Alternative Licensing Models for Anonymous Users and Automated Workloads

The current per-user (MAU) option (with the 50-message cap) is great and handles a lot of standard scenarios well.

However, we run into roadblocks with use cases where the end-user is anonymous, impossible to identify, or when the "client" calling the system is actually another application. For those scenarios, it would be awesome to have alternative licensing options—like billing based on LLM tokens consumption or per agent workflow execution.

The idea isn't to overcomplicate the licensing structure, but just to give clients a bit more flexibility when user-based pricing doesn't quite fit their architecture.

To make a consumption-based approach viable, it would also be helpful to include some built-in safety rails:

Cost tracking: A way to monitor LLM usage and keep an eye on billing costs.

A "Hard Stop": A feature that lets admins set a budget threshold and automatically blocks or pauses execution if it gets hit, avoiding any surprise costs.

Idea priority

Low

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Alternative Licensing Models for Anonymous Users and Automated Workloads