npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

botkit-middleware-apiai

v0.1.1

Published

Middleware for using Api.ai with Botkit-powered bots

Downloads

8

Readme

Botkit Middleware Apiai

This middleware plugin for Botkit allows you to utilize Api.ai, a natural language classifier service directly into the Botkit corebot.

The Api.ai platform lets developers seamlessly integrate intelligent voice and text based command systems into their products to create consumer-friendly voice/text-enabled user interfaces.

Setup

In order to utilize api.ai's service you will need to create an account and an agent. An agent will represent your Bot's comprehension skills. Head over to their sign up page to get started. After creating an account you will be able to create your first agent and start creating intents. Grab the developer access token for your local dev and a client access token for production as seen below

Api.ai Tokens

Next you will need to add botkit-middleware-apiai as a dependency to your Botkit bot:

npm install --save botkit-middleware-apiai

Enable the middleware:

var apiai = require('botkit-middleware-apiai')({
    token: <my_apiai_token>,
    skip_bot: true // or false. If true, the middleware don't send the bot reply/says to api.ai
});

controller.middleware.receive.use(apiai.receive);

// apiai.hears for intents. in this example is 'hello' the intent
controller.hears(['hello'],'direct_message',apiai.hears,function(bot, message) {
    // ...
});

// apiai.action for actions. in this example is 'user.setName' the action
controller.hears(['user.setName'],'direct_message',apiai.action,function(bot, message) {
    // ...
});

What it does

Using the Api.ai middleware with Botkit causes every message sent to your bot to be first sent through Api.ai's NLP services for processing. The response from Api.ai is then returned in the incoming messages as message.intent, message.entities for any language entities (dates, places, etc), message.fulfillment for Api.ai specific speech fulfillment, message.confidence for the confidence interval, and finally the message.nlpResponse which represents the raw request as seen below:

    {
      "id": "XXXX",
      "timestamp": "2016-05-31T18:20:38.992Z",
      "result": {
        "source": "agent",
        "resolvedQuery": "hello",
        "action": "",
        "actionIncomplete": false,
        "parameters": {},
        "contexts": [],
        "metadata": {
          "intentId": "XXX",
          "webhookUsed": "false",
          "intentName": "hello"
        },
        "fulfillment": {
          "speech": ""
        },
        "score": 1
      },
      "status": {
        "code": 200,
        "errorType": "success"
      }
    }