I want to start Form conversation chat in Microsoft Bot framework.
if(user says hello)
{
reply = what u want to listen hi or hello
if(user says order)
{
reply= start a formbuilder.form with order form workflow
}
if(user says hello)
{
reply= hello
}
}
My problem is the first thing i do always works
example: if i say first chat line as order it starts order form but it never goes to the normal conversation mode even if the form ends.
if i start hi then it always goes in hi mode never goes or create order form on typing order.
Need it to be dynamic
you can use below code to end your conversation when you are in a dialog or a conversation flow ends.
context.Done<object>(new object());
or
context.Done(true);
do let me know if you need any help further
Per my understanding, you want start specific dialogs while triggering different words like "hollo" for greeting dialog, "order" for form dialog.
I think there are two methods to achieve this in C#:
You can leverage Recognize intents to implement LUIS, which can identify your users' intent from their spken or textual input, or utterances. Trigger specific dialogs for each LUIS intent.
For this solution you can refer to the official document Recognize intents and entities with LUIS using a prebuilt domain for details, and refer to https://github.com/Microsoft/BotBuilder-Samples/tree/master/CSharp/intelligence-LUIS for a sample for your reference.
You also can build Global message handlers using scorables in your bot application for yourself. With which, you can route users to certain fuctionality by using words like "help," "cancel," or "start over" in the middle of a conversation when the bot is expecting a different response.
Please refer to https://github.com/Microsoft/BotBuilder-Samples/tree/master/CSharp/core-GlobalMessageHandlers for the sample for this solution.
Hope it helps.
Related
I am a beginner in thunderbird addons so I really appreciate if you can help me. I am trying to find a way in my background javascript to check whenever a user has opened the window for create a new message, reply a message and forward a message. I want to put a default text in the message window before the user is gonna send it. I know thunderbird 78+ should only uses web extension APIs and i found this Compose API but how to use it in my background script.
https://thunderbird-webextensions.readthedocs.io/en/78/compose.html
It looks like setComposeDetails() is what you want.
setComposeDetails(tabId, details)
Updates the compose window. Specify only fields that you want to change. Currently only the to/cc/bcc/replyTo/followupTo/newsgroups fields and the subject are implemented.
tabId (integer)
details (ComposeDetails)
I have note tried it, but I suppose that either details.body or details.plainTextBody from the ComposeDetails object can be used to pass the default text you want to use. So I would try something like this in the background script:
let details = {
body: "This is my default text",
};
browser.messages.setComposeDetails(tabId, details);
You might have to combine it with a call to messages.getComposeDetails() if empty fields in details reset the values in the composer window (I don't know).
If you want to call this when the user opens a new compose window, I would look at the window.onCreated event. If you want to do it right before the message is sent instead, you should look at the compose.onBeforeSend event. All of them are described in the API documentation.
I have a website which links to a chatbot built on IBM Watson Assistant. There are some hyperlinks on the website that I want to trigger specific nodes/ intents the watson dialog.
Example: User clicks on "Provide feedback" link, the watson chatbot launches and based on the link the "provide_feedback" intent is recognised (thus preventing the user from needing to specify the intent after clicking the link).
Has anyone tried this before?
I also came across this requirement and want to mention another alternative here:
Instead of sending an input text that matches the intent of your desired node, you can also pass
Intents to use when evaluating the user input.doc
and tell the assistant to match it with confidence of 1.0.
I think this is a clean method, because you don't need to deal with disambiguation of your input text.
Then you don't need to send input text at all and the intent actually does not even need example phrases :-)
For example if you want to trigger a node that has the intent #provide_feedback
you can call this python example code:
send_message_to_chatbot(text="", intent="provide_feedback")
def send_message_to_chatbot(text="", intent=""):
message = assistant.message(
assistant_id=ASSISTANT_ID,
session_id=SESSION_ID,
input=MessageInput(
text=text,
intents=[RuntimeIntent(intent=intent, confidence=1.0)]
)
).get_result()
return message
Prerequisite is of course that the node is in the root branch of your dialog so it can be triggered.
The Watson Assistant service basically is used via a REST API. That API is invoked from the "Try it" pane in the workspace editor, from your dedicated application or maybe from widgets embedded into a website. The message call is used to send user input to Watson Assistant and to receive a chatbot response.
What you can do is to call the message API from your app and pass a specific term as input message. That term would match an intent and hence trigger a specific dialog node. As an example, if you have an intent "provide_feedback" defined for the phrase "user pressed feedback button" and you pass in exactly that phrase as input message, then the intent "provide_feedback" will match.
I have an intent with an Assistant List containing two options, Apples and Cheese. I want to provide a different response to each option chosen.
My first attempt was to use follow-up intents for each item, but when I do this I get a “not understood” message when tapping/choosing the item. On reading more, I understand this is because the actions_intent_OPTION event has been fired and there is no intent to handle it.
My second attempt was to add the actions_intent_OPTION event handler to each of my follow-up intents. When I did this, only the Cheese intent was invoked each time. I understand this is because actions_intent_OPTION can only be handled by a single intent.
So my conclusion is that the only way I can provide different responses for different items in an Assistant List is to handle this event with a webhook, and that it’s not possible using Dialogflow alone. Can anyone confirm or point me in the right direction if not?
The answer is, as suspected, that you can’t use an Assistant List purely in Dialogflow, you have to add a handler function in the fulfilment, that fires on the event actions_intent_OPTION. For example:
const option = conv.arguments.get('OPTION');
if (!option) {
conv.ask('No choice made');
} else if (option === 'optionA') {
// Do something
} else if (option === 'optionB') {
// Do something else
}
Follow this ideal approach:
remove follow-up intents
add a new intent with event set as actions_intent_OPTION
enable webhook for the new intent
in the webhook extract the selected option
based on the selected option, pass the required response
If you want to use only Dialogflow, then it won't work! This is because, when you select an option, the output context and the generated event both will be the same as the 2 intents - cheese and apple. There will be no way for the AI engine to decide which Intent should be triggered. Whichever intent is first, it will be called every time.
I tried to recreate what you did all be Dialogflow and even put cheese and apple as training phrases for the 2 intents just to provide some differentiation to the AI engine, but it still selected only one intent.
Is it possible to receive the previous message that the user have send to the chatbot (without using quick replies or postback buttons). Example:
User: "Can you call a friend?"
Bot: "Who should I call?"
User: "Tim"
In the API I now have just the information "Tim", without knowing if I should call him or text him or make him a sandwich or whatever. So I basically I want to add some Postbackdata or metadata additionally to the text "Can you call a friend" (intent: 'CALL'), so the message "Tim" will come with that data.
Is there a way without storing the data into a database? AWS Lambda with ClaudiaJs.
I found the metadata field in the FB API which turns out to be the wrong field for that since it is only for communicating between several apps?!
What you are looking for a called a "slot-based bot", or slot-filling, basically meaning that you have a "slot", or blank that needs to be filled in before your bot can perform an action. In your example you have two slots: action and person
Actions could be: call, text, message
Person: name of a person, friend, etc.
I don't think any of the message frameworks (Slack, Facebook, etc) will provide you with the information you need. You will need to build this logic out yourself.
You can look at using wit.ai stories to achieve this.
Look to this similar Stack Overflow question and answer.
You can reverse order of conversation, and at beginning user writes some text or send you something else. After receiving, you should send to user buttonsTemplate, where postbacks will be like "CallTo&Tim" where instead of Tim you can put every text you need to pass to next executor(and you also can store previous user message here). Than just make substring of postback, check it`s type and do whatever you want.
The Facebook SDK has the ability to record both custom events and standard events. The standard events are things like "Purchases" "Add to cart" "Completed Registration" etc...
Recording these standard events gives you access to specific bidding features on Facebook ads that you don't get without the events.
I have an app that has the React Native FBSDK
There are two methods for defining an event - one for purchases and one for everything else as seen here
There is zero documentation for standard events on react within the SDK on Github or on the event tracking docs on Facebook's developer platform.
Right now I'm trying to track the standard events by using their various names, as recorded across FB's documentation. I've tried the following:
AppEventsLogger.logEvent('FBSDKAppEventNameCompletedRegistration');
AppEventsLogger.logEvent('CompletedRegistration');
AppEventsLogger.logEvent('Completed Registration');
All of these just create custom events with those names, but aren't recognized as standard events.
Has anyone gotten standard events to work using the React Native wrapper for the FB SDK? If so how do you name the events to get FB to recognize them?
Update: As the comment below highlights, the more recent link is https://developers.facebook.com/docs/marketing-api/app-event-api/
It looks like you'll have to pass the strings that those standard events get evaluated to, i.e. instead of 'FBSDKAppEventNameCompletedRegistration', you'll have to use: 'fb_mobile_complete_registration'.
Here's the source:
Sorry if this is a bit late. Hope this helps.
I managed to find the actual event name by generating standard event code using tool on Facebook's documentation, run the code in AppDelegate.m, and get the exact key-values from Events Manager. With this roundabout way, I realized the actual name of Add to Cart event was fb_mobile_add_to_cart. From there I googled for the name and found the list documented in Marketing API (why not App Events?).
I don't know if it is the right place, but you can refer to https://developers.facebook.com/docs/marketing-api/app-event-api/ for actual standard event names and parameter names. At least it worked in my case. Here's my Add to Cart event code:
function logAddToCart(totalPrice, contentType, contentId, currency) {
const params = {
'fb_content_type': contentType,
'fb_content_id': contentId,
'fb_currency': currency
};
AppEventsLogger.logEvent('fb_mobile_add_to_cart', totalPrice, params);
}
I made a simple package with all events. Just import like
import FBEvents from "react-native-fbsdk-events";
// ...
AppEventsLogger(FBEvents.COMPLETE_REGISTRATITON, params);