Question 1

How does Kubernetes ChatGPT Bot work with Prometheus alerts?

Accepted Answer

It acts as a webhook receiver for Prometheus alerts, forwarding them to OpenAI's API to generate troubleshooting suggestions, then enriches the alerts with AI insights delivered via Slack buttons, as described in the 'How it works' section.

Question 2

What are the costs of using OpenAI API with this bot?

Accepted Answer

Costs depend on OpenAI API usage per alert query, typically based on the text-davinci-003 model pricing. You need to manage your API key and monitor usage to avoid unexpected charges, since the bot sends data externally for each alert.

Question 3

Can I use Kubernetes ChatGPT Bot without Slack?

Accepted Answer

No, the README lists a Slack workspace as a prerequisite, and the integration is built around Slack's interactive features. There's no built-in support for alternative communication tools like email or Teams.

Question 4

Kubernetes ChatGPT Bot vs HolmesGPT: which one should I choose?

Accepted Answer

Choose HolmesGPT for new projects, as it's the advanced successor with more features and ongoing development. Kubernetes ChatGPT Bot is deprecated, so only use it if already integrated, but plan to migrate due to lack of updates.

Question 5

How to set up Kubernetes ChatGPT Bot with an existing Robusta installation?

Accepted Answer

Add the chatgpt playbook repository and custom playbooks to your generated_values.yaml file, then upgrade Helm with the new configuration, as detailed in the setup steps under 'Load the ChatGPT playbook'.

Question 6

Is Kubernetes ChatGPT Bot secure for production use?

Accepted Answer

Security depends on how you handle the OpenAI API key and alert data sensitivity. Since it sends cluster information to an external service, ensure compliance with data privacy policies and use secure key management practices.

Question 7

What AI model does Kubernetes ChatGPT Bot actually use?

Accepted Answer

It uses OpenAI's text-davinci-003 model, a GPT-3.5 variant, not the ChatGPT model. The name is simplified for familiarity, but technically it's based on older GPT-3.5 technology, as noted in the README footnote.

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