emaadmanzoor/stoppingagents
Optimal stopping agents powered by generative large language models
This helps professionals in roles like sales or customer service optimize when to end a conversation. It takes the ongoing conversation text as input and outputs a 'wait' or 'quit' decision, balancing the value of more information against the cost of waiting. It is designed for anyone who manages conversations where making timely decisions about continuation versus termination impacts efficiency and outcomes.
Use this if you need to make optimal, real-time decisions about when to end a conversation to maximize value or minimize cost, especially in sales or service contexts.
Not ideal if your conversations have fixed lengths, require manual human discretion for every termination, or do not involve a clear trade-off between waiting and quitting.
Stars
4
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
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