I am making call to wit.ai message API from java. It works and i can get the intent and entities for the message as per my story definition.
However I have doubt - when i will be adding multiple stories to my bot on wit.ai platform, i need to
use the same wit.ai URL. In that case how exactly i will extract the intents and entities from the wit response?
Message from user could be for any story message. For extracting entity value from the
wit.ai response i need to specify entity name (in json response) in my method. Lets say - entities.[0].value
Any idea how can i do that in java? Also am not getting how exactly the custom actions defined in the story has to be implemented and use in java.
I tried sample POC in node.js(by following the messenger.js file) and it works fine for custom actions defined. But am not
getting how to do it in java?
Any help/pointers in this regard greatly appreciated.
Thanks.
Even iam looking for the same. Though in the HTTP API they have given how to call conversation involving actions there is no description how to create actions with Java. It is descriptive in case of node js but not java. Let me know if you make any breakthrough. I have written to the support team yet to hear back
Related
I am new to Python. I want to broadcast a custom message to the users who registered my bot in a group or in private / personal.
How to do that function? Please help me - thank you
basically, you'll have to keep track of all the user/chat_ids of the groups/chats you bot is a member in. Then for broadcasting, you'll have to iterate over all of them and send a message to each.
The bot API offers neither a functionality to send messages to a bunch of chat_ids at once nor to get all chat_ids where your bot is currently a member in.
In fact, we have some information about such use cases over at the wiki of python-telegram-bot.
However, the logic is mainly implementation independent, i.e. you'd have to apply the same logic if you were to implement your bot with another python library or even a completely different programming language :)
Disclaimer: I'm currently the maintainer of python-telegram-bot.
I am trying to create a chatbot application where user can create their own bot like Botengine. After going through google I saw I need some NLP api to process user's query. As per wit.ai basic example I can set and get data. Now I am confused, How I am going to create a botengine?
So as far I understand the flow, Here is an example for pizza delivery:-
User will enter a welcome message i.e - Hi, Hello ...
Welcome reply will be saved by bot owner in my database.
User will enter some query, then I will hit wit.ai API to process that query. Example :- Users query is "What kind of pizza's available in your store" and wit.ai will respond with the details of intent "pizza_type"
Then I will search for the intent return by wit in my database.
So, is that the right flow to create a chatbot? Am I in the right direction? Could anyone give me some link or some example so I can go through it. I want to create this application using nodejs. I have also found some example in node-wit, but can't find how I will implement this.
Thanks
What you need is webhook. You need to call different API's based on the user intent. I believe you can distinguish between different intents using parameters available in request. Check this out - Creating nodejs webhook for dialogflow
We are using bot trees master which uses bot graph dialog for loading graph based dialogs dynamically. We have created a scenario to load multiple intents(whose intents scores are nearly matching). Now the problem I am facing is when I request for single intent , I am getting the bot response and able to enter into next intent but when I request for multiple intents bot is giving the response and when I request for another intent , bot is giving the same response of multiple intents. When bot is entering into multiple intent handler it is not clearing the session and not coming out of that handler. I have tried using session.endConversation().
To understand about bot graph dialog:
https://www.microsoft.com/developerblog/2016/11/11/extending-microsofts-bot-framework-with-graph-baseddialogs-/
Can somebody help on this. Thank you
the builder.IntentDialog() used in this project is no longer considered a best practice. Additionally, further support is not expected. Instead, you will want to use bot.Dialog() to create your dialog flows with a .triggerAction(). The trigger matches on phrases which you can set a score to. Unfortunately, it means you will need to recreate the bot-trees project to fit this new model.
You can find information on managing conversations here, including creating triggers.
If you need a more robust system, you can integrate LUIS into your project. Information regarding recognizing intents with LUIS can be found here.
In my NodeJS Dialogflow fulfillment, I want to reference an output context parameter from an intent from 2 requests ago within the session.
The queryResult of the latest request doesn't have that data. And the samples only seem to process WebhookRequest and WebhookResponse (
reference: https://dialogflow.com/docs/reference/api-v2/rest/v2beta1/WebhookResponse )
If I can access https://dialogflow.com/docs/reference/api-v2/rest/v2beta1/projects.agent.sessions.contexts/get I may be able to do it. But I don't quite understand if that implies mixing https://github.com/dialogflow/fulfillment-webhook-nodejs/blob/master/functions/index.js with this Client Library:
https://github.com/googleapis/nodejs-language .
In other words, it's not clear to me what the purpose of https://github.com/googleapis/nodejs-language is. Is nodejs-language intended to substitute actions-on-google fulfillments (in the format of https://github.com/dialogflow/fulfillment-webhook-nodejs/blob/master/functions/index.js ) ?
There is a lot going on here, and it isn't quite clear why you think things fit together the way you do.
The nodejs-language library is used to access Google's Natural Language API that runs as part of the Google Cloud Machine Learning API family. This is a completely separate product from the Google Assistant, Actions on Google, and Dialogflow systems. It is meant as an API for people who are looking for a pre-trained AI that can do things like sentiment and syntax analysis. It is not meant as a substitute for any part of the AoG or Dialogflow platform.
As long as the context set two requests ago was set with a lifetime more than 2, and wasn't cleared in between, then it still should be valid and sent to your fulfillment webhook. Since it sounds like you're using Dialogflow V2, you should be able to get all the currently valid contexts as part of the request that is sent to your fulfillment webhook by looking at the queryResult.contexts object in the request body.
If you're using the fulfillment-webhook-nodejs library that you referenced in your post, this should be available to you in the inputContexts variable.
I’m coding a bot using PHP-BotMan for complexity reasons and using Dialogflow query api to extract and manipulate the informations from the response. I saw examples and hints from people here and on dialogflow forum suggesting using context or events, some of them mixing both. What is the better way to handle this?
The flow of the application is:
user messages bot
bot queries (text or/and #event?) dialogflow
internally process a reply or return dialogflow slotfilling* request
text response bot reply user with last reply or asking to fill slot
Also, how can I be sure that a slotfilling process is finished with “actionIncomplete” only having two values, NULL or TRUE? The dialogflow query response doesn’t show wich slotfilling parameters are required or not…
Thanks for the help!!
slotfilling is when dialogflow sends a text response requesting required parameters to finish an intent, adding those replied values to the context
I was trying something similar to your scenario, here are few points i found helpful:
When Slotfitting with webhook, i can't use the "Required" params field since i have to control the input parameters via webhook (query database to provide options). Which means actionIncomplete field is not useful anymore.
I personally prefer to use context as it can add/remove params which gives you more control.
Hence the dialog was designed to use webhook to check all required params before move on to next conversation flow. and pop quick replies menu to ease and restrict possible input from users.
HTH.