here is the image for better understanding, i merged the inline editor, simulator, and skype
I just created an agent and intent entity with sone parameters and in the fullfilment tab, in the inline editor wrote some code to give response specific to the intent parameter, while all this is working as expected in the simulator. But giving generic response(intent static response) in the Skype integration. Should i do anything extra for skype?
Why is the behaviour different?
Does it have anything to do with webhook?
Ps: I have enabled fullfilment for the intent
Related
Is there a way to preview the intent response with confidence score without actually triggering parameters to be filled, possible fulfilment web hooks to be called, etc.
I know Amazon Lex has a "preview intent" call that lets you preview what the response might be before actually doing the official call for a response/fulfillment.
I'm trying to be able to filter the the responses from multiple bots and choose the one with the highest confidence score and I don't want to trigger fulfilment for any bot that isn't going to be used in the dialog.
Dialogflow as of today, does not provide an option to predict the response of an intent before it is being triggered.
Dialogflow ES has Intent matching, and you might be able to do something like the next-best-intents solution, if that helps.
I have made a query flow in dialogflow and it has four intent and in the last intent it uses a webhook to get data from server side and displays the result. It is trained automatically and works perfectly in dialogflow console returning response and query answer. The issue is it does not work when I use embedded url. It fails to recognize the name intent and asks (Can you repeat again or fallback intent). I've removed all intents and made query again, there is no similar name intents. Yet it works well in console and not in embedded url.
For the webhook part I've used node.js service.
Please help in this issue.
By 'embedded url' if you mean Dialogflow Web Demo (DWD), you should keep in mind that DWD can be used only for simple text messages. It does not support messages from webhook or even rich responses. However, if you steel need a web widget to embed your bot to your webpage you either create your own or you should use third party solutions (like Kommunicate). Here's the link regarding the limitations of DWD.
My Dialogflow knowledge base intent is detected when I ask questions withing the knowledge base document while in the dialogflow console try it now and works well in facebook too. But when integrated kommunicate, if i ask a same question, it defaults to fallback intent and responds with fallback response. What could be the cause. I increased the knowledge base slider to strongest.
Screenshot of the console
Kommunicate supports the knowledgebase feature of Dialogflow. However, This feature is disabled by default because it is in the beta phase.
If you want to enable this feature you can contact to Kommunciate support team at support#kommunicate.io with the knowledgebase Ids and bot Id.
Check this answer to get the knowledgebase id from Dialogflow.
I am using dialog flow to create an agent. When I try to embed it in my website, it gives me following error, "Cannot display response in Dialogflow simulator. Please test on the Google Assistant simulator instead.". It works perfectly fine in Google Assistant Simulator. I have seen people embed in their websites, but I don't know what I did different.
Any help would be appreciated.Code1 Code2 Code3 Code4
The expected output is a conversation between user and agent.Screenshot of my web page Screenshot of Dialog Flow Console
Okay, judging by the screenshots you added, you are trying to send a Google Assistant specific response to Dialogflow. In your welcome intent you are returning an Permissions object. This is something that only works for the Google Assistant. The web demo that you are trying to embed into your website doesn't support Google Assistant specific objects.
If you want to use the webdemo try sending only texts messages back to your user by using conv.ask("Your response") and conv.close("Your response") or give a response specific for Dialogflow. You can do this by either checking the request in code and sending a different text only response for Dialogflow users or you can create a Dialogflow only response in the Dialogflow console. Dialogflow responses are refered to as Default on the console.
In trying to work with custom dialog I have encountered some issues. While using Virtual Agent as a testing grounds, I have been trying to redirect all input to a Conversation workspace by doing the following:
Disabling all intents other than the 3 mandated ones (Connect to Agent, Agent Settings, None of the Above).
Configure custom dialog to be invoked on the intent "None of the Above".
This should have the effect of sending all input to the "None of the Above" which essentially sends any input straight into the Conversation workspace. When testing this approach without tying in the workspace, the simple canned message does get invoked on any input as expected. However, when adding the workspace ID and Conversation credentials (checked several times for accuracy), I get the error:
Error -- Unable to create custom dialog service
So I am wondering why this might occur.
Your logic is correct but this error means there is a missing or incorrect workspace attribute.
Please use the following values:
Conversation endpoint
"https://gateway.watsonplatform.net/conversation/api"
API Version:
"2016-07-11"
CaesarOG:
The Off_Topic intent is "special" - it invokes your custom workspace without forcing the intent to be Off_Topic (unlike the other intents in Watson Virtual Agent). This design decision was done so that you could do the sort of thing you are trying to accomplish. If in your custom Conversation workspace you have custom intents, and you add your custom dialog to respond to those intents, the Watson Virtual Agent will have Conversation evaluate your utterances against the custom intent detection system and trigger your custom dialog as you would expect.