Watson Assistant NLP API integration for Wingbot

Use the Watson Assistant NLP in wingbot chatbot

Installing

npm i -S wingbot-watson

Usage

const { WatsonNlpModel } = require('wingbot-watson');
const { ai } = require('wingbot');

const watsonNlpModel = new WatsonNlpModel({
    username: '<your API username>',
    password: '<your API password>',
    workspaceId: '<your workspace id>',
    serviceUrl: WatsonNlpModel.SERVICE_URL_FRANKFURT // WatsonNlpModel.SERVICE_URL_LONDON
});

ai.register(watsonNlpModel);

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API

Classes

WatsonNlpModel

AI Plugin Model

Typedefs

Entity : object

Intent : object

Result : object

WatsonNlpModel

AI Plugin Model

Kind: global class

• WatsonNlpModel
  • new WatsonNlpModel(options, [log])
  • .SERVICE_URL_DALLAS : string
  • .SERVICE_URL_FRANKFURT : string
  • .SERVICE_URL_LONDON : string

new WatsonNlpModel(options, [log])

Param	Type	Description
options	object
options.username	string	the API username
options.password	string	the API password
options.workspaceId	string	workspace ID
[options.cacheSize]	number
[options.serviceUrl]	string	model url, default Dallas
[log]	Object	logging function

WatsonNlpModel.SERVICE_URL_DALLAS : string

Kind: static property of WatsonNlpModel

WatsonNlpModel.SERVICE_URL_FRANKFURT : string

Kind: static property of WatsonNlpModel

WatsonNlpModel.SERVICE_URL_LONDON : string

Kind: static property of WatsonNlpModel

Entity : object

Kind: global typedef

Param	Type
entity	string
value	string
score	number

Intent : object

Kind: global typedef

Param	Type
intent	string
score	number
[entities]	Array.<Entity>

Result : object

Kind: global typedef

Param	Type
entities	Array.<Entity>
intents	Array.<Intent>