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api-ai-botkit-facebook
Advanced tools
Utility lib for creating Facebook Messenger bots with Botkit and api.ai
Utility lib for creating Facebook Messenger bots with Botkit and api.ai. Based off of the api-ai-botkit.
For usage sample code see examples/sample_bot.js
Install library from npm
npm install --save api-ai-botkit-facebook
Import Library
const apiaibotkit = require('api-ai-botkit-facebook');
Create apiai
object using token from http://api.ai website
const apiai = apiaibotkit({ token: 'some-API.ai-token' });
or to use sticky sessionIds, which generate the api.ai session id from the message channel, so sessions will stick even after a server restart
const apiai = apiaibotkit({ token: 'some-API.ai-token', useStickySessions: true });
Use apiai
object in controller.hears
controller.hears('.*', 'message_received', function (bot, message) {
apiai.process(message, bot);
});
Implement different reactions to appropriate actions
apiai
.action('greetings', function (message, resp, bot) {
var responseText = resp.result.fulfillment.speech;
bot.reply(message, responseText);
})
.action('input.unknown', function (message, resp, bot) {
bot.reply(message, "Sorry, I don't understand");
})
.action(null, function(message, resp, bot) {
// handle all actions no not specified with
// other actions (e.g., greetings and input.unknown)
var responseText = resp.result.fulfillment.speech;
bot.reply(message, responseText);
})
;
The functionality can be extended using middleware functions. These functions can plugin to the api.ai running processes at couple useful places and make changes to both the query or response.
The module currently supports middleware insertion in two places:
Request and Response middleware functions are added to the module using an Express-style "use" syntax. Each function receives a set of parameters and a next function which must be called to continue processing the middleware stack.
Request middleware can be used to do things like preprocess the query or options before it gets sent out to api.ai.
apiai.middleware.query.use((message, query, options, bot, next) => {
// do something...
// options.contexts.resetContexts = true;
next();
});
Response middleware can be used to do things like preprocess the response content. Additional information can be added to the response object for use down the chain.
apiai.middleware.response.use((message, response, bot, next) => {
// do something...
// response.extrainfo = 'bar';
next();
});
Add an apiaiOptions
property to the message
to pass options to api.ai in the query.
controller.hears('contact me', 'message_received', function (bot, message) {
message.apiaiOptions = {
contexts: [
{
"name": "contact",
"lifespan": 4,
"parameters": {
"username": "fred"
}
}
]
};
apiai.process(message, bot);
});
Add an event
property to the message
to call the eventRequest
function. By default, process
calls the textRequest
function.
controller.hears('trigger event', 'message_received', function (bot, message) {
message.event = {
name: 'Event1',
data: {
parameterName: 'parameter_value',
foo: 'bar'
}
};
apiai.process(message, bot);
});
FAQs
Utility lib for creating Facebook Messenger bots with Botkit and api.ai
The npm package api-ai-botkit-facebook receives a total of 1 weekly downloads. As such, api-ai-botkit-facebook popularity was classified as not popular.
We found that api-ai-botkit-facebook demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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