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I came to know about kubeAI its very nice integration of GenAI tools. only access control and usages tracking is missing which is also a important part of LLMOps.
deploying langfuse instance and logging all metrics and tokens in langfuse with user details will be a good idea.
litellm or any other application can be used for sending traces to langfuse, loadbalancing, model failover etc.
user management can be done by litellm or open-webui, where users can create there own tokens and use them.
using this Billing can be done based on token used by team/user.
daily/monthly budget or limits can be set using litellm.
Tools mentioned above are just for reference which I use, but can be replaced with any other tool which will be stable and easy to integrate in exiting framework.
Thanks :)
The text was updated successfully, but these errors were encountered:
Hi
I came to know about kubeAI its very nice integration of GenAI tools. only access control and usages tracking is missing which is also a important part of LLMOps.
deploying langfuse instance and logging all metrics and tokens in langfuse with user details will be a good idea.
Tools mentioned above are just for reference which I use, but can be replaced with any other tool which will be stable and easy to integrate in exiting framework.
Thanks :)
The text was updated successfully, but these errors were encountered: