I would like to make my Dialogflow country-specific such that when my chatbot starts, I like to pass it some parameters eg country and then to insert the country parameter into the intent which is passed onto my backend. Is that possible? I can't seem to find any information regarding that in the docs or maybe, I might have missed out
Thanks in advance
If your integration is via the Dialogflow APIs or using the Dialogflow Client Library, then you can pass the country in the session ID, and then extract the country from the session ID in fulfillment using agent.session.
Related
Any idea or examples as to how to detect intent using the Dialogflow detect-intent api(https://cloud.google.com/dialogflow/docs/reference/rest/v2/projects.agent.sessions/detectIntent) from a JSON file?
Thank you in advance.
The function is supposed to be hosted on Firebase functions and I am using nodejs.
I will try to explain what I am trying to do.
So I have a bunch of Intents on Dialogflow already. And I know that the starting intent is going to be the Welcome intent. After the Welcome Intent I want to shape the conversation according to the intent list on the json file.
The entire flow is something like this.
Bot: Hello, What form would you like to fill up today?
User: Leave form
Dialogflow matches the leave form with the leave form entity and pulls the leave form json from the storage. The json will contain the fields that are required to be filled up for the form
Bot: Hi, so I would need some details to fill this form.
Bot: Let's start with your name ..... etc etc
So, instead of detecting the intent from the user's side, I need to detect what intent, from the json. The Webhook fulfillment is currently being hosted on Firebase functions and the json is being stored on Firebase Storage(not Database)
The Detect Intent API only helps you to detect the intent from the text sent by you to the Dialogflow agent using the API. So you cannot read the intent from the JSON file using the Detect Intent API, your intent must be imported to the Dialogflow agent.
I am trying to wrap my head around using Dialogflow for developing and integrating an SMS chatbot with our custom CRM. The creation of an Intent is pretty powerful and straight forward. However, I am trying to understand best practices for something. If I have an intent used to return the price of a service at a certain location, I can model that very easily within dialog flow. However, when an SMS message comes in, it will be from a new customer or a known existing customer for a certain location. For existing customers, we already know the location and therefore don't want them to have to specify the location value in the intent. Prior to sending the inbound SMS message to the client API to match the intent, how can I pre-set the "location" parameter value in the intent so it does exists even if that inbound SMS message did not include it? For example a known customer in Dallas would just have to say "how much is a xxx" instead of "how much is a xxx in Dallas".
Can you use the API to set a parameter value prior to calling the API to try and match the intent? If so, how do you get do that without a session ID? The reason the "location" is needed is because when we get to the fulfillment, the prices for the same service are different based on the location so I will need to be known but we don't want to make existing customers say the location.
Maybe another option is to have a Location intent with an event that we can trigger through the API. this would have an output context on it called location and fulfillment that sets the parameter value. But even then I struggle with understanding how to pass in values like location, phone number, etc into dialogflow from the calling application so dialogflow has those parameter values to use in fulfillment.
Reading documentation, watching videos and starting to test client API v2
This is certainly possible. What you would want to do is use the Dialogflow API for this. Here you can find the languages for which Google has created client libraries: https://cloud.google.com/dialogflow/docs/reference/libraries/overview
As soon as you have any 'if' in your code you should use the fulfillment: https://dialogflow.com/docs/fulfillment
How I would handle this:
Client sends SMS
You check in your back-end if this user is known. If known -> don't ask location, else you ask the location
Match the user query against the Dialogflow client library
Dialogflow will return the intent if (any) is matched
You should define and implement any logic before calling the Dialogflow library.
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
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.
I'm trying out few examples in Api.ai console. I see there are examples where the agent responds by using the values that are extracted from the user query or from the context. But is there a way to display response that is formed using the output of the action performed?
For example -
User: Is my pizza order confirmed?
Action: check order status
Response: Yes, it's confirmed (or "No, it's not")
You will have to use some custom webhook to do this, either integrating with a 3rd party API or will a server side call of your own to a database- in this case the webhook would take the user's ID and query if their pizza is ready or not, and this would then be passed back to API.ai.
Here is an example using a 3rd party webhook to do what you are asking:
https://github.com/api-ai/apiai-weather-webhook-sample
Yes you can do this with webhooks.
Typically, you would save the status of the order in your db, then you could have an intent that would:
Understand the query of your user (Is my pizza order confirmed)
The intent would call your webhook
the webhook would return the status order.
Api.ai would then give the answer.
When you use webhooks you need to return the speech response, the displayText, optionally the data that your apps need, the contextOut and the source.
I guess you would also need to have implement some context in api.ai so that you could now who is asking about the satus of the order. You would then be able to use the sessionId
Matt is correct here. You must use a webhook. Unfortunately the documentation from API.AI is currently very poor. Here's a screenshot example of an incoming post request. My message function will return an object with a desired response. In this case, I am using a Telegram chat bot. If you are not using any messenger, you can drop the data key: value. FollowupEvent is also optional.
Node.JS code with Restify
On your API.AI intent, make sure to check off Webhook. If you end getting the text response 'Broken' here, then something went wrong and you should check your error codes.
API.AI intent
And lastly, under the fulfillment tab, make sure to enable the webhook and point it at the right endpoint.