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I am new to Zendesk and to be honest will not be the one using it extensively as it is not my area of expertise. I have been only asked to add some NLP elements to the chats happening within the application. The NLP elements are to be used to help the agent respond. Is there a way that I can do this using zenpy or not? I have noticed that the "Chat Conversations API" might be something that could help me but it is mentioned that it needs the "Enterprise" package to be used and so far I am still in my testing phase and made a free account for testing.
Does anyone have any idea how to proceed in my end? Does Zenpy cover what I need to do or do I to follow a different approach?
The text was updated successfully, but these errors were encountered:
Ultimately, Chats turn into ticket comments for posterity. The easiest and best way to employ zenpy is to start with the ticket as the base model, and get the comments associated with the ticket. Comments can come from a multitude of "channels", of which include but are not exclusive to chat channels.
Please see the documentation here: http://docs.facetoe.com.au/zenpy.html?highlight=ticket%20comments
I am new to Zendesk and to be honest will not be the one using it extensively as it is not my area of expertise. I have been only asked to add some NLP elements to the chats happening within the application. The NLP elements are to be used to help the agent respond. Is there a way that I can do this using zenpy or not? I have noticed that the "Chat Conversations API" might be something that could help me but it is mentioned that it needs the "Enterprise" package to be used and so far I am still in my testing phase and made a free account for testing.
Does anyone have any idea how to proceed in my end? Does Zenpy cover what I need to do or do I to follow a different approach?
The text was updated successfully, but these errors were encountered: