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I'm relatively new to the AI space, but I’ve been really impressed with this tool—it offers a great way for teams to run Kubernetes commands with minimal prior knowledge.
I'm currently working on integrating it into our Kubernetes cluster with a custom chatbot interface layered on top. I’d appreciate some guidance on the following points:
I’m running kubectl-ai inside a pod and exposing it as a service. However, when making API calls, it appears to operate in --quiet mode and doesn't respond interactively. Additionally it doesn't stores the context.
I’ve also explored the built-in UI mode, but found it less intuitive for our use case. Hence, I’m aiming to build a more user-friendly chatbot frontend.
If anyone has implemented a similar setup or has suggestions on how to best approach this integration, I’d be grateful for your insights.
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Hi,
I'm relatively new to the AI space, but I’ve been really impressed with this tool—it offers a great way for teams to run Kubernetes commands with minimal prior knowledge.
I'm currently working on integrating it into our Kubernetes cluster with a custom chatbot interface layered on top. I’d appreciate some guidance on the following points:
I’m running kubectl-ai inside a pod and exposing it as a service. However, when making API calls, it appears to operate in --quiet mode and doesn't respond interactively. Additionally it doesn't stores the context.
I’ve also explored the built-in UI mode, but found it less intuitive for our use case. Hence, I’m aiming to build a more user-friendly chatbot frontend.
If anyone has implemented a similar setup or has suggestions on how to best approach this integration, I’d be grateful for your insights.
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