Lets say u said to alexa, the word 'coin' and you programmed this as a synonym of bitcoin (the main objectname). Now u can get 2 results. First: You get the original value 'bitcoin', which is the original value/matched value. Or second: You get the spoken value 'coin' First (bitcoin).

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Alexa lets us define custom slot names – these can be associated with any spoken text. For example, I might want the slot name “car” to be sent whether the user says “car” or “automobile” or “vehicle” or any other synonym. In my case, I want to send my API the ID Code of a hospital. Brybelly 1000-Count Cherry Slot Machine Tokens – Premium Pachislo & IGT Slot Machine Coins – Great for Casino Games & Skill Stop Slot Machines 4.5 out of 5 stars 201 $59.99 $ 59.

I've got a chatbot which is plugged to backend and DialogFlow/ApiAI. I'm trying to set up a skill in Alexa so that I can catch everything that is said to my skill and then forward it to my backend so that i can use my existing infrastructure and convo design.

I've been struggling with Alexa to set up an intent that catch everything and just forward it.From what I understand, you are supposed to use AMAZON.SearchQuery, but I'm getting the following error when i try to set the intent up:

Build FailedSample utterance 'CATCH_ALL {any}' in intent 'CATCH_ALL' must include a carrier phrase. Sample intent utterances with phrase types cannot consist of only slots. Error code: MissingCarrierPhraseWithPhraseSlot -

Does anyone know how to do so ? I tried to use AMAZON.Literal as well, but it seems to be deprecated and I cannot build the skill when i use it.I'm kinda stuck. It would be great if someone had a solution...

Thanks.

I finally managed to do so by doing something like this:

the samples for the intent CATCHALL indicates the number of word you want to catch. So lige this, i will catch any sentence between one and this 5 words.

I'm not sure if this is going to be a problem when I'll submit the app, though.

Note that AMAZON.LITERAL is not supported for any language other than English (US), so this is not a solution for me as it's a french and english chatbot. So i'm back again at the beginning...

edit: Here is the solution without LITERAL:

{ 'interactionModel': { 'languageModel': { 'invocationName': 'mon invocation', 'intents': [ { 'name': 'AMAZON.CancelIntent', 'samples': [] }, { 'name': 'AMAZON.HelpIntent', 'samples': [ 'que puis-je faire' ] }, { 'name': 'AMAZON.StopIntent', 'samples': [ 'je veux quitter' ] }, { 'name': 'CATCH_ALL', 'slots': [ { 'name': 'any', 'type': 'ANYTHING' } ], 'samples': [ '{any}' ] } ], 'types': [ { 'name': 'ANYTHING', 'values': [ { 'name': { 'value': 'hey' } }, { 'name': { 'value': 'hey hey' } }, { 'name': { 'value': 'hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey hey hey hey hey hey' } }, { 'name': { 'value': 'hey hey hey hey hey hey hey hey hey hey hey hey' } } ] } ] } }}

CatchAll Intent with dialog model, This involves the alexa's NLP as it should come as a request from the cloud pointing to the CatchAll Intent when none of the other intents matches� Science projects, work projects and everything in between. Portal does it all. Group video calls, Alexa built-in, Story Time with AR, & more to keep you connected.

Unfortunately, there is no solution at this time. Alexa doesn't support a way to get all the text the way you're looking to do.

Making a CatchAll slot – Developer Feature Requests, At the moment there isn't the possibility to use a CatchAll slot. We can use SearchQuery but only if there isn't any custom slot in the utterance. Alexa - catchall. Ask Question Asked 1 year, 8 months ago. Active 8 months ago. Viewed 2k times 6. 2. I've got a chatbot which is plugged to backend and DialogFlow

You can replace the AMAZON.SearchQuery with AMAZON.Person. Usually AMAZON.SearchQuery require a phrase along with the slot.Using AMAZON.Person there is no need of phrase along with the slot. It would accept any values that you pass to the Intent.

Is there a CatchAll Intend? � Issue #213 � alexa-js/alexa-app � GitHub, Probably worthy of some research to figure out what happens on the JSON side, when user specifies something but Alexa can't figure out what� Alexa create CatchAll custom slot with custom slot type - Catch ALL I need to create intent for Alexa to catch the whole text.

You can create a custom slot with some random words.

How to create a 'catchall' intent - Questions, { 'name': 'WordScoringIntent', 'phrases': [ '{words}' ], 'inputs': [ { 'name': 'words' , 'type': { 'alexa': 'AMAZON.SearchQuery' } } ] },. You won't even need Alexa's help when you stash your keys in this zany catchall. We all need help keeping up with keys, change, and other quick grab essentials. With a marble like outer base and tan vegan leather inside panels. Made in USA.

Alexa Catchall Tray – Femail Creations, You won't even need Alexa's help when you stash your keys in this zany catchall. We all need help keeping up with keys, change, and other quick grab� What marketing strategies does Catchall use? Get traffic statistics, SEO keyword opportunities, audience insights, and competitive analytics for Catchall. catchall.co.kr Competitive Analysis, Marketing Mix and Traffic - Alexa

Advanced, To write an Alexa skill that matches on raw text instead of on intents, try out our experimental CatchAll Mode. The rest of this walkthrough assumes CatchAll� Alexa (whose name is partly inspired by the legendary Library of Alexandria in Egypt) is the voice platform that powers Amazon’s Echo speakers, including the standard Echo (2019 version), the

Advanced: Writing for Alexa (Catch-All Mode), 'Catch-All Mode' is an experimental mode for capturing raw user input that users say to your Alexa skill and using that input to match against triggers. Simply put� YAPISHI Valet Tray Leather Catchall Jewelry Tray Dice Box Bedside Tray Key Phone Coin Change Watches and Candy Holder Sundries Entryway Tray 4.5 out of 5 stars 250 $8.99 $ 8 . 99 $12.99 $12.99

Comments

• I would like to achieve the same thing as you but I don't understand all those hey hey. it will just catch hey sentences in the end....
• Well, as there is no other matching pattern, the 'hey hey' will always be the closest it will find. Finally, i generated x sentences with random words, it achieve the same things, but it's easier to understand when you read. The key thing is to have sentences with always one word more than the previous. otherwise, it won't catch the whole sentence.
• found a solution, I edited the response with the solution
• @JulienCoo yes, but that's not a 'catchall' solution.
• 'AMAZON.SearchQuery require a phrase along with the slot' - this is the key!

In the previous articles we have built a Hello World Alexa skill.As any other hello world programs, the skill does only one job.We can only ask a single question and receive the single answer back.

Although you can build skill using that kind of interaction with a user, sooner or later you will feel the need of getting some custom data from a user.For example, you may want to tell a number or a name of a city and behave differently based on the answer.

Let’s see how we can do that.

Slots

To capture a user’s input we need to use so-called slots in intent utterances.To achieve that, we can use curly braces ({}) to provide a slot name.

For example:We would like to ask a user to provide any number.So we define an “AnswerIntent” with the following utterances:

• Number {numberAnswer}
• The number is {numberAnswer}
• {numberAnswer}

Now, if the user says “The number is five hundred” we would like to get the number and use it somehow in our code.

At that moment we have defined the slot. But we need also to choose a “Slot Type” for that slot.The slot type will help Alexa to understand that is user saying.

That slot type can be either custom or built-in.

Built-in slot types

In our example, we need a number, so there is an “AMAZON.NUMBER” slot type.

That is how the “AnswerIntent” looks in the skill builder.

Besides that type, the skill builder provides a vast amount of other types.The list of types is growing.

For example, there are slot types to work with dates and times.As well as some other interesting ones. There are slot types with a list of airports or animals.

We can use a built-in type and extend it with additional values.

Here is just a small portion of them.

Custom slot types

Let’s say you want to get a more specific response from your users, but there is no built-in slot type for these needs.Then you can build your own custom slot type and provide a list of possible values.

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Go ahead and in the skill builder click to “Add” slot type link and choose a name for your custom slot.

Then you can specify all the possible values for that type. Even add synonyms if you need.

After that, you are free to use the slot type in your slots. Create a new slot in utterance samples and attach the custom type.

Getting values from the slots

We have figured out how to define slots in the skill builder. The half of the job is done.

Now it’s time to access the response from our codebase.

We can achieve that in two steps.

At first, we need to tell Alexa to start listening to a user’s input.To do that we need some intent handler with reprompt call in it.

At this moment Alexa waits for the user’s input.If the user tells us something satisfying the sample utterances from “AnswerIntent” example above,Alexa would trigger “AnswerIntentHandler” where we can fetch a slot value.

The slots a live deep inside handlerInput.requestEnvelope.request.intent.slots object.We can fetch the slot by the name slots['<name-of-the-slot>'] and then access the value slots['<name-of-the-slot>'].value.

Let’s see it in the example:

Here we fetch the slots object to a slots constant.Then we’ve got the value of numberAnswer slot.

That’s it. We’ve got it.

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Now to demonstrate that Alexa understood a user correctly, we tell her to say the number back to the user.

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That is how the dialog looks like.

Wrapping up

We have a new tool in the toolbelt. Now when we need to get some input from the user we can use slots for that.We have learned there are two kinds of slot types: custom and built-in.We can use both in order to build better Alexa skills.

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You can find a complete example on GitHub.