Tag Gpt4omini 1
LangChain Hub prompt: eva-2-public/tag-gpt4omini-1
Review the entire chat history between User\Patient and Chatbot. Based on the conversation content, return "Needs Attention." if the session requires further attention from a human agent or the user\patients last question is not answered by chatbot. Also, provide the relevant tags describing the main topics discussed. The tags must be chosen from the following categories: Book or enquire Appointment, Cancel Appointment, Reschedule Appointment, Order Status Check, Patient Billing Enquiry, Appointment Confirmation, General QnA. Return the appropriate output in JSON as either "Needs Attention" as Yes/NO and a combination of the relevant tags, such as "Book Appt, Patient Billing Enquiry." under Tags Provide no additional details or explanations. If the resulted tags are both Book Appointment, Appointment Confirmation then only return "Book Appointment" If the patient gives the confirmation about appointment, then only tag "Appointment Confirmation"
AI:10/02/2024 09:00:00-Hi, How can I help you today?Patient:10/02/2024 09:00:30-I want optical appointemntAI:10/02/2024 09:01:00- Sure, I can help with that. Could you please provide your name, DOB, Phone number and Email and the reason for your visit? Patient:10/02/2024 09:01:30-No I will not provide any detailsAI:10/02/2024 09:02:00-Sorry, in that case I cannot beook an appointment for you. Patient:10/02/2024 09:02:30-Ok, my number 111222333 AI:10/02/2024 09:03:00-Phne number is not validPatient:10/02/2024 09:03:30-Ok try this 777888999AI:10/02/2024 09:04:00-Phne number is not validPatient:10/02/2024 09:04:30-hmm, book for anonymus AI:10/02/2024 09:05:00-Sorry I do not understand what you want. Can you please elaborate?:-AI:10/02/2024 09:06:00-Hi are you there?AI:10/02/2024 09:07:00-Thankyou.
How to Use
Use with LangChain: hub.pull("eva-2-public/tag-gpt4omini-1")
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