrieve comprehensive information about a specific intent including its name, entities, and configuration. Use this when you need to understand the complete setup of an intent in your Wit.ai application.

Add Entity Keyword

Expands your Wit.ai entity with new keyword variations and synonyms to improve how your AI understands customer language and intents.

Add Keyword Synonym

Expands how your AI model recognizes keywords by adding alternative terms or phrases to existing keywords, improving the accuracy of intent detection and entity extraction.

Delete Entity Keyword

Remove specific keywords from your AI entity definitions in Wit.ai, allowing you to refine what phrases your bot recognizes and understands. This helps keep your training data clean and accurate as your bot's vocabulary evolves.

Delete Keyword Synonym

Remove a synonym mapping from a keyword in an entity to keep your natural language processing model clean and accurate. Use this when you need to eliminate outdated or incorrect synonym associations that might interfere with intent recognition.

Wit.ai Detect Language

Automatically identify the language of text input and receive confidence scores for each detected language. Useful for processing multilingual content and routing messages to appropriate handlers based on language.

Wit.ai Get Message

Analyzes customer messages to automatically extract what they're asking for, who or what they're referring to, and important characteristics of their request. This helps you understand customer intent without manual interpretation.

List App Tags

Retrieve all tag groups and versions associated with your Wit.ai app to track different snapshots and iterations of your conversational AI model. This helps you manage multiple versions of your app for testing, rollback, and deployment purposes.

Add Value to Trait

Extends your Wit.ai traits by adding new values to existing trait definitions, allowing you to expand the vocabulary your AI model recognizes. This helps your conversational AI handle more variations of user input without retraining the entire model.

Create Wit.ai Trait

Define custom attributes for entities in your Wit.ai app to train your AI model to recognize and categorize specific entity characteristics, enabling more nuanced natural language understanding tailored to your business needs.

Get Trait Details

Retrieve detailed information about a specific trait in your Wit.ai model, including its values and configuration. Use this when you need to access trait metadata to understand how your AI model categorizes user inputs.

List Traits

Retrieve all traits defined in your Wit.ai app to understand what custom attributes and entity categories are available for your conversational AI model. This helps you manage and organize the data points your chatbot can recognize and process.

Create Wit.ai Training Utterances

Add training examples with annotations to improve your Wit.ai natural language model's ability to understand customer intent and extract meaningful information from conversations.

List Utterances

Retrieve all training utterances from your Wit.ai app to view and analyze the examples used to train your AI model. This helps you understand what data your app has learned from and identify gaps in your training dataset.

Delete Utterances

Remove validated training samples from your Wit.ai app to clean up outdated or incorrect data that may be affecting your AI model's performance.

Get Voice Details

Retrieve detailed information about a specific text-to-speech voice, including its available styles and parameters. Use this when you need to understand voice capabilities before generating audio content.

List Voices

Retrieve all available text-to-speech voices organized by language and locale to choose the right voice for your audio content. Use this to discover voice options before generating synthesized speech for your application.