chatbots | Chatbots build with Intelligo Framework | Chat library

I'm working on a chatbot where users can talk to the chatbot and I would like to have the conversation logged into a text file. I was thinking grabbing the

Is there a more efficient way to grab the elements and have them written to a file? At this moment I get nothing in my file.

I'm using HtmlAgilityPack to get the word count a quarter of the length down a page using asp.net Core MVC to view the word lengths/urls returned from the controller, and choosing whatever that element is to append an hr tag (just a placeholder for later code) to. The code works fine for when I get the halfway point from another method, and appends perfectly, but for some reason the code to get the quarter-length element just makes the program hang, even though I have the index of that first-quarter node.

I am trying to implement a multilingual chatbot using RASA NLU. Concretly, I'm designing a separate chatbot for each language (with its own translated and adapted training data). However, it would convenient for the application side if the names of the intents could stay the same between all the chatbots. In that sense, my question is:

Is the name of the intent important for the intent classification when using DIET Classifier ? In other words, is the name of the intent used though the word embedding network or is it just a "label" that has no signification ?

Thank you for your help

I read about this here and here, but still I couldn't figure out how to do it in jQuery ajax. I tried the code from one of the answers of the questions I linked, but it discarded the user agent override:

I have a chatbots (5 pcs) running on testbed cloud server. They all work perfectly in HTTP mode but no I need to change to HTTPS mode and there the problem started. I can get HTTPS working easily but then the chatbot widget doesn't work any more.

My environment:
Chatbot engine: Rasa 2.2 in docker 20.10.6 container
Chatbot widget: Botfront webchat 0.11.12
Web server: Nginx 1.14.0
Server: Ubuntu 18.04

I don't know even what is right way and after banging my head for a week and trying different ways, now I suppose I need to set up Nginx reverse proxy. I think that the problem is websocket between rasa and webchat.

This is how I start one chatbot

docker run --name=sakky --user 1003 -v $(pwd):/app -p "5006:5005" rasa/rasa:2.2.0-full run -m models --enable-api --cors "*" --debug

Here are my config files Index html

I have a database full of messages from various chatbots. The chatbots all follow decision tree format and ultimately are questions presented with choices to which the user responds.

The bot may send a message (Hello would you like A or B?) which has options attached, A and B for example. The user responds B. Both of these messages are recorded and the previous message id attached.

The structure of these conversations is not fixed. There may be various forms of message flow. The above is a simplistic example of how the messages are chained together. For example

my team is developing a chatbot using nodejs botbuilder, LUIS, QnAMaker & Twilio we've managed to build a chatbot

the problem is the Performance of the chatbot is a little less compared to other chatbots i've seen, i feel the callback from twilio is causing some delay cause when running in local bot emulator the performance is good.

so my question is that, is there any other way to create a chatbot for whatsapp other than twilio which would give me a better performance?

or any tips to improve performance?

How do I prevent the Azure cognitive search service from becoming cold after a period of no load?

I use QnaMaker in chatbots (Managed QnA Maker Service version).

QnaMaker seems to idle after not being used for a while. The first query takes 7 seconds to complete. Every query after the first one completes within a second.

The chatbots themselves (developed with Microsoft Bot Framework V4 nodejs) show no latency. Even after not being used for a while (thanks to the "Always on" feature in the bots appservice)

I use the stable GA version of QnaMaker and the managed version (in preview). In the first version, the appservice for QnaMaker has the feature "Always On" enabled. For the preview version, there is no appservice I can check.

Chatbotcode initialization QnaMaker

We have a chatbot which interacts with user based on related queries provided as buttons. But the issue here is he can only select one query through button. So I wanted a way through which user can select multiple query from dropdown or checkboxes. Upon searching I cam across this link:

"Allow users to multiselect option in BotFramework"

Now this is something which can help me, but I wanted to confirm that the adaptive card c# bot framework in used in the link can is compatible with Azure bot services or not ?? Can I use this Adaptive Card botframework in Azure bot services ?

I am noob in this and just started with chatbots and all so any suggestion will help or if there is any other better way to implement multi-select options then it will do as well.