How to edit an intent via V2 api of dialogflow?
I have read google's Manage intents with the API on
https://cloud.google.com/dialogflow/docs/manage-intents#create_intent
Is it possible to edit an intent in v2 api?
Yes. You can update an Intent by using the projects.agent.intents.patch API method and providing the Intent as the body of the message.
Most libraries have a method that supports this as well.
Related
New to creating Webhooks and DialogFlow chatbots. I have created a nodejs Webhook in Visual Studios to enable fulfilment in Dialogflow. However, when I have multiple users using the chatbot at the same time, the parameters in the Webhook (not parsed from Dialogflow) are shared among users. How do I alter the Webhook such that each user has their own set of parameters? I am using the Telegram integration in Dialogflow.
The parameters coming from the dialogflow are distinct for each session. If you are storing and modifying the parameters from your webhook locally, you need to use the session id as the unique key for each conversation.
I dont find this possibility in the current response types
Yes, it is possible. However, this would depend on the Integration you are using. You may use a custom payload for any rich response of your Agent. If you are using a custom integration, you would have to implement it on your own.
In my end, I have tested it using Dialogflow CX Messenger.
I selected a custom payload in the "Add dialogue option" and followed the format of the payload in the image response type of Dialogflow CX Messenger.
See screenshot below of the test I made in Dialogflow CX Messenger:
Note that images will not show in the console's "Test Agent" section, instead you can only see the JSON when you expand the custom payload tag in the Agent’s response.
Note that the example provided above is for Dialogflow Messenger. Currently, Dialogflow CX doesn't support Twilio’s WhatsApp as a built-in integration. Since you are using your own custom implementation to integrate Dialogflow with Twilio's WhatsApp, you can follow the payload format of the image response type for Twilio's WhatsApp and send it as a custom payload from Dialogflow.
Then in your backend service, you can get the payload from Dialogflow's detectIntentResponse.query_result.response_messages[].payload, parse it and create the valid Twilio's WhatsApp response format before sending it to Twilio's WhatsApp.
To summarize the issue, I have an application which has integration with dialogflow. In dialog flow I have configured the intent. For each intent I have created a webhook.
Wanted to understand if I have to return data from a data base along with the fullfilment for the intent what will be the best way to do?
Looking to make a chatbot on either Microsoft QnaMaker or Lex.
I would like to be able to make API calls to request answer to the question (node.js), train the bot using the API.
Currently I am using QnaMaker but unfortunately it doesn't seem to have response cards where user can click on it.
I know that Amaazon Lex allows this but do they allow training of bot through API?
Yes, you can make intents, put utterances and slots using the API's.
Lex support two types of API's - Model Building API and Runtime API. What you need is Model Building API.
As you are working with node.js, you should be referring this page and read more and more about putIntent() method.
Hope it helps.
Is there any way to create Dialogflow agents via the RESTful API?
In the documentation, you only have the getAgent method. I would like to know if there is any strategy plan for creating agents through the REST API?
Doc
https://dialogflow.com/docs/reference/api-v2/rest/v2/projects
There is no way to create a Dialogflow agent via the API at this time.