Google Actions- Output response is repeating in loop - dialogflow-es

I'm facing an issue which is output response repeating in loop even after enabling end of conversation for particular intent request.This scenario appears when user ask for particular request, output response is send back to user which is end of conversation.But if the user doesn't ask for any other request still the mic is open,then previous output response starts repeating.
Why this scenario is occurring?

The issue is that you are setting the "End of conversation" switch for the Intent in the Dialogflow configuration, but you're also using fulfillment. In these cases, your webhook code overrides the settings for "end of conversation".
You can use your webhook to set the end of conversation. If you're using the actions-on-google library, then you can use conv.close() instead of conv.ask() to indicate this.
While it isn't a problem, it also doesn't really make sense that you're setting an Output Context when you're also closing the conversation. The Output Context will be ignored. (The Output Context also isn't set if you set Contexts from your webhook.)

Related

Issues with attempting to enter intents

I'm having an issue when attempting to enter specific intents based on the value of a property.
I currently have a question that gets asked, which then fires off to the Microsoft Translator via a HTTP Request and from that, it fires off to the LUIS API with that text.
After that, I would like to enter an intent based on the top intent that the LUIS API Call brought back.
I have the Translator and The LUIS API bringing back values and I can output these using Send Responses:
However, when I attempt to call an intent based on the value of the property, I just get an Object Reference error:
Is what I'm trying to do possible and if so am I going about this entirely the wrong way causing more issues for myself?
Thanks In Advance
I'm trying to understand exactly what you are trying to achieve. Do I summarize it correctly as following?
You start a main dialog. In that dialog you take some user input.
You translate the input, and manually send the the translated text off to LUIS for intent recognition.
Based on the recognized intent, you want to start a specific sub dialog.
I don't believe you can just 'call an intent'. An intent is the result of a LUIS or Regex recognizer, which is processed automatically by Bot Framework. The recognizer is processed at every user input. There is no need to call LUIS yourself as a HTTP request. The recognizer (LUIS or RegEx) is configured on the main dialog properties in Bot Framework Composer:
Although in this case it looks like you are manually doing the LUIS intent recognition, because you want to do translation upfront. To achieve that scenario with the built-in recognizer, you would need a translation middleware. There is a short discussion going on here on Github about translation middleware for Bot Framework Composer, although the sample code is not ready yet.
While there is no code samples for the translation middleware yet, I believe what could already help you today is to start a subdialog based on the recognized intent, similar to what you already show in your screenshots.
Basically instead of "Send a response" at the end of your dialog, you would have something following like:
My sample here uses user input instead of the recognized intent. You would replace the user input with your intent variable instead. Based on the recognized intent, you would be able to spin up a specific dialog to handle that recognized intent.
The result would look something like:
About triggers, what you currently configured in your screenshot shows "no editor for null". I believe this might cause the "object reference" issue. Normally it should display a trigger phrase. For example, the below means:
If user inputs the text "triggerphrase"
And the dialog variable 'topintent' was previously set to 'test', then run this trigger.

Give a variable response in Dialogflow without hardcoding in fulfillment

I'm working on a Dialogflow chatbot, and I'm currently giving the response hard coded in fulfillment using agent.add(). However, the product owner wants to be able to modify the wordings without having to change and redeploy code. What are the options for this, other than storing responses in a file or in a database? Is there a way to have variables in the response when you add it in the response section in the Dialogflow console, where that variable is set in fulfillment, but otherwise the response is given as per the response in the console? Is there a way to select which response is given out of the ones set in the Dialogflow console from fulfillment? I'm using the nodejs fulfillment library without actions on google.
I think you have two options:
Use one intent only with various parameters
You can have multiple variants of responses in one intent. These will be prioritized by the maximum parameters they can fill. For example, if you are sending parameter "a" to a single intent using detectIntent API, the second response here will be triggered and shown to the user.
This is a response1 without parameters
This is a response1 with parameter $a <-- This will be triggered
This is a response1 with parameter $a and $b
As a little hack, you can also send an empty unicode space character here, if you prefer not to generate any parameters on the backend. Not too clean, but would work.
Use events triggered from your backend
In this case, your webhook/backend would choose a proper event to call. Hence, you would have mutliple intents, each with a unique response. You can also combine this approach with the first point above. You can read more about events here.

How to access update the next context a user should go to [DialogFlow Fulfillment]

I am using contexts within Dialogflow to call the next intent for the user. What I would like to do is have the ability for someone to change their mind on an answer they just entered. For example, as seen in the image below, if I enter a name then it would ask for an email. However, the user should be able to say "can I change my name" and go back to the context where Dialogflow is asking for a name.
I already have that intent implemented but I am trying to figure out how to go back to the question they were going to answer before deciding to change their name. I can use fulfillment to capture the raw API response and possibly get the last context however how can I force the user after changing their name to go back their previous context/intent?
You can do this easily by using the fulfillment. You have to save the previous intent contexts and prompt as well as the next intent contexts and prompt in the parameters of the intent.

Handling "cancelling slot filling dialog"

I am building a bot which contains the Slot Filling approach and I want to provide a rich message from a webhook once an exit phrase is input to the bot.
I am building a bot which contains the Slot Filling approach. I came across through "cancelling slot filling dialog" in the documentation from the link https://dialogflow.com/docs/concepts/slot-filling#canceling_slot_filling_dialog
While I was trying it out, I found that not only the mentioned utterances in the documentation, there are more exit phrases like that. Ex: nothing, abort.
I couldn't find any intent/settings to configure/change this behaviour.
Is there a way that I could find out all the exit phrases?
Is there a way to change the output message displayed when the user says an exit phrase?
Can we connect with a webhook after user says an exit phrase to provide a custom rich response?
Attached is the response I get when I say an exit phrase to bot while slot filling
There's no built in way to do it as far as I can tell, but there is a hacky way you could use 3 to achieve 2. I'll assume you are familiar with how Dialogflow webhook requests and responses work generally. Please see here if not.
It basically boils down to checking if Dialogflow is about to respond with one of its stock cancellation phrases, then replacing it with one of your own.
Make sure "enable webhook call for slot filling" is on. When the user types a slot filling exit phrase, the webhook JSON that Dialogflow sends will still have the same intent.name property as the intent you're working with. So you can catch that intent in a switch statement.
Then inside that you can simply use an 'if' statement to check the "FulfillmentText" property of the webhook request and see if it's any of the stock phrases Dialogflow uses to respond to cancellations, such as "Sure, cancelling", or "No problem, cancelling". I don't know how many there are, but I assume there's not too many, you'll have to test to try and find them all.
If it is any of those phrases, you can then change what Dialogflow says to the user by giving back a response to the webhook with your own FulfillmentText set to whatever you want (see the link above with how the JSON response should be structured).
This method isn't exactly ideal as the stock exit responses Dialogflow uses could change and it's hard to know if you've found them all, but it should be a workaround until Dialogflow becomes more flexible.
Also copying my comment about question 1 before since it seems to work (thanks for the typo correction):
I suspect the list of cancelling phrases is the same as that found in the "cancel" intent of the prebuilt smalltalk agent. To find this, go to Prebuilt Agents -> Small Talk -> Import. Then navigate to that agent and find the intent "smalltalk.confirmation.cancel" to view the list of phrases.
Hope this helps.

actions_intent_CANCEL not working as expected

I am trying to follow this great article on Medium written by Jessica Dene. When users say a global cancel command such as "quit", I want my action to respond with a "goodbye" message. I have tried to follow the instructions provided by Jessica as illustrated below:
Add the actions_intent_CANCEL event to my end intent
Know More - no - no is my end intent. As you can see below, when I try to add "actions_intent_CANCEL" under Events, I can't see it as a suggestion in the drop down
But given that actions_intent_CANCEL does exist according to docs, I added it
Error
I saved the intent and tried in the web simulator, I see the below error
Any idea why I am getting this error?
Typing actions_intent_CANCEL in directly was completely appropriate. Most of the ones in the dropdown are for Welcome-like intents rather that in-conversation events that can occur. You have the right action name.
It sounds like you're handling it mostly correctly. The only additional thing you need to do is to explicitly close the conversation.
If you are using a webhook for fulfillment, how you do this depends on the library you're using (assuming you're using a library).
If you're using the actions-on-google library you would use the conv.close() function:
conv.close(`Okay, let's try this again later.`);
With the dialogflow-fulfillment library, it would be agent.end():
agent.end(`Okay, let's try this again later.`);
If you're using multivocal, you can either set the environment setting ShouldClose to true, or set it to true in a Response.
Response: {
"Action.multivocal.welcome": [
{
Template: {
Text: "Hello world."
},
ShouldClose: true
}
]
}
If you are using JSON, you can set payload.data.expectUserResponse to false.
Finally, if you are not using a webhook for fulfillment, but are just using the Responses section of Dialogflow, you would turn "Set this intent as end of conversation" on.
Yes, the actions_intent_CANCEL is removed from the docs and also from the dropdown list of events in Dialogflow.
So for exiting the conversation, you can try the following:--
(1) make an entity entry having all quotes for exiting the conversation e.g:-- bye, goodbye, bbye, talk to you later.
(2) make an intent having examples of the users leaving the conversation e.g:- I have some work, bye for now.
(3) And select the end conversation tap at the bottom of the intent so that conversation ends with the sample response.
(4) Also make a suggestion example for BYE/CANCEL with all the intents for better conversation flow
Using the above steps, you can mimic the actions_intent_CANCEL event

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